CN116384166B - Gas reservoir gas injection extraction and collaborative database establishment optimization method, system, equipment and medium - Google Patents
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Abstract
The invention belongs to the technical field of gas reservoir development optimization, and particularly relates to a gas reservoir gas injection extraction and collaborative reservoir establishment optimization method, a system, equipment and a medium, which comprise the following steps: constructing a gas reservoir mining field level numerical simulation model; inputting the conversion time and engineering parameters of gas injection extraction and reconstruction gas storage processes; according to the target to be obtained by each sub-process, a single-target whole-process optimization sub-model is established, and an intelligent optimization algorithm is adopted to call a numerical simulation model, so that an optimization target value of each sub-model is obtained; synthesizing optimization targets of a plurality of sub-processes, and constructing a whole process cooperative target function; presetting iteration optimizing times, and calling a numerical simulation model by adopting an intelligent optimization algorithm to obtain the whole process collaborative objective function values under different conversion occasions and engineering parameter combinations; and (3) finishing iterative optimization to obtain the corresponding combination of the conversion time and the engineering parameter when the whole process cooperative objective function is maximum. The invention realizes the accurate optimization of multiple processes and targets in the gas reservoir development, and provides powerful support for guiding the gas reservoir development.
Description
Technical Field
The invention belongs to the technical field of gas reservoir development optimization, and particularly relates to a gas reservoir gas injection extraction and collaborative reservoir building optimization method, a system, equipment and a medium.
Background
Natural gas is an important strategic resource for maintaining the energy safety of China, is a hydrocarbon and low-carbon energy, and is cleaner and more efficient compared with traditional energy sources such as coal, petroleum and the like; at present, most natural gas reservoirs are developed by failure at the beginning, however, formation energy deficiency is serious, energy supplement is needed to maintain production, gas injection and extraction is considered as a reasonable and effective take-over technology, and reasonable injection and extraction parameters in the gas injection process are determined as a precondition for realizing economic and effective development of the natural gas reservoirs; on the other hand, determining engineering parameters of the gas storage is a basis for realizing safe and effective operation of the gas storage, so that the engineering parameters in the gas storage gas injection extraction and reconstruction process need to be determined to guide economic, safe and efficient development of the natural gas storage.
Determining engineering parameters in the gas reservoir development process by adopting an analogy method or optimizing with one target, wherein differences exist among blocks, and a single target can be pursued on one side, so that good development effect can not be obtained; the optimization is carried out by adopting multiple targets, so that the dimension inconsistency among the targets can occur, the convergence of the optimization process is poor, and the reliability of the result is poor; the gas injection extraction in the gas reservoir development needs to meet the maximization of economy and exploitation capability, the gas reservoir construction needs to meet the maximization of safety and working capability, new requirements are put on the determination of working parameters in the process, and currently, an optimization method considering multi-process and multi-target coordination in the gas reservoir development is not seen, so that the development decision of the whole process of the gas reservoir development cannot be realized.
Disclosure of Invention
The invention aims to solve the technical problem of providing a gas reservoir gas injection extraction and collaborative database construction optimization method, a system, equipment and a medium, so as to solve the problem that in the prior gas reservoir development, multiple processes and multiple targets lack accurate optimization, so that the gas reservoir development is guided to lack powerful support.
The basic scheme provided by the invention is as follows: the gas reservoir gas injection extraction and collaborative reservoir establishment optimization method comprises the following steps:
s1: obtaining modeling data of a target gas reservoir, and constructing a numerical simulation model of the target gas reservoir mine level;
s2: inputting the conversion time and engineering parameters of the gas reservoir gas injection, gas extraction and gas reservoir reconstruction process in the numerical simulation model;
s3: dividing a gas reservoir gas injection extraction process and a gas reservoir reconstruction process into a plurality of subprocesses, establishing a single-target whole-process optimization subprocess model of each subprocess according to the target to be obtained by each subprocess, and calling the numerical simulation model through an intelligent optimization algorithm to generate an optimization target value of the single-target whole-process optimization subprocess model;
s4: constructing a whole process cooperative objective function according to the optimization objective, the corresponding weight and the optimization objective value of each sub-process;
s5: presetting iteration optimizing times, and calling the numerical simulation model through an intelligent optimization algorithm to obtain the objective function values of the whole process system under the combination of different conversion opportunities and engineering parameters until the iteration optimizing is completed, so as to obtain the corresponding combination of the conversion opportunities and the engineering parameters when the whole process cooperative objective function is maximum.
Further, the modeling data in the S1 comprises geological development data, production dynamic characteristics and well pattern information;
the geological development data comprise gas reservoir burial depth, a porosity field, a permeability field, a saturation field, a net-hair ratio field, a temperature field, a pressure field, a gas composition, formation water characteristics, rock characteristics and a relative permeability curve;
the production dynamic characteristics comprise daily gas production, daily water production and bottom hole pressure conditions;
the well pattern information includes the number of wells, the type of well, well location coordinates, and the working regimen of each well.
Further, the conversion time in the S2 is the stratum pressure of the target gas reservoir converted from the gas injection extraction process to the gas storage reconstruction process;
engineering parameters of gas reservoir gas injection and extraction include: gas injection rate, injection pressure, and production rate;
engineering parameters of the gas reservoir rebuilding process include: well pattern information, gas injection rate, gas injection time, upper pressure, operating pressure, gas production rate, gas production time, and lower pressure.
Further, the targets required to be obtained according to each sub-process in S3 include: the method comprises the steps of (1) obtaining a target in the gas reservoir gas injection, extraction and recovery process and obtaining the target in the gas reservoir reconstruction and gas reservoir reconstruction process;
the targets to be obtained in the gas reservoir gas injection, extraction and production process comprise: the total amount of the produced natural gas is the largest and the economic net present value is the largest;
the targets to be obtained in the process of reconstructing the gas reservoir include: the gas storage amount of the gas storage is the largest and the gas well injection and gas production capacity is the largest;
the optimization target values of the single-target whole-process optimization sub-model comprise: maximum production of natural gasG max Maximum economic net present valueNPV max Maximum gas storage amount of gas storageQ max Maximum gas well working gas volumeQ pmax 。
Further, in S4, the overall process cooperative objective function specifically includes:
wherein ,is the specific weight of the natural gas yield,Gfor natural gas production with different parameter combinations, < > for>For the specific weight of the economic net present value,NPVfor the economic net present value under different parameter combinations, < ->The specific gravity of the gas storage amount of the gas storage,Qfor gas reservoirs under different combinations of parametersAir storage capacity->The specific gravity of the gas well working gas,Q p and combining the working gas volumes of the gas well for different parameters.
Gas reservoir gas injection, extraction and collaborative database establishment optimizing system comprises:
the numerical simulation model building module: the method comprises the steps of obtaining modeling data of a target gas reservoir, and constructing a numerical simulation model of a target gas reservoir mine level;
an input module: inputting the conversion time and engineering parameters of the gas reservoir gas injection, gas extraction and gas reservoir reconstruction process in the numerical simulation model; the switching time is the stratum pressure of the target gas reservoir from the gas injection and extraction process to the gas storage reconstruction process;
engineering parameters of gas reservoir gas injection and extraction include: gas injection rate, injection pressure, and production rate;
engineering parameters of the gas reservoir rebuilding process include: well pattern information, gas injection speed, gas injection time, upper limit pressure, operating pressure, gas production speed, gas production time and lower limit pressure;
a single-target whole-process optimization sub-model construction module: dividing a gas reservoir gas injection extraction process and a gas reservoir reconstruction process into a plurality of subprocesses, and establishing a single-target whole process optimization subprocess model of each subprocess according to targets required to be acquired by each subprocess; the targets required to be obtained by each sub-process comprise: the method comprises the steps of (1) obtaining a target in the gas reservoir gas injection, extraction and recovery process and obtaining the target in the gas reservoir reconstruction and gas reservoir reconstruction process;
a single-target whole-process optimization sub-model calculation module: the method comprises the steps of calling the numerical simulation model by adopting an intelligent optimization algorithm to generate an optimization target value of a single-target whole-process optimization sub-model;
the whole process cooperative objective function construction module: constructing a whole process cooperative objective function according to the optimization objective, the corresponding weight and the optimization objective value of each sub-process;
and (5) an iterative optimizing module: presetting iterative optimization times; the iterative optimization module is used for calling the numerical simulation model through an intelligent optimization algorithm to obtain the objective function value of the whole process system under the combination of different conversion occasions and engineering parameters until the iterative optimization is completed, and the corresponding combination of the conversion occasions and the engineering parameters when the whole process cooperative objective function is maximum is obtained.
Further, the overall process cooperative objective function is specifically:
wherein ,is the specific weight of the natural gas yield,Gfor natural gas production with different parameter combinations, < > for>For the specific weight of the economic net present value,NPVfor the economic net present value under different parameter combinations, < ->The specific gravity of the gas storage amount of the gas storage,Qfor the gas storage capacity of the gas storage under different parameter combinations, < > for the gas storage under different parameter combinations>The specific gravity of the gas well working gas,Q p and combining the working gas volumes of the gas well for different parameters.
An electronic device comprising a memory for storing a computer program and a processor for running the computer program and performing the gas reservoir injection gas extraction and collaborative database optimization method as described above.
A computer readable storage medium storing a computer program which when executed by a processor implements the gas reservoir gas injection extraction and collaborative database optimization method described above.
The principle and the advantages of the invention are as follows: the invention discloses a gas reservoir gas injection extraction and collaborative database establishment optimization method, a system, equipment and a medium, which comprise the following steps: constructing a target gas reservoir mining field level numerical simulation model; inputting the conversion time and engineering parameters of gas injection extraction and reconstruction gas storage processes; according to the target to be obtained by each sub-process, a single-target whole-process optimization sub-model is established, and an intelligent optimization algorithm is adopted to call the numerical simulation model, so that an optimization target value of each sub-model is obtained; synthesizing a plurality of optimization targets of different types, and constructing a whole-process cooperative objective function; presetting iterative optimization times, and calling the numerical simulation model by adopting an intelligent optimization algorithm to obtain the whole-process collaborative objective function values under the combination of different conversion opportunities and engineering parameters; and (3) finishing iterative optimization to obtain the corresponding combination of the conversion time and the engineering parameter when the whole process cooperative objective function is maximum. The invention realizes the accurate optimization of multiple processes and multiple targets in the gas reservoir development, provides powerful support for guiding the gas reservoir development, and realizes the development decision of the whole gas reservoir development process.
Drawings
FIG. 1 is a flow chart of an embodiment of the present invention;
FIG. 2 is a schematic diagram of a numerical simulation model of a target gas reservoir mining site level in accordance with an embodiment of the present invention;
FIG. 3 is a schematic diagram of optimizing dynamic with the aim of producing the maximum amount of natural gas according to the embodiment of the invention;
FIG. 4 is a schematic diagram of optimizing dynamic with the maximum economic net present value as the target according to an embodiment of the present invention;
FIG. 5 is a schematic diagram of optimizing dynamic with maximum gas storage capacity of a gas storage tank according to an embodiment of the present invention;
FIG. 6 is a schematic diagram of optimizing dynamics with maximum gas well gas flow as a target in an embodiment of the present invention;
FIG. 7 is a schematic diagram of optimizing dynamics with the overall process collaborative objective function maximum as the objective according to an embodiment of the present invention;
fig. 8 is a functional block diagram of an embodiment of the present invention.
Detailed Description
The following is a further detailed description of the embodiments:
an example is substantially as shown in figure 1: the gas reservoir gas injection extraction and collaborative reservoir establishment optimization method comprises the following steps:
s1: obtaining modeling data of a target gas reservoir, and constructing a numerical simulation model of the target gas reservoir mine level;
in this embodiment, the modeling data includes geological development data, production dynamics, and well pattern information, where the geological development data includes gas reservoir burial depths, porosity fields, permeability fields, saturation fields, net-hair ratio fields, temperature fields, pressure fields, gas composition, formation water characteristics, rock characteristics, and relative permeability curves; the production dynamic characteristics comprise daily gas production, daily water production and bottom hole flow pressure conditions; well pattern information includes the number of wells, the type of well, well location coordinates, and the working regime of each well.
S2: inputting the conversion time and engineering parameters of the gas reservoir gas injection, gas extraction and gas reservoir reconstruction process in the numerical simulation model;
in the embodiment, the switching time is the stratum pressure of the target gas reservoir from the gas injection and extraction process to the gas reservoir reconstruction process; engineering parameters of gas reservoir gas injection and extraction include: gas injection rate, injection pressure, and production rate; engineering parameters of the gas reservoir rebuilding process include: well pattern information, gas injection rate, gas injection time, upper pressure, operating pressure, gas production rate, gas production time, and lower pressure.
S3: dividing a gas reservoir gas injection extraction process and a gas reservoir reconstruction process into a plurality of subprocesses, establishing a single-target whole-process optimization subprocess model of each subprocess according to the target to be obtained by each subprocess, and calling the numerical simulation model through an intelligent optimization algorithm to generate an optimization target value of the single-target whole-process optimization subprocess model;
in this embodiment, the targets required to be obtained according to each sub-process in S3 include: the method comprises the steps of (1) obtaining a target in the gas reservoir gas injection, extraction and recovery process and obtaining the target in the gas reservoir reconstruction and gas reservoir reconstruction process; the targets to be obtained in the gas reservoir gas injection, extraction and production process comprise: the total amount of the produced natural gas is the largest and the economic net present value is the largest; the targets to be obtained in the process of reconstructing the gas reservoir include: the gas storage amount of the gas storage is the largest and the gas well injection and gas production capacity is the largest; the optimization target value of the single-target whole process optimization sub-model comprises the following steps: maximum production of natural gasG max Maximum economic net present valueNPV max Maximum gas storage amount of gas storageQ max Maximum gas well working gas volumeQ pmax 。
S4: constructing a whole process cooperative objective function according to the optimization objective, the corresponding weight and the optimization objective value of each sub-process; the whole process cooperative objective function specifically comprises the following steps:
wherein ,is the specific weight of the natural gas yield,Gfor natural gas production with different parameter combinations, < > for>For the specific weight of the economic net present value,NPVfor the economic net present value under different parameter combinations, < ->The specific gravity of the gas storage amount of the gas storage,Qfor the gas storage capacity of the gas storage under different parameter combinations, < > for the gas storage under different parameter combinations>The specific gravity of the gas well working gas,Q p and combining the working gas volumes of the gas well for different parameters.
S5: presetting iteration optimizing times, and calling the numerical simulation model through an intelligent optimization algorithm to obtain the objective function values of the whole process system under the combination of different conversion opportunities and engineering parameters until the iteration optimizing is completed, so as to obtain the corresponding combination of the conversion opportunities and the engineering parameters when the whole process cooperative objective function is maximum.
In this embodiment, the intelligent optimization algorithm is a bayesian adaptive direct search algorithm, and in other embodiments of this embodiment, other optimization algorithms may be used.
The gas reservoir gas injection extraction and collaborative database construction optimization method provided by the embodiment of the invention is described below by combining a specific example, and specific practical application is developed by taking a practical failure development production block of a certain gas field as an example.
Acquiring logging curve data of an actual development block, and generating a porosity, permeability, net-to-gross ratio and effective thickness field of the actual development block through phase control attribute modeling; inputting rock attribute data, gas composition information and a relative permeability curve of an actual block; and acquiring daily gas production, daily water production and well position information data of the actual production well, and completing the construction of a target gas reservoir mine series value simulation model. The gas composition information is shown in table 1, the numerical simulation model of the mine level is shown in fig. 2, and the number with letters in fig. 2 indicates the actual production well name of the target gas reservoir.
TABLE 1 gas composition information Table
Sub-process 1: optimizing the conversion time and engineering parameters in the gas reservoir gas injection extraction and reconstruction process by taking the maximum total amount of the produced natural gas as a target, and obtaining the maximum natural gas yield which can be obtained by the optimal conversion time and engineering parametersG max 5.06 hundred million prescriptions. The process of optimizing the total amount of the produced natural gas is shown in figure 3.
Sub-process 2: optimizing the conversion time and engineering parameters in the gas reservoir gas injection extraction and reconstruction process by taking the maximum economic net present value as a target to obtain the maximum economic net present value which can be obtained by the optimal conversion time and engineering parametersNPV max 4765.84 ten thousand yuan. The process of optimizing the maximum economic net present value is shown in figure 4.
Sub-process 3: optimizing the conversion time and engineering parameters in the gas injection, extraction and reconstruction process of the gas reservoir by taking the maximum gas storage amount of the gas reservoir as a target to obtain the maximum gas storage amount of the gas reservoir, wherein the maximum gas storage amount can be obtained by the optimal conversion time and engineering parametersQ max 4.98 hundred million prescriptions. The process of optimizing the maximum gas storage capacity of the gas storage is shown in figure 5.
Sub-process 4: at maximum gas well working gas volumeThe method comprises the steps of optimizing conversion time and engineering parameters in the gas reservoir gas injection extraction and reconstruction process to obtain the maximum gas well working gas volume which can be obtained by the optimal conversion time and engineering parametersQ pmax 4.88 square. The gas well working gas volume maximum optimizing process is shown in figure 6.
The overall process cooperative objective function is established based on the target values obtained by the subprocesses as follows:
setting the maximum iterative optimizing times as 200 times, and completing the determination of the optimal conversion time and engineering parameters in the gas reservoir gas injection extraction and reconstruction process by taking the maximum of the whole process collaborative objective function as an optimizing target. The overall process cooperative objective function is as shown at maximum in fig. 7.
Based on the description, compared with the prior art, the gas reservoir gas injection extraction and collaborative database establishment optimization method provided by the invention has the following advantages:
1. according to the method, the dimension among the targets is unified by constructing the whole-process collaborative objective function, the robustness of the multi-target optimization problem is improved, the convergence in the optimization algorithm solving process is further improved, and the optimization result is more accurate.
2. When the gas reservoir gas injection extraction and collaborative reservoir establishment optimization problem is established, the extraction degree and the economy in the gas reservoir gas injection extraction process are considered, and the safety and the maximum production capacity of the gas reservoir establishment are considered. Not only realizes the cooperation of multiple processes, but also realizes the cooperation of multiple targets in the process, and provides powerful support for guiding the development of gas reservoirs.
As shown in fig. 8, in another embodiment of the present embodiment, the system further includes a gas reservoir gas injection extraction and collaborative database optimization system, including:
the numerical simulation model building module: the method comprises the steps of obtaining modeling data of a target gas reservoir, and constructing a numerical simulation model of a target gas reservoir mine level;
an input module: inputting the conversion time and engineering parameters of the gas reservoir gas injection, gas extraction and gas reservoir reconstruction process in the numerical simulation model; the switching time is the stratum pressure of the target gas reservoir from the gas injection and extraction process to the gas storage reconstruction process;
engineering parameters of gas injection and extraction of the gas reservoir comprise: gas injection rate, injection pressure, and production rate;
engineering parameters of the gas reservoir reconstruction process comprise: well pattern information, gas injection speed, gas injection time, upper limit pressure, operating pressure, gas production speed, gas production time and lower limit pressure;
a single-target whole-process optimization sub-model construction module: dividing a gas reservoir gas injection extraction process and a gas reservoir reconstruction process into a plurality of subprocesses, and establishing a single-target whole process optimization subprocess model of each subprocess according to targets required to be acquired by each subprocess; the targets required to be obtained by each sub-process comprise: the method comprises the steps of (1) obtaining a target in the gas reservoir gas injection, extraction and recovery process and obtaining the target in the gas reservoir reconstruction and gas reservoir reconstruction process;
a single-target whole-process optimization sub-model calculation module: the method comprises the steps of calling the numerical simulation model by adopting an intelligent optimization algorithm to generate an optimization target value of a single-target whole-process optimization sub-model;
the whole process cooperative objective function construction module: constructing a whole process cooperative objective function according to the optimization objective, the corresponding weight and the optimization objective value of each sub-process; the whole process cooperative objective function specifically comprises the following steps:
wherein ,is the specific weight of the natural gas yield,Gfor natural gas production with different parameter combinations, < > for>For the specific weight of the economic net present value,NPVfor the economic net present value under different parameter combinations, < ->The specific gravity of the gas storage amount of the gas storage,Qfor the gas storage capacity of the gas storage under different parameter combinations, < > for the gas storage under different parameter combinations>The specific gravity of the gas well working gas,Q p gas well working gas volumes are combined for different parameters;
and (5) an iterative optimizing module: presetting iterative optimization times; the iterative optimization module is used for calling the numerical simulation model through an intelligent optimization algorithm to obtain the objective function value of the whole process system under the combination of different conversion occasions and engineering parameters until the iterative optimization is completed, and the corresponding combination of the conversion occasions and the engineering parameters when the whole process cooperative objective function is maximum is obtained.
In another embodiment of the present embodiment, an electronic device further includes a memory and a processor, where the memory is configured to store a computer program, and the processor is configured to run the computer program and execute the gas reservoir gas injection extraction and collaborative database creation optimization method described in the present embodiment.
Alternatively, the electronic device may be a server.
In another embodiment of the present embodiment, a computer readable storage medium is further included, storing a computer program that when executed by a processor implements the gas reservoir gas injection gas extraction and collaborative database creation optimization method of the present embodiment.
The foregoing is merely exemplary of the present invention, and the specific structures and features well known in the art are not described in any way herein, so that those skilled in the art will be able to ascertain all prior art in the field, and will not be able to ascertain any prior art to which this invention pertains, without the general knowledge of the skilled person in the field, before the application date or the priority date, to practice the present invention, with the ability of these skilled persons to perfect and practice this invention, with the help of the teachings of this application, with some typical known structures or methods not being the obstacle to the practice of this application by those skilled in the art. It should be noted that modifications and improvements can be made by those skilled in the art without departing from the structure of the present invention, and these should also be considered as the scope of the present invention, which does not affect the effect of the implementation of the present invention and the utility of the patent. The protection scope of the present application shall be subject to the content of the claims, and the description of the specific embodiments and the like in the specification can be used for explaining the content of the claims.
Claims (7)
1. The optimization method for gas injection, gas extraction and collaborative database construction of the gas reservoir is characterized by comprising the following steps: comprising the following steps:
s1: obtaining modeling data of a target gas reservoir, and constructing a numerical simulation model of the target gas reservoir mine level;
s2: inputting the conversion time and engineering parameters of the gas reservoir gas injection, gas extraction and gas reservoir reconstruction process in the numerical simulation model;
s3: dividing a gas reservoir gas injection extraction process and a gas reservoir reconstruction process into a plurality of subprocesses, establishing a single-target whole-process optimization subprocess model of each subprocess according to the target to be obtained by each subprocess, and calling the numerical simulation model through an intelligent optimization algorithm to generate an optimization target value of the single-target whole-process optimization subprocess model;
s4: constructing a whole process cooperative objective function according to the optimization objective, the corresponding weight and the optimization objective value of each sub-process;
s5: presetting iteration optimizing times, and calling the numerical simulation model through an intelligent optimization algorithm to obtain the objective function values of the whole process system under the combination of different conversion opportunities and engineering parameters until the iteration optimizing is completed, so as to obtain the corresponding combination of the conversion opportunities and the engineering parameters when the whole process cooperative objective function is maximum;
in the step S4, the whole process cooperative objective function specifically comprises the following steps:
wherein ,is the specific weight of the natural gas yield,Gfor natural gas production with different parameter combinations, < > for>For the specific weight of the economic net present value,NPVfor the economic net present value under different parameter combinations, < ->The specific gravity of the gas storage amount of the gas storage,Qfor the gas storage capacity of the gas storage under different parameter combinations, < > for the gas storage under different parameter combinations>The specific gravity of the gas well working gas,Q p and combining the working gas volumes of the gas well for different parameters.
2. The gas reservoir gas injection extraction and collaborative banking optimization method according to claim 1, characterized in that: the modeling data in the S1 comprises geological development data, production dynamic characteristics and well pattern information;
the geological development data comprise gas reservoir burial depth, a porosity field, a permeability field, a saturation field, a net-hair ratio field, a temperature field, a pressure field, a gas composition, formation water characteristics, rock characteristics and a relative permeability curve;
the production dynamic characteristics comprise daily gas production, daily water production and bottom hole pressure conditions;
the well pattern information includes the number of wells, the type of well, well location coordinates, and the working regimen of each well.
3. The gas reservoir gas injection extraction and collaborative banking optimization method according to claim 1, characterized in that: the conversion time in the S2 is the stratum pressure of the target gas reservoir converted from the gas injection and extraction process to the gas reservoir reconstruction process;
engineering parameters of gas reservoir gas injection and extraction include: gas injection rate, injection pressure, and production rate;
engineering parameters of the gas reservoir rebuilding process include: well pattern information, gas injection rate, gas injection time, upper pressure, operating pressure, gas production rate, gas production time, and lower pressure.
4. The gas reservoir gas injection extraction and collaborative banking optimization method according to claim 1, characterized in that: the targets required to be obtained according to each sub-process in S3 include: the method comprises the steps of (1) obtaining a target in the gas reservoir gas injection, extraction and recovery process and obtaining the target in the gas reservoir reconstruction and gas reservoir reconstruction process;
the targets to be obtained in the gas reservoir gas injection, extraction and production process comprise: the total amount of the produced natural gas is the largest and the economic net present value is the largest;
the targets to be obtained in the process of reconstructing the gas reservoir include: the gas storage amount of the gas storage is the largest and the gas well injection and gas production capacity is the largest;
the optimization target values of the single-target whole-process optimization sub-model comprise: maximum production of natural gasG max Maximum economic net present valueNPV max Maximum gas storage amount of gas storageQ max Maximum gas well working gas volumeQ pmax 。
5. The gas reservoir gas injection, extraction and collaborative database building optimization system is characterized in that: comprising the following steps:
the numerical simulation model building module: the method comprises the steps of obtaining modeling data of a target gas reservoir, and constructing a numerical simulation model of a target gas reservoir mine level;
an input module: inputting the conversion time and engineering parameters of the gas reservoir gas injection, gas extraction and gas reservoir reconstruction process in the numerical simulation model; the switching time is the stratum pressure of the target gas reservoir from the gas injection and extraction process to the gas storage reconstruction process;
engineering parameters of gas reservoir gas injection and extraction include: gas injection rate, injection pressure, and production rate;
engineering parameters of the gas reservoir rebuilding process include: well pattern information, gas injection speed, gas injection time, upper limit pressure, operating pressure, gas production speed, gas production time and lower limit pressure;
a single-target whole-process optimization sub-model construction module: dividing a gas reservoir gas injection extraction process and a gas reservoir reconstruction process into a plurality of subprocesses, and establishing a single-target whole process optimization subprocess model of each subprocess according to targets required to be acquired by each subprocess; the targets required to be obtained by each sub-process comprise: the method comprises the steps of (1) obtaining a target in the gas reservoir gas injection, extraction and recovery process and obtaining the target in the gas reservoir reconstruction and gas reservoir reconstruction process;
a single-target whole-process optimization sub-model calculation module: the method comprises the steps of calling the numerical simulation model by adopting an intelligent optimization algorithm to generate an optimization target value of a single-target whole-process optimization sub-model;
the whole process cooperative objective function construction module: constructing a whole process cooperative objective function according to the optimization objective, the corresponding weight and the optimization objective value of each sub-process;
and (5) an iterative optimizing module: presetting iterative optimization times; the iterative optimization module is used for calling the numerical simulation model through an intelligent optimization algorithm to obtain the objective function value of the whole process system under the combination of different conversion occasions and engineering parameters until the iterative optimization is completed, and obtaining the corresponding combination of the conversion occasions and the engineering parameters when the whole process cooperative objective function is maximum;
the whole process cooperative objective function specifically comprises the following steps:
wherein ,is the specific weight of the natural gas yield,Gfor natural gas production with different parameter combinations, < > for>For the specific weight of the economic net present value,NPVfor the economic net present value under different parameter combinations, < ->The specific gravity of the gas storage amount of the gas storage,Qfor the gas storage capacity of the gas storage under different parameter combinations, < > for the gas storage under different parameter combinations>The specific gravity of the gas well working gas,Q p and combining the working gas volumes of the gas well for different parameters.
6. An electronic device, characterized in that: comprising a memory for storing a computer program and a processor for running the computer program and performing the gas reservoir injection gas production and collaborative database optimization method of any of claims 1-4.
7. A computer-readable storage medium, characterized by: a computer program stored which, when executed by a processor, implements a gas reservoir gas injection extraction and collaborative database optimization method according to any one of claims 1-4.
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