CN115522909A - Single well model size determination method and device based on numerical simulation - Google Patents
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Abstract
The invention provides a method and a device for determining the size of a single-well model based on numerical simulation, wherein the method comprises the following steps: acquiring production data of a target single well; establishing a Blasingeam model, an Agarwal-Gardner model, an NPI model and a Wattenbarger model of the target single well according to the production data; and determining the single-well model size of the target single well according to the Blasingeam model, the Agarwal-Gardner model, the NPI model and the Wattenbarger model. According to the single-well model size determining method and device based on numerical simulation, the gas reservoir can be subjected to degressive analysis and capacity prediction only by the yield and the well head pressure of the single-well production history, and the basic data such as reservoir parameters, the sizes of an oil pipe and a casing pipe, the well head temperature and the like, and the gas reservoir parameters such as permeability, recoverable reserve, skin coefficient, final recoverable reserve and the like are determined.
Description
Technical Field
The invention relates to the technical field of petroleum and natural gas development, in particular to a single-well model size determination method and device based on numerical simulation.
Background
Regarding the establishment of the size of the single-well model, the prior art uses the distance between the midpoint of the connecting line of two production wells and the production well as the half length of the side length of the model, but even two adjacent oil reservoirs in the same block have different reservoir characteristics, which causes the single-well model established only by referring to the distance to be inconsistent with the actual situation.
Disclosure of Invention
Aiming at the problems in the prior art, the method and the device for determining the size of the single-well model based on numerical simulation provided by the invention can perform degressive analysis and capacity prediction on the gas reservoir only by using basic data such as the yield and the well head pressure of the production history of the single well, reservoir parameters, the sizes of an oil pipe and a casing pipe, the well head temperature and the like, determine the parameters of the gas reservoir such as permeability, recoverable reserve, skin coefficient, final recoverable reserve and the like, and have the characteristics of less required parameters and easiness in parameter acquisition. The method has wide application range and is suitable for various oil reservoirs and various production conditions.
In a first aspect, the present invention provides a method for determining a size of a single-well model based on numerical simulation, including:
acquiring production data of a target single well;
establishing a Blasingeam model, an Agarwal-Gardner model, an NPI model and a Wattenbarger model of the target single well according to the production data;
and determining the single-well model size of the target single well according to the Blasinname model, the Agarwal-Gardner model, the NPI model and the Wattenbarger model.
In one embodiment, the obtaining production data of the target single well comprises: acquiring production data of the target single well in the initial production period, production data of the oil formation period and generation data of a pressure recovery stage;
the production data includes: production flow, cumulative production, date and time of production, wellhead pressure, bottom hole flow pressure, and perforation depth, casing size depth, porosity, permeability, saturation, conductivity, effective thickness, and wellhead temperature.
In one embodiment, said determining the single-well model size of the target single well from the Blasingeam model, the Agarwal-Gardner model, the NPI model, and the Wattenbarger model comprises:
calculating the arithmetic mean of the dynamic reserves of the target single well according to the Blasinname model, the Agarwal-Gardner model, the NPI model and the Wattenbarger model;
and determining the single-well model size of the target single well according to the arithmetic mean.
In one embodiment, the determining the single-well model size of the target single well from the arithmetic mean comprises:
and determining the single well model size of the target single well according to the arithmetic mean, the porosity of the target single well, the oil saturation and the residual oil saturation.
In a second aspect, the present invention provides a numerical simulation-based single well model size determination apparatus, comprising:
the production data acquisition module is used for acquiring the production data of the target single well;
the model establishing module is used for establishing a Blasingeam model, an Agarwal-Gardner model, an NPI model and a Wattenbarger model of the target single well according to the production data;
and the model size determining module is used for determining the single-well model size of the target single well according to the Blasingeam model, the Agarwal-Gardner model, the NPI model and the Wattenbarger model.
In one embodiment, the production data acquisition module is specifically configured to acquire production data of the target single well at an initial production stage, production data of an oil formation stage, and generation data of a pressure recovery stage;
the production data includes: production flow, cumulative production, date and time of production, wellhead pressure, bottom hole flow pressure, and perforation depth, casing size depth, porosity, permeability, saturation, conductivity, effective thickness, and wellhead temperature.
In one embodiment, the model size determination module comprises:
the arithmetic mean calculating unit is used for calculating the arithmetic mean of the dynamic reserves of the target single well according to the Blasingeam model, the Agarwal-Gardner model, the NPI model and the Wattenbarger model;
and the model size determining unit is used for determining the single-well model size of the target single well according to the arithmetic mean.
In one embodiment, the model size determination unit is specifically configured to determine the single-well model size of the target single well based on the arithmetic mean, the porosity of the target single well, the oil saturation, and the residual oil saturation.
In a third aspect, the present invention provides an electronic device comprising a memory, a processor, and a computer program stored on the memory and executable on the processor, wherein the processor implements the steps of the method for single-well model sizing based on numerical simulation when executing the program.
In a fourth aspect, the present invention provides a computer readable storage medium having stored thereon a computer program which, when executed by a processor, performs the steps of a method for single well model sizing based on numerical simulations.
As can be seen from the above description, the method and apparatus for determining the size of a single well model based on numerical simulation according to the embodiments of the present invention first obtain production data of a target single well; then, establishing a Blasingeam model, an Agarwal-Gardner model, an NPI model and a Wattenbarger model of the target single well according to the production data; and finally, determining the single well model size of the target single well according to the Blasingeam model, the Agarwal-Gardner model, the NPI model and the Wattenbarger model. The method does not need any well closing data when dynamic analysis is carried out, and can carry out degressive analysis and capacity prediction on the gas reservoir by only needing basic data such as the historical yield and the well head pressure of single well production, reservoir parameters, the sizes of an oil pipe and a casing pipe, the well head temperature and the like, so as to determine the gas reservoir parameters such as the permeability, the recoverable reserve, the skin coefficient, the final recoverable reserve and the like. Moreover, the software has wide application range and is suitable for various oil reservoirs and various production conditions.
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 introduced below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to these drawings without creative efforts.
FIG. 1 is a schematic flow chart of a numerical simulation-based single well model sizing method according to an embodiment of the present invention;
FIG. 2 is a flowchart illustrating step 100 according to an embodiment of the present invention;
FIG. 3 is a flow chart illustrating step 300 according to an embodiment of the present invention;
FIG. 4 is a flowchart illustrating step 302 according to an embodiment of the present invention;
FIG. 5 is a schematic flow chart of a numerical simulation-based single well model sizing method in an embodiment of the present invention;
FIG. 6 is a diagram of a single well dynamic reserve evaluation model established by the Blasinname method in a specific application example of the present invention.
FIG. 7 is a single well dynamic reserve evaluation model established by the AG method in an embodiment of the present invention.
FIG. 8 is a diagram of a single well dynamic reserve evaluation model established by an NPI method in an embodiment of the invention.
Fig. 9 is a model for evaluating dynamic reserves of a single well, which is established by the watts bare method in the specific application example of the present invention.
FIG. 10 is a schematic diagram of a numerical simulation based single well model sizing apparatus according to an embodiment of the present invention;
FIG. 11 is a schematic diagram of the structure of the model size determination module 30 in an embodiment of the present invention;
fig. 12 is a schematic structural diagram of an electronic device in an embodiment of the invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, but not all, embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
It should be noted that, in the present application, the embodiments and features of the embodiments may be combined with each other without conflict. The present application will be described in detail below with reference to the embodiments with reference to the attached drawings.
The embodiment of the invention provides a specific implementation mode of a single-well model size determination method based on numerical simulation, and referring to fig. 1, the method specifically comprises the following steps:
step 100: and acquiring the production data of the target single well.
Specifically, data of the old well in the initial production stage, the oil production stage and the pressure recovery stage are obtained firstly, and the data comprise parameters such as production flow, accumulated production (or produced reserves), production date and time and the like. Then, the corresponding file is selected as data input, data columns are distributed and designated, data are adjusted, defaulted and set, and input of data is checked. And finally, selecting a corresponding data module according to the reservoir attribute, setting reservoir attribute parameters, and updating and using the user-defined parameters.
Step 200: and establishing a Blasingeam model, an Agarwal-Gardner model, an NPI model and a Wattenbarger model of the target single well according to the production data.
Specifically, a FAST RTA method is used for establishing a Blasingeam model, an Agarwal-Gardner model, an NPI model and a Wattenbarger model of a single well, wherein the FAST RTA is a dynamic reserve evaluation method and is specially designed for analyzing production data such as flow rate, bottom hole flow pressure and the like. The dynamic analysis is carried out without using any well closing data, and the gas reservoir can be subjected to degressive analysis and productivity prediction only by using the yield and wellhead pressure of the production history of a single well, and the basic data such as reservoir parameters, oil pipe and casing pipe sizes, wellhead temperature and the like, so that the gas reservoir parameters such as permeability, recoverable reserve, skin coefficient, final recoverable reserve and the like are determined, and the dynamic analysis has the characteristics of less required parameters and easiness in parameter acquisition. The method has wide application range and is suitable for various oil reservoirs and various production conditions.
Step 300: and determining the single well model size of the target single well according to the Blasinamee model, the Agarwal-Gardner model, the NPI model and the Wattenbarger model.
It is understood that the single well model size refers to the distance that the single well can control the surrounding reserves.
As can be seen from the above description, the method and apparatus for determining the size of a single well model based on numerical simulation according to the embodiments of the present invention first obtain production data of a target single well; then, establishing a Blasingeam model, an Agarwal-Gardner model, an NPI model and a Wattenbarger model of the target single well according to the production data; and finally, determining the single well model size of the target single well according to the Blasingeam model, the Agarwal-Gardner model, the NPI model and the Wattenbarger model. The invention aims to determine the size of a single-well model by using a dynamic reserve evaluation method, and establish a single-well numerical model for single-well productivity simulation.
In one embodiment, referring to fig. 2, step 100 further comprises:
step 101: acquiring production data of the target single well in the initial production stage, production data of the oil formation stage and generation data of the pressure recovery stage;
the production data includes: production flow, cumulative production, date and time of production, wellhead pressure, bottom hole flow pressure, and perforation depth, casing size depth, porosity, permeability, saturation, conductivity, effective thickness, and wellhead temperature.
Specifically, data of the old well in the initial production stage, the oil production stage and the pressure recovery stage are obtained, wherein the data comprise production flow, accumulated yield (or produced reserve), production date and time, wellhead pressure, bottom hole flow pressure, perforation depth, casing size depth, porosity, permeability, saturation, flow conductivity, effective thickness, wellhead temperature and other parameters, and a foundation is laid for later-stage production prediction.
And then, selecting a corresponding data file, inputting data, distributing and appointing a data column according to the data type, adjusting or defaulting a data format according to actual conditions, and finishing the input of the data.
And finally, setting reservoir parameter settings, specifically selecting a corresponding data module according to the reservoir attributes, customizing and modifying the parameters corresponding to the reservoir physical properties, determining the preset reservoir attributes, updating and using the user-defined parameters, and enabling the preset reservoir physical properties to reach the degree capable of being used for analysis.
In one embodiment, referring to fig. 3, step 300 further comprises:
step 301: and calculating the arithmetic mean of the dynamic reserves of the target single well according to the Blasinname model, the Agarwal-Gardner model, the NPI model and the Wattenbarger model.
Specifically, according to four dynamic reserve evaluation models corresponding to each single well, the arithmetic mean of the dynamic reserve of each single well is calculated. Namely, it is
(as shown in table 1).
TABLE 1 dynamic reserves method investigation results Table
| XXX well | |
| Blasingame(10 8 m 3 ) | 2.25 |
| AG(10 8 m 3 ) | 2.27 |
| NPI(10 8 m 3 ) | 2.02 |
| Wattenbarger(10 8 m 3 ) | 2.02 |
| Average (10) 8 m 3 ) | 2.14 |
Step 302: and determining the single-well model size of the target single well according to the arithmetic mean.
In one embodiment, referring to fig. 4, step 302 further comprises:
step 3021: and determining the single well model size of the target single well according to the arithmetic mean, the porosity, the oil saturation and the residual oil saturation of the target single well.
And calculating the arithmetic mean (set as V) of the dynamic reserves of each single well according to the four dynamic reserve evaluation models corresponding to the single wells.
Setting the volume of the single-well model as V0, the porosity as phi, the oil saturation as S0 and the residual oil saturation as S1, the relation between V0 and the average dynamic reserve V is as follows:
after finishing, the method comprises the following steps:
setting the thickness of the oil reservoir as h, the cross section of the model as a square, and the side length as a, then:
a 2 ×h＝V 0
after finishing, the method comprises the following steps:
to further illustrate the present solution, the present invention provides a specific application example of the single-well model size determination method based on numerical simulation by taking K block as an example, which specifically includes the following contents, see fig. 5.
The method for establishing the size of the single-well model is that the distance between the midpoint of the connecting line of the two production wells and the production well is used as the half length of the side length of the model, which is not consistent with the actual situation. By investigation and comparison, it is considered that an appropriate model size can be determined using a dynamic reserve evaluation method. The specific application example of the application provides a numerical simulation method for establishing the size of a single-well model, and further determines the dynamic reserve of the single well and the model control range of the single well, so that the old well reconstruction can be evaluated.
By investigation, it is considered that an appropriate model size can be determined by using an evaluation method of dynamic reserves. The dynamic reserve evaluation method has various methods, such as a pressure drop method, a flowing substance balance equation method, an elastic two-phase method and the like, and the FAST RTA method is considered to be the most suitable method for obtaining the dynamic reserve and the control range of the single well model after comprehensively considering factors such as data, an application range, an application degree and the like required by each method.
S1: production data is collected.
The data of the old well in the initial production stage, the oil production stage and the pressure recovery stage, including production flow, accumulated yield (or produced reserves), production date and time, wellhead pressure, bottom hole flowing pressure, perforation depth, casing size depth, porosity, permeability, saturation, flow conductivity, effective thickness, wellhead temperature and other parameters, are obtained, and a foundation is laid for later production prediction.
S2: and inputting production data.
Selecting a corresponding data file, inputting data, distributing and appointing a data column according to the data type, adjusting or defaulting the data format according to the actual condition, and finishing the data input.
S3: and (5) setting reservoir parameters.
Selecting a corresponding data module according to the reservoir property, self-defining and modifying the parameter corresponding to the reservoir property, determining the predetermined reservoir property, updating and using the user-defined parameter, and enabling the predetermined reservoir property parameter to reach the degree capable of being used for analysis.
S4: and establishing four dynamic reserve evaluation models of the single well.
The FAST RTA method has 8 advanced analysis models with different accuracies, taking the blastname analysis model as an example, firstly referring to the input data in the step (2), then selecting the blastname analysis model, performing data analysis, creating parameter prediction, and forming a corresponding blastname single-well dynamic reserve evaluation model (fig. 6). Referring to the method, single-well dynamic reserve evaluation models of Agarwal-Gardner, NPI and Wattenbarger are respectively established (FIGS. 7 to 9).
S5: an arithmetic average of the single well dynamic reserves is determined.
And calculating the arithmetic mean of the dynamic reserves of each single well according to the four dynamic reserve evaluation models corresponding to the single wells. Namely, it is
(as shown in table 1).
S6: and (4) determining the size of the single-well model.
According to the storage characteristics, the porosity is taken
30%, oil saturation So =40%, residual oil saturation S 1 At 9%, the model volume is:
assuming reservoir thickness h =100m, the side length a of the cross section of the single-well model (taking a square as an example):
as can be seen from the above description, the single-well model size determining apparatus based on numerical simulation provided in the embodiment of the present invention first obtains production data of a target single well; then, establishing a Blasingeam model, an Agarwal-Gardner model, an NPI model and a Wattenbarger model of the target single well according to the production data; and finally, determining the single-well model size of the target single well according to the Blasingeam model, the Agarwal-Gardner model, the NPI model and the Wattenbarger model. The dynamic analysis method does not need to use any well closing data during dynamic analysis, only needs basic data such as the yield and the well head pressure of the production history of a single well, reservoir parameters, the sizes of an oil pipe and a casing pipe, the well head temperature and the like, can perform degressive analysis and capacity prediction on the gas reservoir, determines the gas reservoir parameters such as permeability, recoverable reserve, skin coefficient, final recoverable reserve and the like, and has the characteristics of less required parameters and easiness in parameter acquisition. Moreover, the software has wide application range and is suitable for various oil reservoirs and various production conditions.
Based on the same inventive concept, the embodiment of the present application further provides a single well model size determination device based on numerical simulation, which can be used to implement the method described in the above embodiment, as in the following embodiment. Because the principle of solving the problems of the single-well model size determining device based on the numerical simulation is similar to that of the single-well model size determining method based on the numerical simulation, the implementation of the single-well model size determining device based on the numerical simulation can be implemented by referring to the implementation of the single-well model size determining method based on the numerical simulation, and repeated parts are not described again. As used hereinafter, the term "unit" or "module" may be a combination of software and/or hardware that implements a predetermined function. While the system described in the embodiments below is preferably implemented in software, implementations in hardware, or a combination of software and hardware are also possible and contemplated.
The embodiment of the invention provides a specific implementation manner of a single-well model size determining device based on numerical simulation, which can realize the single-well model size determining method based on numerical simulation, and referring to fig. 10, the single-well model size determining device based on numerical simulation specifically comprises the following contents:
the production data acquisition module 10 is used for acquiring the production data of the target single well;
the model establishing module 20 is used for establishing a Blasingeam model, an Agarwal-Gardner model, an NPI model and a Wattenbarger model of the target single well according to the production data;
and the model size determining module 30 is used for determining the single-well model size of the target single well according to the Blasingeam model, the Agarwal-Gardner model, the NPI model and the Wattenbarger model.
In one embodiment, the production data acquisition module is specifically configured to acquire production data of the target single well at an initial production stage, production data of an oil formation stage, and generation data of a pressure recovery stage;
the production data includes: production flow, cumulative production, date and time of production, wellhead pressure, bottom hole flow pressure, and perforation depth, casing size depth, porosity, permeability, saturation, conductivity, effective thickness, and wellhead temperature.
In one embodiment, referring to fig. 11, the model size determination module 30 includes:
an arithmetic mean calculation unit 301, configured to calculate an arithmetic mean of the dynamic reserves of the target individual well according to the blastname model, the Agarwal-Gardner model, the NPI model, and the watts bare model;
a model size determination unit 302, configured to determine a single-well model size of the target single well according to the arithmetic mean.
In one embodiment, the model size determination unit is specifically configured to determine the single-well model size of the target single well according to the arithmetic mean, the porosity, the oil saturation, and the residual oil saturation of the target single well.
As can be seen from the above description, the single-well model size determination apparatus based on numerical simulation provided in the embodiments of the present invention first obtains production data of a target single well; then, establishing a Blasingeam model, an Agarwal-Gardner model, an NPI model and a Wattenbarger model of the target single well according to the production data; and finally, determining the single well model size of the target single well according to the Blasingeam model, the Agarwal-Gardner model, the NPI model and the Wattenbarger model. The method does not need any well closing data when dynamic analysis is carried out, and can carry out degressive analysis and capacity prediction on the gas reservoir by only needing basic data such as the historical yield and the well head pressure of single well production, reservoir parameters, the sizes of an oil pipe and a casing pipe, the well head temperature and the like, so as to determine the gas reservoir parameters such as the permeability, the recoverable reserve, the skin coefficient, the final recoverable reserve and the like. Moreover, the software has wide application range and is suitable for various oil reservoirs and various production conditions.
The apparatuses, modules or units illustrated in the above embodiments may be implemented by a computer chip or an entity, or implemented by a product with certain functions. A typical implementation device is an electronic device, which may be, for example, a personal computer, a laptop computer, a cellular telephone, a camera phone, a smart phone, a personal digital assistant, a media player, a navigation device, an email device, a game console, a tablet computer, a wearable device, or a combination of any of these devices.
In a typical example, the electronic device specifically includes a memory, a processor, and a computer program stored on the memory and executable on the processor, and the processor executes the program to implement the steps of the numerical simulation-based single-well model size determination method, the steps including:
step 100: acquiring production data of a target single well;
step 200: establishing a Blasingeam model, an Agarwal-Gardner model, an NPI model and a Wattenbarger model of the target single well according to the production data;
step 300: and determining the single well model size of the target single well according to the Blasinamee model, the Agarwal-Gardner model, the NPI model and the Wattenbarger model.
Referring now to FIG. 12, shown is a schematic diagram of an electronic device 600 suitable for use in implementing embodiments of the present application.
As shown in fig. 12, the electronic apparatus 600 includes a Central Processing Unit (CPU) 601 that can perform various appropriate works and processes according to a program stored in a Read Only Memory (ROM) 602 or a program loaded from a storage section 608 into a Random Access Memory (RAM)) 603. In the RAM603, various programs and data necessary for the operation of the system 600 are also stored. The CPU601, ROM602, and RAM603 are connected to each other via a bus 604. An input/output (I/O) interface 605 is also connected to bus 604.
The following components are connected to the I/O interface 605: an input portion 606 including a keyboard, a mouse, and the like; an output portion 607 including a display such as a Cathode Ray Tube (CRT), a Liquid Crystal Display (LCD), and the like, and a speaker; a storage section 608 including a hard disk and the like; and a communication section 609 including a network interface card such as a LAN card, a modem, or the like. The communication section 609 performs communication processing via a network such as the internet. The driver 610 is also connected to the I/O interface 605 as needed. A removable medium 611 such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, or the like is mounted on the drive 610 as necessary, so that a computer program read out therefrom is mounted as necessary on the storage section 608.
In particular, the processes described above with reference to the flowcharts may be implemented as a computer software program according to an embodiment of the present invention. For example, an embodiment of the present invention includes a computer-readable storage medium having stored thereon a computer program that, when executed by a processor, performs the steps of the numerical simulation-based single well model sizing method described above, the steps comprising:
step 100: acquiring production data of a target single well;
step 200: establishing a Blasingeam model, an Agarwal-Gardner model, an NPI model and a Wattenbarger model of the target single well according to the production data;
step 300: and determining the single-well model size of the target single well according to the Blasinname model, the Agarwal-Gardner model, the NPI model and the Wattenbarger model.
In such an embodiment, the computer program may be downloaded and installed from a network through the communication section 609 and/or installed from the removable medium 611.
Computer-readable media, including both non-transitory and non-transitory, removable and non-removable media, may implement information storage by any method or technology. The information may be computer readable instructions, data structures, modules of a program, or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), static Random Access Memory (SRAM), dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), read Only Memory (ROM), electrically Erasable Programmable Read Only Memory (EEPROM), flash memory or other memory technology, compact disc read only memory (CD-ROM), digital Versatile Discs (DVD) or other optical storage, magnetic cassettes, magnetic tape magnetic disk storage or other magnetic storage devices, or any other non-transmission medium that can be used to store information that can be accessed by a computing device. As defined herein, a computer readable medium does not include a transitory computer readable medium such as a modulated data signal and a carrier wave.
For convenience of description, the above devices are described as being divided into various units by function, and are described separately. Of course, the functionality of the units may be implemented in one or more software and/or hardware when implementing the present application.
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.
It should also be noted that the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrases "comprising a," "8230," "8230," or "comprising" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element.
As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application 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 application may be described in the general context of computer-executable instructions, such as program modules, being executed by a computer. Generally, program modules include routines, programs, objects, components, data structures, etc. that perform particular tasks or implement particular abstract data types. The application may also be practiced in distributed computing environments where tasks are performed by remote processing devices that are linked through a communications network. In a distributed computing environment, program modules may be located in both local and remote computer storage media including memory storage devices.
The embodiments in the present specification are described in a progressive manner, and the same and similar parts among the embodiments are referred to each other, and each embodiment focuses on the differences from the other embodiments. In particular, for the system embodiment, since it is substantially similar to the method embodiment, the description is simple, and for the relevant points, reference may be made to the partial description of the method embodiment.
The above description is only an example of the present application and is not intended to limit the present application. Various modifications and changes may occur to those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application should be included in the scope of the claims of the present application.
Claims (10)
1. A single-well model size determination method based on numerical simulation is characterized by comprising the following steps:
acquiring production data of a target single well;
establishing a Blasingeam model, an Agarwal-Gardner model, an NPI model and a Wattenbarger model of the target single well according to the production data;
and determining the single-well model size of the target single well according to the Blasinname model, the Agarwal-Gardner model, the NPI model and the Wattenbarger model.
2. A method for single well model sizing based on numerical simulation as claimed in claim 1, wherein said obtaining production data for a target single well comprises: acquiring production data of the target single well in the initial production stage, production data of the oil formation stage and generation data of the pressure recovery stage;
the production data includes: production flow, cumulative production, date and time of production, wellhead pressure, bottom hole flow pressure, and perforation depth, casing size depth, porosity, permeability, saturation, conductivity, effective thickness, and wellhead temperature.
3. A method for single-well model size determination based on numerical simulation according to claim 2, wherein the single-well model size determination of the target single well according to the blusingem model, the Agarwal-Gardner model, the NPI model and the waterenbarger model comprises:
calculating the arithmetic mean of the dynamic reserves of the target single well according to the Blasinname model, the Agarwal-Gardner model, the NPI model and the Wattenbarger model;
and determining the single-well model size of the target single well according to the arithmetic mean.
4. A method for single-well model size determination based on numerical simulation as defined in claim 3, wherein the determining the single-well model size of the target single well from the arithmetic mean comprises:
and determining the single well model size of the target single well according to the arithmetic mean, the porosity, the oil saturation and the residual oil saturation of the target single well.
5. A single well model sizing device based on numerical simulation, comprising:
the production data acquisition module is used for acquiring the production data of the target single well;
the model establishing module is used for establishing a Blasingeam model, an Agarwal-Gardner model, an NPI model and a Wattenbarger model of the target single well according to the production data;
and the model size determining module is used for determining the single well model size of the target single well according to the Blasingeam model, the Agarwal-Gardner model, the NPI model and the Wattenbarger model.
6. The numerical simulation-based single well model size determining apparatus of claim 5, wherein the production data obtaining module is specifically configured to obtain production data of the target single well in an early production period, production data of an oil formation period, and generation data of a pressure recovery stage;
the production data includes: production flow, cumulative production, date and time of production, wellhead pressure, bottom hole flow pressure, and perforation depth, casing size depth, porosity, permeability, saturation, conductivity, effective thickness, and wellhead temperature.
7. A numerical simulation-based single well model sizing device as defined in claim 6, wherein the model sizing module comprises:
the arithmetic mean calculating unit is used for calculating the arithmetic mean of the dynamic reserves of the target single well according to the Blasinname model, the Agarwal-Gardner model, the NPI model and the Wattenbarger model;
and the model size determining unit is used for determining the single-well model size of the target single well according to the arithmetic mean.
8. The numerical simulation-based single-well model size determination apparatus of claim 7, wherein the model size determination unit is specifically configured to determine the single-well model size of the target single well based on the arithmetic mean, the porosity, the oil saturation, and the residual oil saturation of the target single well.
9. An electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor when executing the program performs the steps of the method for single well model sizing based on numerical simulation of any of claims 1 to 4.
10. A computer-readable storage medium, on which a computer program is stored which, when being executed by a processor, carries out the steps of the method for single-well model sizing based on numerical simulation of any one of claims 1 to 4.
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| CN117930347A (en) * | 2024-03-21 | 2024-04-26 | 西南石油大学 | Gas reservoir water invasion identification method, system, equipment and storage medium |
| CN117930347B (en) * | 2024-03-21 | 2024-06-07 | 西南石油大学 | Gas reservoir water invasion identification method, system, equipment and storage medium |
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