Sandstone reservoir compressed air energy storage parameter determination method and system and electronic equipment

Abstract

The invention belongs to the field of air energy storage, particularly relates to a method and system for determining compressed air energy storage parameters of a sandstone reservoir and electronic equipment, and aims to solve the problem that a specific method for determining the compressed air energy storage parameters of the sandstone reservoir is lacked in the prior art. The method comprises the following steps: calculating the maximum air volume of the cushion reservoir; gradually subtracting the set step length from the maximum air volume of the cushion storeroom to obtain the air volume of each cushion storeroom; then calculating the bottom hole flow pressure corresponding to each cushion reservoir gas quantity, the wellhead flow pressure corresponding to each cushion reservoir gas quantity, the wellhead flow pressure corresponding to each cushion reservoir gas quantity, the gas potential expansion energy corresponding to each cushion reservoir gas quantity and the wellhead charging and discharging energy efficiency corresponding to each cushion reservoir gas quantity; further calculating each investment payback period corresponding to each cushion reservoir gas volume; the wellhead charging and discharging energy efficiency, the gas potential expansion energy, the cushion reservoir gas quantity and the displacement parameters correspond to the minimum payback period. Pressure and efficiency parameters of each node are calculated step by step.

Description

Technical Field

[0001] This invention belongs to the field of air energy storage, and specifically relates to a method, system and electronic equipment for determining compressed air energy storage parameters in sandstone reservoirs. Background Technology

[0002] Energy storage technology is a bottleneck technology restricting the development of new energy. PetroChina estimates its annual energy storage demand to be over 800 MWh. Compressed air energy storage has advantages such as large capacity and long duration. However, underground compressed air energy storage is usually implemented in salt cavern cavities. There are almost no cases of designed and implemented compressed gas energy storage in sandstone reservoirs or depleted gas reservoirs, and no related parameter optimization algorithms exist. Depleted gas reservoirs typically have wellhead pressure close to atmospheric pressure, which is unsuitable for energy storage. Sufficient inert gas (bed gas) needs to be injected into the reservoir to raise the reservoir pressure to 5-15 MPa. The more inert gas injected, the higher the reservoir pressure, and the higher the energy storage power and efficiency. However, injecting more inert gas incurs significant costs. Therefore, the bed gas volume needs to be optimized. With a fixed bed gas volume, there exists an optimal gas injection-production-discharge rate. The larger the injection-production-discharge rate, the greater the charging and discharging power, and the greater the revenue per unit time. However, the larger the injection-production ratio, the greater the frictional resistance of the gas in the reservoir and wellbore, the lower the energy charging and discharging efficiency, and the lower the profit, or even the negative profit. Porous reservoir compressed gas energy storage involves complex gas flow in the reservoir and wellbore, in which pressure loss at each stage must be considered, and the pressure and efficiency at each node need to be calculated step by step.

[0003] Therefore, existing technologies lack specific methods for determining compressed air energy storage parameters in sandstone reservoirs. Summary of the Invention

[0004] To address the aforementioned problems in the prior art, namely the lack of a specific method for determining compressed air energy storage parameters in sandstone reservoirs, this invention provides a method for determining compressed air energy storage parameters in sandstone reservoirs. The method includes:

[0005] The maximum gas volume of the pad reservoir is calculated based on the static pressure of the depleted gas reservoir, the water column pressure, and the reservoir pore volume; the gas volume of each pad reservoir is obtained by gradually subtracting the maximum gas volume of the pad reservoir from the set step size.

[0006] Calculate the bottom hole flowing pressure corresponding to each gas volume in each gas reservoir; calculate the wellhead flowing pressure corresponding to each gas volume in each gas reservoir based on the bottom hole flowing pressure corresponding to each gas volume in each gas reservoir; and calculate the potential gas expansion energy and the wellhead charging and discharging energy efficiency corresponding to each gas volume in each gas reservoir based on the wellhead flowing pressure corresponding to each gas volume in each gas reservoir.

[0007] The investment payback period for each gas volume in the cushion storage is calculated based on the gas volume in each cushion storage, the wellhead charging and releasing energy efficiency corresponding to the gas volume in each cushion storage, and the potential gas expansion energy corresponding to the gas volume in each cushion storage.

[0008] The minimum investment payback period corresponds to the wellhead charging and discharging energy efficiency, potential gas expansion energy, and pad gas volume, which are the determined compressed air energy storage parameters for sandstone reservoirs.

[0009] In a preferred embodiment, the method for calculating the maximum gas volume of the cushion storage is as follows:

[0010] Where Vmax is the maximum gas volume of the pad reservoir, V1 is the reservoir pore volume, P1 is the static pressure of the depleted gas reservoir, and P2 is the well water column pressure.

[0011] In a preferred embodiment, the method for calculating the bottom hole flowing pressure corresponding to the gas volume of each storage tank is as follows:

[0012] For each gas volume in the cushion storage area, calculate the corresponding reservoir static pressure, specifically as follows:

[0013] Where V represents the current gas volume in the cushion storage, and P represents the gas volume in the cushion storage. e P1 is the static pressure of the reservoir corresponding to the current gas volume in the pad storage, and V1 is the static pressure of the depleted gas reservoir.

[0014] Based on the reservoir static pressure corresponding to the current gas volume in the cushion storage area, the bottom hole flowing pressure corresponding to the current gas volume in the cushion storage area is calculated as follows:

[0015] in, The bottomhole flowing pressure is given by: K = (current gas volume in the storage tank) / (current bottomhole flowing pressure), h = (reservoir permeability), h = (reservoir thickness), Q = (gas production or injection rate), T = (bottomhole temperature), μ = (gas viscosity), Z = (deviation factor), and r = (r / r). e Let r be the radius of the gas reservoir. w Where is the wellbore radius, and S is the skin coefficient.

[0016] In a preferred embodiment, the method for calculating the wellhead flowing pressure corresponding to the gas volume of each storage tank is as follows:

[0017] For each gas volume in the cushion storage area, the wellhead flowing pressure corresponding to the current gas volume in the cushion storage area is calculated based on the bottomhole flowing pressure corresponding to the current gas volume in the cushion storage area. Specifically:

[0018] Among them, P tp P represents the wellhead flowing pressure corresponding to the current gas volume in the storage tank. wfThe bottomhole flowing pressure is the current gas volume in the storage tank, where 'a' is a temporary variable and 'T' is the bottomhole flowing pressure. 1 Here, H is the average temperature of the wellbore, D is the inner diameter of the wellbore, and f is the gas pipe friction coefficient.

[0019] In a preferred embodiment, the method for calculating the potential gas expansion energy corresponding to the gas volume of each cushion storage unit is as follows:

[0020] For each gas volume in the cushion storage area, the potential gas expansion energy corresponding to the current gas volume in the cushion storage area is calculated based on the wellhead flowing pressure corresponding to the current gas volume in the cushion storage area. Specifically:

[0021] Where U is the gas expansion energy corresponding to the current gas volume in the storage tank, Z is the deviation factor, n is the gas molar quantity, R is the universal gas constant, T2 is the temperature during expansion, and P tp P0 is the wellhead flowing pressure corresponding to the current gas volume in the storage tank, and P0 is the standard pressure.

[0022] In a preferred embodiment, the method for calculating the wellhead charging and releasing energy efficiency corresponding to the gas volume of each gas storage tank is as follows:

[0023] For each gas volume in the storage tank, the wellhead charging and releasing energy efficiency corresponding to the current gas volume is calculated based on the potential gas expansion energy. Specifically:

[0024] E represents the wellhead charging and releasing energy efficiency corresponding to the current gas volume in the storage tank, and W represents the wellhead charging and releasing energy efficiency corresponding to the current gas volume in the storage tank. i The expansion energy injected into the wellhead, W f Let ni be the expansion energy of the gas released from the wellhead, and ni be the molar amount of gas injected into the wellhead per unit time. f P is the molar amount of gas released from the wellhead per unit time. i Ptp is the wellhead injection pressure under construction conditions, Ti is the wellhead injection pressure corresponding to the current gas volume in the storage tank, and T is the temperature at the wellhead injection pressure. f P0 is the temperature at the wellhead during venting, P0 is the standard atmospheric pressure, and Es is the efficiency of the surface equipment.

[0025] In a preferred embodiment, the method for calculating the investment payback period corresponding to each gas volume in each cushion storage facility is as follows:

[0026] For each gas volume in the storage facility, the payback period for the current gas volume in the storage facility is calculated based on the current gas volume in the storage facility, the wellhead charging and releasing energy efficiency corresponding to the current gas volume in the storage facility, and the corresponding potential gas expansion energy. Specifically: W = U / 3600;

[0027] Where A is the investment payback period, E is the wellhead charging and releasing energy efficiency corresponding to the current gas volume in the storage facility, W is the charging and releasing power corresponding to the current gas volume in the storage facility, C1 is the peak electricity price, C0 is the off-peak electricity price, Y is the current gas volume in the storage facility, Ir is the unit price for gas treatment and injection in the storage facility, and Is is the investment amount.

[0028] A second aspect of the present invention provides a system for determining compressed air energy storage parameters in sandstone reservoirs, the system comprising:

[0029] The gas volume acquisition module for the gas storage area calculates the maximum gas volume for the gas storage area based on the static pressure of the depleted gas reservoir, the water column pressure, and the reservoir pore volume; and obtains the gas volume for each gas storage area by gradually subtracting the maximum gas volume for the gas storage area from the set step size.

[0030] The parameter calculation module calculates the bottom hole flowing pressure corresponding to each gas volume in each gas storage tank based on the gas volume of each gas storage tank; calculates the wellhead flowing pressure corresponding to each gas volume in each gas storage tank based on the bottom hole flowing pressure corresponding to each gas volume in each gas storage tank; and calculates the potential gas expansion energy and the wellhead charging and releasing energy efficiency corresponding to each gas volume in each gas storage tank based on the wellhead flowing pressure corresponding to each gas volume in each gas storage tank.

[0031] The investment payback period determination module calculates the investment payback period for each gas volume in the gas storage facility based on the gas volume of each gas storage facility, the wellhead charging and releasing energy efficiency corresponding to the gas volume of each gas storage facility, and the potential gas expansion energy corresponding to the gas volume of each gas storage facility.

[0032] The energy storage parameter determination module is used to determine the wellhead charging and discharging energy efficiency, potential gas expansion energy, and storage gas volume corresponding to the minimum investment payback period.

[0033] A third aspect of the present invention provides an electronic device comprising:

[0034] At least one processor; and

[0035] A memory communicatively connected to at least one of the processors; wherein,

[0036] The memory stores instructions that can be executed by the processor to implement the above-described method for determining compressed air energy storage parameters in sandstone reservoirs.

[0037] In a fourth aspect, the present invention provides a computer-readable storage medium storing computer instructions for execution by a computer to implement the above-described method for determining compressed air energy storage parameters in sandstone reservoirs.

[0038] The beneficial effects of this invention are:

[0039] (1) This invention can determine the optimal gas volume and discharge rate of compressed air energy storage in depleted gas reservoirs, the shortest investment payback period for compressed air energy storage in depleted gas reservoirs, and has scalability.

[0040] (2) This invention takes into account the complex gas flow in the reservoir and wellbore involved in the compressed gas energy storage of porous reservoirs, considers the pressure loss of each link, and calculates the pressure and efficiency of each node step by step.

[0041] (3) The present invention is based on the calculation of the maximum gas volume of the gas storage tank, which ensures the stability of the gas storage geological body. Attached Figure Description

[0042] Other features, objects, and advantages of this application will become more apparent from the following detailed description of non-limiting embodiments with reference to the accompanying drawings:

[0043] Figure 1 This is a flowchart illustrating a method for determining compressed air energy storage parameters in sandstone reservoirs according to an embodiment of the present invention.

[0044] Figure 2 This is a schematic diagram of the structure of a computer system used to implement the methods, systems, and devices of this application. Detailed Implementation

[0045] The present application will now be described in further detail with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are for illustrative purposes only and are not intended to limit the invention. Furthermore, it should be noted that, for ease of description, only the parts relevant to the invention are shown in the accompanying drawings.

[0046] It should be noted that, unless otherwise specified, the embodiments and features described in this application can be combined with each other. This application will now be described in detail with reference to the accompanying drawings and embodiments.

[0047] This invention provides a method for determining compressed air energy storage parameters in sandstone reservoirs, the method comprising:

[0048] The maximum gas volume of the pad reservoir is calculated based on the static pressure of the depleted gas reservoir, the water column pressure, and the reservoir pore volume; the gas volume of each pad reservoir is obtained by gradually subtracting the maximum gas volume of the pad reservoir from the set step size.

[0049] Calculate the bottom hole flowing pressure corresponding to each gas volume in each gas reservoir; calculate the wellhead flowing pressure corresponding to each gas volume in each gas reservoir based on the bottom hole flowing pressure corresponding to each gas volume in each gas reservoir; and calculate the potential gas expansion energy and the wellhead charging and discharging energy efficiency corresponding to each gas volume in each gas reservoir based on the wellhead flowing pressure corresponding to each gas volume in each gas reservoir.

[0050] The investment payback period for each gas volume in the cushion storage is calculated based on the gas volume in each cushion storage, the wellhead charging and releasing energy efficiency corresponding to the gas volume in each cushion storage, and the potential gas expansion energy corresponding to the gas volume in each cushion storage.

[0051] The wellhead charging and discharging energy efficiency, potential gas expansion energy, and pad gas volume corresponding to the minimum investment payback period are the determined compressed air energy storage parameters for sandstone reservoirs.

[0052] To more clearly explain the method for determining compressed air energy storage parameters in sandstone reservoirs according to the present invention, the following is in conjunction with... Figure 1 The steps in the embodiments of the present invention will be described in detail below.

[0053] The method for determining compressed air energy storage parameters in sandstone reservoirs according to the first embodiment of the present invention is described in detail below:

[0054] The maximum gas volume of the pad reservoir is calculated based on the static pressure of the depleted gas reservoir, the water column pressure, and the reservoir pore volume; the gas volume of each pad reservoir is obtained by gradually subtracting the maximum gas volume of the pad reservoir from the set step size.

[0055] In this embodiment, the method for calculating the maximum gas volume of the cushion storage is as follows:

[0056] Where Vmax is the maximum gas volume of the pad reservoir, V1 is the reservoir pore volume, P1 is the static pressure of the depleted gas reservoir, and P2 is the well water column pressure.

[0057] Calculate the bottom hole flowing pressure corresponding to each gas volume in each gas reservoir; calculate the wellhead flowing pressure corresponding to each gas volume in each gas reservoir based on the bottom hole flowing pressure corresponding to each gas volume in each gas reservoir; and calculate the potential gas expansion energy and the wellhead charging and discharging energy efficiency corresponding to each gas volume in each gas reservoir based on the wellhead flowing pressure corresponding to each gas volume in each gas reservoir.

[0058] The method for calculating the bottom hole flowing pressure corresponding to the gas volume of each storage tank is as follows:

[0059] For each gas volume in the cushion storage area, calculate the corresponding reservoir static pressure, specifically as follows:

[0060] Where V represents the current gas volume in the cushion storage, and P represents the gas volume in the cushion storage. e P1 is the static pressure of the reservoir corresponding to the current gas volume in the pad storage, and V1 is the static pressure of the depleted gas reservoir.

[0061] Based on the reservoir static pressure corresponding to the current gas volume in the cushion storage area, the bottom hole flowing pressure corresponding to the current gas volume in the cushion storage area is calculated as follows:

[0062] in, The bottomhole flowing pressure is given by: K = (current gas volume in the storage tank) / (current bottomhole flowing pressure), h = (reservoir permeability), h = (reservoir thickness), Q = (gas production or injection rate), T = (bottomhole temperature), μ = (gas viscosity), Z = (deviation factor), and r = (r / r). e Let r be the radius of the gas reservoir. w Where is the wellbore radius, and S is the skin coefficient.

[0063] In this embodiment of the invention, the method for calculating the wellhead flowing pressure corresponding to the gas volume of each gas storage tank is as follows:

[0064] For each gas volume in the cushion storage area, the wellhead flowing pressure corresponding to the current gas volume in the cushion storage area is calculated based on the bottomhole flowing pressure corresponding to the current gas volume in the cushion storage area. Specifically:

[0065] Where Ptp is the wellhead flowing pressure corresponding to the current gas volume in the storage tank, P wf , where is the bottomhole flowing pressure corresponding to the current gas volume in the storage tank, 'a' is a temporary variable, 'T1' is the average wellbore temperature, 'H' is the well depth, and 'D' represents the inner diameter of the wellbore.

[0066] In this embodiment of the invention, the method for calculating the potential gas expansion energy corresponding to the gas volume of each storage tank is as follows:

[0067] For each gas volume in the cushion storage area, the potential gas expansion energy corresponding to the current gas volume in the cushion storage area is calculated based on the wellhead flowing pressure corresponding to the current gas volume in the cushion storage area. Specifically:

[0068] Where U is the gas expansion energy corresponding to the current gas volume in the storage tank, Z is the deviation factor, n is the gas molar quantity, R is the universal gas constant, T2 is the temperature during expansion, and P tp P0 is the wellhead flowing pressure corresponding to the current gas volume in the storage tank, and P0 is the standard pressure.

[0069] In this embodiment of the invention, the method for calculating the wellhead charging and releasing energy efficiency corresponding to the gas volume of each gas storage tank is as follows:

[0070] For each gas volume in the storage tank, the wellhead charging and releasing energy efficiency corresponding to the current gas volume is calculated based on the potential gas expansion energy. Specifically:

[0071] E represents the wellhead charging and releasing energy efficiency corresponding to the current gas volume in the storage tank, and W represents the wellhead charging and releasing energy efficiency corresponding to the current gas volume in the storage tank. i The expansion energy injected into the wellhead, W f Let ni be the expansion energy of the gas released from the wellhead, and ni be the molar amount of gas injected into the wellhead per unit time. f P is the molar amount of gas released from the wellhead per unit time. iPtp is the wellhead injection pressure under construction conditions, Ti is the wellhead injection pressure corresponding to the current gas volume in the storage tank, and T is the temperature at the wellhead injection pressure. f P0 is the temperature at the wellhead during venting, P0 is the standard atmospheric pressure, and Es is the efficiency of the surface equipment.

[0072] The investment payback period for each gas volume in the cushion storage is calculated based on the gas volume in each cushion storage, the wellhead charging and releasing energy efficiency corresponding to the gas volume in each cushion storage, and the potential gas expansion energy corresponding to the gas volume in each cushion storage.

[0073] In this embodiment of the invention, the method for calculating the investment payback period corresponding to each gas volume in each storage facility is as follows:

[0074] For each gas volume in the storage facility, the payback period for the current gas volume in the storage facility is calculated based on the current gas volume in the storage facility, the wellhead charging and releasing energy efficiency corresponding to the current gas volume in the storage facility, and the corresponding potential gas expansion energy. Specifically:

[0075] Where A is the investment payback period, E is the wellhead charging and releasing energy efficiency corresponding to the current gas volume in the storage facility, W is the charging and releasing power corresponding to the current gas volume in the storage facility, C1 is the peak electricity price, C0 is the off-peak electricity price, Y is the current gas volume in the storage facility, Ir is the unit price for gas treatment and injection in the storage facility, and Is is the investment amount.

[0076] The wellhead charging and discharging energy efficiency, potential gas expansion energy, and pad gas volume corresponding to the minimum investment payback period are the determined compressed air energy storage parameters for sandstone reservoirs.

[0077] Regarding the above-mentioned method for determining compressed air energy storage parameters in sandstone reservoirs, this invention provides two examples for reference;

[0078] The first example is a depleted gas reservoir in the Eastern Oilfield, with a reservoir depth of 1100 meters, a current reservoir static pressure of 0.101 MPa, and an effective pore volume of 100,000 cubic meters. The total investment for surface and other aspects is 16 million yuan, with a unit price of 0.45 yuan / cubic meter for gas treatment and injection in the storage facility. Peak electricity price is 1.2 yuan / kWh, off-peak electricity price is 0.4 yuan / kWh, surface system efficiency is 73.1%, reservoir temperature is 323 K, wellhead temperature is 323 K, gas viscosity is 0.027 mPa·s, deviation factor is 0.98, reservoir radius is 167 meters, wellbore radius is 0.12 meters, tubing diameter is 96 mm, and skin factor is 0.0. Reservoir permeability is 310 mD, and reservoir thickness is 9.4 meters. The gas volume search step size in the storage facility is -100,000 m. 3 Injection displacement search step size +100m 3 / h. Initial injection / production / discharge rate: 1000 m³ 3 / h. Initial gas volume in the storage facility: 1,000,000 m³ 3(1) Calculate the maximum gas volume of the cushion storage, Vmax = 1067.3 × 10 4 m 3 (2) Bottom-hole pressure calculation: Injection bottom-hole pressure: 10.98MPa Production bottom-hole pressure: 10.57MPa (3) Calculation of wellhead gas pressure (wellhead pressure): Injection wellhead pressure: 9.89MPa, Production wellhead pressure: 9.29MPa (4) Calculation of total charging and discharging energy efficiency: 68.699% (5) Search for optimal pad gas volume: 960×10 4 m 3 (6) Search for the optimal injection-production discharge rate: 8200m³ 3 / h, (7) Shortest investment payback period: 18.0 years.

[0079] The second example is a depleted gas reservoir in the Eastern Oilfield, with a reservoir depth of 1500 meters, a current reservoir static pressure of 0.101 MPa, an effective reservoir pore volume of 60,000 cubic meters, and a total investment of 20 million yuan for surface and other purposes. The unit price for gas treatment and injection is 0.5 yuan / cubic meter. Peak electricity price is 1.2 yuan / kWh, off-peak electricity price is 0.38 yuan / kWh, surface system efficiency is 73.1%, reservoir temperature is 323K, wellhead temperature is 323K, gas viscosity is 0.027 mPa·s, deviation factor is 0.98, reservoir radius is 150 meters, wellbore radius is 0.12 meters, tubing diameter is 96 mm, and skin factor is 0.0. Reservoir permeability is 510 mD, and reservoir thickness is 9.4 meters. The gas volume search step for the gas storage is -100,000 m³, and the injection-production-displacement search step is +100 m³ / h. The initial injection-production-displacement rate is 1000 m³ / h. Initial gas volume of the pad storage: 1,000,000 m3; (1) Calculate the maximum gas volume of the pad storage Vmax = 882 × 10 4 m 3 (2) Bottom hole pressure calculation: Injection bottom hole pressure is 14.78 MPa; Production bottom hole pressure is 14.61 MPa; (3) Calculation of wellhead flowing gas pressure (wellhead pressure): Injection wellhead pressure is 12.74 MPa; Production wellhead pressure is 12.12 MPa; (4) Calculation of total charging and discharging energy efficiency: 69.58%; (5) Search for optimal pad gas volume: 450 × 10 4 m3; (6) Search for the optimal injection-production discharge rate: 9100 m 3 / h(7) Shortest investment payback period: 15.78 years.

[0080] Although the steps in the above embodiments are described in the above order, those skilled in the art will understand that in order to achieve the effect of this embodiment, different steps do not need to be executed in such an order. They can be executed simultaneously (in parallel) or in a reverse order. These simple variations are all within the protection scope of this invention.

[0081] The second embodiment of the sandstone reservoir compressed air energy storage parameter determination system of the present invention includes:

[0082] A method for obtaining the gas volume of the pad reservoir is used to calculate the maximum gas volume of the pad reservoir based on the static pressure of the depleted gas reservoir, the water column pressure, and the reservoir pore volume; and to obtain the gas volume of each pad reservoir by gradually subtracting the maximum gas volume of the pad reservoir from a set step size.

[0083] The parameter calculation module is used to calculate the bottom hole flowing pressure corresponding to each gas volume in each gas storage tank; calculate the wellhead flowing pressure corresponding to each gas volume in each gas storage tank based on the bottom hole flowing pressure corresponding to each gas volume in each gas storage tank; calculate the potential gas expansion energy corresponding to each gas volume in each gas storage tank based on the wellhead flowing pressure corresponding to each gas volume in each gas storage tank; and calculate the wellhead charging and discharging energy efficiency corresponding to each gas volume in each gas storage tank based on the wellhead flowing pressure corresponding to each gas volume in each gas storage tank.

[0084] The investment payback period determination module is used to calculate the investment payback period for each gas volume in each gas storage facility based on the gas volume of each gas storage facility, the wellhead charging and releasing energy efficiency corresponding to the gas volume of each gas storage facility, and the corresponding potential gas expansion energy.

[0085] The energy storage parameter determination module is used to determine the wellhead charging and discharging energy efficiency, potential gas expansion energy, and storage gas volume corresponding to the minimum investment payback period.

[0086] Those skilled in the art will understand that, for the sake of convenience and brevity, the specific working process and related descriptions of the system described above can be found in the corresponding processes in the foregoing method embodiments, and will not be repeated here.

[0087] It should be noted that the sandstone reservoir compressed air energy storage parameter determination system provided in the above embodiments is only an example of the division of the above functional modules. In practical applications, the above functions can be assigned to different functional modules as needed, that is, the modules or steps in the embodiments of the present invention can be further decomposed or combined. For example, the modules in the above embodiments can be merged into one module, or further divided into multiple sub-modules to complete all or part of the functions described above. The names of the modules and steps involved in the embodiments of the present invention are only for distinguishing the various modules or steps and are not considered as an improper limitation of the present invention.

[0088] An electronic device according to a third embodiment of the present invention includes:

[0089] At least one processor; and

[0090] A memory communicatively connected to at least one of the processors; wherein,

[0091] The memory stores instructions that can be executed by the processor to implement the above-described method for determining compressed air energy storage parameters in sandstone reservoirs.

[0092] A computer-readable storage medium according to a fourth embodiment of the present invention stores computer instructions, which are executed by the computer to implement the above-described method for determining compressed air energy storage parameters in sandstone reservoirs.

[0093] Those skilled in the art will understand that, for the sake of convenience and brevity, the specific working process and related descriptions of the storage device and processing device described above can be referred to the corresponding processes in the foregoing method embodiments, and will not be repeated here.

[0094] Those skilled in the art will recognize that the modules and method steps of the various examples described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, computer software, or a combination of both. The programs corresponding to the software modules and method steps can be placed in random access memory (RAM), main memory, read-only memory (ROM), electrically programmable ROM, electrically erasable programmable ROM, registers, hard disks, removable disks, CD-ROMs, or any other form of storage medium known in the art. To clearly illustrate the interchangeability of electronic hardware and software, the components and steps of the various examples have been generally described in terms of functionality in the foregoing description. Whether these functions are implemented in electronic hardware or software depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of the invention.

[0095] The following is for reference. Figure 2 It shows a schematic diagram of the structure of a computer system for implementing the methods, systems, and devices of this application. Figure 2 The server shown is merely an example and should not impose any limitations on the functionality and scope of use of the embodiments of this application.

[0096] like Figure 2As shown, the computer system includes a Central Processing Unit (CPU) 601, which can perform various appropriate actions and processes based on programs stored in Read Only Memory (ROM) 602 or programs loaded from storage section 608 into Random Access Memory (RAM) 603. The RAM 603 also stores various programs and data required for system operation. The CPU 601, ROM 602, and RAM 603 are interconnected via a bus 604. An Input / Output (I / O) interface 605 is also connected to the bus 604.

[0097] The following components are connected to I / O interface 605: an input section 606 including a keyboard, mouse, etc.; an output section 607 including a cathode ray tube (CRT), liquid crystal display (LCD), etc., and speakers, etc.; a storage section 608 including a hard disk, etc.; and a communication section 609 including a network interface card such as a LAN (Local Area Network) card, modem, etc. The communication section 609 performs communication processing via a network such as the Internet. A drive 610 is also connected to I / O interface 605 as needed. A removable medium 611, such as a disk, optical disk, magneto-optical disk, semiconductor memory, etc., is installed on drive 610 as needed so that computer programs read from it can be installed into storage section 608 as needed.

[0098] Specifically, according to embodiments of this disclosure, the processes described above with reference to the flowcharts can be implemented as computer software programs. For example, embodiments of this disclosure include a computer program product comprising a computer program carried on a computer-readable medium, the computer program containing program code for performing the methods shown in the flowcharts. In such embodiments, the computer program can be downloaded and installed from a network via communication section 609, and / or installed from removable medium 611. When the computer program is executed by central processing unit (CPU) 601, it performs the functions defined in the methods of this application. It should be noted that the computer-readable medium described above in this application can be a computer-readable signal medium or a computer-readable storage medium, or any combination of the two. A computer-readable storage medium can be, for example,—but not limited to—an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination thereof. More specific examples of computer-readable storage media may include, but are not limited to: electrical connections having one or more wires, portable computer disks, hard disks, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), optical fiber, portable compact disk read-only memory (CD-ROM), optical storage devices, magnetic storage devices, or any suitable combination thereof. In this application, a computer-readable storage medium can be any tangible medium containing or storing a program that can be used by or in connection with an instruction execution system, apparatus, or device. In this application, a computer-readable signal medium may include a data signal propagated in baseband or as part of a carrier wave, carrying computer-readable program code. Such propagated data signals can take various forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination thereof. A computer-readable signal medium can also be any computer-readable medium other than a computer-readable storage medium, which can send, propagate, or transmit a program for use by or in connection with an instruction execution system, apparatus, or device. The program code contained on a computer-readable medium can be transmitted using any suitable medium, including but not limited to: wireless, wire, optical fiber, RF, etc., or any suitable combination thereof.

[0099] Computer program code for performing the operations of this application can be written in one or more programming languages ​​or a combination thereof, including object-oriented programming languages ​​such as Java, Smalltalk, and C++, and conventional procedural programming languages ​​such as the "C" language or similar programming languages. The program code can be executed entirely on the user's computer, partially on the user's computer, as a standalone software package, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or server. In cases involving remote computers, the remote computer can be connected to the user's computer via any type of network—including a local area network (LAN) or a wide area network (WAN)—or can be connected to an external computer (e.g., via the Internet using an Internet service provider).

[0100] The flowcharts and block diagrams in the accompanying drawings illustrate the architecture, functionality, and operation of possible implementations of systems, methods, and computer program products according to various embodiments of this application. In this regard, each block in a flowchart or block diagram may represent a module, segment, or portion of code containing one or more executable instructions for implementing a specified logical function. It should also be noted that in some alternative implementations, the functions indicated in the blocks may occur in a different order than those indicated in the drawings. For example, two consecutively indicated blocks may actually be executed substantially in parallel, and they may sometimes be executed in reverse order, depending on the functions involved. It should also be noted that each block in the block diagrams and / or flowcharts, and combinations of blocks in the block diagrams and / or flowcharts, can be implemented using a dedicated hardware-based system that performs the specified function or operation, or using a combination of dedicated hardware and computer instructions.

[0101] The terms “first”, “second”, etc., are used to distinguish similar objects, not to describe or indicate a specific order or sequence.

[0102] The term "comprising" or any other similar term is intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus / device that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent in such process, method, article, or apparatus / device.

[0103] The technical solution of the present invention has been described above with reference to the preferred embodiments shown in the accompanying drawings. However, it will be readily understood by those skilled in the art that the scope of protection of the present invention is obviously not limited to these specific embodiments. Without departing from the principles of the present invention, those skilled in the art can make equivalent changes or substitutions to the relevant technical features, and the technical solutions after these changes or substitutions will all fall within the scope of protection of the present invention.

Claims

1. A method for determining compressed air energy storage parameters in sandstone reservoirs, characterized in that, The parameter design method comprises: The maximum cushion gas volume is calculated based on the reservoir static pressure of the depleted gas reservoir, the well water column pressure and the reservoir pore volume; and each cushion gas volume is obtained by gradually subtracting a set step from the maximum cushion gas volume; The well bottom flowing pressure corresponding to each cushion gas volume is calculated according to the cushion gas volume; the well head flowing pressure corresponding to each cushion gas volume is calculated in combination with the well bottom flowing pressure corresponding to each cushion gas volume; and the gas potential expansion energy corresponding to each cushion gas volume and the well head charge-discharge energy efficiency corresponding to each cushion gas volume are calculated according to the well head flowing pressure corresponding to each cushion gas volume; The investment recovery period corresponding to each cushion gas volume is calculated based on the cushion gas volume, the well head charge-discharge energy efficiency corresponding to each cushion gas volume and the gas potential expansion energy corresponding to each cushion gas volume; The well head charge-discharge energy efficiency, the gas potential expansion energy and the cushion gas volume corresponding to the minimum investment recovery period are the determined compressed air energy storage parameters of the sandstone reservoir.

2. The method of claim 1, wherein, The method for calculating the maximum cushion gas volume is: Wherein, Vmax is the maximum cushion gas volume, V1 is the reservoir pore volume, P1 is the reservoir static pressure of the depleted gas reservoir, and P2 is the well water column pressure.

3. The method of claim 2, wherein, The method for calculating the well bottom flowing pressure corresponding to each cushion gas volume is: For each cushion gas volume, the reservoir static pressure corresponding to the current cushion gas volume is calculated, and the calculation is specifically as follows: Wherein, V is the current cushion gas volume, P e is the current cushion gas volume corresponding to the reservoir static pressure, P1 is the reservoir static pressure of the depleted gas reservoir, and V1 is the reservoir pore volume. The well bottom flowing pressure corresponding to the current cushion gas volume is calculated based on the reservoir static pressure corresponding to the current cushion gas volume, and the calculation is specifically as follows: where P wf is the current bottomhole flowing pressure corresponding to the gas inventory, K is the reservoir permeability, h is the reservoir thickness, Q is the gas production or injection rate, T is the bottomhole temperature, μ is the gas viscosity, Z is the deviation factor, r e is the gas reservoir radius, r w is the wellbore radius, and S is the skin factor.

4. The method of claim 3, wherein, The method for calculating the well head flowing pressure corresponding to each cushion gas volume is: For each cushion gas volume, the well head flowing pressure corresponding to the current cushion gas volume is calculated based on the well bottom flowing pressure corresponding to the current cushion gas volume, and the calculation is specifically as follows: Where Ptp is the wellhead flow pressure corresponding to the current pad gas volume, P wf is the wellbore bottom flow pressure corresponding to the current pad gas volume, a is a temporary variable, T1 is the average temperature of the wellbore, H is the well depth, D represents the diameter of the wellbore, and f is the gas pipe flow friction coefficient.

5. The method of claim 4, wherein, The method for calculating the gas potential expansion energy corresponding to each cushion gas volume is: For each cushion gas volume, the gas potential expansion energy corresponding to the current cushion gas volume is calculated based on the well head flowing pressure corresponding to the current cushion gas volume, and the calculation is specifically as follows: Wherein, U is the gas expansion energy corresponding to the current cushion gas volume, Z is the deviation factor, n is the gas molar mass, R is the universal gas constant, T2 is the temperature at the time of expansion, P tp is the wellhead flow pressure corresponding to the current cushion gas volume, P0 is the standard pressure.

6. The method of claim 5, wherein, The method for calculating the well head charge-discharge energy efficiency corresponding to each cushion gas volume is: For each cushion gas volume, the well head charge-discharge energy efficiency corresponding to the current cushion gas volume is calculated based on the gas potential expansion energy corresponding to the current cushion gas volume, and the calculation is specifically as follows: Wherein, E is the wellhead charge and discharge energy efficiency corresponding to the current cushion gas volume, the wellhead charge and discharge energy efficiency corresponding to the current cushion gas volume, W i is the expansion energy of the wellhead injection, W f is the expansion energy of the wellhead gas discharge, ni is the molar amount of wellhead injection gas per unit time, n f is the molar amount of wellhead gas discharge per unit time, P i is the wellhead injection flow pressure under construction conditions, Ptp is the wellhead flow pressure corresponding to the current cushion gas volume, Ti is the temperature when the wellhead injection gas pressure, T f is the temperature when the wellhead gas is discharged, P0 is the standard atmospheric pressure, and Es is the ground equipment efficiency.

7. The method of claim 6, wherein, The method for calculating each investment recovery period corresponding to each cushion gas volume is: For each cushion gas volume, the investment recovery period corresponding to the current cushion gas volume is calculated based on the current cushion gas volume, the well head charge-discharge energy efficiency corresponding to the current cushion gas volume and the gas potential expansion energy corresponding to the current cushion gas volume, and the calculation is specifically as follows: W=U / 3600; Wherein, A is the investment recovery period, E is the well head charge-discharge energy efficiency corresponding to the current cushion gas volume, W is the charge-discharge power corresponding to the current cushion gas volume, C1 is the peak electricity price, C0 is the valley electricity price, Y is the current cushion gas volume, Ir is the cushion gas treatment and injection unit price, and Is is the investment amount.

8. A sandstone reservoir compressed air energy storage parameter determination system, characterized by, The parameter determination system comprises: A cushion gas volume acquisition module, which calculates the maximum cushion gas volume based on the reservoir static pressure of the depleted gas reservoir, the well water column pressure and the reservoir pore volume; and obtains each cushion gas volume by gradually subtracting a set step from the maximum cushion gas volume; A cushion gas volume acquisition module, which calculates the maximum cushion gas volume based on the reservoir static pressure of the depleted gas reservoir, the well water column pressure and the reservoir pore volume; and obtains each cushion gas volume by gradually subtracting a set step from the maximum cushion gas volume; a parameter calculation module, configured to calculate a bottom-hole flowing pressure corresponding to each cushion gas volume according to the each cushion gas volume; calculate a wellhead flowing pressure corresponding to each cushion gas volume in combination with the bottom-hole flowing pressure corresponding to each cushion gas volume; and calculate a gas potential expansion energy corresponding to each cushion gas volume and a wellhead charge and discharge energy efficiency corresponding to each cushion gas volume according to the wellhead flowing pressure corresponding to each cushion gas volume; an investment recovery period determination module, configured to calculate an investment recovery period corresponding to each cushion gas volume based on the each cushion gas volume, the wellhead charge and discharge energy efficiency corresponding to each cushion gas volume, and the gas potential expansion energy corresponding to each cushion gas volume; an energy storage parameter determination module, configured to determine the wellhead charge and discharge energy efficiency, the gas potential expansion energy, and the cushion gas volume corresponding to the minimum investment recovery period.

9. An electronic device, comprising: comprise: at least one processor; and a memory in communication with the at least one processor; wherein the memory stores instructions executable by the processor, and the instructions are configured to be executed by the processor to implement the sandstone reservoir compressed air energy storage parameter determination method of any one of claims 1-8.

10. A computer-readable storage medium, characterized in that, the computer readable storage medium stores computer instructions, and the computer instructions are configured to be executed by the computer to implement the sandstone reservoir compressed air energy storage parameter determination method of any one of claims 1-8.

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