CN108708695B

CN108708695B - Method and device for determining dominant seepage channel and storage medium

Info

Publication number: CN108708695B
Application number: CN201810416288.9A
Authority: CN
Inventors: 韩培慧; 高淑玲; 陈国�; 刘宏生; 刘海波; 张新亮; 路克微; 魏长清; 马沫然
Original assignee: Petrochina Co Ltd; Daqing Oilfield Co Ltd
Current assignee: Petrochina Co Ltd; Daqing Oilfield Co Ltd
Priority date: 2018-05-03
Filing date: 2018-05-03
Publication date: 2021-01-01
Anticipated expiration: 2038-05-03
Also published as: CN108708695A

Abstract

The invention discloses a method and a device for determining an advantageous seepage channel and a storage medium, and belongs to the technical field of oilfield development. The method comprises the following steps: and when the dominant seepage channel exists in the target oil layer according to the target permeability, the oil saturation and the target oil reservoir index parameter, the dominant seepage channel exists in the oil reservoir. The target permeability is the current permeability, and the target oil reservoir index parameter is the water absorption ratio, or the target permeability is the original permeability, and the target oil reservoir index parameter comprises the permeability variation, the interwell water-passing multiple of the target interconnected well group and the water injection efficiency. The method can be combined with dynamic and static production parameters of the oil reservoir, original oil reservoir attributes and current oil reservoir attributes, and determines whether the oil reservoir has the advantage seepage passage or not from comprehensive evaluation of various influence factors, so that the accuracy of determining the advantage seepage passage is improved, and the development cost of the oil field is reduced.

Description

Method and device for determining dominant seepage channel and storage medium

Technical Field

The invention relates to the technical field of oilfield development, in particular to a method and a device for determining an advantageous seepage channel and a storage medium.

Background

In the process of oilfield flooding development, multiple seepage channels are formed in a reservoir by injected water in an oilfield, and the flow of the injected water changes the pore structure of a part of the seepage channels in the reservoir, so that the permeability of the part of the seepage channels is enlarged, the flow conductivity of the part of the seepage channels is enhanced, and the seepage characteristics of fluid are strongly mutated. In the actual development process, the anisotropic development of the reservoir easily causes the injected water to rush along the dominant seepage channel, so that an inefficient or ineffective water injection cycle is formed, the swept volume of the injected water is reduced, and the development effect of the oil field is seriously influenced. Therefore, in order to improve the development effect of the oil field, whether the oil reservoir in which the oil field is located has a dominant seepage channel needs to be determined, so that the development planning of the oil field and the compiling and adjusting of the development scheme are guided.

At present, the dominant seepage channel is mainly determined by a water absorption and liquid production profile analysis method. Specifically, the method mainly analyzes the water absorption and liquid production profiles of each oil-water well in the oil deposit, determines the changes of water absorption and liquid production of each oil layer of the oil-water well in the longitudinal direction, and then determines the development conditions of seepage channels among a plurality of oil-water wells by using the changes of water absorption and liquid production of a plurality of oil wells in the oil deposit in the same oil layer.

In the process of implementing the invention, the inventor finds that at least the following problems exist in the prior art:

the water absorption and liquid production profile analysis method only analyzes water absorption and liquid production factors, the accuracy for determining the dominant seepage channel is low, the method needs to perform analysis and test on water absorption and liquid production profiles of a plurality of oil-water wells in an oil deposit, and each oil-water well needs to be shut down for matching when being analyzed and tested, so that the development cost of an oil field is increased, and corresponding production time is wasted.

Disclosure of Invention

In order to determine whether an oil reservoir has a dominant seepage passage and thus guide the planning of oil field development and the compiling and adjusting of a development scheme, the embodiment of the invention provides a method, a device and a storage medium for determining the dominant seepage passage. The technical scheme is as follows:

in a first aspect, a dominant seepage channel determination method is provided, the method including:

acquiring target permeability, oil saturation and target oil reservoir index parameters of a target oil layer, wherein the target oil layer refers to any oil layer included in an oil reservoir to be researched;

the target permeability is a current permeability, the target reservoir index parameter is a water absorption ratio, or the target permeability is an original permeability, the target reservoir index parameter comprises a permeability variation, an inter-well water passing multiple and a water injection efficiency of a target communication well group, the permeability variation is a difference between the current permeability and the original permeability, and the target communication well group is any communication well located in a target oil layer;

and when determining that a dominant seepage channel exists in the target oil layer according to the target permeability, the oil saturation and the target oil reservoir index parameter, determining that the dominant seepage channel exists in the oil reservoir, wherein the dominant seepage channel is a seepage channel which has a strong abrupt change relationship with an adjacent seepage channel and is injected with water and suddenly enters.

Optionally, the target permeability is the current permeability, and the target reservoir index parameter is the water absorption ratio;

before the determining that the oil reservoir has the dominant seepage channel, the method further comprises:

and when the current permeability is greater than or equal to a preset permeability, the oil saturation is less than or equal to a preset oil saturation, and the water absorption ratio is greater than or equal to a preset water absorption ratio, determining that the dominant seepage channel exists in the target oil layer.

Optionally, the target permeability is the original permeability, and the target reservoir indicator parameters include the permeability change, the inter-well water-crossing multiple of the target interconnected well group, and the water injection efficiency;

respectively carrying out normalization processing on the original permeability, the permeability variation, the interwell water passing multiple, the oil saturation and the water injection efficiency to obtain a normalization value of the original permeability, a normalization value of the permeability variation, a normalization value of the interwell water passing multiple, a normalization value of the oil saturation and a normalization value of the water injection efficiency;

processing the normalization value of the original permeability, the normalization value of the permeability variation, the normalization value of the inter-well water passing multiple, the normalization value of the oil saturation and the normalization value of the water injection efficiency according to a preset rule to obtain a comprehensive identification index;

and when the comprehensive identification index is larger than a first preset threshold value, determining that the dominant seepage channel exists in the target oil layer.

Optionally, the normalizing the original permeability, the permeability variation, the interwell water crossing multiple, the oil saturation and the water injection efficiency to obtain a normalized value of the original permeability, a normalized value of the permeability variation, a normalized value of the interwell water crossing multiple, a normalized value of the oil saturation and a normalized value of the water injection efficiency respectively includes:

respectively determining the maximum limit values of the original permeability, the permeability variation and the cross-well water-passing multiple, and the minimum limit values of the oil saturation and the water injection efficiency;

and respectively carrying out normalization processing on the original permeability, the permeability variation, the interwell water passing multiple, the oil saturation and the water injection efficiency according to the original permeability, the permeability variation and the maximum limit value of the interwell water passing multiple and the minimum limit value of the oil saturation and the water injection efficiency to obtain a normalized value of the original permeability, a normalized value of the permeability variation, a normalized value of the interwell water passing multiple, a normalized value of the oil saturation and a normalized value of the water injection efficiency.

Optionally, the processing, according to a preset rule, the normalization value of the original permeability, the normalization value of the permeability variation, the normalization value of the inter-well water crossing multiple, the normalization value of the oil saturation, and the normalization value of the water injection efficiency to obtain a comprehensive identification index includes:

determining a quintic root of a product between the normalized value of the original permeability, the normalized value of the permeability change amount, the normalized value of the interwell water crossing times, the normalized value of the oil saturation and the normalized value of the waterflood efficiency, and taking the quintic root of the product as the comprehensive identification index.

and weighting the normalized value of the original permeability, the normalized value of the permeability variation, the normalized value of the cross-well water multiple, the normalized value of the oil saturation and the normalized value of the water injection efficiency to obtain the comprehensive identification index.

Optionally, the weighting the normalized value of the original permeability, the normalized value of the permeability variation, the normalized value of the inter-well water crossing multiple, the normalized value of the oil saturation, and the normalized value of the water flooding efficiency to obtain the comprehensive identification index includes:

weighting the absolute value of the R-th power of the product of the any R normalization values, the absolute value of the S-th power of the product of the any S normalization values and the T normalization values according to the normalization value of the original permeability, the normalization value of the permeability variation, the normalization value of the cross-well water crossing multiple, the weight of the R-th power of the product of the oil saturation normalization values and any R normalization values in the normalization values of the water flooding efficiency, the weight of the S-th power of the product of any S normalization values except the any R normalization values and the weight of the T normalization values except the any R normalization values to obtain the comprehensive identification index;

wherein R and S are each an integer of 0 or more and less than 5, T is an integer of 0 or more and less than or equal to 5, and the sum of R, S and T is equal to 5.

Optionally, after determining that the dominant seepage channel exists in the target reservoir, the method further includes:

and determining the grade of the dominant seepage channel existing in the target oil layer according to the size of the comprehensive identification index, wherein the grade of the dominant seepage channel is used for indicating the flow conductivity of the dominant seepage channel.

Optionally, the determining, according to the magnitude of the comprehensive identification index, the level of the dominant seepage channel existing in the target reservoir includes:

when the comprehensive identification index is larger than a first preset threshold and smaller than or equal to a second preset threshold, determining that the dominant seepage channel existing in the target oil layer is a first-level dominant seepage channel, wherein the second preset threshold is larger than the first preset threshold;

when the comprehensive identification index is larger than a second preset threshold and smaller than or equal to a third preset threshold, determining that the dominant seepage channel existing in the target oil layer is a second-level dominant seepage channel, wherein the third preset threshold is larger than the second preset threshold;

and when the comprehensive identification index is larger than the third preset threshold value, determining that the dominant seepage channel existing in the target oil layer is a third-level dominant seepage channel.

In a second aspect, there is provided a dominant seepage pathway determination apparatus, the apparatus comprising:

the system comprises an acquisition module, a data acquisition module and a data acquisition module, wherein the acquisition module is used for acquiring target permeability, oil saturation and target oil reservoir index parameters of a target oil layer, and the target oil layer refers to any oil layer included in an oil reservoir to be researched;

and the first determination module is used for determining that the oil reservoir has the dominant seepage channel when determining that the target oil layer has the dominant seepage channel according to the target permeability, the oil saturation and the target oil reservoir index parameter, wherein the dominant seepage channel is a seepage channel which has a strong abrupt change relationship with an adjacent seepage channel and is suddenly injected by water.

the device further comprises:

and the second determination module is used for determining that the dominant seepage channel exists in the target oil layer when the current permeability is greater than or equal to a preset permeability, the oil saturation is less than or equal to a preset oil saturation and the water absorption ratio is greater than or equal to a preset water absorption ratio.

the device further comprises:

the first processing module is used for respectively carrying out normalization processing on the original permeability, the permeability variation, the cross-well water passing multiple, the oil saturation and the water injection efficiency to obtain a normalization value of the original permeability, a normalization value of the permeability variation, a normalization value of the cross-well water passing multiple, a normalization value of the oil saturation and a normalization value of the water injection efficiency;

the second processing module is used for processing the normalized value of the original permeability, the normalized value of the permeability variation, the normalized value of the inter-well water passing multiple, the normalized value of the oil saturation and the normalized value of the water injection efficiency according to a preset rule to obtain a comprehensive identification index;

and the third determining module is used for determining that the dominant seepage channel exists in the target oil layer when the comprehensive identification index is larger than a first preset threshold value.

Optionally, the first processing module includes:

the first determining unit is used for respectively determining the original permeability, the permeability variation and the maximum limit value of the cross-well water-passing multiple, and the minimum limit values of the oil saturation and the water injection efficiency;

and the first processing unit is used for carrying out normalization processing on the original permeability, the permeability variable quantity, the interwell water passing multiple, the oil saturation and the water injection efficiency according to the original permeability, the permeability variable quantity and the maximum limit value of the interwell water passing multiple and the minimum limit value of the oil saturation and the water injection efficiency respectively to obtain a normalized value of the original permeability, a normalized value of the permeability variable quantity, a normalized value of the interwell water passing multiple, a normalized value of the oil saturation and a normalized value of the water injection efficiency.

Optionally, the second processing module includes:

a second determination unit configured to determine a quintic root of a product between the normalized value of the original permeability, the normalized value of the permeability change amount, the normalized value of the interwell water crossing factor, the normalized value of the oil saturation, and the normalized value of the water flooding efficiency, and take the quintic root of the product as the comprehensive identification index;

optionally, the second processing module includes:

and the second processing unit is used for weighting the normalized value of the original permeability, the normalized value of the permeability variation, the normalized value of the inter-well water crossing multiple, the normalized value of the oil saturation and the normalized value of the water injection efficiency to obtain the comprehensive identification index.

Optionally, the second processing unit is specifically configured to:

The device further comprises:

and the fourth determining module is used for determining the grade of the dominant seepage channel existing in the target oil layer according to the size of the comprehensive identification index, wherein the grade of the dominant seepage channel is used for indicating the flow conductivity of the dominant seepage channel.

Optionally, the fourth determining module includes:

a third determining unit, configured to determine that the dominant seepage channel existing in the target oil layer is a dominant seepage channel of a first level when the comprehensive identification index is less than or equal to a second preset threshold, where the second preset threshold is greater than the first preset threshold;

a fourth determining unit, configured to determine that the dominant seepage passage existing in the target oil layer is a dominant seepage passage of a second level when the comprehensive identification index is greater than a second preset threshold and is less than or equal to a third preset threshold, where the third preset threshold is greater than the second preset threshold;

a fifth determining unit, configured to determine that the dominant seepage passage existing in the target oil reservoir is a dominant seepage passage of a third level when the comprehensive identification index is greater than the third preset threshold.

In a third aspect, a computer-readable storage medium is provided, in which a computer program is stored, which, when executed by a processor, implements any of the methods provided in the first aspect above.

The technical scheme provided by the embodiment of the invention has the following beneficial effects: according to the embodiment of the invention, the target permeability, the oil saturation and the target oil reservoir index parameters of the target oil layer in the oil reservoir are obtained, and the dominant seepage passage in the oil reservoir is determined when the dominant seepage passage in the target oil layer is determined according to the obtained parameters. The obtained parameter combination is divided into two types, wherein one type is the combination of the current permeability, the oil saturation and the water absorption ratio, and the other type is the combination of the original permeability, the oil saturation, the permeability variation, the inter-well water passing multiple of the target communicated well group and the water injection efficiency. That is, the embodiment of the invention can combine the dynamic and static production parameters of the oil reservoir, the original oil reservoir attributes and the current oil reservoir attributes, and determine whether the oil reservoir has the dominant seepage passage or not from the comprehensive evaluation of various influence factors of the dominant seepage passage, thereby improving the accuracy of determining the dominant seepage passage.

Drawings

In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings needed to be used in the description of the embodiments will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts.

Fig. 1 is a schematic flow chart of a method for determining a dominant seepage channel according to an embodiment of the present invention;

FIG. 2 is a schematic flow chart of another method for determining a preferential seepage flow path according to an embodiment of the present invention;

FIG. 3 is a schematic flow chart of another method for determining a dominant seepage flow channel according to an embodiment of the present invention;

fig. 4 is a schematic structural diagram of a dominant seepage passage determining apparatus provided by an embodiment of the present invention;

fig. 5 is a schematic structural diagram of a terminal 500 according to an embodiment of the present invention.

Detailed Description

In order to make the objects, technical solutions and advantages of the present invention more apparent, embodiments of the present invention will be described in detail with reference to the accompanying drawings.

Before explaining the embodiments of the present invention in detail, terms, application scenarios and system architectures related to the embodiments of the present invention are explained separately.

First, terms related to embodiments of the present invention will be described.

Initial permeability

The original permeability refers to the initial permeability of a target reservoir when the reservoir is not under production development, and the target reservoir refers to any reservoir included in the reservoir.

Current permeability

The current permeability refers to the permeability of a target oil layer at the current moment along with the continuous development of oil reservoir production.

Amount of change in permeability

The permeability change amount refers to a change amount of the current permeability of the target reservoir with respect to the original permeability.

Water absorption ratio

The water absorption ratio refers to the distribution ratio of the injected water in each oil layer in the oil reservoir, and the water absorption ratio of the target oil layer refers to the ratio between the amount of the injected water absorbed by the target oil layer and the total amount of the injected water.

Multiple of water passing between wells

The inter-well water-passing multiple is for any communicated well group in the oil deposit, the communicated well group comprises an injection well and a production well, and the inter-well water-passing multiple of the communicated well group refers to the ratio of the volume of the injected water accumulated between the injection well and the production well in the communicated well group to the swept pore volume.

Efficiency of water injection

Water injection efficiency refers to the ratio between the amount of oil produced contributed by the injected water and the amount of water injected.

Degree of saturation of oil

Oil saturation refers to the ratio of the volume of the pore space occupied by the crude oil of the target reservoir to the volume of the total pore space of the rock.

Next, an application scenario related to the embodiment of the present invention is described.

In the middle and later stages of oil field development, along with the long-term washing of injected water, the pore structure of a part of reservoir stratum in an oil reservoir is changed, the heterogeneity is enhanced, so that the permeability of the part of reservoir stratum is enlarged, the flow conductivity is enhanced, and a dominant seepage channel is formed, so that a large amount of water is subjected to ineffective circulation and inefficient circulation, the swept volume of the injected water is reduced, and the oil field development effect is influenced. Under the condition, the method for determining the dominant seepage passage can accurately and quickly determine whether the oil reservoir has dominant seepage permeability or not, and further provides decision parameters and guidance for oil field development. In addition, before the profile control measures and tertiary oil recovery are carried out on the oil field, the method provided by the invention can be applied to analyze the current dominant seepage channel distribution condition of the oil reservoir so as to carry out reasonable scheme design and scientific construction operation.

Finally, a system architecture according to an embodiment of the present invention is described.

The method for determining the advantageous seepage channel provided by the embodiment of the invention can be applied to a terminal, and the terminal has a data processing function. Specifically, the terminal may be a smart phone, a tablet computer, a notebook computer, a desktop computer, or other terminals capable of data processing.

Fig. 1 is a schematic flow chart of a method for determining a dominant seepage channel according to an embodiment of the present invention. Referring to fig. 1, the method comprises the steps of:

step 101: and acquiring target permeability, oil saturation and target oil reservoir index parameters of a target oil layer, wherein the target oil layer refers to any oil layer included in the oil reservoir to be researched.

The target permeability is the current permeability, the target oil reservoir index parameter is the water absorption ratio, or the target permeability is the original permeability, the target oil reservoir index parameter comprises a permeability variation, an interwell water passing multiple and a water injection efficiency of a target communication well group, the permeability variation is a difference between the current permeability and the original permeability, and the target communication well group is any communication well group located in a target oil layer;

step 102: and when determining that the target oil layer has a dominant seepage channel according to the target permeability, the oil saturation and the target oil reservoir index parameters, determining that the oil reservoir has a dominant seepage channel, wherein the dominant seepage channel is a seepage channel which has a strong abrupt change relationship with an adjacent seepage channel and is injected with water suddenly.

In the embodiment of the invention, the target permeability, the oil saturation and the target oil reservoir index parameters of any oil layer in the target oil reservoir are obtained, the production data of multiple parameters are utilized to determine that the target oil layer has the dominant seepage channel, and further the oil reservoir has the dominant seepage channel. That is, the embodiment of the invention can combine the dynamic and static production parameters of the oil reservoir, the original oil reservoir attributes and the current oil reservoir attributes to comprehensively evaluate a plurality of factors influencing the dominant seepage passage, determine whether the oil reservoir has the dominant seepage passage, and improve the accuracy of determining the dominant seepage passage.

Optionally, the target permeability is the current permeability, and the target oil reservoir index parameter is the water absorption ratio;

before determining that the oil deposit has the dominant seepage channel, the method further comprises the following steps:

and when the current permeability is greater than or equal to the preset permeability, the oil saturation is less than or equal to the preset oil saturation and the water absorption ratio is greater than or equal to the preset water absorption ratio, determining that the target oil layer has a dominant seepage channel.

Optionally, the target permeability is an original permeability, and the target reservoir index parameters include a permeability variation, an interwell water-passing multiple of the target interconnected well group and water injection efficiency;

respectively carrying out normalization processing on the original permeability, the permeability variation, the cross-well water passing multiple, the oil saturation and the water injection efficiency to obtain a normalization value of the original permeability, a normalization value of the permeability variation, a normalization value of the cross-well water passing multiple, a normalization value of the oil saturation and a normalization value of the water injection efficiency;

processing the normalized value of the original permeability, the normalized value of the permeability variation, the normalized value of the water passing multiple among wells, the normalized value of the oil saturation and the normalized value of the water injection efficiency according to a preset rule to obtain a comprehensive identification index;

and when the comprehensive identification index is larger than a first preset threshold value, determining that the target oil layer has a dominant seepage channel.

Optionally, respectively performing normalization processing on the original permeability, the permeability variation, the interwell water passing multiple, the oil saturation and the water injection efficiency to obtain a normalized value of the original permeability, a normalized value of the permeability variation, a normalized value of the interwell water passing multiple, a normalized value of the oil saturation and a normalized value of the water injection efficiency, and the normalization processing includes:

respectively determining the maximum limit values of the original permeability, the permeability variable quantity and the water passing multiple between wells, and the minimum limit values of the oil saturation and the water injection efficiency;

respectively carrying out normalization processing on the original permeability, the permeability variable quantity, the cross-well water-passing multiple, the oil saturation and the water injection efficiency according to the maximum limit value of the original permeability, the permeability variable quantity and the cross-well water-passing multiple and the minimum limit value of the oil saturation and the water injection efficiency to obtain a normalized value of the original permeability, a normalized value of the permeability variable quantity, a normalized value of the cross-well water-passing multiple, a normalized value of the oil saturation and a normalized value of the water injection efficiency.

Optionally, according to a preset rule, processing the normalized value of the original permeability, the normalized value of the permeability variation, the normalized value of the water passing multiple between wells, the normalized value of the oil saturation and the normalized value of the water injection efficiency to obtain a comprehensive identification index, including:

determining a quintic root of a product among a normalized value of the original permeability, a normalized value of the permeability variation, a normalized value of the cross-well water factor, a normalized value of the oil saturation and a normalized value of the water injection efficiency, and taking the quintic root of the product as a comprehensive identification index;

and weighting the normalized value of the original permeability, the normalized value of the permeability variation, the normalized value of the water passing multiple between wells, the normalized value of the oil saturation and the normalized value of the water injection efficiency to obtain a comprehensive identification index.

Optionally, the weighting processing is performed on the normalized value of the original permeability, the normalized value of the permeability variation, the normalized value of the water crossing multiple between wells, the normalized value of the oil saturation, and the normalized value of the water injection efficiency to obtain a comprehensive identification index, and the method includes:

weighting the absolute value of the R-th power of the product of any R normalized values, the absolute value of the S-th power of the product of any S normalized values and the T normalized values to obtain a comprehensive identification index;

Optionally, after determining that the dominant seepage channel exists in the target oil layer, the method further includes:

Optionally, determining the level of the dominant seepage channel existing in the target reservoir according to the magnitude of the comprehensive identification index includes:

when the comprehensive identification index is smaller than or equal to a second preset threshold value, determining that the dominant seepage channel existing in the target oil layer is a first-level dominant seepage channel, wherein the second preset threshold value is larger than the first preset threshold value;

when the comprehensive identification index is larger than a second preset threshold and is smaller than or equal to a third preset threshold, determining that the dominant seepage channel existing in the target oil layer is a second-level dominant seepage channel, wherein the third preset threshold is larger than the second preset threshold;

and when the comprehensive identification index is larger than a third preset threshold value, determining that the dominant seepage channel existing in the target oil layer is a third-level dominant seepage channel.

All the above optional technical solutions can be combined arbitrarily to form an optional embodiment of the present invention, which is not described in detail herein.

It should be noted that, in the embodiment of the present invention, the target permeability, the oil saturation and the target reservoir index parameter of the target oil layer in the oil reservoir may be obtained, and when it is determined that the dominant seepage passage exists in the target oil layer according to the obtained parameters, the dominant seepage passage exists in the oil reservoir. The obtained parameter combinations are divided into two types, the first parameter combination is the combination of the current permeability, the oil saturation and the water absorption ratio, and the second parameter combination is the combination of the original permeability, the oil saturation, the permeability variation, the inter-well water passing multiple of the target communicated well group and the water injection efficiency. And according to different obtained parameter combinations, different modes for determining that the target oil layer has the dominant seepage channel are provided. For convenience of explanation, the method for determining the dominant seepage passage provided by the embodiment of the present invention will be described in detail below by taking the first parameter as an example in the embodiment of fig. 2, and the method for determining the dominant seepage passage provided by the embodiment of the present invention will be described in detail below by taking the second parameter as an example in the embodiment of fig. 3.

Fig. 2 is a schematic flow chart of another advantageous seepage passage determination method provided by the embodiment of the invention. Referring to fig. 2, the method comprises the steps of:

step 201: and acquiring target permeability, oil saturation and target oil reservoir index parameters of a target oil layer, wherein the target oil layer refers to any oil layer included in the oil reservoir to be researched, the target permeability is the current permeability, and the target oil reservoir index parameters are water absorption ratios.

The reservoir to be researched is the reservoir which needs to determine whether the dominant seepage channel exists. Because the oil reservoir usually consists of a plurality of oil layers, in the embodiment of the invention, any oil layer included in the oil reservoir, namely a target oil layer, can be analyzed first, so as to determine whether the oil reservoir has dominant seepage according to the analysis result of the target oil layer, wherein the dominant seepage channel is a seepage channel which has a strong abrupt change relationship with an adjacent seepage channel and is injected with water suddenly.

In the embodiment of the invention, the 3 parameters of the current permeability, the oil saturation and the water absorption ratio of the target oil layer can be obtained firstly, so that whether the dominant seepage channel exists in the target oil layer or not can be determined according to the 3 parameters.

The current permeability refers to the permeability of a target oil layer at the current moment along with the continuous production and development of the oil reservoir. In practical application, the current permeability can be obtained by user input, can be obtained by sending from other equipment, and can also be obtained by analyzing other experimental data of the target oil layer. For example, a logging test may be performed on the target reservoir in the reservoir, and then the logging interpretation result may be subjected to data analysis to determine the current permeability.

Wherein, the oil saturation refers to the ratio of the volume of the pore space occupied by the crude oil of the target oil layer to the volume of the total pore space of the rock. In practical application, the oil saturation can be obtained by user input, can be obtained by sending from other equipment, and can also be obtained by analyzing other experimental data of the target oil layer. For example, a comparison result of the well logging interpretation curve and the standard layout can be obtained, and the oil saturation parameter can be determined according to the comparison result.

The water absorption ratio is a ratio between the amount of injected water absorbed by the target oil layer and the total amount of injected water. In practical application, the water absorption ratio can be obtained by user input, can be obtained by sending from other equipment, and can also be obtained by analyzing other experimental data of the target oil layer. For example, a water absorption profile test result of the oil reservoir may be obtained, a water absorption ratio of each oil layer in the oil reservoir may be determined according to the test result, and a water absorption ratio of the target oil layer may be determined from the water absorption ratios of each oil layer.

For convenience of illustration, the present embodiment may use the current permeability as K_tIndicating that the oil saturation is S_OThe water absorption ratio is represented by C.

Step 202: and when the current permeability is greater than or equal to the preset permeability, the oil saturation is less than or equal to the preset oil saturation and the water absorption ratio is greater than or equal to the preset water absorption ratio, determining that the target oil layer has a dominant seepage channel.

The preset permeability, the preset oil saturation and the preset water absorption proportion can be preset, and can be specifically set according to actual requirements of different oil reservoirs. For example, the preset permeability may be 1500mD, the preset oil saturation may be 30%, and the preset water absorption ratio may be 50%.

Assuming that the preset permeability is 1500mD, the preset oil saturation is 30% and the preset water absorption proportion is 50%, when the current permeability of the target oil layer is greater than or equal to the preset permeability 1500mD, the oil saturation is less than or equal to the preset oil saturation 30% and the water absorption proportion is greater than or equal to the preset water absorption proportion 50%, it can be determined that the target oil layer has a dominant seepage channel.

Taking an oil layer PI2 corresponding to a target N1 well, the preset permeability is 1500mD, the preset oil saturation is 30% and the preset water absorption proportion is 50% as an example, assuming that the current permeability of the oil layer PI2 is 1912mD, the oil saturation is 28.6% and the water absorption proportion of the oil layer is 52.3%, since the current permeability 1912mD is greater than 1500mD, the oil saturation is 28.6% less than 30% and the water absorption proportion of 52.3% is greater than 50%, it can be determined that the oil layer PI2 has a dominant seepage channel.

For example, table 1 shows the corresponding relationship between the target oil layer and the reservoir index parameter corresponding to different oil-water wells in a certain block of the oil field a in the reservoir. As shown in table 1, the block includes 9 oil-water wells with well numbers N2-N10, and the 9 oil-water wells correspond to different target oil layers, respectively, so that the current permeability, oil saturation, and water absorption ratio can be obtained from the target oil layers corresponding to the 9 oil-water wells, respectively, and if the preset permeability is 1500mD, the preset oil saturation is 30%, and the preset water absorption ratio is 50%, the determination result of whether each target oil layer has a dominant percolation channel can be shown in the last column of table 1 below.

TABLE 1

It should be noted that, in the embodiments of the present invention, only the reservoir index parameters of the target oil layers described in table 1 are described, but table 1 does not limit the reservoir index parameters of the target oil layers.

Step 203: and when the current permeability is smaller than the preset permeability, the oil saturation is larger than the preset oil saturation or the water absorption ratio is smaller than the preset water absorption ratio, determining that the target oil layer has no dominant seepage channel.

That is, when any one of the current permeability, the oil saturation and the water absorption ratio does not reach the corresponding preset threshold, it can be determined that the target oil layer has no dominant seepage channel.

Step 204: and when the dominant seepage channel exists in the target oil layer according to the target permeability, the oil saturation and the target oil reservoir index parameters, determining that the dominant seepage channel exists in the oil reservoir.

That is, when any oil layer in the oil reservoir has a dominant seepage passage, it can be determined that the oil reservoir has the dominant seepage passage.

Furthermore, each oil layer in the oil reservoir can be analyzed to determine whether each oil layer has the advantage seepage passage, and then the distribution condition of the advantage seepage passage in each oil layer of the oil reservoir is determined according to the analysis result.

According to the embodiment of the invention, the current permeability, the oil saturation and the water absorption ratio of the target oil layer in the oil reservoir are obtained, and the dominant seepage channel of the oil reservoir is determined when the dominant seepage channel of the target oil layer is determined according to the obtained parameters. That is, the embodiment of the invention can combine the dynamic and static production parameters of the oil reservoir, the original oil reservoir attributes and the current oil reservoir attributes, and determine whether the oil reservoir has the dominant seepage passage or not from the comprehensive evaluation of various influence factors of the dominant seepage passage, thereby improving the accuracy of determining the dominant seepage passage.

Fig. 3 is a schematic flow chart of another method for determining an advantageous percolation path according to an embodiment of the present invention. Referring to fig. 3, the method comprises the steps of:

step 301: the method comprises the steps of obtaining target permeability, oil saturation and target oil reservoir index parameters of a target oil layer, wherein the target oil layer refers to any oil layer included in an oil reservoir to be researched, the target permeability is original permeability, and the target oil reservoir index parameters comprise permeability variation, interwell water passing times and water injection efficiency of a target communication well group.

In the embodiment of the invention, 5 parameters of original permeability, oil saturation, permeability variable quantity, interwell water passing multiple of a target communication well group and water injection efficiency of a target oil layer can be obtained firstly, so that whether a dominant seepage channel exists in the target oil layer or not can be determined according to the 5 parameters

The original permeability refers to the permeability of a target oil layer at a corresponding time point when the dominant seepage passage starts to be determined, and the target oil layer refers to any oil layer included in the oil reservoir. In practical application, the original permeability can be obtained by user input, can be obtained by sending from other equipment, and can also be obtained by analyzing logging or other experimental data of a target oil layer. For example, the dominant seepage path may be determined from the original reservoir, the core may be removed from the target reservoir in the original reservoir, and the core may be experimentally analyzed in a laboratory to determine the original permeability.

Wherein, the oil saturation refers to the ratio of the volume of the pore space occupied by the crude oil of the target oil layer to the volume of the total pore space of the rock. In practical application, the oil saturation can be obtained by user input, can be obtained by sending from other equipment, and can also be obtained by analyzing logging or other experimental data of a target oil layer. For example, a comparison result of the well logging interpretation curve and the standard layout can be obtained, and the oil saturation parameter can be determined according to the comparison result.

Wherein, the permeability change amount refers to the change amount of the current permeability of the target reservoir relative to the original permeability. In practical application, the permeability variation can be obtained by user input, can be obtained by sending from other equipment, and can also be obtained by calculating the existing logging or other experimental data of the target oil layer. For example, after the original permeability and the current permeability are obtained, a difference between the current permeability and the original permeability is calculated, and the difference between the current permeability and the original permeability is determined as a permeability change amount.

The target communication well group is any communication well group positioned in a target oil layer, the target communication well group comprises an injection well and one or more corresponding extraction wells, the production layers of the injection well and the extraction wells comprise the same oil layer, and the production change of the extraction wells is influenced by the injection well. In practical application, the target communication well group information can be input by a user, can be sent by other equipment, and can also be obtained through tracer monitoring data. For example, tracer monitoring operations are performed on a group of oil and water wells, by injecting a tracer with a detectable tracer into an injection well, identifying a production well for which production of the same tracer is monitored as a communication well corresponding to the injection well, and identifying the injection well and the production well as a target communication well group.

The inter-well water-passing multiple refers to the ratio of the volume of injected water accumulated between an injection well and a produced well in the communicated well group to the swept pore volume. In practical application, the cross-well water-passing multiple can be obtained by user input, can be obtained by sending of other equipment, and can also be obtained by calculating production data of a target communication well. For example, the volume of the injected water accumulated and the swept pore volume between the injection well and the production well in the communicated well group can be obtained, and the water passing multiple between the wells can be determined by calculating the ratio of the volume of the injected water accumulated and the swept pore volume.

Wherein, the water injection efficiency refers to the ratio of the oil production contributed by the injected water to the water quantity of the injected water. In practical application, the water injection efficiency can be obtained by user input, can be obtained by sending of other equipment, and can also be obtained by calculating production data. For example, the oil production contributed by the injected water and the water volume of the injected water may be obtained, and the efficiency of the water injection may be determined by calculating the ratio of the oil production contributed by the injected water to the water volume of the injected water.

For convenience of illustration, the original permeability can be expressed as K in the examples of the present invention_oThe permeability change is expressed by delta K, the water injection efficiency is expressed by IE, and the interwell water passing multiple is expressed by Q_IPIndicating that the oil saturation is S_OAnd (4) showing.

Step 302: and respectively carrying out normalization processing on the original permeability, the permeability variation, the cross-well water passing multiple, the oil saturation and the water injection efficiency to obtain a normalization value of the original permeability, a normalization value of the permeability variation, a normalization value of the cross-well water passing multiple, a normalization value of the oil saturation and a normalization value of the water injection efficiency.

The normalization is a data simplification processing mode which can convert the original permeability with different dimensions, the permeability variable quantity, the water passing multiple among wells, the oil saturation and the water injection efficiency into values with relative values through change. The data processing mode can simplify the data capacity and improve the data comparison precision, and is an efficient, convenient and accurate comparison method for different dimension parameters.

Specifically, step 302 may be implemented by steps 3021-3022 as follows:

step 3021:and respectively determining the maximum limit values of the original permeability, the permeability variable quantity and the water passing multiple between wells, and the minimum limit values of the oil saturation and the water injection efficiency.

The original permeability, the permeability variation, the maximum limit value of the cross-well water-passing times and the minimum limit value of the oil saturation and the water injection efficiency can be obtained from the corresponding relationship of the prestored limit values or obtained by user input.

The corresponding relationship of the threshold values stores the maximum threshold values corresponding to the original permeability, the permeability variable quantity and the water passing multiple between wells respectively, and the minimum threshold values corresponding to the oil saturation and the water injection efficiency respectively. For example, the maximum limit value corresponding to the cross-well water passing multiple may be 12, the maximum limit value corresponding to the original permeability may be 3000mD, the maximum limit value corresponding to the permeability variation may be 1200mD, the minimum limit value corresponding to the water injection efficiency may be 0.1%, and the minimum limit value corresponding to the oil saturation may be 30%.

Step 3022:respectively carrying out normalization processing on the original permeability, the permeability variable quantity, the cross-well water-passing multiple, the oil saturation and the water injection efficiency according to the maximum limit value of the original permeability, the permeability variable quantity and the cross-well water-passing multiple and the minimum limit value of the oil saturation and the water injection efficiency to obtain a normalized value of the original permeability, a normalized value of the permeability variable quantity, a normalized value of the cross-well water-passing multiple, a normalized value of the oil saturation and a normalized value of the water injection efficiency.

Specifically, the original permeability may be normalized by using the following formula (1) according to the maximum limit value of the original permeability, so as to obtain a normalized value of the original permeability:

G_K＝K_o/K_{maximum limit value} (1)

Wherein G is_KNormalized to the original permeability, K_oTo the original permeability, K_{Maximum limit value}Is the maximum threshold value of the original permeability. For example, when K_{Maximum limit value}At 3000mD, G_K＝K_o/K_{Maximum limit value}＝K/3000。

Specifically, the permeability variation may be normalized by using the following formula (2) according to the maximum limit value of the permeability variation, so as to obtain a normalized value of the permeability variation:

G_ΔK＝ΔK/ΔK_{maximum limit value} (2)

Wherein G is_ΔKIs a normalized value of the permeability variation, Δ K is the permeability variation, Δ K_{Maximum limit value}Is the maximum limit value of the permeability change. For example, when Δ K_{Maximum limit value}At 1200mD, G_ΔK＝ΔK/ΔK_{Maximum limit value}＝ΔK/1200。

Specifically, the inter-well water passing multiple may be normalized by using the following formula (3) according to a maximum limit value of the inter-well water passing multiple, so as to obtain a normalized value of the inter-well water passing multiple:

G_QIP＝Q_IP/Q_{maximum limit of IP} (3)

Wherein G is_QIPIs a normalized value of the water passing multiple between wells, Q_IPIs the water passing multiple between wells, Q_{Maximum limit of IP}Is the maximum limit value of the water passing times between wells. For example, when Q_{Maximum limit of IP}At 12, G_QIP＝Q_IP/Q_{Maximum limit of IP}＝Q_IP/12。

Specifically, the normalization value of the oil saturation may be obtained by performing normalization processing on the oil saturation according to the following formula (4) according to the minimum limit value of the oil saturation:

G_SO＝(1-S_O)/(1-S_{minimum limit of O}) (4)

Wherein G is_SOIs a normalized value of oil saturation, S_OIs the oil saturation, S_{Minimum limit of O}Is the minimum limit value of the oil saturation. For example, when S_{Minimum limit of O}At 30%, G_SO＝(1-S_O)/(1-S_{Minimum limit of O})＝(1-S_O)/0.7。

Specifically, the water injection efficiency may be normalized by using the following formula (5) according to the minimum limit value of the water injection efficiency, so as to obtain a normalized value of the water injection efficiency:

G_IE＝(1-IE)/(1-IE_{minimum limit value}) (5)

Wherein G is_IEFor efficiency of water injectionNormalized value of, IE is water injection efficiency, IE_{Minimum limit value}Is the minimum limit value of the water injection efficiency. For example, when IE_{Minimum limit value}At 0.1%, G_IE＝(1-IE)/(1-IE_{Minimum limit value})＝(1-IE)/0.999。

It should be noted that, in the embodiment of the present invention, the normalized values of the original permeability, the permeability variation, the inter-well water-passing multiple, the oil saturation, and the water injection efficiency may also be determined by other normalization methods, which is not limited in the embodiment of the present invention

Step 303: and processing the normalized value of the original permeability, the normalized value of the permeability variation, the normalized value of the water passing multiple among wells, the normalized value of the oil saturation and the normalized value of the water injection efficiency according to a preset rule to obtain a comprehensive identification index.

The comprehensive identification index is the comprehensive identification index of the dominant seepage channel and is used for comprehensively evaluating five parameters including a normalized value of original permeability, a normalized value of permeability variation, a normalized value of water passing multiple among wells, a normalized value of oil saturation and a normalized value of water injection efficiency to determine whether the dominant seepage channel exists in a target oil layer. The larger the comprehensive identification index is, the higher the possibility that the target oil layer has the dominant seepage channel is.

Specifically, step 303 can be implemented in two ways:

the first implementation mode comprises the following steps:and determining a quintic root of a product among the normalized value of the original permeability, the normalized value of the permeability variation, the normalized value of the cross-well water factor, the normalized value of the oil saturation and the normalized value of the water injection efficiency, and taking the quintic root of the product as a comprehensive identification index.

Specifically, in the first implementation, the following formula (6) may be used to determine the comprehensive identification index:

GRI＝(G_QIP×G_K×G_△K×G_IE×G_SO)^1/5 (6)

wherein GRI is the comprehensive identification index, G_QIPFor multiple water passing between wellsNormalized value, G_KNormalized value of original permeability, G_△KNormalized value, G, for the amount of change in permeability_IENormalized value, G, for waterflooding efficiency_SONormalized to the oil saturation.

The second implementation mode comprises the following steps:and weighting the normalized value of the original permeability, the normalized value of the permeability variation, the normalized value of the water passing multiple between wells, the normalized value of the oil saturation and the normalized value of the water injection efficiency to obtain a comprehensive identification index.

Specifically, the absolute value of the R-th power of the product of any R normalized values, the absolute value of the S-th power of the product of any S normalized values, and the T normalized values may be weighted according to the weight of the R-th power of the product of any R normalized values in the normalized value of the original permeability, the normalized value of the permeability change amount, the normalized value of the cross-well water crossing multiple, the normalized value of the oil saturation, and the normalized value of the water flooding efficiency, the weight of the S-th power of the product of any S normalized values except for any R normalized values, and the weight of the T normalized values except for any R and any S normalized values, so as to obtain the comprehensive identification index.

Wherein R and S are each an integer of 0 or more and less than 5, T is an integer of 0 or more and less than or equal to 5, and the sum of R, S and T is equal to 5. For example, R is equal to 0, S is equal to 0 and T is equal to 5, or R is equal to 0, S is equal to 2 and T is equal to 3, or R is equal to 0, S is equal to 3 and T is equal to 2, or R is equal to 0, S is equal to 4 and T is equal to 1, or R is equal to 2, S is equal to 2 and T is equal to 1, or R is equal to 2, S is equal to 3 and T is equal to 0, or R is equal to 4, S is equal to 0 and T is equal to 1.

1) When R is equal to 0, S is equal to 0, and T is equal to 5, the comprehensive recognition index may be determined using the following equation (7):

GRI＝G_QIP×α₁+G_K×α₂+G_△K×α₃+G_IE×α₄+G_SO×α₅ (7)

wherein alpha is₁-α₅Are each G_QIP、G_K、G_△K、G_IEAnd G_SOCorresponding weight, and α₁+α₂+α₃+α₄+α₅＝1。

Wherein alpha is₁-α₅The setting can be preset, and specifically can be set by a technician according to experience, or set by a terminal default. E.g. alpha₁-α₅Can be set to 0.55, 0.15, 0.075, 0.15, respectively.

At alpha₁-α₅Taking 0.55, 0.15, 0.075, and 0.15 as examples, the above formula (7) can determine that the GRI is 0.55G_QIP+0.15G_K+0.075G_△K+0.075G_IE+0.15G_SO。

2) When R is equal to 0, S is equal to 2, and T is equal to 3, the comprehensive recognition index may be determined using the following equation (8):

GRI＝G_QIP×α₆+G_K×α₇+G_△K×α₈+(G_IE×G_SO)^1/2×α₉ (8)

wherein alpha is₆-α₉Are each G_QIP、G_K、G_△KAnd (G)_IE×G_SO)^1/2Corresponding weight, and α₆+α₇+α₈+α₉＝1。

Wherein alpha is₆-α₉The setting can be preset, and specifically can be set by a technician according to experience, or set by a terminal default. E.g. alpha₆-α₉May be set to 0.5, 0.1, 0.3, respectively.

At alpha₆-α₉Taking 0.5, 0.1, and 0.3 as examples, the above formula (8) can determine that the GRI is 0.5G_QIP+0.1G_K+0.1G_△K+0.3(G_IE×G_SO)^1/2。

3) When R is equal to 0, S is equal to 2, and T is equal to 3, the comprehensive recognition index may be determined using the following equation (9):

GRI＝G_QIP×α₁₀+G_IE×α₁₁+G_SO×α₁₂+(G_K×G_△K)^1/2×α₁₃ (9)

wherein alpha is₁₀-α₁₃Are each G_QIP、G_IE、G_SOAnd (G)_K×G_△K)^1/2Corresponding weight, and α₁₀+α₁₁+α₁₂+α₁₃＝1。

Wherein alpha is₁₀-α₁₃The setting can be preset, and specifically can be set by a technician according to experience, or set by a terminal default. E.g. alpha₁₀-α₁₃May be set to 0.55, 0.15, respectively.

At alpha₁₀-α₁₃Taking 0.55, 0.15, and 0.15 as examples, the GRI can be determined to be 0.55G by the above formula (9)_QIP+0.15G_IE+0.15G_SO+0.15(G_K×G_△K)^1/2。

4) When R is equal to 0, S is equal to 2, and T is equal to 3, the comprehensive recognition index may be determined using the following equation (10):

GRI＝G_K×α₁₄+G_△K×α₁₅+(G_QIP×G_IE×G_SO)^1/3×α₁₆ (10)

wherein alpha is₁₄-α₁₆Are each G_QIP、G_KAnd (G)_△K×G_IE×G_SO)^1/3Corresponding weight, and α₁₄+α₁₅+α₁₆＝1。

Wherein alpha is₁₄-α₁₆The setting can be preset, and specifically can be set by a technician according to experience, or set by a terminal default. For example, assume α₁₄-α₁₆May be set to 0.15, 0.25, 0.6, respectively.

At alpha₁₄-α₁₆For example, 0.15, 0.25, and 0.6, respectively, the above formula (10) can determine that the GRI is 0.15G_K+0.25G_△K+0.6(G_QIP×G_IE×G_SO)^1/3。

5) When R is equal to 2, S is equal to 3, and T is equal to 0, the comprehensive recognition index may be determined using the following equation (11):

GRI＝(G_K×G_SO)^1/2×α₁₇+(G_QIP×G_IE×G_△K)^1/3×α₁₈ (11)

wherein alpha is₁₇And alpha₁₈Are respectively (G)_K×G_SO)^1/2And (G)_QIP×G_IE×G_△K)^1/3Corresponding weight, and α₁₇+α₁₈＝1。

Wherein alpha is₁₇And alpha₁₈The setting can be preset, and specifically can be set by a technician according to experience, or set by a terminal default. For example, assume α₁₇And alpha₁₈May be set to 0.9, 0.1, respectively.

At alpha₁₇And alpha₁₈May be 0.9 and 0.1, respectively, and the above formula (11) may determine that the GRI is GRI ═ 0.9 (G)_K×G_SO)^1/2+0.1(G_QIP×G_IE×G_△K)^1/3。

For example, table 2 shows the reservoir index parameters of different oil layers corresponding to the connected well group 1 and the connected well group 2 in a certain block of the a oil field. The communication well group 1 comprises an injection well A and a production well B, the communication well group 2 comprises an injection well A and a production well C, and the oil deposit index parameters comprise inter-well water passing times, original permeability, permeability variation, water injection efficiency and oil saturation.

TABLE 2

Table 3 is a comprehensive identification index obtained by processing the reservoir index parameters of the oil layer corresponding to each communication well in table 2 by using the above equations (6) - (11), respectively. Wherein GRI in column 3₁Is the composite recognition index calculated by the above formula (6), GRI in column 4₂Is the composite recognition index calculated by the above formula (7), GRI in column 5₃Is prepared by the above disclosureThe composite recognition index calculated by equation (8), GRI in column 6₄Is a GRI in column 7, which is a comprehensive recognition index calculated by the above formula (9)₅Is the composite recognition index calculated by the above equation (10), GRI in column 8₆Is the integrated recognition index calculated by the above formula (11).

TABLE 3

It should be noted that, in the examples of the present invention, only the reservoir index parameters of the target oil layers described in tables 2 and 3 are described, but tables 2 and 3 do not limit the reservoir index parameters of the target oil layers.

It should be further noted that, in the embodiment of the present invention, normalization processing is performed on the original permeability, the permeability variation, the inter-well water-passing multiple, the oil saturation and the water injection efficiency according to the maximum limit value of the original permeability, the permeability variation and the inter-well water-passing multiple, and the minimum limit value of the oil saturation and the water injection efficiency, respectively.

Step 304: and when the comprehensive identification index is larger than a first preset threshold value, determining that the target oil layer has a dominant seepage channel.

The first preset threshold may be preset, specifically may be set by a technician according to actual conditions of different oil reservoirs, or may be set by a terminal default, which is not limited in the embodiment of the present invention. For example, the first preset threshold may be 0.2.

Further, when the comprehensive identification index is smaller than or equal to the first preset threshold value, it can be determined that no dominant seepage channel exists in the target oil layer or a non-dominant seepage channel exists in the target oil layer.

Further, after the dominant seepage passage in the target oil layer is determined, the level of the dominant seepage passage in the target oil layer can be determined according to the magnitude of the comprehensive identification index, and the level of the dominant seepage passage is used for indicating the flow conductivity and the development condition of the dominant seepage passage.

Specifically, determining the level of the dominant seepage channel existing in the target oil reservoir according to the magnitude of the comprehensive identification index includes: when the comprehensive identification index is smaller than or equal to a second preset threshold value, determining that the dominant seepage channel existing in the target oil layer is a first-level dominant seepage channel, wherein the second preset threshold value is larger than the first preset threshold value; when the comprehensive identification index is larger than a second preset threshold and is smaller than or equal to a third preset threshold, determining that the dominant seepage channel existing in the target oil layer is a second-level dominant seepage channel, wherein the third preset threshold is larger than the second preset threshold; and when the comprehensive identification index is larger than a third preset threshold value, determining that the dominant seepage channel existing in the target oil layer is a third-level dominant seepage channel.

Further, when the comprehensive identification index is smaller than or equal to the first preset threshold, it may also be determined that a non-dominant seepage passage exists in the target oil reservoir, for example, it is determined that a 0-level non-dominant seepage passage exists in the target oil reservoir.

The first preset threshold, the second preset threshold and the third preset threshold can be set by technicians according to different oil reservoir actual conditions, and can also be set by terminal defaults. For example, the technician may set the first preset threshold to 0.2, the second preset threshold to 0.3, and the third preset threshold to 0.4, depending on the actual condition of the reservoir. Of course, the first preset threshold, the second preset threshold, and the third preset threshold may also be set as other thresholds, which is not limited in the embodiment of the present invention.

In one embodiment, the 0-stage non-dominant percolation channel may be referred to as an iv-stage non-dominant percolation channel, the first-stage dominant percolation channel may be referred to as a iii-stage weakly-dominant percolation channel, the second-stage dominant percolation channel may be referred to as a II-stage dominant percolation channel, and the third-stage dominant percolation channel may be referred to as a I-stage strongly-dominant percolation channel.

For example, taking a first preset threshold of 0.2, a second preset threshold of 0.3, and a third preset threshold of 0.4 as an example, when the comprehensive identification index is less than or equal to the first preset threshold of 0.2, the target oil layer has an iv-level non-dominant seepage channel; when the comprehensive identification index is greater than a first preset threshold value 0.2 and less than or equal to a second preset threshold value 0.3, the weak dominant seepage channel is a III-level weak dominant seepage channel; when the comprehensive identification index is greater than a second preset threshold value 0.3 and less than or equal to a third preset threshold value 0.4, the comprehensive identification index is a dominant seepage channel in the II level; and when the comprehensive identification index is greater than a third preset threshold value of 0.4, the seepage channel is an I-level strong dominant seepage channel.

For example, table 4 shows the correspondence between the comprehensive identification index of different oil layers corresponding to the connected well group 1 and the connected well group 2 in a certain block of the a oil field and the dominant seepage channel level. Wherein, the 3 rd column is the actual measurement channel type measured by the communicating well group by using tracer monitoring technology, and the 4 th to 9 th columns are the dominant seepage channel levels corresponding to the comprehensive identification indexes respectively obtained by calculation through the formulas (6) to (11).

TABLE 4

As can be seen from table 4, the recognition accuracy of the dominant percolation channel level corresponding to the comprehensive recognition index calculated by the formulas (6) to (11) is greater than 80%, and the recognition accuracy is high, so that the recognition accuracy of the method for determining the dominant percolation channel provided by the embodiment of the present invention is also high.

Step 305: and when the dominant seepage channel exists in the target oil layer according to the target permeability, the oil saturation and the target oil reservoir index parameters, determining that the dominant seepage channel exists in the oil reservoir.

Specifically, because the oil reservoir contains any oil layer, when the target oil layer is determined to have the dominant seepage passage, the oil reservoir can be determined to have the dominant seepage passage. For example, for a communication well group 1 and a communication well group 2 in a certain block of an oil field a, since the oil layers corresponding to the communication well group 1 and the communication well group 2 both have a dominant seepage channel, it can be determined that the oil reservoir has a dominant seepage channel.

According to the embodiment of the invention, the target permeability, the oil saturation and the target oil reservoir index parameters of the target oil layer in the oil reservoir are obtained, and the dominant seepage passage in the oil reservoir is determined when the dominant seepage passage in the target oil layer is determined according to the obtained parameters. The obtained parameter combination is divided into two types, wherein one type is the combination of the current permeability, the oil saturation and the water absorption ratio, and the other type is the combination of the original permeability, the oil saturation, the permeability variation, the inter-well water passing multiple of the target communicated well group and the water injection efficiency. That is, the embodiment of the invention can combine the dynamic and static production parameters of the oil reservoir, the original oil reservoir attributes and the current oil reservoir attributes, and determine whether the oil reservoir has the dominant seepage passage or not from the comprehensive evaluation of various influence factors of the dominant seepage passage, thereby improving the accuracy of determining the dominant seepage passage.

Fig. 4 is a schematic structural diagram of a device for determining a dominant seepage passage according to an embodiment of the present invention. Referring to fig. 4, the apparatus may include:

an obtaining module 401, configured to obtain a target permeability, an oil saturation, and a target reservoir index parameter of a target oil layer, where the target oil layer is any oil layer included in a reservoir to be researched;

the target permeability is the current permeability, the target oil reservoir index parameter is the water absorption ratio, or the target permeability is the original permeability, the target oil reservoir index parameter comprises a permeability variation, an interwell water passing multiple and a water injection efficiency of a target communication well group, the permeability variation is a difference between the current permeability and the original permeability, and the target communication well group is any communication well located in a target oil layer;

the first determining module 402 is configured to determine that a dominant seepage channel exists in the oil reservoir when it is determined that a dominant seepage channel exists in the target oil layer according to the target permeability, the oil saturation and the target oil reservoir index parameter, where the dominant seepage channel is a seepage channel that has a strong abrupt relationship with an adjacent seepage channel and is injected with water suddenly.

the device also includes:

and the second determination module is used for determining that the dominant seepage channel exists in the target oil layer when the current permeability is greater than or equal to the preset permeability, the oil saturation is less than or equal to the preset oil saturation and the water absorption ratio is greater than or equal to the preset water absorption ratio.

the device also includes:

the second processing module is used for processing the normalized value of the original permeability, the normalized value of the permeability variation, the normalized value of the water passing multiple between wells, the normalized value of the oil saturation and the normalized value of the water injection efficiency according to a preset rule to obtain a comprehensive identification index;

and the third determining module is used for determining that the dominant seepage channel exists in the target oil layer when the comprehensive identification index is greater than the first preset threshold value.

Optionally, the first processing module comprises:

the first determining unit is used for respectively determining the maximum limit values of the original permeability, the permeability variation and the water passing multiple among wells, and the minimum limit values of the oil saturation and the water injection efficiency;

the first processing unit is used for normalizing the original permeability, the permeability variation, the cross-well water passing multiple, the oil saturation and the water injection efficiency according to the maximum limit values of the original permeability, the permeability variation and the cross-well water passing multiple and the minimum limit values of the oil saturation and the water injection efficiency respectively to obtain a normalized value of the original permeability, a normalized value of the permeability variation, a normalized value of the cross-well water passing multiple, a normalized value of the oil saturation and a normalized value of the water injection efficiency.

Optionally, the second processing module comprises:

and the second determination unit is used for determining a quintic root of a product among the normalized value of the original permeability, the normalized value of the permeability variation, the normalized value of the cross-well water factor, the normalized value of the oil saturation and the normalized value of the water injection efficiency, and taking the quintic root of the product as a comprehensive identification index.

Optionally, the second processing module comprises:

and the second processing unit is used for weighting the normalized value of the original permeability, the normalized value of the permeability variation, the normalized value of the water passing multiple among wells, the normalized value of the oil saturation and the normalized value of the water injection efficiency to obtain a comprehensive identification index.

Optionally, the second processing unit is specifically configured to:

Optionally, the apparatus further comprises:

and the fourth determination module is used for determining the grade of the dominant seepage channel existing in the target oil layer according to the size of the comprehensive identification index, wherein the grade of the dominant seepage channel is used for indicating the flow conductivity of the dominant seepage channel.

Optionally, the fourth determining module includes:

the third determining unit is used for determining that the dominant seepage channel existing in the target oil layer is the dominant seepage channel of the first level when the comprehensive identification index is smaller than or equal to a second preset threshold value, and the second preset threshold value is larger than the first preset threshold value;

the fourth determining unit is used for determining that the dominant seepage channel existing in the target oil layer is a second-level dominant seepage channel when the comprehensive identification index is larger than the second preset threshold and is smaller than or equal to a third preset threshold, and the third preset threshold is larger than the second preset threshold;

and the fifth determining unit is used for determining that the dominant seepage channel existing in the target oil layer is the dominant seepage channel of the third level when the comprehensive identification index is greater than the third preset threshold value.

According to the method, the target permeability, the oil saturation and the target oil reservoir index parameters of the target oil layer are obtained, and when the dominant seepage channel exists in the target oil layer, the dominant seepage channel exists in the oil reservoir. The parameter combination is divided into two cases, one is the combination that the target permeability is the current permeability, the oil saturation and the target oil reservoir index parameter is the water absorption ratio, and the other is the combination that the target permeability is the original permeability, the oil saturation, the target oil reservoir index parameter is the permeability change, the inter-well water-passing multiple of the target interconnected well group and the water injection efficiency. Therefore, in order to determine the distribution rule of the dominant seepage channels of the reservoir to be researched, the target permeability, the oil saturation and the target reservoir index parameters of the target oil layer of the reservoir can be obtained in advance, the dominant seepage channels of the target oil layer can be comprehensively analyzed and determined according to the obtained parameters, and further the distribution condition of the dominant seepage channels of the reservoir to be researched can be determined. And because the acquired parameters are the production dynamic parameters of the oil reservoir to be researched, the production system of the extraction well distributed on the oil reservoir is not influenced, the adjustment times and measure investment on the production system are reduced, the development cost of the oil field is reduced, and the corresponding production time is saved.

It should be noted that: in the device for determining a preferential seepage passage provided in the above embodiment, when determining a preferential seepage passage, only the division of the above functional modules is used for illustration, and in practical applications, the above function distribution may be completed by different functional modules according to needs, that is, the internal structure of the device is divided into different functional modules, so as to complete all or part of the above described functions. In addition, the embodiment of the method for determining a preferential seepage passage and the embodiment of the method for determining a preferential seepage passage provided by the above embodiment belong to the same concept, and the specific implementation process is described in detail in the embodiment of the method and will not be described herein again.

Fig. 5 is a schematic structural diagram of a terminal 500 according to an embodiment of the present invention. The terminal 500 may be: a smart phone, a tablet computer, an MP3 player (Moving Picture Experts Group Audio Layer III, motion video Experts compression standard Audio Layer 3), an MP4 player (Moving Picture Experts Group Audio Layer IV, motion video Experts compression standard Audio Layer 4), a notebook computer, or a desktop computer. Terminal 500 may also be referred to by other names such as user equipment, portable terminal, laptop terminal, desktop terminal, and the like.

In general, the terminal 500 includes: a processor 501 and a memory 502.

The processor 501 may include one or more processing cores, such as a 4-core processor, an 8-core processor, and so on. The processor 501 may be implemented in at least one hardware form of a DSP (Digital Signal Processing), an FPGA (Field-Programmable Gate Array), and a PLA (Programmable Logic Array). The processor 501 may also include a main processor and a coprocessor, where the main processor is a processor for Processing data in an awake state, and is also called a Central Processing Unit (CPU); a coprocessor is a low power processor for processing data in a standby state. In some embodiments, the processor 501 may be integrated with a GPU (Graphics Processing Unit), which is responsible for rendering and drawing the content required to be displayed on the display screen. In some embodiments, processor 501 may also include an AI (Artificial Intelligence) processor for processing computational operations related to machine learning.

Memory 502 may include one or more computer-readable storage media, which may be non-transitory. Memory 502 may also include high-speed random access memory, as well as non-volatile memory, such as one or more magnetic disk storage devices, flash memory storage devices. In some embodiments, a non-transitory computer readable storage medium in memory 502 is used to store at least one instruction for execution by processor 501 to implement the dominant percolation channel determination methods provided by method embodiments herein.

In some embodiments, the terminal 500 may further optionally include: a peripheral interface 503 and at least one peripheral. The processor 501, memory 502 and peripheral interface 503 may be connected by a bus or signal lines. Each peripheral may be connected to the peripheral interface 503 by a bus, signal line, or circuit board. Specifically, the peripheral device includes: at least one of radio frequency circuitry 504, touch screen display 505, camera 506, audio circuitry 507, positioning components 508, and power supply 509.

The peripheral interface 503 may be used to connect at least one peripheral related to I/O (Input/Output) to the processor 501 and the memory 502. In some embodiments, the processor 501, memory 502, and peripheral interface 503 are integrated on the same chip or circuit board; in some other embodiments, any one or two of the processor 501, the memory 502, and the peripheral interface 503 may be implemented on a separate chip or circuit board, which is not limited in this embodiment.

The Radio Frequency circuit 504 is used for receiving and transmitting RF (Radio Frequency) signals, also called electromagnetic signals. The radio frequency circuitry 504 communicates with communication networks and other communication devices via electromagnetic signals. The rf circuit 504 converts an electrical signal into an electromagnetic signal to transmit, or converts a received electromagnetic signal into an electrical signal. Optionally, the radio frequency circuit 504 includes: an antenna system, an RF transceiver, one or more amplifiers, a tuner, an oscillator, a digital signal processor, a codec chipset, a subscriber identity module card, and so forth. The radio frequency circuitry 504 may communicate with other terminals via at least one wireless communication protocol. The wireless communication protocols include, but are not limited to: metropolitan area networks, various generation mobile communication networks (2G, 3G, 4G, and 5G), Wireless local area networks, and/or WiFi (Wireless Fidelity) networks. In some embodiments, the rf circuit 504 may further include NFC (Near Field Communication) related circuits, which are not limited in this application.

The display screen 505 is used to display a UI (User Interface). The UI may include graphics, text, icons, video, and any combination thereof. When the display screen 505 is a touch display screen, the display screen 505 also has the ability to capture touch signals on or over the surface of the display screen 505. The touch signal may be input to the processor 501 as a control signal for processing. At this point, the display screen 505 may also be used to provide virtual buttons and/or a virtual keyboard, also referred to as soft buttons and/or a soft keyboard. In some embodiments, the display screen 505 may be one, providing the front panel of the terminal 500; in other embodiments, the display screens 505 may be at least two, respectively disposed on different surfaces of the terminal 500 or in a folded design; in still other embodiments, the display 505 may be a flexible display disposed on a curved surface or on a folded surface of the terminal 500. Even more, the display screen 505 can be arranged in a non-rectangular irregular figure, i.e. a shaped screen. The Display screen 505 may be made of LCD (Liquid Crystal Display), OLED (Organic Light-Emitting Diode), and other materials.

The camera assembly 506 is used to capture images or video. Optionally, camera assembly 506 includes a front camera and a rear camera. Generally, a front camera is disposed at a front panel of the terminal, and a rear camera is disposed at a rear surface of the terminal. In some embodiments, the number of the rear cameras is at least two, and each rear camera is any one of a main camera, a depth-of-field camera, a wide-angle camera and a telephoto camera, so that the main camera and the depth-of-field camera are fused to realize a background blurring function, and the main camera and the wide-angle camera are fused to realize panoramic shooting and VR (Virtual Reality) shooting functions or other fusion shooting functions. In some embodiments, camera assembly 506 may also include a flash. The flash lamp can be a monochrome temperature flash lamp or a bicolor temperature flash lamp. The double-color-temperature flash lamp is a combination of a warm-light flash lamp and a cold-light flash lamp, and can be used for light compensation at different color temperatures.

Audio circuitry 507 may include a microphone and a speaker. The microphone is used for collecting sound waves of a user and the environment, converting the sound waves into electric signals, and inputting the electric signals to the processor 501 for processing, or inputting the electric signals to the radio frequency circuit 504 to realize voice communication. For the purpose of stereo sound collection or noise reduction, a plurality of microphones may be provided at different portions of the terminal 500. The microphone may also be an array microphone or an omni-directional pick-up microphone. The speaker is used to convert electrical signals from the processor 501 or the radio frequency circuit 504 into sound waves. The loudspeaker can be a traditional film loudspeaker or a piezoelectric ceramic loudspeaker. When the speaker is a piezoelectric ceramic speaker, the speaker can be used for purposes such as converting an electric signal into a sound wave audible to a human being, or converting an electric signal into a sound wave inaudible to a human being to measure a distance. In some embodiments, audio circuitry 507 may also include a headphone jack.

The positioning component 508 is used for positioning the current geographic Location of the terminal 500 for navigation or LBS (Location Based Service). The Positioning component 508 may be a Positioning component based on the united states GPS (Global Positioning System), the chinese beidou System, the russian graves System, or the european union's galileo System.

Power supply 509 is used to power the various components in terminal 500. The power source 509 may be alternating current, direct current, disposable or rechargeable. When power supply 509 includes a rechargeable battery, the rechargeable battery may support wired or wireless charging. The rechargeable battery may also be used to support fast charge technology.

In some embodiments, terminal 500 also includes one or more sensors 510. The one or more sensors 510 include, but are not limited to: acceleration sensor 511, gyro sensor 512, pressure sensor 513, fingerprint sensor 514, optical sensor 515, and proximity sensor 516.

The acceleration sensor 511 may detect the magnitude of acceleration on three coordinate axes of the coordinate system established with the terminal 500. For example, the acceleration sensor 511 may be used to detect components of the gravitational acceleration in three coordinate axes. The processor 501 may control the touch screen 505 to display the user interface in a landscape view or a portrait view according to the gravitational acceleration signal collected by the acceleration sensor 511. The acceleration sensor 511 may also be used for acquisition of motion data of a game or a user.

The gyro sensor 512 may detect a body direction and a rotation angle of the terminal 500, and the gyro sensor 512 may cooperate with the acceleration sensor 511 to acquire a 3D motion of the user on the terminal 500. The processor 501 may implement the following functions according to the data collected by the gyro sensor 512: motion sensing (such as changing the UI according to a user's tilting operation), image stabilization at the time of photographing, game control, and inertial navigation.

The pressure sensor 513 may be disposed on a side bezel of the terminal 500 and/or an underlying layer of the touch display screen 505. When the pressure sensor 513 is disposed on the side frame of the terminal 500, a user's holding signal of the terminal 500 may be detected, and the processor 501 performs left-right hand recognition or shortcut operation according to the holding signal collected by the pressure sensor 513. When the pressure sensor 513 is disposed at the lower layer of the touch display screen 505, the processor 501 controls the operability control on the UI interface according to the pressure operation of the user on the touch display screen 505. The operability control comprises at least one of a button control, a scroll bar control, an icon control and a menu control.

The fingerprint sensor 514 is used for collecting a fingerprint of the user, and the processor 501 identifies the identity of the user according to the fingerprint collected by the fingerprint sensor 514, or the fingerprint sensor 514 identifies the identity of the user according to the collected fingerprint. Upon recognizing that the user's identity is a trusted identity, the processor 501 authorizes the user to perform relevant sensitive operations including unlocking the screen, viewing encrypted information, downloading software, paying, and changing settings, etc. The fingerprint sensor 514 may be provided on the front, back, or side of the terminal 500. When a physical button or a vendor Logo is provided on the terminal 500, the fingerprint sensor 514 may be integrated with the physical button or the vendor Logo.

The optical sensor 515 is used to collect the ambient light intensity. In one embodiment, the processor 501 may control the display brightness of the touch display screen 505 based on the ambient light intensity collected by the optical sensor 515. Specifically, when the ambient light intensity is high, the display brightness of the touch display screen 505 is increased; when the ambient light intensity is low, the display brightness of the touch display screen 505 is turned down. In another embodiment, processor 501 may also dynamically adjust the shooting parameters of camera head assembly 506 based on the ambient light intensity collected by optical sensor 515.

A proximity sensor 516, also referred to as a distance sensor, is typically disposed on the front panel of the terminal 500. The proximity sensor 516 is used to collect the distance between the user and the front surface of the terminal 500. In one embodiment, when the proximity sensor 516 detects that the distance between the user and the front surface of the terminal 500 gradually decreases, the processor 501 controls the touch display screen 505 to switch from the bright screen state to the dark screen state; when the proximity sensor 516 detects that the distance between the user and the front surface of the terminal 500 becomes gradually larger, the processor 501 controls the touch display screen 505 to switch from the screen-rest state to the screen-on state.

That is, not only is the embodiment of the present invention provide a terminal including a processor and a memory for storing executable instructions of the processor, wherein the processor is configured to execute the method in the embodiment shown in fig. 1, fig. 2 or fig. 3, but also the embodiment of the present invention provides a computer-readable storage medium, which stores therein a computer program, which when executed by the processor can implement the dominant bleed flow channel determination method in the embodiment shown in fig. 1, fig. 2 or fig. 3.

Those skilled in the art will appreciate that the configuration shown in fig. 5 is not intended to be limiting of terminal 500 and may include more or fewer components than those shown, or some components may be combined, or a different arrangement of components may be used.

It will be understood by those skilled in the art that all or part of the steps for implementing the above embodiments may be implemented by hardware, or may be implemented by a program instructing relevant hardware, where the program may be stored in a computer-readable storage medium, and the above-mentioned storage medium may be a read-only memory, a magnetic disk or an optical disk, etc.

The above description is only for the purpose of illustrating the preferred embodiments of the present invention and is not to be construed as limiting the invention, and any modifications, equivalents, improvements and the like that fall within the spirit and principle of the present invention are intended to be included therein.

Claims

1. A method for determining a dominant seepage flow pathway, the method comprising:

wherein the oil saturation refers to the ratio of the volume of the pore space occupied by the crude oil of the target oil layer to the volume of the total pore space of the rock;

the target permeability is the current permeability, the target oil reservoir index parameter is a water absorption ratio, and the water absorption ratio is a ratio between the amount of injected water absorbed by the target oil layer and the total amount of the injected water; or the target permeability is an original permeability, and the target reservoir index parameters include a permeability variation, an inter-well water-passing multiple of a target interconnected well group and a water injection efficiency, the original permeability refers to an initial permeability of the target oil layer when the oil reservoir is not under production development, the permeability variation refers to a difference between the current permeability and the original permeability, the target interconnected well group refers to any interconnected well group located in the target oil layer, the inter-well water-passing multiple of the target interconnected well group refers to a ratio of a volume accumulated between an injection well and a production well in the target interconnected well group and passing through the injection water to a pore volume, and the water injection efficiency refers to a ratio of an oil production amount contributed by the injection water to a water amount of the injection water;

when determining that a dominant seepage channel exists in the target oil layer according to the target permeability, the oil saturation and the target oil reservoir index parameter, determining that the dominant seepage channel exists in the oil reservoir, wherein the dominant seepage channel is a seepage channel which has a strong abrupt change relationship with an adjacent seepage channel and is injected with water and suddenly enters;

when the target permeability is the current permeability and the target reservoir index parameter is the water absorption ratio, before determining that the reservoir has the dominant seepage channel, the method further comprises:

when the current permeability is greater than or equal to a preset permeability, the oil saturation is less than or equal to a preset oil saturation, and the water absorption ratio is greater than or equal to a preset water absorption ratio, determining that the dominant seepage channel exists in the target oil layer;

when the target permeability is the original permeability, and the target reservoir index parameters include the permeability variation, the interwell water-passing multiple of the target communicated well group, and the water injection efficiency, before determining that the reservoir has the dominant seepage channel, the method further includes:

2. The method of claim 1, wherein the normalizing the raw permeability, the permeability change, the interwell multiple of water breakthrough, the oil saturation, and the waterflood efficiency to obtain the normalized value of the raw permeability, the normalized value of the permeability change, the normalized value of the interwell multiple of water breakthrough, the normalized value of the oil saturation, and the normalized value of the waterflood efficiency, respectively, comprises:

3. The method of claim 1, wherein the processing the normalized value of the original permeability, the normalized value of the permeability change amount, the normalized value of the interwell water crossing multiple, the normalized value of the oil saturation, and the normalized value of the water flooding efficiency according to a preset rule to obtain a comprehensive identification index comprises:

4. The method of claim 1, wherein the processing the normalized value of the original permeability, the normalized value of the permeability change amount, the normalized value of the interwell water crossing multiple, the normalized value of the oil saturation, and the normalized value of the water flooding efficiency according to a preset rule to obtain a comprehensive identification index comprises:

5. The method of claim 4, wherein the weighting the normalized value of the original permeability, the normalized value of the permeability change amount, the normalized value of the interwell multiple of water crossing, the normalized value of the oil saturation, and the normalized value of the waterflood efficiency to obtain the composite identification index comprises:

weighting the absolute value of the R-th power of the product of the arbitrary R normalization values, the absolute value of the S-th power of the product of the arbitrary S normalization values and the T normalization values according to the normalization value of the original permeability, the normalization value of the permeability variation, the normalization value of the cross-well water passing multiple, the weight of the R-th power of the product of the oil saturation and the normalization value of the water injection efficiency, the weight of the S-th power of the product of the arbitrary S normalization values except for the arbitrary R normalization values and the weight of the T normalization values except for the arbitrary R normalization values and the arbitrary S normalization values to obtain the comprehensive identification index;

6. The method of claim 1, wherein after determining that the dominant seepage channel exists for the target reservoir, further comprising:

7. The method of claim 6, wherein the determining the level of the dominant seepage channel present in the target reservoir based on the magnitude of the composite recognition index comprises:

8. A dominant seepage flow pathway determination apparatus, comprising:

the target permeability is the current permeability, the target oil reservoir index parameter is a water absorption ratio, and the water absorption ratio is a ratio between the amount of injected water absorbed by the target oil layer and the total amount of the injected water; or the target permeability is an original permeability, and the target reservoir index parameters include a permeability variation, an inter-well water-passing multiple of a target interconnected well group and a water injection efficiency, the original permeability refers to an initial permeability of the target oil layer when the oil reservoir is not under production development, the permeability variation refers to a difference between the current permeability and the original permeability, the target interconnected well group refers to any one of interconnected wells located in the target oil layer, the inter-well water-passing multiple of the target interconnected well group refers to a ratio of a volume accumulated between an injection well and a production well in the target interconnected well group and passing through the injection water to a pore volume, and the water injection efficiency refers to a ratio of an oil production amount contributed by the injection water to a water amount of the injection water;

the determining module is used for determining that the oil reservoir has a dominant seepage channel when the dominant seepage channel exists in the target oil layer according to the target permeability, the oil saturation and the target oil reservoir index parameter, wherein the dominant seepage channel is a seepage channel which has a strong abrupt change relationship with an adjacent seepage channel and is injected with water and suddenly enters;

when the target permeability is the current permeability and the target reservoir index parameter is the water absorption ratio, the device further comprises:

the second determination module is used for determining that the dominant seepage channel exists in the target oil layer when the current permeability is greater than or equal to a preset permeability, the oil saturation is less than or equal to a preset oil saturation and the water absorption ratio is greater than or equal to a preset water absorption ratio;

when the target permeability is the original permeability and the target reservoir index parameters include the permeability variation, the interwell water-passing multiple of the target communicated well group and the water injection efficiency, the device further comprises: