Compressed air energy storage reservoir injection-production parameter optimization method and device, electronic equipment and storage medium

Abstract

The embodiment of the invention discloses a compressed air energy storage reservoir injection-production parameter optimization method and device, electronic equipment and a storage medium. The method comprises the steps that multi-round injection and production simulation experiments are conducted on an exhausted oil and gas reservoir energy storage reservoir stratum, and the corresponding relation between the permeability of the exhausted oil and gas reservoir energy storage reservoir stratum and the injection and production pressure difference under the multi-round injection and production condition is determined; constructing a single-well seepage model, and enabling gas to radially flow into a well bottom to determine a corresponding relation between the formation yield and permeability of the energy storage reservoir of the exhausted oil and gas reservoir; according to the corresponding relation between the permeability and the injection-production pressure difference and the corresponding relation between the yield and the permeability, the corresponding relation between the yield and the injection-production pressure difference is determined; and according to the corresponding relation between the yield and the injection-production pressure difference, the target injection-production pressure difference when the yield of the energy storage reservoir stratum of the exhausted oil and gas reservoir is maximum is determined, and optimization control is conducted on the target injection-production pressure difference. By adopting the scheme, the productivity of the energy storage reservoir stratum of the depleted oil and gas reservoir can be effectively determined.

Description

Technical Field

[0001] The embodiments of the present invention relate to the technical field of underground engineering of compressed air energy storage reservoirs, and in particular to a method, device, electronic equipment and storage medium for optimizing injection and production parameters of compressed air energy storage reservoirs. Background Art

[0002] In addition to pumped storage, compressed air storage is a storage method that can be used in large-scale industrial applications. Based on the actual situation of oil fields, the use of depleted oil and gas reservoirs to reconstruct energy storage can reduce the electricity cost of oil and gas fields and improve production efficiency.

[0003] Compressed air energy storage reservoirs have the characteristics of "large intake and discharge, injection and production alternation, and high-pressure operation". The gas volume of single-well injection and production and surface pipeline gathering and transportation is much higher than that of gas field development, and the injection and production gas volume fluctuates greatly, which places high requirements on the sealing of the cap rock, the adaptability to the high-frequency injection and production system, and the safety of the injection and production string. Due to the frequent periodic injection and production of compressed air energy storage reservoirs, basically one injection and production cycle per day, the periodic fluctuation of the reservoir pore pressure will cause irreversible effects and damage to the pore roar of the reservoir rock, thereby affecting the energy storage of the gas reservoir energy storage reservoir.

[0004] Therefore, how to optimize the injection and production parameters of compressed air energy storage is a technical problem that needs to be solved urgently by technical personnel in this field. Summary of the invention

[0005] The embodiments of the present invention provide a method, device, electronic device and storage medium for optimizing the injection and production parameters of a compressed air energy storage reservoir, so as to effectively determine the production capacity of the energy storage reservoir in a high-frequency and high-intensity working mode, and provide theoretical support and technical guidance for the safe and efficient operation of the energy storage reservoir.

[0006] In a first aspect, an embodiment of the present invention provides a method for optimizing injection and production parameters of a compressed air energy storage reservoir, comprising:

[0007] Conduct multiple rounds of injection-production simulation experiments on the depleted oil and gas reservoir reservoir formation to determine the corresponding relationship between the depleted oil and gas reservoir reservoir formation permeability and the injection-production production pressure difference under multiple rounds of injection-production conditions;

[0008] A single well seepage model is constructed to radially flow gas into the bottom of the well to determine the corresponding relationship between the formation production and permeability of the depleted oil and gas reservoir;

[0009] According to the corresponding relationship between permeability and injection-production pressure difference, and the corresponding relationship between production and permeability, the corresponding relationship between production and injection-production pressure difference is determined;

[0010] According to the corresponding relationship between the production and the injection-production pressure difference, the target injection-production pressure difference when the formation production of the depleted oil and gas reservoir energy storage reservoir is maximum is determined, and the target injection-production pressure difference is optimized and controlled.

[0011] In a second aspect, an embodiment of the present invention further provides a device for optimizing injection and production parameters of a compressed air energy storage reservoir, comprising:

[0012] The first corresponding relationship determination module is used to conduct multiple rounds of injection and production simulation experiments on the depleted oil and gas reservoir energy storage reservoir stratum to determine the corresponding relationship between the permeability of the depleted oil and gas reservoir energy storage reservoir stratum and the injection and production pressure difference under multiple rounds of injection and production conditions;

[0013] The second corresponding relationship determination module is used to construct a single well seepage model, and radially flow the gas into the bottom of the well to determine the corresponding relationship between the production and the permeability;

[0014] A target corresponding relationship determination module is used to determine the corresponding relationship between the production and the injection-production pressure difference according to the corresponding relationship between the permeability and the injection-production pressure difference, and the corresponding relationship between the production and the permeability;

[0015] The injection-production parameter optimization control module is used to determine the target injection-production production differential pressure when the formation production of the depleted oil and gas reservoir energy storage reservoir is maximum based on the corresponding relationship between the formation production of the depleted oil and gas reservoir energy storage reservoir and the injection-production production differential pressure, and optimize the target injection-production production differential pressure.

[0016] In a third aspect, an embodiment of the present invention further provides an electronic device, the electronic device comprising:

[0017] one or more processors;

[0018] A storage device for storing one or more programs;

[0019] When the one or more programs are executed by the one or more processors, the one or more processors implement the method for optimizing injection and production parameters of a compressed air energy storage reservoir as described in any embodiment of the present invention.

[0020] In a fourth aspect, an embodiment of the present invention further provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the method for optimizing injection and production parameters of a compressed air energy storage reservoir as described in any embodiment of the present invention.

[0021] The embodiment of the present invention provides a method, device, electronic device and storage medium for optimizing the injection and production parameters of a compressed air energy storage reservoir. By conducting multiple rounds of injection and production simulation experiments on the formation of a depleted oil and gas reservoir energy storage reservoir, the corresponding relationship between the permeability of the formation of the depleted oil and gas reservoir energy storage reservoir and the injection and production pressure difference under multiple rounds of injection and production conditions is determined; a single well seepage model is constructed, and the gas is radially flowed into the bottom of the well to determine the corresponding relationship between the production and permeability of the formation of the depleted oil and gas reservoir energy storage reservoir; based on the corresponding relationship between the permeability and the injection and production pressure difference, and the corresponding relationship between the production and the permeability, the corresponding relationship between the production and the injection and production pressure difference is determined; based on the corresponding relationship between the production and the injection and production pressure difference, the target injection and production pressure difference is determined when the production of the depleted oil and gas reservoir energy storage reservoir is maximum, and the target injection and production pressure difference is optimized and controlled. By adopting the technical solution of the embodiment of the present invention, in order to solve the problems of complex seepage laws and large changes in reservoir physical properties under high-frequency and high-intensity injection and production conditions of energy storage reservoirs, a seepage model of energy storage reservoirs is established by using the nonlinear seepage theory of high-speed non-Darcy flow; an experimental method is used to simulate the influence of "large intake and discharge, alternating injection and production, and high-pressure operation" of compressed air energy storage reservoirs on the physical properties of reservoir cores; through theoretical derivation and mathematical modeling, a calculation method for reservoir physical properties under the high-frequency and high-intensity working mode of energy storage reservoirs is established; it can effectively optimize the injection and production capacity of compressed air energy storage reservoirs in depleted gas reservoirs, and provide theoretical support and technical guidance for the safe and efficient operation of energy storage reservoirs. BRIEF DESCRIPTION OF THE DRAWINGS

[0022] Other features, objects and advantages of the present invention will become more apparent by reading the detailed description of non-limiting embodiments made with reference to the following drawings. The drawings are only for the purpose of illustrating preferred embodiments and are not to be considered as limiting the present invention. Also, the same reference symbols are used throughout the drawings to represent the same parts. In the drawings:

[0023] Figure 1 It is a flow chart of a method for optimizing injection and production parameters of a compressed air energy storage provided in an embodiment of the present invention;

[0024] Figure 2 It is a structural schematic diagram of a multi-round injection-production simulation experimental model provided in an embodiment of the present invention;

[0025] Figure 3 is a schematic diagram of a permeability change curve provided in an embodiment of the present invention;

[0026] Figure 4 is a schematic diagram of a fitting curve of permeability and injection-production pressure difference provided in an embodiment of the present invention;

[0027] Figure 5 It is a structural schematic diagram of a compressed air energy storage injection and production parameter optimization device provided in an embodiment of the present invention;

[0028] Figure 6 It is a structural schematic diagram of an electronic device provided in an embodiment of the present invention. DETAILED DESCRIPTION

[0029] The present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. It is to be understood that the specific embodiments described herein are only used to explain the present invention, rather than to limit the present invention. It should also be noted that, for ease of description, only parts related to the present invention, rather than all structures, are shown in the accompanying drawings.

[0030] Before discussing the exemplary embodiments in more detail, it should be mentioned that some exemplary embodiments are described as processes or methods depicted as flow charts. Although the flow charts describe the operations (or steps) as sequential processes, many of the operations (or steps) therein can be implemented in parallel, concurrently or simultaneously. In addition, the order of the operations can be rearranged. The process can be terminated when its operation is completed, but can also have additional steps not included in the accompanying drawings. The process can correspond to a method, function, procedure, subroutine, subprogram, etc.

[0031] Among them, the acquisition, storage, use and processing of data in the technical solution of this application are in compliance with the relevant provisions of national laws and regulations.

[0032] Figure 1 This is a flow chart of a method for optimizing the injection and production parameters of a compressed air energy storage reservoir provided in an embodiment of the present invention. This embodiment is applicable to the case of optimizing the injection and production parameters of a compressed air energy storage reservoir. The method of this embodiment can be executed by a compressed air energy storage reservoir injection and production parameter optimization device, which can be implemented in hardware and / or software. The device can be configured in a server for optimizing the injection and production parameters of a compressed air energy storage reservoir. The method specifically includes the following steps:

[0033] S110. Conduct multiple rounds of injection-production simulation experiments on the depleted oil and gas reservoir energy storage reservoir strata to determine the corresponding relationship between the permeability of the depleted oil and gas reservoir energy storage reservoir strata and the injection-production production pressure difference under multiple rounds of injection-production conditions.

[0034] Among them, the depleted oil and gas reservoir energy storage in the embodiment of the present invention refers to a compressed air energy storage. Compared with conventional gas storage, the compressed air energy storage has the characteristics of "large intake and discharge, injection and production alternation, and high-pressure operation". The single well injection and production and ground pipeline gas collection and transportation volume are much higher than gas field development, and the injection and production gas volume fluctuates greatly. It has high requirements for the sealing of the cap layer, the adaptability to the high-frequency injection and production system, and the safety of the injection and production string. The differences between gas storage and compressed air energy storage can be seen in Table 1.

[0035] Table 1 Differences between gas storage and compressed air energy storage

[0036]

[0037] Among them, it can be seen from Table 1 that the injection and production cycle of traditional gas storage is relatively long, the injection and production pressure drop rate is relatively small, and the impact and damage to the reservoir are relatively small; while the injection and production cycle of compressed air energy storage is frequent, basically one injection and production round per day, and the periodic fluctuation of reservoir pore pressure will cause irreversible impact and damage to the pore roar of reservoir rock, and the reservoir permeability will change, thereby affecting the production capacity of the depleted oil and gas reservoir energy storage formation. The embodiment of the present invention simulates the change law of the permeability of the depleted oil and gas reservoir energy storage formation under multiple rounds of injection and production conditions through indoor experiments, and optimizes the injection and production parameters of the compressed air energy storage to improve the production capacity of the depleted gas reservoir compressed air energy storage.

[0038] As an optional but non-limiting implementation method, the above-mentioned multiple rounds of injection and production simulation experiments are carried out on the depleted oil and gas reservoir energy storage reservoir stratum to determine the corresponding relationship between the permeability of the depleted oil and gas reservoir energy storage reservoir stratum and the injection and production pressure difference under multiple rounds of injection and production conditions, including but not limited to steps A1-A3:

[0039] Step A1: Construct a multi-round injection-production simulation experimental model and determine the first permeability of the depleted oil and gas reservoir storage reservoir formation under original conditions.

[0040] Step A2: Perform multiple rounds of injection and production on the depleted oil and gas reservoir energy reservoir formation to determine the second permeability under different injection and production pressure difference conditions.

[0041] Step A3: Determine the corresponding relationship between the formation permeability of the depleted oil and gas reservoir and the injection-production pressure difference under multiple rounds of injection-production conditions based on the first permeability and the second permeability; wherein the permeability includes the first permeability and the second permeability.

[0042] Among them, a multi-round injection-production simulation experimental model is constructed. The experimental model is shown in Figure 2. The multi-round injection and production simulation experiment model includes a nitrogen bottle 11, a dryer 12, a core holder 13, a confining pressure pump 14, a gas flowmeter 15, a heating thermostat 16, a thermostat controller 17 and a pressure differential meter 18. The multi-round injection and production simulation experiment model is used in the embodiment of the present invention; for example, six relatively high, medium and low permeability cores are selected to perform six-rise and six-fall pressure fluctuation experiments under small (5MPa), medium (10MPa) and large (25MPa) production pressure differences to determine the relationship between the relative change of permeability and the net effective cover pressure. Specifically: test the first permeability of the rock under the original formation conditions; simulate the six-rise and six-fall pressure fluctuation experiment under the production pressure difference to obtain the second permeability; record the experimental data, and analyze the experimental data to determine the corresponding relationship between the formation permeability of the depleted oil and gas reservoir energy storage reservoir and the injection and production pressure difference under the multi-round injection and production conditions. Among them, the first permeability refers to the reservoir permeability obtained under the initial net effective cover pressure, and the second permeability refers to the reservoir permeability obtained under different net effective cover pressures.

[0043] As an optional but non-limiting implementation, the determining of the corresponding relationship between the formation permeability of the depleted oil and gas reservoir energy storage reservoir and the injection-production production pressure difference under multiple rounds of injection-production conditions based on the first permeability and the second permeability includes:

[0044] According to the corresponding relationship between the formation permeability of the depleted oil and gas reservoir and the injection-production pressure difference, the reservoir permeability and the injection-production pressure difference are fitted to determine the exponential relationship between the permeability and the injection-production pressure difference.

[0045] According to the corresponding relationship between the formation permeability of the depleted oil and gas reservoir energy storage and the injection-production pressure difference, the formation permeability of the depleted oil and gas reservoir energy storage and the injection-production pressure difference are fitted to obtain the following: Figure 3 The permeability change curve is shown. Based on the permeability change curve, an exponential relationship between permeability and injection-production pressure difference is constructed, and the exponential relationship is expressed as:

[0046]

[0047] Where K represents the second permeability, K0 represents the first permeability, α represents the permeability variation coefficient, P eff Indicates the injection-production pressure difference.

[0048] In the embodiment of the present invention, an experimental method is used to simulate the influence of "large intake and discharge, injection and production alternation, and high-pressure operation" of a compressed air energy storage reservoir on the physical properties of reservoir cores, which can effectively determine the corresponding relationship between energy storage permeability and injection-production production pressure difference.

[0049] S120, construct a single well seepage model, and radially flow the gas into the bottom of the well to determine the corresponding relationship between the formation production and permeability of the depleted oil and gas reservoir.

[0050] Among them, in the embodiment of the present invention, in order to solve the problems of complex seepage laws and large changes in reservoir physical properties under high-frequency and high-intensity injection and production conditions of the energy storage reservoir, the nonlinear seepage theory of high-speed non-Darcy flow is used to establish a seepage model, and the gas is radially flowed into the bottom of the well to determine the corresponding relationship between the formation production and permeability of the depleted oil and gas reservoir energy storage reservoir.

[0051] As an optional but non-limiting implementation, the construction of a single well seepage model, radially flowing gas into the bottom of the well to determine the corresponding relationship between the formation production and permeability of the depleted oil and gas reservoir energy storage reservoir, includes but is not limited to steps B1-B4:

[0052] Step B1: Construct a single well seepage model, and let the gas flow radially into the bottom of the well to determine the corresponding relationship between the gas volume flow rate and the permeability.

[0053] Step B2: According to the continuity equation and the compressibility coefficient gas state equation, the gas volume flow rate is converted into the gas volume flow rate under standard conditions.

[0054] Step B3: Under steady-state conditions, the gas well production under standard conditions is used instead of the gas volume flow under standard conditions to determine the corresponding relationship between the production and permeability of the depleted oil and gas reservoir energy reservoir formation under standard conditions.

[0055] Step B4: converting the correspondence between the production and permeability under the standard state to determine the target correspondence between the production and permeability of the depleted oil and gas reservoir energy storage reservoir under different states.

[0056] Among them, the steady-state conditions include the constant outer boundary pressure of the depleted oil and gas reservoir, the stable gas flow state, and the stable mass flow rate of each water-passing section.

[0057] Among them, a seepage model of a single well is established, and the gas is radially flowed into the bottom of the well in a horizontal, equal-thickness and homogeneous gas layer. The gas plane radial flow obeys Darcy's law, and the corresponding relationship between the gas volume flow rate and the permeability is determined. The basic differential expression is:

[0058]

[0059] Among them, q r represents the gas volume flow rate at radius r; K represents the effective permeability of the gas layer; μ represents the gas viscosity; h represents the effective thickness of the gas layer; r represents any radius from the well axis; p represents the pressure. According to the continuity equation and the compressibility coefficient gas state equation, the flow rate q at radius r can be r Converted to the flow rate q' under standard conditions r . The continuity equation is expressed as:

[0060] ρq=ρ1q1=ρ2q2=constant

[0061] Wherein, ρ represents the gas density. The compressibility coefficient gas state equation is expressed as:

[0062]

[0063] Where M represents the molar mass, Z represents the gas compressibility factor, R represents the coefficient, and T represents the gas layer temperature. Flow rate q' under standard conditions r It is expressed as:

[0064]

[0065] Substitute the basic differential expression into the flow rate q′ under standard conditions r In the expression, separate the variables to get the first expression:

[0066]

[0067] Among them, q r represents the gas volume flow rate, q′ r Indicates the gas volume flow rate under standard conditions, B g represents the number of gas molecules, Z represents the gas compressibility coefficient, T represents the gas layer temperature, p sc Indicates the pressure under standard conditions, Z sc Indicates the gas compressibility coefficient under standard conditions, T sc Indicates the air temperature under standard conditions.

[0068] Under the conditions of constant outer boundary pressure of depleted oil and gas reservoirs, stable gas flow state and stable mass flow rate of each water-passing section, the gas well production under standard conditions is used to replace the gas volume flow rate under standard conditions to determine the corresponding relationship between the production and permeability of the depleted oil and gas reservoirs under standard conditions, and the second expression is obtained:

[0069]

[0070] Substituting the second expression into any unit system and standard state, using the units actually used in the gas field, the second expression can be written as:

[0071]

[0072] Among them, q sc represents the gas production under standard conditions, Z represents the gas deviation factor, r w represents the wellbore radius, p wf Indicates the bottom hole flowing pressure.

[0073] As an optional but non-limiting implementation, the conversion of the correspondence between the production and permeability under the standard state to determine the target correspondence between the production and permeability of the depleted oil and gas reservoir energy storage reservoir under different states includes but is not limited to steps C1-C2:

[0074] Step C1: Based on the corresponding relationship between the yield and the permeability under standard conditions, a relationship between the yield and the permeability is constructed.

[0075] Step C2: The production and permeability relationship is integrated using pseudo-pressure to determine a target corresponding relationship between the production and permeability of a depleted oil and gas reservoir energy storage reservoir under different conditions.

[0076] The relationship between production and permeability is processed by integration, and the integration processing method includes but is not limited to using pseudo-pressure or the potential concept of actual gas. In the embodiment of the present invention, the pseudo-pressure method is used for integration processing. The pseudo-pressure definition is:

[0077]

[0078] That is, the relationship between production and permeability can be expressed as:

[0079]

[0080] In actual work, ψ can be obtained by numerical integration and other methods based on the physical properties of natural gas, or by directly looking up the function table ψ=f(p pr ,T pr ). Among them, p0 refers to the initial reference pressure, which is generally 0; ψ can refer to the pseudo pressure, which is the ratio of p to the gas deviation factor Z; ψ wf It can refer to the pseudo bottom hole flowing pressure, which is p wf Ratio to gas deviation factor Z, p wf refers to the bottom hole flowing pressure; p pr is the quasi-comparative pressure, T pr It refers to the temperature to be compared.

[0081] Using the concept of pseudo-pressure, the relationship between production and permeability can be expressed as the third expression:

[0082]

[0083] The third expression can also be expressed as:

[0084]

[0085] When r = r e , ψ=ψ e hour,

[0086]

[0087] Among them, ψ e Can refer to r e The pseudo-pressure at (supply radius) is p e Ratio to gas deviation factor Z, p e refers to r e (supply radius). If the average pressure is taken use Go ask and It is considered to be a constant within the integral range and the integral sign can be removed, so the relationship between production and permeability is simplified to:

[0088]

[0089] By integration, the target corresponding relationship expression between the formation production and permeability of the depleted oil and gas reservoir storage tank under different conditions can be obtained, which can be expressed as:

[0090]

[0091] In the embodiment of the present invention, in order to solve the problems of complex seepage laws and large changes in reservoir physical properties under high-frequency and high-intensity injection and production conditions of compressed air energy storage reservoirs, the nonlinear seepage theory of high-speed non-Darcy flow is used to establish a seepage model of the energy storage reservoir; through theoretical derivation and mathematical modeling, the corresponding relationship between the formation production and permeability of the energy storage reservoir in the depleted oil and gas reservoir can be effectively determined.

[0092] S130, determining the corresponding relationship between the production and the injection-production pressure difference according to the corresponding relationship between the permeability and the injection-production pressure difference, and the corresponding relationship between the production and the permeability.

[0093] Among them, the exponential relationship between permeability and injection-production pressure difference is combined with the target corresponding relationship expression between the formation production and permeability of the depleted oil and gas reservoir energy storage reservoir to determine the corresponding relationship between the formation production and the injection-production pressure difference of the depleted oil and gas reservoir energy storage reservoir. For example, the permeability in the exponential relationship between permeability and injection-production pressure difference is substituted into the target corresponding relationship expression between the formation production and permeability of the depleted oil and gas reservoir energy storage reservoir, and the corresponding relationship between the formation production and the injection-production pressure difference of the depleted oil and gas reservoir energy storage reservoir is obtained.

[0094] S140, determining the target injection-production pressure differential when the formation production of the depleted oil and gas reservoir energy storage reservoir is maximum based on the corresponding relationship between the production and the injection-production pressure differential, and optimizing and controlling the target injection-production pressure differential.

[0095] Among them, after determining the corresponding relationship between the formation production of the depleted oil and gas reservoir and the injection-production pressure difference, the injection-production pressure difference can be controlled according to the production. Figure 4 , a target coefficient of variation can be obtained from the fitting curve of permeability and injection-production pressure difference. The coefficient of variation refers to the ratio of the standard deviation of permeability in a single layer to the average permeability, which is a scalar used to characterize the permeability of oil and gas formations. That is, the permeability of the formation is optimal under the target coefficient of variation; under the condition of optimal permeability, the production of the formation is optimal; determine the target injection-production pressure difference when the formation production capacity is optimal, and control the target injection-production pressure difference to maximize the formation production.

[0096] In an embodiment of the present invention, a method for optimizing injection and production parameters of a compressed air energy storage reservoir is provided. By conducting multiple rounds of injection and production simulation experiments on the formation of a depleted oil and gas reservoir energy storage reservoir, the corresponding relationship between the permeability of the formation of the depleted oil and gas reservoir energy storage reservoir and the injection and production pressure difference under multiple rounds of injection and production conditions is determined; a single well seepage model is constructed, and the gas is radially flowed into the bottom of the well to determine the corresponding relationship between the production and permeability of the formation of the depleted oil and gas reservoir energy storage reservoir; based on the corresponding relationship between the permeability and the injection and production pressure difference, and the corresponding relationship between the production and the permeability, the corresponding relationship between the production and the injection and production pressure difference is determined; based on the corresponding relationship between the production and the injection and production pressure difference, the target injection and production pressure difference is determined when the production of the depleted oil and gas reservoir energy storage reservoir formation is maximized, and the target injection and production pressure difference is optimized and controlled. By adopting the technical solution of the embodiment of the present invention, in order to solve the problems of complex seepage laws and large changes in reservoir physical properties under high-frequency and high-intensity injection and production conditions of energy storage reservoirs, a seepage model of energy storage reservoirs is established by using the nonlinear seepage theory of high-speed non-Darcy flow; an experimental method is used to simulate the influence of "large intake and discharge, alternating injection and production, and high-pressure operation" of compressed air energy storage reservoirs on the physical properties of reservoir cores; through theoretical derivation and mathematical modeling, a calculation method for reservoir physical properties under the high-frequency and high-intensity working mode of energy storage reservoirs is established; it can effectively optimize the injection and production capacity of compressed air energy storage reservoirs in depleted gas reservoirs, and provide theoretical support and technical guidance for the safe and efficient operation of energy storage reservoirs.

[0097] Figure 5 This is a schematic diagram of the structure of a compressed air energy storage reservoir injection and production parameter optimization device provided in an embodiment of the present invention. The technical solution of this embodiment can be applied to the case of compressed air energy storage reservoir injection and production parameter optimization. The device can be implemented by software and / or hardware, and is generally integrated on any electronic device with network communication function, including but not limited to: servers, computers, personal digital assistants and other devices. Figure 5 As shown, the compressed air energy storage reservoir injection and production parameter optimization device provided in this embodiment may include:

[0098] The first corresponding relationship determination module 510 is used to perform multiple rounds of injection and production simulation experiments on the depleted oil and gas reservoir energy storage reservoir stratum to determine the corresponding relationship between the permeability of the depleted oil and gas reservoir energy storage reservoir stratum and the injection and production pressure difference under multiple rounds of injection and production conditions;

[0099] The second corresponding relationship determination module 520 is used to construct a single well seepage model, and radially flow the gas into the bottom of the well to determine the corresponding relationship between the formation production and permeability of the depleted oil and gas reservoir energy storage reservoir;

[0100] The target corresponding relationship determination module 530 is used to determine the corresponding relationship between the production and the injection-production pressure difference according to the corresponding relationship between the permeability and the injection-production pressure difference, and the corresponding relationship between the production and the permeability;

[0101] The injection-production parameter optimization control module 540 is used to determine the target injection-production production pressure difference when the formation production of the depleted oil and gas reservoir is maximum based on the corresponding relationship between the production and the injection-production production pressure difference, and optimize the target injection-production production pressure difference.

[0102] Based on the above embodiment, optionally, the first correspondence determination module is specifically configured to:

[0103] Construct a multi-cycle injection-production simulation experimental model and determine the first permeability of the depleted oil and gas reservoir reservoir formation under original conditions;

[0104] Conduct multiple rounds of injection and production on the depleted oil and gas reservoir reservoir formation to determine the second permeability under different injection and production pressure differences;

[0105] Based on the first permeability and the second permeability, the corresponding relationship between the formation permeability of the depleted oil and gas reservoir energy storage reservoir and the injection-production production pressure difference under multiple rounds of injection-production conditions is determined; wherein the permeability includes the first permeability and the second permeability.

[0106] Based on the above embodiment, optionally, the first correspondence determination module is further specifically configured to:

[0107] According to the corresponding relationship between the formation permeability of the depleted oil and gas reservoir and the injection-production pressure difference, the permeability and the injection-production pressure difference are fitted to determine the exponential relationship between the permeability and the injection-production pressure difference; the exponential relationship is expressed as:

[0108]

[0109] Where K represents the second permeability, K0 represents the first permeability, α represents the permeability variation coefficient, P eff Indicates the injection-production pressure difference.

[0110] Based on the above embodiment, optionally, the second correspondence determination module is specifically configured to:

[0111] A single well seepage model was constructed to radially flow gas into the bottom of the well to determine the corresponding relationship between gas volume flow rate and permeability;

[0112] According to the continuity equation and the compressibility coefficient gas state equation, the gas volume flow rate is converted into the gas volume flow rate under the standard state;

[0113] Under steady-state conditions, the gas well production under standard conditions is used instead of the gas volume flow under standard conditions to determine the corresponding relationship between the production and permeability of the depleted oil and gas reservoir formation under standard conditions;

[0114] The corresponding relationship between the production and permeability under the standard state is converted to determine the target corresponding relationship between the production and permeability of the depleted oil and gas reservoir energy storage reservoir under different states;

[0115] Among them, the steady-state conditions include the constant outer boundary pressure of the depleted oil and gas reservoir, the stable gas flow state, and the stable mass flow rate of each water-passing section.

[0116] Based on the above embodiment, optionally, the second correspondence determination module is further specifically configured to:

[0117] According to the corresponding relationship between the yield and the permeability under the standard state, the relationship between the yield and the permeability is constructed;

[0118] The production and permeability relationship is integrated using pseudo-pressure to determine the target corresponding relationship between the production and permeability of the depleted oil and gas reservoir energy storage reservoir under different conditions.

[0119] The compressed air energy storage reservoir injection and production parameter optimization device provided in the embodiment of the present invention can execute the compressed air energy storage reservoir injection and production parameter optimization method provided in any embodiment of the present invention mentioned above, and has the corresponding functions and beneficial effects of executing the compressed air energy storage reservoir injection and production parameter optimization method. For detailed process, please refer to the relevant operations of the compressed air energy storage reservoir injection and production parameter optimization method in the aforementioned embodiment.

[0120] Figure 61 is a schematic diagram of the structure of an electronic device provided in an embodiment of the present invention. The electronic device 10 is intended to represent various forms of digital computers, such as laptop computers, desktop computers, workstations, personal digital assistants, servers, blade servers, mainframe computers, and other suitable computers. The electronic device may also represent various forms of mobile devices, such as personal digital processing, cellular phones, smart phones, wearable devices (such as helmets, glasses, watches, etc.) and other similar computing devices. The components shown herein, their connections and relationships, and their functions are merely examples and are not intended to limit the implementation of the present invention described and / or required herein.

[0121] like Figure 6 As shown, the electronic device 10 includes at least one processor 11, and a memory connected to the at least one processor 11, such as a read-only memory (ROM) 12, a random access memory (RAM) 13, etc., wherein the memory stores a computer program that can be executed by at least one processor, and the processor 11 can perform various appropriate actions and processes according to the computer program stored in the read-only memory (ROM) 12 or the computer program loaded from the storage unit 18 to the random access memory (RAM) 13. In the RAM 13, various programs and data required for the operation of the electronic device 10 can also be stored. The processor 11, the ROM 12, and the RAM 13 are connected to each other through a bus 14. An input / output (I / O) interface 15 is also connected to the bus 14.

[0122] A number of components in the electronic device 10 are connected to the I / O interface 15, including: an input unit 16, such as a keyboard, a mouse, etc.; an output unit 17, such as various types of displays, speakers, etc.; a storage unit 18, such as a disk, an optical disk, etc.; and a communication unit 19, such as a network card, a modem, a wireless communication transceiver, etc. The communication unit 19 allows the electronic device 10 to exchange information / data with other devices through a computer network such as the Internet and / or various telecommunication networks.

[0123] The processor 11 may be a variety of general and / or special processing components with processing and computing capabilities. Some examples of the processor 11 include, but are not limited to, a central processing unit (CPU), a graphics processing unit (GPU), various special artificial intelligence (AI) computing chips, various processors running machine learning model algorithms, digital signal processors (DSPs), and any appropriate processors, controllers, microcontrollers, etc. The processor 11 executes the various methods and processes described above, such as a compressed air energy storage reservoir injection and production parameter optimization method.

[0124] In some embodiments, the method for optimizing the injection and production parameters of a compressed air energy storage reservoir may be implemented as a computer program, which is tangibly contained in a computer-readable storage medium, such as a storage unit 18. In some embodiments, part or all of the computer program may be loaded and / or installed on the electronic device 10 via the ROM 12 and / or the communication unit 19. When the computer program is loaded into the RAM 13 and executed by the processor 11, one or more steps of the method for optimizing the injection and production parameters of a compressed air energy storage reservoir described above may be performed. Alternatively, in other embodiments, the processor 11 may be configured to execute the method for optimizing the injection and production parameters of a compressed air energy storage reservoir in any other appropriate manner (e.g., by means of firmware).

[0125] Various implementations of the systems and techniques described above herein can be implemented in digital electronic circuit systems, integrated circuit systems, field programmable gate arrays (FPGAs), application specific integrated circuits (ASICs), application specific standard products (ASSPs), systems on chips (SOCs), load programmable logic devices (CPLDs), computer hardware, firmware, software, and / or combinations thereof. These various implementations can include: being implemented in one or more computer programs that can be executed and / or interpreted on a programmable system including at least one programmable processor, which can be a special purpose or general purpose programmable processor that can receive data and instructions from a storage system, at least one input device, and at least one output device, and transmit data and instructions to the storage system, the at least one input device, and the at least one output device.

[0126] Computer programs for implementing the methods of the present invention may be written in any combination of one or more programming languages. These computer programs may be provided to a processor of a general-purpose computer, a special-purpose computer, or other programmable data processing device, so that when the computer program is executed by the processor, the functions / operations specified in the flow chart and / or block diagram are implemented. The computer program may be executed entirely on the machine, partially on the machine, partially on the machine and partially on a remote machine as a stand-alone software package, or entirely on a remote machine or server.

[0127] In the context of the present invention, a computer-readable storage medium may be a tangible medium that may contain or store a computer program for use by or in combination with an instruction execution system, device or equipment. A computer-readable storage medium may include, but is not limited to, electronic, magnetic, optical, electromagnetic, infrared, or semiconductor systems, devices or equipment, or any suitable combination of the foregoing. Alternatively, a computer-readable storage medium may be a machine-readable signal medium. A more specific example of a machine-readable storage medium may include an electrical connection based on one or more lines, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.

[0128] To provide interaction with a user, the systems and techniques described herein may be implemented on an electronic device having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to the user; and a keyboard and a pointing device (e.g., a mouse or trackball) through which the user can provide input to the electronic device. Other types of devices may also be used to provide interaction with the user; for example, the feedback provided to the user may be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user may be received in any form (including acoustic input, voice input, or tactile input).

[0129] The systems and techniques described herein may be implemented in a computing system that includes backend components (e.g., as a data server), or a computing system that includes middleware components (e.g., an application server), or a computing system that includes frontend components (e.g., a user computer with a graphical user interface or a web browser through which a user can interact with implementations of the systems and techniques described herein), or a computing system that includes any combination of such backend components, middleware components, or frontend components. The components of the system may be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: a local area network (LAN), a wide area network (WAN), a blockchain network, and the Internet.

[0130] A computing system may include a client and a server. The client and the server are generally remote from each other and usually interact through a communication network. The client and server relationship is generated by computer programs running on the corresponding computers and having a client-server relationship with each other. The server may be a cloud server, also known as a cloud computing server or cloud host, which is a host product in the cloud computing service system to solve the defects of difficult management and weak business scalability in traditional physical hosts and VPS services.

[0131] It should be understood that the various forms of processes shown above can be used to reorder, add or delete steps. For example, the steps described in the present invention can be executed in parallel, sequentially or in different orders, as long as the desired results of the technical solution of the present invention can be achieved, and this document does not limit this.

[0132] The above specific implementations do not constitute a limitation on the protection scope of the present invention. It should be understood by those skilled in the art that various modifications, combinations, sub-combinations and substitutions can be made according to design requirements and other factors. Any modification, equivalent substitution and improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.

Claims

1. A method for optimizing injection and production parameters of a compressed air energy storage reservoir, characterized in that: The method comprises: Conduct multiple rounds of injection-production simulation experiments on the depleted oil and gas reservoir reservoir formation to determine the corresponding relationship between the depleted oil and gas reservoir reservoir formation permeability and the injection-production production pressure difference under multiple rounds of injection-production conditions; A single well seepage model is constructed to radially flow gas into the bottom of the well to determine the corresponding relationship between the formation production and permeability of the depleted oil and gas reservoir; According to the corresponding relationship between permeability and injection-production pressure difference, and the corresponding relationship between production and permeability, the corresponding relationship between production and injection-production pressure difference is determined; According to the corresponding relationship between the production and the injection-production pressure difference, the target injection-production pressure difference when the formation production of the depleted oil and gas reservoir energy storage reservoir is maximum is determined, and the target injection-production pressure difference is optimized and controlled.

2. The method according to claim 1, characterized in that The above-mentioned multiple rounds of injection and production simulation experiments are conducted on the depleted oil and gas reservoir energy storage reservoir stratum to determine the corresponding relationship between the permeability of the depleted oil and gas reservoir energy storage reservoir stratum and the injection and production pressure difference under the multiple rounds of injection and production conditions, including: Construct a multi-cycle injection-production simulation experimental model and determine the first permeability of the depleted oil and gas reservoir reservoir formation under original conditions; Conduct multiple rounds of injection and production on the depleted oil and gas reservoir reservoir formation to determine the second permeability under different injection and production pressure differences; Based on the first permeability and the second permeability, the corresponding relationship between the formation permeability of the depleted oil and gas reservoir energy storage reservoir and the injection-production production pressure difference under multiple rounds of injection-production conditions is determined; wherein the permeability includes the first permeability and the second permeability.

3. The method according to claim 2, characterized in that Determining the corresponding relationship between the formation permeability of the depleted oil and gas reservoir energy storage reservoir and the injection-production production pressure difference under multiple rounds of injection-production conditions based on the first permeability and the second permeability includes: According to the corresponding relationship between the formation permeability of the depleted oil and gas reservoir and the injection-production pressure difference, the permeability and the injection-production pressure difference are fitted to determine the exponential relationship between the permeability and the injection-production pressure difference; the exponential relationship is expressed as: K=K0e -αPeff Where K represents the second permeability, K0 represents the first permeability, α represents the permeability variation coefficient, P eff Indicates the injection-production pressure difference.

4. The method according to claim 1, characterized in that: The single well seepage model is constructed to radially flow gas into the bottom of the well to determine the corresponding relationship between the formation production and permeability of the depleted oil and gas reservoir energy storage reservoir, including: A single well seepage model was constructed to radially flow gas into the bottom of the well to determine the corresponding relationship between gas volume flow rate and permeability; According to the continuity equation and the compressibility coefficient gas state equation, the gas volume flow rate is converted into the gas volume flow rate under the standard state; Under steady-state conditions, the gas well production under standard conditions is used instead of the gas volume flow under standard conditions to determine the corresponding relationship between the production and permeability of the depleted oil and gas reservoir formation under standard conditions; The corresponding relationship between the production and permeability under the standard state is converted to determine the target corresponding relationship between the production and permeability of the depleted oil and gas reservoir energy storage reservoir under different states; Among them, the steady-state conditions include the constant outer boundary pressure of the depleted oil and gas reservoir, the stable gas flow state, and the stable mass flow rate of each water-passing section.

5. The method according to claim 4, characterized in that The converting of the correspondence between the production and permeability under the standard state to determine the target correspondence between the production and permeability of the depleted oil and gas reservoir energy storage reservoir under different states includes: According to the corresponding relationship between the yield and the permeability under the standard state, the relationship between the yield and the permeability is constructed; The production and permeability relationship is integrated using pseudo-pressure to determine the target corresponding relationship between the production and permeability of the depleted oil and gas reservoir energy storage reservoir under different conditions.

6. A device for optimizing injection and production parameters of compressed air energy storage, characterized in that: The device comprises: The first corresponding relationship determination module is used to conduct multiple rounds of injection and production simulation experiments on the depleted oil and gas reservoir energy storage reservoir stratum to determine the corresponding relationship between the permeability of the depleted oil and gas reservoir energy storage reservoir stratum and the injection and production pressure difference under multiple rounds of injection and production conditions; The second corresponding relationship determination module is used to construct a single well seepage model, and radially flow the gas into the bottom of the well to determine the corresponding relationship between the formation production and permeability of the depleted oil and gas reservoir energy storage reservoir; A target corresponding relationship determination module is used to determine the corresponding relationship between the production and the injection-production pressure difference according to the corresponding relationship between the permeability and the injection-production pressure difference, and the corresponding relationship between the production and the permeability; The injection-production parameter optimization control module is used to determine the target injection-production production pressure difference when the formation production of the depleted oil and gas reservoir energy storage reservoir is maximum based on the corresponding relationship between the production and the injection-production production pressure difference, and optimize the target injection-production production pressure difference.

7. The device according to claim 6, characterized in that The first corresponding relationship determination module is specifically used to: Construct a multi-cycle injection-production simulation experimental model and determine the first permeability of the depleted oil and gas reservoir reservoir formation under original conditions; Conduct multiple rounds of injection and production on the depleted oil and gas reservoir reservoir formation to determine the second permeability under different injection and production pressure differences; Based on the first permeability and the second permeability, the corresponding relationship between the formation permeability of the depleted oil and gas reservoir energy storage reservoir and the injection-production production pressure difference under multiple rounds of injection-production conditions is determined; wherein the permeability includes the first permeability and the second permeability.

8. The device according to claim 6, characterized in that The first corresponding relationship determination module is further specifically used for: According to the corresponding relationship between the formation permeability of the depleted oil and gas reservoir and the injection-production pressure difference, the reservoir permeability and the injection-production pressure difference are fitted to determine the exponential relationship between the permeability and the injection-production pressure difference; the exponential relationship is expressed as: K=K0e -αPeff Where K represents the second permeability, K0 represents the first permeability, α represents the permeability variation coefficient, P eff Indicates the injection-production pressure difference.

9. An electronic device, characterized in that: include: one or more processors; A storage device for storing one or more programs; When the one or more programs are executed by the one or more processors, the one or more processors implement the method for optimizing injection and production parameters of a compressed air energy storage reservoir as described in any one of claims 1-5.

10. A storage medium containing computer executable instructions, characterized in that: The computer executable instructions, when executed by a computer processor, are used to execute the method for optimizing injection and production parameters of a compressed air energy storage reservoir as described in any one of claims 1-5.

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