Method and apparatus for acquiring storage potential of saline aquifer, and electronic device

Abstract

A method for acquiring the storage potential of a saline aquifer. The method comprises: acquiring the area of a research zone, the density of carbon dioxide under a stratum pressure, the thickness of an oil reservoir, the porosity of the oil reservoir, the irreducible water saturation of the oil reservoir, a reservoir fluid volume coefficient, a carbon dioxide storage efficiency factor, and stratum data; on the basis of the stratum data, determining estimated storage areas; on the basis of the area of the research zone and the estimated storage areas, determining a target storage area; and on the basis of said values, calculating a storage potential value of a saline aquifer in a target region. Further disclosed are an apparatus (400) for acquiring the storage potential of a saline aquifer, and an electronic device (500), a storage medium, a computer program product and a computer program.

Description

Method, device and electronic equipment for obtaining storage potential of saline aquifer

[0001] CROSS-REFERENCE TO RELATED APPLICATIONS

[0002] This application claims priority to Chinese Patent Application No. 2024100461389 filed in China on January 11, 2024, the entire contents of which are incorporated herein by reference. Technical Field

[0003] The present disclosure relates to the field of geological exploration technology, and in particular to a method, device, electronic device, storage medium, computer program product, and computer program for acquiring the storage potential of a saline aquifer. Background Art

[0004] Carbon dioxide (CO2) is one of the main greenhouse gases emitted by human production and daily life, and is a major contributor to global climate change. CCUS technology is an important approach to achieving deep CO2 emission reductions and mitigating climate change. CO2-EOR technology holds great promise. Oil reservoirs, as ideal locations for carbon sequestration, can effectively store CO2 over the long term while also increasing oil recovery, achieving both economic and social benefits. Determining the carbon storage potential of target reservoirs is crucial for the large-scale implementation of CO2-EOR technology.

[0005] Currently, the calculation of saline aquifer storage potential mainly adopts the US Department of Energy (US-DOE) method. This method often directly uses the study area area when determining the saline aquifer storage area. However, the actual CO2 migration and storage area is usually much smaller than the study area. The rough determination of the study area area as the saline aquifer storage area obviously greatly exaggerates the CO2 storage potential of saline aquifers. Summary of the Invention

[0006] The present disclosure aims to solve one of the technical problems in the related art at least to a certain extent.

[0007] To this end, one object of the present disclosure is to provide a method for obtaining the storage potential of saline aquifers.

[0008] The second objective of the present disclosure is to provide a device for obtaining the storage potential of a saline aquifer.

[0009] A third objective of the present disclosure is to provide an electronic device.

[0010] A fourth object of the present disclosure is to provide a non-transitory computer-readable storage medium.

[0011] A fifth object of the present disclosure is to provide a computer program product.

[0012] A sixth object of the present disclosure is to provide a computer program.

[0013] To achieve the above-mentioned objectives, a first embodiment of the present disclosure proposes a method for obtaining the storage potential of a saline aquifer, comprising: obtaining the area of ​​a study area, the density of carbon dioxide at formation pressure, the thickness of the reservoir, the porosity of the reservoir, the irreducible water saturation of the reservoir, the reservoir fluid volume coefficient, and the carbon dioxide storage efficiency factor of the target area, and obtaining stratigraphic data of different strata in the target area; determining the estimated storage areas corresponding to the different strata based on the stratigraphic data; determining the target storage area based on the area of ​​the study area and the estimated storage area; and calculating the storage potential value of the saline aquifer in the target area based on the target storage area, the density of carbon dioxide at formation pressure, the thickness of the reservoir, the porosity of the reservoir, the irreducible water saturation of the reservoir, the reservoir fluid volume coefficient, and the carbon dioxide storage efficiency factor.

[0014] According to one embodiment of the present disclosure, the estimated storage area corresponding to different formations is determined based on formation data, including: for any formation, obtaining the porosity, permeability, formation pressure, injection pressure, and injection flow rate from the formation data corresponding to the formation; and inputting the porosity, permeability, formation pressure, injection pressure, and injection flow rate into an estimation model to obtain the estimated storage area.

[0015] According to one embodiment of the present disclosure, determining a target storage area based on the area of ​​the study area and the estimated storage area includes: selecting a minimum value from the area of ​​the study area and the estimated storage area as the target storage area.

[0016] According to one embodiment of the present disclosure, a saline aquifer storage potential value in a target area is calculated based on a target storage area, a density of carbon dioxide at formation pressure, reservoir thickness, reservoir porosity, reservoir irreducible water saturation, a reservoir fluid volume coefficient, and a carbon dioxide storage efficiency factor, including: subtracting 1 from the reservoir irreducible water saturation to obtain a saturation factor; and multiplying the target storage area, the density of carbon dioxide at formation pressure, reservoir thickness, reservoir porosity, the saturation factor, the reservoir fluid volume coefficient, and the carbon dioxide storage efficiency factor to obtain the saline aquifer storage potential value.

[0017] According to one embodiment of the present disclosure, the formula for calculating the storage potential value of the saline aquifer is: Where Mt(CO2) is the storage potential of the saline aquifer, ρ r is the density of carbon dioxide at formation pressure, h is the reservoir thickness, is the reservoir porosity, S wi is the irreducible water saturation of the reservoir, B is the reservoir fluid volume coefficient, E is the carbon dioxide storage efficiency factor, and min[A',A] is the target storage area.

[0018] To achieve the above-mentioned purpose, the second embodiment of the present disclosure proposes a device for obtaining the storage potential of a saline aquifer, including: an acquisition module for obtaining the study area area, the density of carbon dioxide at formation pressure, the reservoir thickness, the reservoir porosity, the reservoir irreducible water saturation, the reservoir fluid volume coefficient and the carbon dioxide storage efficiency factor of the target area, and obtaining the formation data of different formations in the target area; a determination module for determining the estimated storage area corresponding to different formations based on the formation data; a selection module for determining the target storage area based on the study area area and the estimated storage area; and a calculation module for calculating the storage potential value of the saline aquifer in the target area based on the target storage area, the density of carbon dioxide at formation pressure, the reservoir thickness, the reservoir porosity, the reservoir irreducible water saturation, the reservoir fluid volume coefficient and the carbon dioxide storage efficiency factor.

[0019] To achieve the above-mentioned purpose, an embodiment of the third aspect of the present disclosure proposes an electronic device, comprising: at least one processor; and a memory communicatively connected to the at least one processor; wherein the memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor to implement the method for obtaining the storage potential of a saline layer as described in any embodiment of the first aspect of the present disclosure.

[0020] To achieve the above-mentioned purpose, the fourth embodiment of the present disclosure proposes a non-transitory computer-readable storage medium storing computer instructions, wherein the computer instructions are used to implement the method for obtaining the storage potential of a saline layer as described in any embodiment of the first aspect of the present disclosure.

[0021] To achieve the above-mentioned purpose, the fifth embodiment of the present disclosure proposes a computer program product, including a computer program, which, when executed by a processor, is used to implement the method for obtaining the storage potential of a saline layer as described in any embodiment of the first aspect of the present disclosure.

[0022] To achieve the above-mentioned purpose, the sixth embodiment of the present disclosure proposes a computer program, including computer program code. When the computer program code is run on a computer, the computer executes the method for obtaining the storage potential of a saline layer as described in any embodiment of the first aspect of the present disclosure.

[0023] Compared with the prior art method of directly using the study area of ​​the target area, the embodiment of the present disclosure obtains the estimated storage area corresponding to different strata, and then determines the target storage area based on the study area area and the estimated storage area. The obtained target storage area is closer to the actual carbon dioxide storage area, thereby improving the accuracy of calculating the saline aquifer storage potential value of the target area. BRIEF DESCRIPTION OF THE DRAWINGS

[0024] FIG1 is a schematic diagram of a method for obtaining storage potential of a saline aquifer according to one embodiment of the present disclosure;

[0025] FIG2 is a schematic diagram of another method for obtaining storage potential of a saline aquifer according to one embodiment of the present disclosure;

[0026] FIG3 is a schematic diagram of another method for obtaining storage potential of a saline aquifer according to one embodiment of the present disclosure;

[0027] FIG4 is a schematic diagram of a device for obtaining storage potential of a saline aquifer according to one embodiment of the present disclosure;

[0028] FIG5 is a schematic diagram of an electronic device according to an embodiment of the present disclosure. DETAILED DESCRIPTION

[0029] The following describes in detail embodiments of the present disclosure, examples of which are shown in the accompanying drawings, wherein the same or similar reference numerals throughout represent the same or similar elements or elements having the same or similar functions. The embodiments described below with reference to the accompanying drawings are exemplary and are intended to be used to explain the present disclosure, and should not be construed as limiting the present disclosure.

[0030] The acquisition, storage, use, and processing of data in this disclosed technical solution comply with the relevant provisions of relevant laws and regulations.

[0031] FIG1 is a schematic diagram of a method for obtaining the storage potential of a saline aquifer according to an embodiment of the present disclosure. As shown in FIG1 , the method for obtaining the storage potential of a saline aquifer includes the following steps S101 to S104 .

[0032] S101, obtaining the study area of ​​the target area, the density of carbon dioxide at formation pressure, the reservoir thickness, the reservoir porosity, the reservoir irreducible water saturation, the reservoir fluid volume coefficient, and the carbon dioxide storage efficiency factor, and obtaining stratigraphic data of different formations in the target area.

[0033] The target area is the research area where the saline aquifer storage potential prediction is required. It is set in advance and is delineated based on actual detection needs.

[0034] The study area of ​​the target region is the actual area of ​​the target region delineated in advance.

[0035] The density of carbon dioxide at formation pressure, reservoir thickness, reservoir porosity, reservoir irreducible water saturation, reservoir fluid volume coefficient, and carbon dioxide sequestration efficiency factor may be obtained manually through sampling or through instrumental measurement, and are not limited here.

[0036] The method for obtaining the saline aquifer storage potential of the embodiment of the present disclosure can be applied to the scenario of predicting the saline aquifer storage potential of a region. The executor of the method for obtaining the saline aquifer storage potential of the embodiment of the present disclosure can be the saline aquifer storage potential obtaining device of the embodiment of the present disclosure, and the saline aquifer storage potential obtaining device can be set on an electronic device.

[0037] It should be noted that the different strata may be pre-delineated and arranged vertically. The depths corresponding to the different strata from the ground surface may vary, and this is not limited here. The specific number of strata and the corresponding depths of the strata may be determined based on actual design requirements. For example, the stratum 0-2 km from the ground surface is the first stratum, and the stratum 3-2 km from the ground surface is the second stratum, and so on.

[0038] In the embodiment of the present disclosure, the formation data may include a variety of data, which is not limited here. For example, the formation data may include porosity, osmotic pressure, injection pressure, etc., which may be specifically limited according to actual design needs.

[0039] S102: Determine the estimated storage area corresponding to different strata based on the stratum data.

[0040] In the embodiments of the present disclosure, there are various methods for determining the estimated storage area corresponding to different strata based on stratum data, which are not limited herein.

[0041] In one implementation, the formation data can be substituted into an estimated storage area algorithm to obtain an estimated storage area. This estimated storage area algorithm is pre-designed and can be modified based on actual design needs, and is not limited here. It should be noted that different formations may use different algorithms for estimated storage area, and this can be modified based on actual design needs.

[0042] In another implementation, the formation data can be input into an estimated storage area model. This model is pre-trained and stored in the electronic device's memory for easy access when needed. It should be noted that different formations may correspond to different estimated storage area models, which can be determined based on actual design requirements.

[0043] S103: Determine a target storage area based on the area of ​​the study area and the estimated storage area.

[0044] In the embodiments of the present disclosure, there are many methods for determining the target storage area based on the area of ​​the study area and the estimated storage area, which are not limited here.

[0045] In some embodiments, the area of ​​the study area and all estimated storage areas may be added together and the average value may be calculated as the target storage area.

[0046] In some embodiments, weights may be assigned to the study area and each estimated storage area, and the target storage area may be determined based on the weights.

[0047] S104, calculating the saline aquifer storage potential value of the target area based on the target storage area, the density of carbon dioxide at formation pressure, the reservoir thickness, the reservoir porosity, the reservoir irreducible water saturation, the reservoir fluid volume coefficient, and the carbon dioxide storage efficiency factor.

[0048] In the disclosed embodiment, the measured storage area, carbon dioxide density at formation pressure, reservoir thickness, reservoir porosity, reservoir irreducible water saturation, reservoir fluid volume coefficient, and carbon dioxide storage efficiency factor of the target area are first obtained, and stratigraphic data for different strata in the target area are obtained. Then, based on the stratigraphic data, the estimated storage area corresponding to each stratum is determined. Then, based on the measured storage area and the estimated storage area, the target storage area is determined. Finally, the saline aquifer storage potential of the target area is calculated based on the target storage area, carbon dioxide density at formation pressure, reservoir thickness, reservoir porosity, reservoir irreducible water saturation, reservoir fluid volume coefficient, and carbon dioxide storage efficiency factor. Compared to the prior art method of directly calculating the study area area of ​​the target area, the disclosed embodiment obtains the estimated storage area corresponding to each stratum and then determines the target storage area based on the study area area and the estimated storage area. The obtained target storage area is closer to the actual carbon dioxide storage area, thereby improving the accuracy of calculating the saline aquifer storage potential of the target area.

[0049] In some embodiments, determining estimated storage areas corresponding to different strata based on stratum data, as further illustrated in FIG. 2 , includes:

[0050] S201, for any formation, obtaining porosity, permeability, formation pressure, injection pressure, and injection flow rate from formation data corresponding to the formation; and

[0051] S202: Porosity, permeability, formation pressure, injection pressure, and injection flow rate are input into an estimation model to obtain an estimated storage area.

[0052] In one implementation, the estimation model in the embodiment of the present disclosure is a simulation model, and the parameters of the estimation model can be adjusted by adjusting the porosity, permeability, formation pressure, injection pressure, and injection flow rate to simulate and obtain the estimated storage area.

[0053] In another implementation, the estimation model in the embodiment of the present disclosure is a neural network model, and the estimated storage area can be calculated by inputting porosity, permeability, formation pressure, injection pressure, and injection flow into the estimation model.

[0054] In the embodiment of the present disclosure, the estimation model is established in advance, and different strata correspond to different estimation models.

[0055] In the disclosed embodiment, for any formation, the porosity, permeability, formation pressure, injection pressure, and injection rate are first obtained from the formation data corresponding to the formation. These data are then input into an estimation model to calculate the estimated storage area. By establishing an estimation model, data processing speed can be increased and processing costs can be reduced.

[0056] It should be noted that the target storage area is determined based on the area of ​​the study area and the estimated storage area, and the minimum value between the area of ​​the study area and the estimated storage area is selected as the target storage area.

[0057] In some embodiments, the saline aquifer storage potential of the target region is calculated based on the target storage area, the density of carbon dioxide at formation pressure, the reservoir thickness, the reservoir porosity, the irreducible water saturation of the reservoir, the reservoir fluid volume coefficient, and the carbon dioxide storage efficiency factor. As further illustrated in FIG. 3 , the method includes:

[0058] S301, subtracting 1 from the irreducible water saturation of the reservoir to obtain a saturation factor; and

[0059] S302, multiplying the target storage area, the density of carbon dioxide at formation pressure, the reservoir thickness, the reservoir porosity, the saturation factor, the reservoir fluid volume coefficient, and the carbon dioxide storage efficiency factor to obtain a storage potential value of the saline aquifer.

[0060] In the embodiment of the present disclosure, the formula for calculating the storage potential value of the saline aquifer is:

[0061] Where Mt(CO2) is the storage potential of the saline aquifer, ρ r is the density of carbon dioxide at formation pressure, h is the reservoir thickness, is the reservoir porosity, S wi is the irreducible water saturation of the reservoir, B is the reservoir fluid volume coefficient, E is the carbon dioxide storage efficiency factor, and min[A',A] is the target storage area.

[0062] Corresponding to the methods for obtaining the storage potential of saline water layers provided in the above-mentioned embodiments, an embodiment of the present disclosure provides a device for obtaining the storage potential of saline water layers. Since the device for obtaining the storage potential of saline water layers provided in the embodiment of the present disclosure corresponds to the methods for obtaining the storage potential of saline water layers provided in the above-mentioned embodiments, the implementation methods of the above-mentioned methods for obtaining the storage potential of saline water layers are also applicable to the device for obtaining the storage potential of saline water layers provided in the embodiment of the present disclosure, and will not be described in detail in the following embodiments.

[0063] FIG4 is a schematic diagram of a device for obtaining saline aquifer storage potential according to an embodiment of the present disclosure. As shown in FIG4 , the device 400 for obtaining saline aquifer storage potential includes: an acquisition module 410 , a determination module 420 , a selection module 430 and a calculation module 440 .

[0064] Among them, the acquisition module 410 is used to obtain the study area of ​​the target area, the density of carbon dioxide at formation pressure, the reservoir thickness, the reservoir porosity, the reservoir irreducible water saturation, the reservoir fluid volume coefficient and the carbon dioxide storage efficiency factor, and obtain the formation data of the target area in different formations.

[0065] The determination module 420 is configured to determine the estimated storage area corresponding to different strata based on the stratum data.

[0066] The selection module 430 is configured to determine a target storage area based on the area of ​​the study area and the estimated storage area.

[0067] The calculation module 440 is used to calculate the saline aquifer storage potential value of the target area based on the target storage area, the density of carbon dioxide at formation pressure, the reservoir thickness, the reservoir porosity, the reservoir irreducible water saturation, the reservoir fluid volume coefficient, and the carbon dioxide storage efficiency factor.

[0068] In one embodiment of the present disclosure, the determination module 420 is further used to: for any formation, obtain the porosity, permeability, formation pressure, injection pressure, and injection flow in the formation data corresponding to the formation; and input the porosity, permeability, formation pressure, injection pressure, and injection flow into the estimation model to calculate and obtain the estimated storage area.

[0069] In one embodiment of the present disclosure, the selection module 430 is further configured to select a minimum value from the area of ​​the study area and the estimated storage area as the target storage area.

[0070] In one embodiment of the present disclosure, the calculation module 440 is further configured to: subtract 1 from the irreducible water saturation of the reservoir to obtain a saturation factor; and multiply a value based on the target storage area, the density of carbon dioxide at formation pressure, the reservoir thickness, the reservoir porosity, the saturation factor, the reservoir fluid volume coefficient, and the carbon dioxide storage efficiency factor to obtain a saline aquifer storage potential value.

[0071] Compared with the prior art method of directly using the study area of ​​the target area, the embodiment of the present disclosure obtains the estimated storage area corresponding to different strata, and then determines the target storage area based on the study area area and the estimated storage area. The obtained target storage area is closer to the actual carbon dioxide storage area, thereby improving the accuracy of calculating the saline aquifer storage potential value of the target area.

[0072] In order to implement the above-mentioned embodiment, an embodiment of the present disclosure proposes an electronic device 500. FIG5 is a schematic diagram of an electronic device of one embodiment of the present disclosure. As shown in FIG5 , the electronic device 500 includes: a processor 501 and a memory 502 communicatively connected to the processor, the memory 502 stores instructions executable by at least one processor, and the instructions are executed by at least one processor 501 to implement a method for obtaining the storage potential of a saline layer as in any embodiment of FIG1 to FIG3 of the present disclosure.

[0073] In order to implement the above embodiment, the embodiment of the present disclosure proposes a non-transitory computer-readable storage medium storing computer instructions, wherein the computer instructions are used to enable a computer to implement the method for obtaining the storage potential of a saline layer as in any embodiment of Figures 1 to 3 of the present disclosure.

[0074] In order to implement the above embodiments, the embodiments of the present disclosure provide a computer program product, including a computer program. When the computer program is executed by a processor, it implements the method for obtaining the storage potential of a saline layer as in any embodiment of Figures 1 to 3 of the present disclosure.

[0075] In order to implement the above embodiment, the embodiment of the present disclosure proposes a computer program, including computer program code. When the computer program code is run on a computer, the computer executes the method for obtaining the storage potential of a saline layer as in any embodiment of Figures 1 to 3 of the present disclosure.

[0076] It should be noted that the explanations of the method and apparatus for obtaining the storage potential of saline layers in the aforementioned embodiments are also applicable to the computer-readable storage medium, computer program product and computer program in the embodiments of the present disclosure, and will not be repeated here.

[0077] All embodiments of the present disclosure may be implemented individually or in combination with other embodiments, and are all considered to be within the scope of protection claimed by the present disclosure.

[0078] It is important to note that personal information collected from users should be used for legitimate and reasonable purposes and should not be shared or sold beyond these legitimate uses. Furthermore, such collection / sharing should be conducted only after receiving the user's informed consent, including but not limited to notifying the user to read the user agreement / user notice and sign an agreement / authorization that includes the relevant user information before using the feature. Furthermore, any necessary steps must be taken to safeguard and secure access to such personal information and ensure that others with access to personal information comply with its privacy policy and procedures.

[0079] This disclosure contemplates providing implementations that allow users to selectively block the use or access of personal information data. Specifically, this disclosure contemplates providing hardware and / or software to prevent or block access to such personal information data. Risks can be minimized by limiting data collection and deleting data once it is no longer needed. Furthermore, where applicable, such personal information can be de-identified to protect user privacy.

[0080] In the descriptions of the aforementioned embodiments, the reference terms "one embodiment", "some embodiments", "example", "specific example", or "some examples" mean that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present disclosure. In this specification, the schematic expressions of the above terms do not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described may be combined in any one or more embodiments or examples in a suitable manner. In addition, those skilled in the art may combine and combine the different embodiments or examples described in this specification and the features of the different embodiments or examples, unless they are mutually inconsistent.

[0081] Furthermore, the terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of technical features being referred to. Thus, a feature defined as "first" or "second" may explicitly or implicitly include at least one such feature. Throughout the present disclosure, "plurality" means at least two, such as two, three, etc., unless otherwise specifically defined.

[0082] Any process or method description in a flowchart or otherwise described herein may be understood to represent a module, segment or portion of code comprising one or more executable instructions for implementing the steps of a custom logical function or process, and the scope of the preferred embodiments of the present disclosure includes additional implementations in which functions may be performed out of the order shown or discussed, including performing functions in a substantially simultaneous manner or in the reverse order depending on the functions involved, which should be understood by those skilled in the art to which the embodiments of the present disclosure belong.

[0083] The logic and / or steps represented in the flowcharts or otherwise described herein, for example, can be considered as a sequenced list of executable instructions for implementing the logical functions, and can be embodied in any computer-readable medium for use by, or in conjunction with, an instruction execution system, apparatus, or device (e.g., a computer-based system, a system including a processor, or other system that can fetch and execute instructions from an instruction execution system, apparatus, or device). For purposes of this specification, a "computer-readable medium" can be any device that can contain, store, communicate, propagate, or transport a program for use by, or in conjunction with, an instruction execution system, apparatus, or device. More specific examples (a non-exhaustive list) of computer-readable media include the following: an electrical connection with one or more wires (electronic devices), a portable computer disk cartridge (magnetic device), random access memory (RAM), read-only memory (ROM), erasable and programmable read-only memory (EPROM or flash memory), fiber optic devices, and a portable compact disc read-only memory (CDROM). Furthermore, the computer-readable medium may even be paper or other suitable medium on which the program is printed, since the program may be obtained electronically, for example, by optically scanning the paper or other medium and then editing, interpreting or processing it in another suitable manner if necessary, and then storing it in a computer memory.

[0084] It should be understood that various parts of the present disclosure can be implemented using hardware, software, firmware, or a combination thereof. In the above embodiments, multiple steps or methods can be implemented using software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented using hardware, as in another embodiment, any one of the following technologies known in the art or a combination thereof can be used to implement: a discrete logic circuit having a logic gate circuit for implementing a logic function on a data signal, an application-specific integrated circuit having a suitable combination of logic gate circuits, a programmable gate array (PGA), a field programmable gate array (FPGA), etc.

[0085] Those skilled in the art will understand that all or part of the steps in the method of the above embodiment can be completed by instructing related hardware through a program, and the program can be stored in a computer-readable storage medium. When the program is executed, it includes one or a combination of the steps of the method embodiment.

[0086] In addition, the functional units in the various embodiments of the present disclosure may be integrated into a single processing module, or each unit may exist physically separately, or two or more units may be integrated into a single module. The aforementioned integrated modules may be implemented in the form of hardware or in the form of software functional modules. If the integrated modules are implemented in the form of software functional modules and sold or used as independent products, they may also be stored in a computer-readable storage medium.

[0087] The storage medium mentioned above may be a read-only memory, a magnetic disk, or an optical disk, etc. Although the embodiments of the present disclosure have been shown and described above, it is understood that the above embodiments are exemplary and should not be construed as limiting the present disclosure. A person of ordinary skill in the art may make changes, modifications, substitutions, and variations to the above embodiments within the scope of the present disclosure.

Claims

1. A method for obtaining the potential of saline aquifer storage, characterized in that, Including: Obtain the study area area of the target area, the density of carbon dioxide under formation pressure, the reservoir thickness, the reservoir porosity, the irreducible water saturation of the reservoir, the formation volume factor of the reservoir fluid, and the carbon dioxide sequestration efficiency factor, and obtain the formation data of the target area in different formations; Determine the estimated sequestration area corresponding to different formations based on the formation data; Determine the target sequestration area based on the study area area and the estimated sequestration area; Calculate the saline aquifer sequestration potential value of the target area based on the target sequestration area, the density of carbon dioxide under formation pressure, the reservoir thickness, the reservoir porosity, the irreducible water saturation of the reservoir, the formation volume factor of the reservoir fluid, and the carbon dioxide sequestration efficiency factor.

2. The method according to claim 1, wherein The determining the estimated sequestration area corresponding to different formations based on the formation data includes: For any formation, obtain the porosity, permeability, formation pressure, injection pressure, and injection flow rate in the formation data corresponding to the formation; Input the porosity, the permeability, the formation pressure, the injection pressure, and the injection flow rate into the estimation model to obtain the estimated sequestration area.

3. The method according to claim 1 or 2, characterized in that, The determining the target sequestration area based on the study area area and the estimated sequestration area includes: Select the minimum value from the study area area and the estimated sequestration area as the target sequestration area.

4. The method according to any one of claims 1 to 3, characterized in that, The calculating the saline aquifer sequestration potential value of the target area based on the target sequestration area, the density of carbon dioxide under formation pressure, the reservoir thickness, the reservoir porosity, the irreducible water saturation of the reservoir, the formation volume factor of the reservoir fluid, and the carbon dioxide sequestration efficiency factor includes: Subtract the irreducible water saturation of the reservoir from 1 to obtain the saturation factor; Multiply the target sequestration area, the density of carbon dioxide under formation pressure, the reservoir thickness, the reservoir porosity, the saturation factor, the formation volume factor of the reservoir fluid, and the carbon dioxide sequestration efficiency factor to obtain the saline aquifer sequestration potential value.

5. The method according to any one of claims 1 to 4, characterized in that, The formula for calculating the saline aquifer sequestration potential value is: Among them, the Mt(CO2) is the potential value of saline aquifer storage, and the ρ r is the density of carbon dioxide under formation pressure, the h is the reservoir thickness, and the is the porosity of the reservoir, the S wi is the irreducible water saturation of the reservoir, the B is the formation volume factor of the reservoir fluid, the E is the carbon dioxide sequestration efficiency factor, and the min[A’, A] is the target sequestration area.

6. An apparatus for obtaining the potential of saline aquifer storage, characterized in that, Including: An acquisition module for obtaining the study area area of the target area, the density of carbon dioxide under formation pressure, the reservoir thickness, the reservoir porosity, the irreducible water saturation of the reservoir, the formation volume factor of the reservoir fluid, and the carbon dioxide sequestration efficiency factor, and obtaining the formation data of the target area in different formations; A determination module for determining the estimated sequestration area corresponding to different formations based on the formation data; A selection module for determining the target sequestration area based on the study area area and the estimated sequestration area; A calculation module for calculating the saline aquifer sequestration potential value of the target area based on the target sequestration area, the density of carbon dioxide under formation pressure, the reservoir thickness, the reservoir porosity, the irreducible water saturation of the reservoir, the formation volume factor of the reservoir fluid, and the carbon dioxide sequestration efficiency factor.

7. The device according to claim 6, characterized in that, The determination module is further configured to: For any formation, obtain the porosity, permeability, formation pressure, injection pressure, and injection flow rate in the formation data corresponding to the formation; Input the porosity, the permeability, the formation pressure, the injection pressure, and the injection flow rate into a prediction model to obtain a predicted storage area.

8. The device according to claim 6 or 7, characterized in that, The selection module is further configured to: Select the minimum value from the study area and the predicted storage area as the target storage area.

9. The device according to any one of claims 6 to 8, characterized in that The calculation module is further configured to: Subtract 1 from the irreducible water saturation of the reservoir to obtain a saturation factor; Multiply the target storage area, the density of carbon dioxide at formation pressure, the reservoir thickness, the reservoir porosity, the saturation factor, the formation volume factor of the reservoir fluid, and the carbon dioxide storage efficiency factor to obtain the saline aquifer storage potential value.

10. An electronic device, characterized in that, Comprising a memory and a processor; Wherein, the processor runs a program corresponding to the executable program code by reading the executable program code stored in the memory, so as to implement the method for obtaining the saline aquifer storage potential according to any one of claims 1 to 5.

11. A non-transitory computer-readable storage medium storing computer instructions, wherein, The computer instructions are used to implement the method for obtaining the saline aquifer storage potential according to any one of claims 1 to 5.

12. A computer program product, comprising a computer program, where the computer program is used to implement the method for obtaining the saline aquifer storage potential according to any one of claims 1 to 5 when executed by a processor.

13. A computer program, comprising computer program code, when the computer program code runs on a computer, causing the computer to execute the method for obtaining the saline aquifer storage potential according to any one of claims 1 to 5.

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