CN114575831A - Volume fracturing horizontal well productivity prediction method and device under advanced energy supplement development mode - Google Patents

Volume fracturing horizontal well productivity prediction method and device under advanced energy supplement development mode Download PDF

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CN114575831A
CN114575831A CN202011381169.8A CN202011381169A CN114575831A CN 114575831 A CN114575831 A CN 114575831A CN 202011381169 A CN202011381169 A CN 202011381169A CN 114575831 A CN114575831 A CN 114575831A
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刘立峰
白喜俊
邹存友
李峰峰
董家辛
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Abstract

The invention discloses a volume fracturing horizontal well productivity prediction method and device under an advanced energy-supplementing development mode, wherein the method comprises the following steps: acquiring basic parameters of a compact reservoir and a horizontal well for advanced water injection and energy supplement; determining an effective seepage distance in an advanced energy storage range, the area of an advanced energy supplementing region, average formation pressure, initial porosity and initial permeability of a reservoir after energy supplement and the phase time of a first phase of horizontal well production according to basic parameters; constructing a first model and a second model of the volume fracturing productivity of the compact oil horizontal well according to actual production time, effective seepage distance, average formation pressure, initial porosity and initial permeability of the reservoir after energy supplement and basic parameters; when the actual production time is less than or equal to the stage time, predicting the productivity of the horizontal well by using the first model; and if so, predicting the productivity of the horizontal well by using the second model. The method can accurately predict the capacity of the low-pressure type tight oil reservoir volume fractured horizontal well in an advanced energy-supplementing development mode.

Description

Volume fracturing horizontal well productivity prediction method and device under advanced energy supplement development mode
Technical Field
The invention relates to the technical field of oil and gas field development, in particular to a method and a device for predicting the capacity of a volume fracturing horizontal well in an advanced energy-supplementing development mode.
Background
This section is intended to provide a background or context to the embodiments of the invention that are recited in the claims. The description herein is not admitted to be prior art by inclusion in this section.
The compact oil reservoir has large resource amount and wide distribution range, and is an important substitute for conventional oil and gas resources. The low-pressure compact oil represented by compact oil with 7 sections in the Ordos basin as a typical representative is one of the main components of compact oil resources in China. Due to the fact that the compact oil reservoir is poor in physical property, the benefit development is achieved by volume fracturing of a horizontal well. The low-pressure compact oil has the characteristic of low pore pressure besides low pore permeability, and the formation pressure coefficient is 0.7-0.9, so that the formation energy is seriously insufficient, and the development effect of an oil well is adversely affected.
Aiming at the development of low-pressure compact oil, a novel development mode of advanced water injection and energy supplement appears in recent years, and the problem of low pore pressure of a reservoir can be effectively solved. The advanced water injection energy compensation is essentially different from hydraulic fracturing, on one hand, the hydraulic fracturing process is very fast, the construction displacement is large, construction can be completed within several hours, pressure is mainly concentrated near fractures, the extension range in a reservoir is limited, the advanced energy compensation is a slow balancing process, the water injection of the same well is usually carried out for half a year or even a year, the pressure spread range is wide, and the pressure in the energy compensation range tends to be balanced; on the other hand, the fracturing fluid after hydraulic fracturing can be quickly drained back after a well is opened, most of the fracturing fluid can be drained in a short period, then the stratum crude oil is exploited, and injected water for advanced energy supplement can be left in the stratum and coexists with the stratum crude oil, and exploitation can be carried out simultaneously with the crude oil. The advanced water injection energy compensation is essentially different from the water injection well network energy compensation, the water injection well network energy compensation is a process of water injection of a water injection well and oil production of an oil production well in a well network and a process of water displacement between wells, and the advanced water injection energy compensation is a process of water injection and oil production in the same well without water displacement.
The advanced water injection energy compensation is injected into a reservoir through a large amount of water for a long time, the formation pressure, the porosity and the permeability are greatly changed, and a high-pressure belt for advanced energy compensation is formed near a horizontal well. And because the advanced energy supplement is implemented before hydraulic fracturing, the exploitation mechanism of the horizontal well after the hydraulic fracturing is more complicated, two seepage areas appear, and the prediction of the productivity of the horizontal well is more difficult. At present, the method and the technology for predicting the productivity of the compact oil are carried out on the fractured horizontal well under the original reservoir condition, and the productivity of the fractured horizontal well under the advanced energy compensation condition cannot be calculated. Therefore, the method for predicting the productivity of the low-pressure tight oil reservoir advanced energy-supplementing volume fracturing horizontal well is significant.
Disclosure of Invention
The embodiment of the invention provides a method for predicting the capacity of a low-pressure type compact oil reservoir volume fracturing horizontal well in an advanced energy-complementing development mode, which is used for accurately predicting the capacity of the low-pressure type compact oil reservoir volume fracturing horizontal well in the advanced energy-complementing development mode and providing technical support for accurate evaluation and prediction of low-pressure type compact oil production, optimized production allocation and optimized design of process parameters, and comprises the following steps:
acquiring basic parameters of a compact reservoir and a horizontal well for advanced water injection and energy supplement, wherein the basic parameters comprise the actual production time t of the horizontal well;
determining the effective seepage distance r of the injected fluid and the area V of the advanced energy-complementing area according to the basic parameters, and determining the average formation pressure p of the advanced energy-complementing area according to the area V of the advanced energy-complementing area and the basic parameterse
According to mean formation pressure peAnd a base parameter determining the initial porosity of the reservoir after the energy replenishment of the advanced energy replenishment zone before the initiation of hydraulic fracturing
Figure BDA0002809342570000021
And initial permeability kie1
According to the effective seepage distance r and the average formation pressure peInitial porosity of the material
Figure BDA0002809342570000022
Initial permeability kie1And basic parameters, determining the phase time t of the first phase of horizontal well production1The first stage is a seepage stage in the energy supplementing area, the second stage is a seepage stage in the whole fracturing influence area, and the second stage is started after the first stage is finished;
according to the actual production time t, the effective seepage distance r and the average formation pressure peInitial reservoir porosity
Figure BDA0002809342570000023
Initial permeability kie1Constructing a first model of the volume fracturing productivity of the compact oil horizontal well in the advanced energy-supplementing area;
according to the actual production time t and the average formation pressure peAnd basic parameters, constructing a second model of the volume fracturing productivity of the compact oil horizontal well in the whole fracturing influence area;
when t is less than or equal to t1Then, predicting the productivity of the horizontal well by using the first model; when t > t1And then, predicting the productivity of the horizontal well by using the second model.
The embodiment of the invention also provides a device for predicting the capacity of the low-pressure compact oil reservoir volume fracturing horizontal well in an advanced energy-complementing development mode, which is used for accurately predicting the capacity of the low-pressure compact oil reservoir volume fracturing horizontal well in an advanced energy-complementing development mode and providing technical support for accurate evaluation and prediction of the low-pressure compact oil production, optimized production allocation and optimized design of process parameters, and the device comprises:
the acquisition module is used for acquiring basic parameters of the compact reservoir and a horizontal well for advanced water injection and energy supplement, and the basic parameters comprise the actual production time t of the horizontal well;
a determination module for determining the injection fluid from the basic parametersThe effective seepage distance r and the area V of the advanced energy supplement area are used for determining the average formation pressure p of the advanced energy supplement area according to the area V of the advanced energy supplement areae
A determination module for determining the average formation pressure peAnd a base parameter determining the initial porosity of the reservoir after the energy replenishment of the advanced energy replenishment zone before the initiation of hydraulic fracturing
Figure BDA0002809342570000031
And initial permeability kie1
The determination module is also used for determining the average formation pressure p according to the effective seepage distance reInitial porosity of the sample
Figure BDA0002809342570000032
Initial permeability kie1And basic parameters, determining the phase time t of the first phase of horizontal well production1The first stage is a seepage stage in the energy supplementing area, the second stage is a seepage stage in the whole fracturing influence area, and the second stage is started after the first stage is finished;
a model construction module for constructing the average formation pressure p according to the actual production time t, the effective seepage distance r and the average production timeeInitial porosity of the material
Figure BDA0002809342570000033
Initial permeability kie1Constructing a first model of the volume fracturing productivity of the compact oil horizontal well in the advanced energy-supplementing area;
the model construction module is also used for constructing the average formation pressure p according to the actual production time teAnd basic parameters, constructing a second model of the volume fracturing productivity of the compact oil horizontal well in the whole fracturing influence area;
the productivity prediction module is used for predicting the productivity when t is less than or equal to t1Then, predicting the productivity of the horizontal well by using the first model; when t > t1And then, predicting the productivity of the horizontal well by using the second model.
The embodiment of the invention also provides computer equipment which comprises a memory, a processor and a computer program which is stored on the memory and can run on the processor, wherein the processor executes the computer program to realize the method for predicting the volume fractured horizontal well productivity in the advanced energy compensation development mode.
The embodiment of the invention also provides a computer readable storage medium, which stores a computer program for executing the method for predicting the productivity of the volume fractured horizontal well in the advanced energy compensation development mode.
In the embodiment of the invention, the characteristic that the influence of the advanced energy supplement of the low-pressure compact oil on the yield of the volume fracturing horizontal well is large is considered, the method and the device for predicting the yield of the advanced energy supplement volume fracturing horizontal well are innovatively formed, and the method and the device have the following remarkable advantages:
1. the method for calculating the influence of the low-pressure type compact oil advanced energy compensation on the compact reservoir and fluid parameters is innovatively formed, the changes of the average formation pressure, the porosity and the permeability under different reservoir physical property conditions and different basic parameters and the area size of an advanced energy compensation area can be calculated, and a basis can be provided for the formulation of the advanced energy compensation development technical policy.
2. The method for dividing the production stage of the advanced energy-supplementing fracturing horizontal well is innovatively established, a stage time calculation model for transition among different production stages is established, the division of the production stages under different reservoir conditions, different advanced energy-supplementing scales and different mining systems can be realized, the prejudgment on of yield change can be performed, and a basis is provided for the optimized production allocation of an oil well.
3. The productivity prediction method aiming at different production stages is formed for the first time, and the oil well productivity can be accurately predicted under the complex exploitation condition of the volume fracturing horizontal well with advanced energy supplement.
4. Two yield models of different production stages of the compact oil volume fracturing horizontal well in the advanced energy compensation development mode are innovatively established, the first model considers the influence of advanced energy compensation on reservoir parameters and the influence of stress sensitivity on the yield of the oil well, and the initial yield of the horizontal well in the advanced energy compensation mode can be more accurately predicted; the second model can more accurately predict the yield of the horizontal well in the whole life cycle in an advanced energy supplementing mode, provides a basis for the optimization of oil well production allocation and production system, and has wide application prospect.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts. In the drawings:
FIG. 1 is a flowchart of a method for predicting the productivity of a fractured horizontal well with advanced energy supplement volume according to an embodiment of the invention;
FIG. 2 is a schematic diagram of the division of different seepage stages of a fractured horizontal well under the advanced water injection and energy supplement condition in the embodiment of the invention;
FIG. 3 is a schematic diagram illustrating seepage in the leading energy region during the first stage of the present embodiment;
FIG. 4 is a schematic illustration of seepage throughout a fracture affected zone during a second stage of an embodiment of the present invention;
FIG. 5 is a schematic structural diagram of a device for predicting the productivity of a fractured horizontal well with advanced energy supplement volume according to an embodiment of the invention;
fig. 6 is a schematic structural diagram of a computer device according to an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention more apparent, the embodiments of the present invention are further described in detail below with reference to the accompanying drawings. The exemplary embodiments and descriptions of the present invention are provided to explain the present invention, but not to limit the present invention.
The embodiment of the invention provides a method for predicting the productivity of a fractured horizontal well with advanced energy supplement volume, which comprises the following steps of 101 to 106:
101, obtaining basic parameters of a compact reservoir and a horizontal well for advanced water injection and energy supplement, wherein the basic parameters comprise actual production time t of the horizontal well.
Wherein the basic parameter comprises the original formation pressure p of the reservoiriStarting pressure gradient G, effective thickness h, volume compressibility of crude oil C0Volume compressibility of formation water CwVolume compressibility of rock CfOriginal water saturation SwcOriginal reservoir porosity phi and downhole water injection pressure p of horizontal welliwThe distance L between the first perforation point and the last perforation point, and the volume coefficient B of the injected waterwTotal water injection amount WpOriginal reservoir porosity
Figure BDA0002809342570000051
Stress sensitivity coefficient upsilon and original reservoir matrix permeability kiOriginal reservoir matrix permeability kiStress sensitivity coefficient gamma, width w of artificial crackfPermeability k of crackfe1N number of artificial cracks and gamma coefficient of variation of permeability of artificial cracksfCrude oil viscosity, mu, bottom hole production pressure, pwCrack spacing l of pressed crack and half-length x of artificial crackf
Wherein the pressure p of the original formationiThe data is determined through well testing or downhole pressure gauge measurement; the starting pressure gradient G is obtained by measuring a compact reservoir through an indoor experiment, the starting pressure gradients of reservoirs with different physical properties are different, and the unit of the starting pressure gradient is MPa/s; the effective thickness h is determined by well logging data, in meters (m); volume compressibility factor C of crude oil0Volume compressibility of formation water CwVolume compressibility of rock CfOriginal water saturation SwcVolume coefficient of injected water BwThe data are obtained through calculation of indoor experimental data or logging data; pressure p of water injection in welliwBottom hole production pressure pwObtained through field actual measurement; the distance L from the first perforation point to the last perforation point is determined by well logging information or actual measurement and is measured in meters (m); total water injection WpDetermined by actual measurement in the field and has the unit of cubic meter (m)3) (ii) a Original reservoir porosity phi, original reservoir matrix permeability kiOriginal reservoir porosity
Figure BDA0002809342570000052
Stress sensitivity coefficient upsilon and original reservoir matrix permeability kiThe stress sensitivity coefficient gamma of the rock core is determined by indoor rock core measurement; width w of artificial crackfPermeability k of crackfe1The number n of the artificial cracks and the permeability variation coefficient gamma of the artificial cracksfThe crude oil viscosity mu is obtained through an indoor fracturing simulation experiment or logging data; the crack spacing l of the fracturing crack is obtained through the actual fracturing construction parameters on site; half-length x of artificial crackfDetermined by artificial fracture monitoring means.
102, determining an effective seepage distance r of the injected fluid and an area V of the advanced energy-supplementing area according to basic parameters, and determining an average formation pressure p of the advanced energy-supplementing area according to the area V of the advanced energy-supplementing area and the basic parameterse
In a low-pressure compact reservoir, long-term low-displacement water injection energy supplement is carried out before the volume fracturing of a horizontal well, the pressure and physical parameters of a stratum can be changed, and the influence range of the advanced water injection energy supplement in the stratum, namely the area of an advanced energy supplement area, is determined firstly.
In particular, according to the pressure p of water injection in the welliwOriginal formation pressure piStarting a pressure gradient G, determining a water injection pressure p in the welliwNext, the effective percolation distance r of the injected fluid due to the initiation of the pressure gradient G of the reservoir matrix; and determining the area V of the advanced energy compensation region according to the effective thickness h, the effective seepage distance r and the distance L from the first perforation point to the last perforation point.
Wherein, the effective seepage distance r is calculated according to the following formula:
Figure BDA0002809342570000061
the advanced energy compensation region is an elliptical region, and the area V of the advanced energy compensation region is calculated according to the following formula:
V=h(2rL+4πr2)
due to the influence of the advance energy compensation, the formation pressure of reservoirs around the horizontal well can be changed remarkably. The advanced energy compensation is different from fracturing, the water injection pressure is smaller than the fracture starting pressure, new fractures cannot be generated, the pressure change only occurs in the advanced energy compensation range, the injection speed is slow, the injection time is long, the pressure in the advanced energy compensation area is close to balance, and the pressure is slowly reduced or not reduced.
According to the pressure p of the original formationiTotal water injection amount WpVolume coefficient of injected water BwOriginal reservoir porosity phi, original water saturation SwcVolume compressibility of crude oil C0Volume compressibility of formation water CwVolume compressibility of rock CfAnd the area V of the advanced energy supplement area, and determining the average formation pressure p in the range of the advanced energy supplement areae. The formula used is as follows:
Figure BDA0002809342570000062
103, according to the average formation pressure peAnd a base parameter determining the initial porosity of the reservoir after the energy replenishment of the advanced energy replenishment zone before the initiation of hydraulic fracturing
Figure BDA0002809342570000063
And initial permeability kie1
The compact reservoir has stronger stress sensitivity, and the porosity and the permeability are changed due to the change of pore volume caused by the change of pore pressure, which is different from the conventional reservoir. And under the condition of advanced energy supplement, the injected water is often far larger than the dosage of the fracturing fluid, so that the porosity and permeability of a reservoir matrix before hydraulic fracturing of the reservoir are greatly changed, the change not only affects the fracturing process, but also greatly affects the productivity of an oil well and cannot be ignored.
In particular, according to the original reservoir porosity
Figure BDA0002809342570000064
Original reservoir porosity
Figure BDA0002809342570000065
Stress sensitivity coefficient v, original formation pressure piAnd an average formation pressure peDetermining initial porosity
Figure BDA0002809342570000066
According to the original reservoir matrix permeability kiOriginal reservoir matrix permeability kiStress sensitivity coefficient gamma, original formation pressure piAnd an average formation pressure peDetermining the initial permeability kie1
Figure BDA0002809342570000067
And kie1Both reservoir porosity and permeability before initiation of hydraulic fracturing.
Wherein the initial porosity is calculated using the following formula
Figure BDA0002809342570000068
Figure BDA0002809342570000071
The initial permeability k is calculated using the following formulaie1
Figure BDA0002809342570000072
104, according to the effective seepage distance r and the average formation pressure peInitial porosity of the material
Figure BDA0002809342570000076
Initial permeability kie1And basic parameters, determining the phase time t of the first phase of horizontal well production1
The first stage is a seepage stage in the energy supplementing area, the second stage is a seepage stage in the whole fracturing influence area, and the second stage is started after the first stage is finished.
Because a long-term water injection energy supplementing process is provided before hydraulic fracturing, the production process of the fractured horizontal well under the condition of advanced energy supplementing is more complicated. According to the difference of formation parameters and the characteristics of the seepage process of oil well production, the whole seepage stage is divided into two stages, and fig. 2 exemplarily shows a schematic diagram of the division of different seepage stages of a fractured horizontal well under the condition of advanced water injection and energy supplement: the first stage is seepage in the advance energy supplement area, the formation pressure in the advance energy supplement area is the highest, the area closest to the shaft is the area where the flow is started, and in an exemplary way, the seepage in the advance energy supplement area in the first stage is shown in a schematic view in fig. 3; the second stage is the seepage flow of the whole hydraulic fracture affected zone, and because the artificial fracturing is far away, the extension range exceeds the range of the advanced energy-complementing zone, and the pore pressure is low, when the pressure in the advanced energy-complementing range is reduced to the pressure of the original formation of the reservoir, the seepage flow of the whole fracture affected zone starts, and for example, fig. 4 shows a schematic diagram of the seepage flow of the whole fracture affected zone in the second stage.
In this step, the volume compressibility C is determined according to the crude oil0Volume compressibility of formation water CwVolume compressibility of rock CfOriginal water saturation SwcCalculating the comprehensive compression coefficient C of the reservoirt(ii) a According to initial permeability kie1Original reservoir matrix permeability kiStress sensitivity coefficient gamma, bottom hole production pressure pwAnd an average formation pressure peDetermining the permeability k of the matrix in the first stage in the energy-complementing areai1(ii) a According to the crack permeability kfe1Permeability coefficient of variation gamma of artificial crackfBottom hole production pressure pwAnd an average formation pressure peDetermining the permeability k of the artificial fracture in the first production stage in the energy compensation areaf1(ii) a According to the comprehensive compression coefficient C of the reservoirtInitial porosity of the material
Figure BDA0002809342570000073
Original reservoir porosity
Figure BDA0002809342570000074
Stress sensitivity coefficient upsilon, bottom hole production pressure pwAverage formation pressure peCrude oil viscosity, mu, initial permeability, kie1Permeability k of artificial crackf1Width w of artificial crackfEffective seepage distance r, original formation pressure piPermeability k of matrix in first stage in energy-complementing zonei1And original reservoir matrix permeability kiDetermining the phase time t of the first phase of horizontal well production1
Wherein, the comprehensive compression coefficient C of the reservoir is calculated according to the following formulat
Figure BDA0002809342570000075
The matrix permeability k in the first stage in the energy-complementing region is calculated according to the following formulai1
Figure BDA0002809342570000081
Calculating the permeability k of the artificial fracture in the first production stage in the energy supplementing area according to the following formulaf1
Figure BDA0002809342570000082
The phase time t of the first phase is calculated according to the following formula1
Figure BDA0002809342570000083
When the boundary pressure of the advanced energy supplement area is equal to the original formation pressure, the time t passes1To (1) aThe first stage is finished and the second stage seepage is started.
105, according to the actual production time t, the effective seepage distance r and the average formation pressure peInitial porosity of the material
Figure BDA0002809342570000084
Initial permeability kie1And basic parameters, and constructing a first model of the volume fracturing productivity of the compact oil horizontal well in the advanced energy compensation area.
According to initial permeability kie1Bottom hole production pressure pwAverage formation pressure peActual production time t, original reservoir matrix permeability kiStress sensitivity coefficient gamma and reservoir comprehensive compression coefficient CtInitial porosity of the sample
Figure BDA0002809342570000085
Original reservoir porosity
Figure BDA0002809342570000086
Stress sensitivity coefficient upsilon, crude oil viscosity mu and width w of artificial crackfAnd the gap distance l of the fracture is determined1。l1The calculation formula of (a) is as follows:
Figure BDA0002809342570000087
after calculating to obtain l1Then, according to the permeability k of the artificial crack in the first production stage in the energy supplementing areaf1Permeability k of matrix in first stage in energy-complementing zonei1Width w of artificial crackfFirst pressure wave propagation distance l1Crude oil viscosity, mu, bottom hole production pressure, pwAverage formation pressure peOriginal reservoir matrix permeability kiDetermining a first model q by the effective seepage distance r, the number n of artificial cracks and the effective thickness h1。q1As follows:
Figure BDA0002809342570000091
106, according to the actual production time t and the average formation pressure peAnd basic parameters, and constructing a second model of the volume fracturing productivity of the compact oil horizontal well in the whole fracturing influence area.
Step 106 may be specifically executed as the following steps 1061 to 1063:
1061, according to the original reservoir matrix permeability kiOriginal reservoir matrix permeability kiStress sensitivity coefficient gamma, bottom hole production pressure pwAnd the pressure p of the original formationiDetermining the permeability k of the matrix in the second stage over the entire percolation regioni2
ki2The calculation formula of (2) is as follows:
Figure BDA0002809342570000092
step 1062, according to the crack permeability kfe1Permeability coefficient of variation gamma of artificial crackfBottom hole production pressure pwAnd an average formation pressure peDetermining the permeability k of the artificial fracture in the second stage in the whole seepage areaf2
kf2The calculation formula of (2) is as follows:
Figure BDA0002809342570000093
step 1063, according to kie2Bottom hole production pressure pwOriginal formation pressure piOriginal reservoir matrix permeability kiStress sensitivity coefficient gamma, original reservoir porosity phi and reservoir comprehensive compression coefficient CtCrude oil viscosity mu, width w of artificial fracturefDetermining the propagation distance l of the second pressure wave according to the gap distance l of the fracture and the actual production time t2
Wherein l2The calculation formula of (a) is as follows:
Figure BDA0002809342570000101
step 1064, according to the permeability k of the artificial fracture in the second stage in the whole seepage areaf2The permeability k of the matrix in the second stage in the entire percolation regioni2Width w of artificial crackfSecond pressure wave propagation distance l2Crude oil viscosity, mu, bottom hole production pressure, pwOriginal formation pressure piHalf-length x of artificial crackfDetermining the number n and the effective thickness h of the artificial cracks and determining a second model q2
Wherein,
Figure BDA0002809342570000102
step 107, when t is less than or equal to t1Then, predicting the productivity of the horizontal well by using the first model; when t > t1And then, predicting the productivity of the horizontal well by using the second model.
Since the phase time of the first phase is t1When the time t is exceeded1If so, then enter the second stage, thus, when t is less than or equal to t1Then, predicting the productivity of the horizontal well by using the first model; when t > t1And then, predicting the productivity of the horizontal well by using the second model.
In the embodiment of the invention, the characteristic that the influence of the advanced energy supplement of the low-pressure compact oil on the yield of the volume fracturing horizontal well is large is considered, the method and the device for predicting the yield of the advanced energy supplement volume fracturing horizontal well are innovatively formed, and the method and the device have the following remarkable advantages:
1. the method for calculating the influence of the low-pressure type compact oil advanced energy compensation on the compact reservoir and fluid parameters is innovatively formed, the changes of the average formation pressure, the porosity and the permeability under different reservoir physical property conditions and different basic parameters and the area size of an advanced energy compensation area can be calculated, and a basis can be provided for the formulation of the advanced energy compensation development technical policy.
2. The method for dividing the production phase of the advanced energy-supplementing fractured horizontal well is innovatively established, a phase time calculation model for transition between different production phases is established, the division of the production phases under different reservoir conditions, different advanced energy-supplementing scales and different mining systems can be realized, the prediction of yield change can be carried out, and a basis is provided for the optimized production allocation of an oil well.
3. The productivity prediction method aiming at different production stages is formed for the first time, and the oil well productivity can be accurately predicted under the complex exploitation condition of the volume fracturing horizontal well with advanced energy supplement.
4. Two yield models of different production stages of the compact oil volume fracturing horizontal well in the advanced energy compensation development mode are innovatively established, the first model considers the influence of advanced energy compensation on reservoir parameters and the influence of stress sensitivity on the yield of the oil well, and the initial yield of the horizontal well in the advanced energy compensation mode can be more accurately predicted; the second model can more accurately predict the yield of the horizontal well in the whole life cycle in an advanced energy supplementing mode, provides a basis for the optimization of oil well production allocation and production system, and has wide application prospect.
The embodiment of the invention also provides a device for predicting the productivity of the advanced energy-complementing volume fracturing horizontal well, which is described in the following embodiment. Because the principle of solving the problems of the device is similar to the method for predicting the productivity of the advanced energy-complementing volume fracturing horizontal well, the implementation of the device can refer to the implementation of the method for predicting the productivity of the advanced energy-complementing volume fracturing horizontal well, and repeated parts are not repeated.
As shown in FIG. 5, the apparatus 500 includes an acquisition module 501, a determination module 502, a model building module 503, and a capacity forecast module 504.
The acquiring module 501 is used for acquiring basic parameters of a compact reservoir and a horizontal well for performing advanced water injection and energy supplement, wherein the basic parameters comprise actual production time t of the horizontal well;
a determination module 502 for determining an effective percolation distance r of the injected fluid and an area V of the advanced energizing zone based on the basic parameters, determining an average lamination of the advanced energizing zone based on the area V of the advanced energizing zone and the basic parametersForce pe
A determination module 502, further configured to determine a mean formation pressure peAnd a base parameter determining the initial porosity of the reservoir after the energy replenishment of the advanced energy replenishment zone before the initiation of hydraulic fracturing
Figure BDA0002809342570000112
And initial permeability kie1
The determination module 502 is further configured to determine an average formation pressure p according to the effective seepage distance reInitial porosity of the material
Figure BDA0002809342570000113
Initial permeability kie1And basic parameters, determining the phase time t of the first phase of horizontal well production1The first stage is a seepage stage in the energy supplementing area, the second stage is a seepage stage in the whole fracturing influence area, and the second stage is started after the first stage is finished;
a model construction module 503 for constructing the model according to the actual production time t, the effective seepage distance r, and the average formation pressure peInitial porosity of the material
Figure BDA0002809342570000111
Initial permeability kie1Constructing a first model of the volume fracturing productivity of the compact oil horizontal well in the advanced energy-supplementing area;
a model construction module 503, further configured to calculate an average formation pressure p according to the actual production time teAnd basic parameters, constructing a second model of the volume fracturing productivity of the compact oil horizontal well in the whole fracturing influence area;
a capacity prediction module 504 for predicting the capacity when t is less than or equal to t1Then, predicting the productivity of the horizontal well by using the first model; when t > t1And then, predicting the productivity of the horizontal well by using the second model.
In one implementation of the embodiment of the invention, the basic parameter further comprises the pressure p of the reservoir in the original formationiStarting pressure gradient G, effective thickness h, volume compressibility of crude oil C0Volume compressibility of formation water CwVolume compressibility of rock CfOriginal water saturation SwcOriginal reservoir porosity phi and downhole water injection pressure p of horizontal welliwThe distance L between the first perforation point and the last perforation point, and the volume coefficient B of the injected waterwTotal water injection amount WpOriginal reservoir porosity
Figure BDA0002809342570000121
Stress sensitivity coefficient upsilon and original reservoir matrix permeability kiOriginal reservoir matrix permeability kiStress sensitivity coefficient gamma, width w of artificial crackfCrack permeability kfe1N number of artificial cracks and gamma coefficient of variation of permeability of artificial cracksfCrude oil viscosity, mu, bottom hole production pressure, pwCrack spacing l of pressed crack and half-length x of artificial crackf
In an implementation manner of the embodiment of the present invention, the determining module 502 is configured to:
according to the pressure p of water injection in the welliwOriginal formation pressure piStarting a pressure gradient G, determining a water injection pressure p in the welliwNext, the effective percolation distance r of the injected fluid due to the starting pressure gradient G of the reservoir matrix;
determining the area V of the advanced energy supplementing region according to the effective thickness h, the effective seepage distance r and the distance L from the first perforation point to the last perforation point;
according to the pressure p of the original formationiTotal water injection amount WpVolume coefficient of injected water BwOriginal reservoir porosity phi, original water saturation SwcVolume compressibility of crude oil C0Volume compressibility of formation water CwVolume compressibility of rock CfAnd the area V of the advanced energy supplement area, and determining the average formation pressure p in the range of the advanced energy supplement areae
In an implementation manner of the embodiment of the present invention, the determining module 502 is configured to:
according to original reservoir porosity
Figure BDA0002809342570000122
Original reservoir porosity
Figure BDA0002809342570000123
Stress sensitivity coefficient upsilon and original formation pressure piAnd an average formation pressure peDetermining initial porosity
Figure BDA0002809342570000124
According to the original reservoir matrix permeability kiOriginal reservoir matrix permeability kiStress sensitivity coefficient gamma, original formation pressure piAnd an average formation pressure peDetermining the initial permeability kie1
In an implementation manner of the embodiment of the present invention, the determining module 502 is configured to:
according to the volume compressibility factor C of the crude oil0Volume compressibility of formation water CwVolume compressibility of rock CfOriginal water saturation SwcCalculating the comprehensive compression coefficient C of the reservoirt
According to initial permeability kie1Original reservoir matrix permeability kiStress sensitivity coefficient gamma, bottom hole production pressure pwAnd an average formation pressure peDetermining the permeability k of the matrix in the first stage in the energy-complementing areai1
According to the crack permeability kfe1Permeability coefficient of variation gamma of artificial crackfBottom hole production pressure pwAnd an average formation pressure peDetermining the permeability k of the artificial fracture in the first production stage in the energy-supplementing regionf1
According to the comprehensive compression coefficient C of the reservoirtInitial porosity of the sample
Figure BDA0002809342570000131
Original reservoir porosity
Figure BDA0002809342570000132
Stress sensitivity coefficient upsilon, bottom hole production pressure pwAverage formation pressure peCrude oil viscosity, mu, initial permeability, kie1Permeability k of artificial crackf1Width w of artificial crackfEffective seepage distance r, original formation pressure piPermeability k of matrix in first stage in energy-complementing zonei1And original reservoir matrix permeability kiDetermining the phase time t of the first phase of horizontal well production1
In an implementation manner of the embodiment of the present invention, the model building module 503 is configured to:
according to initial permeability kie1Bottom hole production pressure pwAverage formation pressure peActual production time t, original reservoir matrix permeability kiStress sensitivity coefficient gamma and reservoir comprehensive compression coefficient CtInitial porosity of the material
Figure BDA0002809342570000133
Original reservoir porosity
Figure BDA0002809342570000134
Stress sensitivity coefficient upsilon, crude oil viscosity mu and width w of artificial crackfAnd the gap distance l of the fracture is determined1
Permeability k of artificial crack in first production stage in energy supplementing regionf1Permeability k of matrix in first stage in energy-complementing zonei1Width w of artificial crackfFirst pressure wave propagation distance l1Crude oil viscosity, mu, bottom hole production pressure, pwAverage formation pressure peOriginal reservoir matrix permeability kiDetermining a first model q by the effective seepage distance r, the number n of artificial cracks and the effective thickness h1
In an implementation manner of the embodiment of the present invention, the model building module 503 is configured to:
according to original reservoir matrix permeability kiOriginal reservoir matrix permeability kiStress sensitivity coefficient gamma, bottom hole production pressure pwAnd the pressure p of the original formationiDetermining the permeability k of the matrix in the second stage over the entire percolation regioni2
According to the crack permeability kfe1Permeability coefficient of variation gamma of artificial crackfBottom hole production pressure pwAnd an average formation pressure peDetermining the permeability k of the artificial fracture in the second stage in the whole seepage areaf2
According to kie2Bottom hole production pressure pwOriginal formation pressure piOriginal reservoir matrix permeability kiStress sensitivity coefficient gamma, original reservoir porosity phi and reservoir comprehensive compression coefficient CtCrude oil viscosity mu, width w of artificial fracturefDetermining the propagation distance l of the second pressure wave according to the gap distance l of the fracture and the actual production time t2
According to the permeability k of the artificial fracture in the second stage in the whole seepage areaf2The permeability k of the matrix in the second stage in the entire percolation regioni2Width w of artificial crackfSecond pressure wave propagation distance l2Crude oil viscosity, mu, bottom hole production pressure, pwOriginal formation pressure piHalf-length x of artificial crackfDetermining the number n and the effective thickness h of the artificial cracks, and determining a second model q2
In the embodiment of the invention, the characteristic that the influence of the advanced energy supplement of the low-pressure compact oil on the yield of the volume fracturing horizontal well is large is considered, the method and the device for predicting the yield of the advanced energy supplement volume fracturing horizontal well are innovatively formed, and the method and the device have the following remarkable advantages:
1. the method for calculating the influence of the low-pressure type compact oil advanced energy compensation on the compact reservoir and fluid parameters is innovatively formed, the changes of the average formation pressure, the porosity and the permeability under different reservoir physical property conditions and different basic parameters and the area size of an advanced energy compensation area can be calculated, and a basis can be provided for the formulation of the advanced energy compensation development technical policy.
2. The method for dividing the production stage of the advanced energy-supplementing fracturing horizontal well is innovatively established, a stage time calculation model for transition among different production stages is established, the division of the production stages under different reservoir conditions, different advanced energy-supplementing scales and different mining systems can be realized, the prejudgment on of yield change can be performed, and a basis is provided for the optimized production allocation of an oil well.
3. The productivity prediction method aiming at different production stages is formed for the first time, and the oil well productivity can be accurately predicted under the complex exploitation condition of the volume fracturing horizontal well with advanced energy supplement.
4. Two yield models of different production stages of the compact oil volume fracturing horizontal well in the advanced energy compensation development mode are innovatively established, the first model considers the influence of advanced energy compensation on reservoir parameters and the influence of stress sensitivity on the yield of the oil well, and the initial yield of the horizontal well in the advanced energy compensation mode can be more accurately predicted; the second model can more accurately predict the yield of the horizontal well in the whole life cycle in an advanced energy supplementing mode, provides a basis for the optimization of oil well production allocation and production system, and has wide application prospect.
An embodiment of the present invention further provides a computer device, and fig. 6 is a schematic diagram of the computer device in the embodiment of the present invention, where the computer device is capable of implementing all steps in the method for predicting the capacity of the volume fractured horizontal well in the advanced energy compensation development mode in the embodiment of the present invention, and the computer device specifically includes the following contents:
a processor (processor)601, a memory (memory)602, a communication Interface (Communications Interface)603, and a communication bus 604;
the processor 601, the memory 602 and the communication interface 603 complete mutual communication through the communication bus 604; the communication interface 603 is used for implementing information transmission between related devices;
the processor 601 is configured to call a computer program in the memory 602, and when the processor executes the computer program, the method for predicting the capacity of the volume fractured horizontal well in the advanced energy complementation development mode in the above embodiment is implemented.
The embodiment of the invention also provides a computer readable storage medium, which stores a computer program for executing the method for predicting the productivity of the volume fractured horizontal well in the advanced energy compensation development mode.
As will be appreciated by one skilled in the art, embodiments of the present invention may be provided as a method, system, or computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present invention has been described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
The above-mentioned embodiments are intended to illustrate the objects, technical solutions and advantages of the present invention in further detail, and it should be understood that the above-mentioned embodiments are only exemplary embodiments of the present invention, and are not intended to limit the scope of the present invention, and any modifications, equivalent substitutions, improvements and the like made within the spirit and principle of the present invention should be included in the scope of the present invention.

Claims (10)

1. The method for predicting the productivity of the volume fractured horizontal well in the advanced energy-supplementing development mode is characterized by comprising the following steps of:
acquiring basic parameters of a compact reservoir and a horizontal well for advanced water injection and energy supplement, wherein the basic parameters comprise the actual production time t of the horizontal well;
determining the effective seepage distance r of the injected fluid and the area V of the advanced energy-supplementing area according to the basic parameters, and determining the average formation pressure p of the advanced energy-supplementing area according to the area V of the advanced energy-supplementing area and the basic parameterse
According to mean formation pressure peAnd a base parameter determining the initial porosity of the reservoir after the energy replenishment of the advanced energy replenishment zone before the initiation of hydraulic fracturing
Figure FDA0002809342560000011
And initial permeability kie1
According to the effective seepage distance r and the average formation pressure peInitial porosity of the material
Figure FDA0002809342560000012
Initial permeability kie1And basic parameters, determining the phase time t of the first phase of horizontal well production1The first stage is a seepage stage in the energy supplementing area, the second stage is a seepage stage in the whole fracturing influence area, and the second stage is started after the first stage is finished;
according to the actual production time t, the effective seepage distance r and the average formation pressure peInitial reservoir porosity
Figure FDA0002809342560000013
Initial permeability kie1Constructing a first model of the volume fracturing productivity of the compact oil horizontal well in the advanced energy-supplementing area;
according to the actual production time t and the average formation pressure peAnd basic parameters, constructing a second model of the volume fracturing productivity of the compact oil horizontal well in the whole fracturing influence area;
when t is less than or equal to t1Then, predicting the productivity of the horizontal well by using the first model; when t > t1And then, predicting the productivity of the horizontal well by using the second model.
2. The method of claim 1, wherein the base parameter further comprises a virgin formation pressure p of the reservoiriStarting pressure gradient G, effective thickness h, volume compressibility of crude oil C0Volume compressibility of formation water CwVolume compressibility of rock CfOriginal water saturation SwcOriginal reservoir porosity phi and downhole water injection pressure p of horizontal welliwThe distance L between the first perforation point and the last perforation point, and the volume coefficient B of the injected waterwTotal water injection amount WpOriginal reservoir porosity
Figure FDA0002809342560000014
Stress sensitivity coefficient upsilon and original reservoir matrix permeability kiOriginal reservoir matrix permeability kiStress sensitivity coefficient gamma, width w of artificial crackfPermeability k of crackfe1N number of artificial cracks and gamma coefficient of variation of permeability of artificial cracksfCrude oil viscosity, mu, bottom hole production pressure, pwCrack spacing l of pressed crack and half-length x of artificial crackf
3. According to the rightThe method of claim 2, wherein the effective seepage distance r and the area V of the advanced energy-complementing region are determined based on the basic parameters, and the average formation pressure p of the advanced energy-complementing region is determined based on the area V of the advanced energy-complementing region and the basic parameterseThe method comprises the following steps:
according to the pressure p of water injection in the welliwOriginal formation pressure piStarting a pressure gradient G, determining a water injection pressure p in the welliwNext, the effective percolation distance r of the injected fluid due to the initiation of the pressure gradient G of the reservoir matrix;
determining the area V of the advanced energy supplementing region according to the effective thickness h, the effective seepage distance r and the distance L from the first perforation point to the last perforation point;
according to the pressure p of the original formationiTotal water injection amount WpVolume coefficient of injected water BwOriginal reservoir porosity phi, original water saturation SwcVolume compressibility of crude oil C0Volume compressibility of formation water CwVolume compressibility of rock CfAnd the area V of the advanced energy supplement area, and determining the average formation pressure p in the range of the advanced energy supplement areae
4. The method of claim 2, wherein the average formation pressure p is determined from the average formation pressure peAnd a base parameter determining the initial porosity of the reservoir after the energy replenishment in the advance energy replenishment range before the start of the hydraulic fracturing
Figure FDA0002809342560000026
And initial permeability kie1The method comprises the following steps:
according to original reservoir porosity
Figure FDA0002809342560000021
Original reservoir porosity
Figure FDA0002809342560000022
Stress sensitivity coefficient v, original formation pressure piAnd an average formation pressure peDetermining initial porosity
Figure FDA0002809342560000023
According to original reservoir matrix permeability kiOriginal reservoir matrix permeability kiStress sensitivity coefficient gamma, original formation pressure piAnd an average formation pressure peDetermining the initial permeability kie1
5. The method of claim 2, wherein the average formation pressure p is determined fromeInitial porosity of the material
Figure FDA0002809342560000024
Initial permeability kie1And basic parameters, determining the phase time t of the first phase of horizontal well production1The method comprises the following steps:
according to the volume compressibility factor C of the crude oil0Volume compressibility of formation water CwVolume compressibility of rock CfOriginal water saturation SwcCalculating the comprehensive compression coefficient C of the reservoirt
According to initial permeability kie1Original reservoir matrix permeability kiGamma, bottom hole production pressure pwAnd an average formation pressure peDetermining the permeability k of the matrix in the first stage in the energy-complementing areai1
According to the crack permeability kfe1Permeability coefficient of variation gamma of artificial crackfBottom hole production pressure pwAnd an average formation pressure peDetermining the permeability k of the artificial fracture in the first production stage in the energy-supplementing regionf1
According to the comprehensive compression coefficient C of the reservoirtInitial porosity of the material
Figure FDA0002809342560000027
Original reservoir porosity
Figure FDA0002809342560000025
Stress sensitivity coefficient upsilon, bottom hole production pressure pwAverage formation pressure peCrude oil viscosity, mu, initial permeability, kie1Permeability k of artificial crackf1Width w of artificial crackfEffective seepage distance r, original formation pressure piPermeability k of matrix in first stage in energy-complementing zonei1And original reservoir matrix permeability kiDetermining the phase time t of the first phase of horizontal well production1
6. The method of claim 5, wherein the average formation pressure p is determined from the actual production time t, the effective seepage distance r, and the average formation pressureeInitial porosity of the material
Figure FDA0002809342560000031
Initial permeability kie1And basic parameters, constructing a first model of the volume fracturing productivity of the compact oil horizontal well in the advanced energy-supplementing area, comprising the following steps:
according to initial permeability kie1Bottom hole production pressure pwAverage formation pressure peActual production time t, original reservoir matrix permeability kiStress sensitivity coefficient gamma and reservoir comprehensive compression coefficient CtInitial porosity of the sample
Figure FDA0002809342560000032
Original reservoir porosity
Figure FDA0002809342560000033
Stress sensitivity coefficient upsilon, crude oil viscosity mu and width w of artificial crackfAnd the gap distance l of the fracture is determined1
Permeability k of artificial crack in first production stage in energy supplementing regionf1Permeability k of matrix in first stage in energy-complementing zonei1Width w of artificial crackfFirst pressure wave propagation distance l1Crude oil viscosity, mu, bottom hole production pressure, pwAverage formation pressure peOriginal reservoir matrix permeability kiDetermining a first model q by the effective seepage distance r, the number n of artificial cracks and the effective thickness h1
7. The method according to claim 5, characterized in that the average formation pressure p is based on the actual production time t, the average formation pressure peAnd basic parameters, constructing a second model of the volume fracturing productivity of the compact oil horizontal well in the whole fracturing influence area, comprising the following steps:
according to the original reservoir matrix permeability kiOriginal reservoir matrix permeability kiStress sensitivity coefficient gamma, bottom hole production pressure pwAnd the pressure p of the original formationiDetermining the permeability k of the matrix in the second stage over the entire percolation regioni2
According to the crack permeability kfe1Permeability coefficient of variation gamma of artificial crackfBottom hole production pressure pwAnd an average formation pressure peDetermining the permeability k of the artificial fracture in the second stage in the whole seepage areaf2
According to kie2Bottom hole production pressure pwOriginal formation pressure piOriginal reservoir matrix permeability kiStress sensitivity coefficient gamma, original reservoir porosity phi and reservoir comprehensive compression coefficient CtCrude oil viscosity mu, width w of artificial fracturefDetermining the propagation distance l of the second pressure wave according to the gap distance l of the fracture and the actual production time t2
According to the permeability k of the artificial fracture in the second stage in the whole seepage areaf2The permeability k of the matrix in the second stage in the entire percolation regioni2Width w of artificial crackfSecond pressure wave propagation distance l2Crude oil viscosity, mu, bottom hole production pressure, pwOriginal formation pressure piHalf-length x of artificial crackfDetermining the number n and the effective thickness h of the artificial cracks and determining a second model q2
8. The utility model provides a volume fracturing horizontal well productivity prediction device under advance can development mode, its characterized in that, the device includes:
the acquisition module is used for acquiring basic parameters of the compact reservoir and a horizontal well for advanced water injection and energy supplement, and the basic parameters comprise the actual production time t of the horizontal well;
the determination module is used for determining the effective seepage distance r of the injected fluid and the area V of the advanced energy supplement area according to the basic parameters, and determining the average formation pressure p of the advanced energy supplement area according to the area V of the advanced energy supplement areae
A determination module for determining the average formation pressure peAnd a base parameter determining the initial porosity of the reservoir after the energy replenishment of the advanced energy replenishment zone before the initiation of hydraulic fracturing
Figure FDA0002809342560000041
And initial permeability kie1
The determination module is also used for determining the average formation pressure p according to the effective seepage distance reInitial porosity of the material
Figure FDA0002809342560000042
Initial permeability kie1And basic parameters, determining the phase time t of the first phase of horizontal well production1The first stage is a seepage stage in the energy supplementing area, the second stage is a seepage stage in the whole fracturing influence area, and the second stage is started after the first stage is finished;
a model construction module used for constructing the average formation pressure p according to the actual production time t, the effective seepage distance r and the average formation pressureeInitial porosity of the material
Figure FDA0002809342560000043
Initial permeability kie1Constructing a first model of the volume fracturing productivity of the compact oil horizontal well in the advanced energy-supplementing area;
the model construction module is also used for constructing the average formation pressure p according to the actual production time teAnd basic parameters, constructing a second model of the volume fracturing productivity of the compact oil horizontal well in the whole fracturing influence area;
the productivity prediction module is used for predicting the productivity when t is less than or equal to t1Then, predicting the productivity of the horizontal well by using the first model; when t > t1And then, predicting the productivity of the horizontal well by using the second model.
9. A computer device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor implements the method of any one of claims 1 to 7 when executing the computer program.
10. A computer-readable storage medium, characterized in that the computer-readable storage medium stores a computer program for executing the method of any one of claims 1 to 7.
CN202011381169.8A 2020-11-30 2020-11-30 Volume fracturing horizontal well productivity prediction method and device under advanced energy supplement development mode Pending CN114575831A (en)

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