Storage medium, CO2 storage site escape emission calculation method, device and equipment

Abstract

The invention discloses a storage medium and a CO2 storage site escape emission calculation method, device and equipment. The method comprises the steps that after a target monitoring area is gridded, the emission amount of carbon dioxide escaping from a storage bottom layer to the ground surface in each grid is obtained; accumulating the carbon dioxide emissions of the grids to generate CO2 geological dissipation emissions of the target monitoring area in a preset statistical period; acquiring monitoring data of each preset point location; according to the monitoring data, the emission amount of carbon dioxide escaping in the conveying process of the carbon dioxide separated from the produced gas is calculated through a preset algorithm; according to the CO2 geological dissipation emission and the emission of the carbon dioxide dissipated in the conveying process of the carbon dioxide separated from the produced gas, the dissipation emission of the CO2 storage site is calculated. According to the method, the CO2 geological dissipation emission amount and the carbon dioxide emission amount dissipated in the conveying process are added, and the CO2 storage site dissipation emission amount of the whole target monitoring area in the statistical period is comprehensively and accurately obtained.

Description

Technical Field

[0001] The present invention relates to the CCUS field, and in particular to storage media, CO2 storage site fugitive emission calculation methods, devices and equipment. Background Art

[0002] Carbon capture, utilization, and storage (CCUS) is the process of separating CO2 from industrial processes, energy use, or the atmosphere and directly utilizing or injecting it into formations to permanently reduce CO2 emissions. Based on the technical process, CCUS is divided into carbon capture, carbon transportation, carbon utilization, and carbon storage.

[0003] Carbon dioxide storage is the most effective option for reducing emissions and meeting international climate change goals. Oil and gas fields are currently one of the most suitable locations for storing carbon dioxide. Carbon dioxide capture and oil recovery storage, as one of the most effective ways to reduce carbon emissions at this stage, can not only store large amounts of carbon dioxide but also increase oil production. It is currently the most feasible technical means to achieve low-carbon utilization of fossil energy.

[0004] After research, the inventors found that the existing CCUS technology has at least the following defects:

[0005] It is not yet possible to accurately quantify the emissions of carbon dioxide from storage sites.

[0006] The information disclosed in this background technology section is only intended to enhance understanding of the overall background of the invention and should not be regarded as an admission or any form of suggestion that the information constitutes the prior art already known to a person skilled in the art. Summary of the Invention

[0007] The purpose of the present invention is to be able to accurately quantitatively calculate the escape of carbon dioxide from a storage site.

[0008] The present invention provides a method for calculating fugitive emissions from a CO2 storage site, comprising the steps of:

[0009] S11. After the target monitoring area is gridded, the amount of carbon dioxide emissions from the storage bottom layer to the surface after storage in each grid is obtained;

[0010] S12, accumulating the carbon dioxide emissions of each grid to generate the CO2 geological fugitive emissions of the target monitoring area within a preset statistical period;

[0011] S13. Acquire monitoring data at each preset point, including: the carbon dioxide flow rate at the end of the separation pipeline at the pressure reducing station, the carbon dioxide flow rate at the front end of the gas injection pipeline at the reinjection well, the temperature and pressure of the injected carbon dioxide gas at the reinjection wellhead, and measure the volume fraction of carbon dioxide in the injected gas at the reinjection wellhead;

[0012] S14. Calculating the amount of carbon dioxide emissions released during transportation of the carbon dioxide separated from the produced gas using a preset algorithm based on the monitoring data of each of the preset points within the preset statistical period;

[0013] S15. Calculate the CO2 storage site fugitive emissions based on the CO2 geological fugitive emissions and the CO2 emissions released during transportation of the carbon dioxide separated from the produced gas.

[0014] In another aspect of the present invention, a device for calculating fugitive emissions from a CO2 storage site is provided, comprising:

[0015] The grid monitoring unit is used to grid the target monitoring area and obtain the carbon dioxide emissions from the storage bottom layer to the surface in each grid;

[0016] A geological escape statistics unit, configured to accumulate the carbon dioxide emissions of each grid to generate the CO2 geological escape emissions of the target monitoring area within a preset statistical period;

[0017] The point monitoring unit is used to obtain monitoring data at each preset point, including: the carbon dioxide flow rate at the end of the separation pipeline of the pressure distribution station, the carbon dioxide flow rate at the front end of the gas injection pipeline of the reinjection well, the temperature and pressure of the injected carbon dioxide gas at the reinjection wellhead, and the volume fraction of carbon dioxide in the injected gas at the reinjection wellhead;

[0018] A transport emission statistics unit, configured to calculate the amount of carbon dioxide emissions emitted during the transport of the carbon dioxide separated from the produced gas using a preset algorithm based on the monitoring data of each of the preset points within the preset statistical period;

[0019] The site fugitive emission statistics unit is used to calculate the CO2 storage site fugitive emissions based on the CO2 geological fugitive emissions and the carbon dioxide emissions escaped during the transportation of the carbon dioxide separated from the produced gas.

[0020] On the other hand, an embodiment of the present invention further provides a CO2 storage site fugitive emission calculation device, which includes a computer program stored on a medium, and the computer program includes program instructions. When the program instructions are executed by a computer, the computer executes the methods described in the above aspects and achieves the same technical effects.

[0021] On the other hand, a storage medium is provided on which a computer program is stored. When the computer program is executed by a processor, each step of the method for calculating fugitive emissions from a CO2 storage site as described in any one of the above items is implemented.

[0022] Compared with the prior art, the present invention has the following beneficial effects:

[0023] The present invention performs separate statistical calculations based on two methods of generating fugitive emissions from CO2 storage sites. On the one hand, in order to accurately collect geological fugitive data from the target monitoring area, in an embodiment of the present invention, the target monitoring area is gridded, and then the corresponding emissions of each grid are collected to obtain and calculate the overall CO2 geological fugitive emissions from the target monitoring area within the statistical period. On the other hand, in the present invention, in view of the fact that the escape of carbon dioxide during transportation is difficult to directly measure, the correlation between the temperature and pressure of the carbon dioxide gas injected into the reinjection well and the fugitive emissions is utilized. In this way, based on monitoring data such as the temperature and pressure of the carbon dioxide gas injected into the reinjection well, the carbon dioxide emissions escaped during transportation are indirectly inferred through a preset algorithm. In this way, the fugitive emissions from the CO2 storage site in the entire target monitoring area within the statistical period can be comprehensively and accurately calculated.

[0024] The above description is only an overview of the technical solution of the present invention. In order to more clearly understand the technical means of the present invention and to implement it according to the contents of the specification, and to make the above and other purposes, technical features and advantages of the present invention easier to understand, one or more preferred embodiments are listed below and described in detail with reference to the accompanying drawings. BRIEF DESCRIPTION OF THE DRAWINGS

[0025] Figure 1 is a step diagram of the method for calculating fugitive emissions from CO2 storage sites described in the present invention;

[0026] Figure 2 It is a schematic diagram of the structure of the CO2 storage site fugitive emission calculation device of the present invention;

[0027] Figure 3 It is a structural schematic diagram of the CO2 storage site fugitive emission calculation device described in the present invention. DETAILED DESCRIPTION

[0028] The specific embodiments of the present invention are described in detail below with reference to the accompanying drawings, but it should be understood that the protection scope of the present invention is not limited by the specific embodiments.

[0029] Unless expressly stated otherwise, throughout the specification and claims, the term “comprise” or variations such as “include” or “comprising” will be understood to include the stated elements or components but not to exclude other elements or components.

[0030] In this document, for ease of description, spatially relative terms such as "below," "beneath," "down," "above," "above," etc. may be used to describe the relationship of one element or feature to another element or feature in the accompanying drawings. It should be understood that the spatially relative terms are intended to encompass different orientations of an object in use or operation in addition to the orientation depicted in the drawings. For example, if the object in the figure is turned over, the element described as being "below" or "below" other elements or features will be oriented "above" the element or feature. Therefore, the exemplary term "below" can include both below and above directions. Objects may also have other orientations (rotated 90 degrees or other orientations) and the spatially relative terms used herein should be interpreted accordingly.

[0031] In this document, the terms "first", "second", etc. are used to distinguish two different elements or parts, and are not used to limit specific positions or relative relationships. In other words, in some embodiments, the terms "first", "second", etc. can also be interchangeable with each other.

[0032] Example 1

[0033] In order to accurately quantify the emissions from carbon dioxide storage sites, Figure 1 As shown, in an embodiment of the present invention, a method for calculating fugitive emissions from a CO2 storage site is provided, comprising the steps of:

[0034] S11. After the target monitoring area is gridded, the amount of carbon dioxide emissions from the storage bottom layer to the surface after storage in each grid is obtained;

[0035] During the carbon dioxide storage process, fugitive emissions mainly occur in geological fugitive emissions in the storage area and fugitive emissions during pipeline transportation; therefore, the idea in the embodiments of the present invention includes separately counting the emissions of geological fugitives (CO2 geological fugitives) occurring in the storage area and the fugitive emissions during pipeline transportation.

[0036] In order to accurately collect geological emission data in the target monitoring area, in an embodiment of the present invention, the target monitoring area is gridded, and then the corresponding emission amount is collected for each grid.

[0037] In this embodiment of the present invention, the target monitoring area can be defined by extending outward by 1 km based on the geographic area of ​​the project's oil recovery and storage site. In actual applications, the grid size is determined based on the size of the target monitoring area; typically, grid sizes include: 0.5 km × 0.5 km, 1 km × 1 km, 2 km × 2 km, or 5 km × 5 km square grids.

[0038] At each grid, the amount of carbon dioxide emissions from geological escape (ie, the amount of escape) in the grid can be collected by a carbon dioxide monitoring device such as a closed-circuit vorticity measurement device or a carbon dioxide flux monitor.

[0039] In actual scenarios, some grids in the target monitoring area may not be able to be equipped with carbon dioxide monitoring devices. In this case, at least two carbon dioxide monitoring devices can be arranged in the adjacent grids (including the adjacent grids upwind of the dominant wind direction and the adjacent grids downwind) of the target monitoring area (i.e., the grids where carbon dioxide monitoring devices cannot be installed). Then, the amount of carbon dioxide emissions from geological escape in the grids where carbon dioxide monitoring devices cannot be installed can be estimated by taking the average or median.

[0040] S12, accumulating the carbon dioxide emissions of each grid to generate the CO2 geological fugitive emissions of the target monitoring area within a preset statistical period;

[0041] In the embodiment of the present invention, a statistical period for calculating fugitive emissions from a CO2 storage site may be set. Generally, the statistical period may be set to one year.

[0042] In this way, the overall CO2 geological fugitive emissions of the target monitoring area within a statistical period can be calculated based on the continuous data collected by each carbon dioxide monitoring device within a statistical period.

[0043] S13. Acquire monitoring data at each preset point, including: the carbon dioxide flow rate at the end of the separation pipeline at the pressure reducing station, the carbon dioxide flow rate at the front end of the gas injection pipeline at the reinjection well, the temperature and pressure of the injected carbon dioxide gas at the reinjection wellhead, and measure the volume fraction of carbon dioxide in the injected gas at the reinjection wellhead;

[0044] On the other hand, the embodiments of the present invention also collect statistics on fugitive emissions during pipeline transportation. In this part of the technical solution, the inventive concept includes: calculating the fugitive emissions by monitoring data such as the temperature and pressure of the carbon dioxide gas injected into the reinjection well as the receiving device. The specific principle is:

[0045] When calculating fugitive emissions, the density of carbon dioxide is a necessary parameter. However, measuring the density directly by extracting gas from a pipeline or wellhead is cumbersome, and the time and method of extracting gas can affect the density, resulting in inaccurate results. The inventors have discovered through research that the density of a gas is related to changes in temperature and pressure, and the pattern of change can be calculated using Formula 2. Therefore, in an embodiment of the present invention, the temperature and pressure of the carbon dioxide gas injected into the reinjection well are monitored. This allows the change in carbon dioxide concentration to be calculated by recording the change in real time, resulting in higher accuracy and sensitivity. After obtaining the density, the fugitive emissions can be further calculated using Formula 1.

[0046] Based on the above inventive ideas, in an embodiment of the present invention, it is necessary to collect the carbon dioxide flow rate at the end of the separation pipeline of the pressure reducing station, the carbon dioxide flow rate at the front end of the gas injection pipeline of the reinjection well, the temperature and pressure of the injected carbon dioxide gas at the reinjection wellhead, and the volume fraction of carbon dioxide in the injected gas at the wellhead of the reinjection well.

[0047] In practical applications, the monitoring data, equipment and methods used to calculate the amount of carbon dioxide emissions released during transportation can be:

[0048] Gas flow meters are installed at the end of the separation pipeline of the pressure reducing station and at the front end of the gas injection pipeline of the reinjection well to collect the carbon dioxide flow; a pressure gauge and a thermometer are installed at the wellhead of the reinjection well to monitor the temperature and pressure of the carbon dioxide gas injected at the wellhead of the reinjection well; a carbon dioxide rapid measuring instrument is used to measure the volume fraction of carbon dioxide in the injected gas at the wellhead of the reinjection well.

[0049] The monitoring data in the embodiment of the present invention may be recorded in a specific example in the form shown in the following tables:

[0050]

[0051]

[0052]

[0053]

[0054] Data / Parameter Name <![CDATA[P riw,n,B,j,y ]]> Data Description The pressure of the fluid injected into the reinjection well in year y Data Unit Pa Data Source pressure gauge Monitoring point requirements The monitoring instrument is located at the injection well inlet behind the distribution skid branch. Monitoring instrument requirements The accuracy level is 1.5 Monitoring procedures and method requirements - Monitoring frequency and record requirements Continuous monitoring, recording once a day Quality Assurance / Quality Control Program Requirements The pressure of the fluid should be fully measured using regularly calibrated measuring equipment

[0055] Data / Parameter Name <![CDATA[T riw,n,B,j,y ]]> Data Description The temperature of the fluid injected into the reinjection well in year y Data Unit K Data Source thermometer Monitoring point requirements The monitoring instrument is located at the injection well inlet behind the distribution skid branch. Monitoring instrument requirements The accuracy level is 1.0 Monitoring procedures and method requirements - Monitoring frequency and record requirements Continuous monitoring, recording once a day Quality Assurance / Quality Control Program Requirements The temperature of the fluid should be fully measured using regularly calibrated measuring equipment

[0056] S14. Calculating the amount of carbon dioxide emissions released during transportation of the carbon dioxide separated from the produced gas using a preset algorithm based on the monitoring data of each of the preset points within the preset statistical period;

[0057] After obtaining all monitoring data from each preset point within the statistical period (i.e., the carbon dioxide flow rate at the end of the separation pipeline at the pressure reducing station, the carbon dioxide flow rate at the front end of the injection pipeline at the reinjection well, the temperature and pressure of the injected carbon dioxide gas at the reinjection wellhead, and the volume fraction of carbon dioxide in the injected gas measured at the reinjection wellhead), the carbon dioxide emissions released during the transportation of carbon dioxide separated from the produced gas can be calculated according to the preset algorithm. Specifically:

[0058] PE ri,transport,y =(V F,g,CO2,y -∑ j V F,riw,j,y )*ω riw,F,V,j,y *ρ riw,n,CO2,n,B,j,y , (Formula 1);

[0059]

[0060] In Formula 1 and Formula 2, PE riw,transport,y is the amount of carbon dioxide emissions released during the transportation of carbon dioxide separated from produced gas in year y, in tons of carbon dioxide (tCO2e);

[0061] V F,g,CO2,y The annual cumulative value of the volume of the reinjected gas separated at the gas separation and boosting station in year y, in cubic meters (m 3 );

[0062] V F,riw,j,y The annual cumulative value of the volume of reinjected gas injected into the jth reinjection well in year y, in cubic meters (m 3 );

[0063] ω riw,F,V,j,y is the annual average volumetric concentration of carbon dioxide in the fluid injected into the reinjection well in year y, dimensionless;

[0064] ρ riw,CO2,n,B,j,y is the annual average value of the carbon dioxide density injected into the reinjection well in year y, g / cm3 (g / cm 3 ).

[0065] P riw,n,B,j,y is the annual average value of the pressure of the fluid injected into the reinjection well in year y, in Pascal (Pa);

[0066] MM CO2 is the molar mass of carbon dioxide injected into the reinjection well in year y, 44.01 kg / kmol;

[0067] T riw,n,B,j,y is the annual average temperature of the fluid injected into the reinjection well in year y, in Kelvin (K);

[0068] Ru is the ideal gas constant, 8314 Pascal·m3 / kmol·Kelvin (Pa·m 3 / kmol·K).

[0069] S15. Calculate the CO2 storage site fugitive emissions based on the CO2 geological fugitive emissions and the CO2 emissions released during transportation of the carbon dioxide separated from the produced gas.

[0070] After counting the CO2 geological fugitive emissions and the CO2 emissions emitted during the transportation of CO2 separated from produced gas, the total fugitive emissions from the CO2 storage site in the entire target monitoring area during the statistical period can be obtained.

[0071] To sum up, the embodiment of the present invention performs separate statistical calculations based on two methods of generating fugitive emissions from CO2 storage sites; on the one hand, in order to accurately collect geological fugitive data from the target monitoring area, in the embodiment of the present invention, the target monitoring area is gridded, and then the corresponding emissions of each grid are collected to obtain the calculated CO2 geological fugitive emissions of the target monitoring area as a whole within the statistical period.

[0072] On the other hand, the embodiments of the present invention utilize the correlation between the temperature and pressure of the carbon dioxide gas injected into the reinjection well and the amount of carbon dioxide emissions emitted during transportation, as it is difficult to directly measure the amount of carbon dioxide emissions. Thus, based on monitoring data such as the temperature and pressure of the carbon dioxide gas injected into the reinjection well, a preset algorithm is used to indirectly infer the amount of carbon dioxide emissions emitted during transportation. This allows for a comprehensive and accurate calculation of the amount of carbon dioxide emissions emitted from a CO2 storage site within the entire target monitoring area during the statistical period.

[0073] Example 2

[0074] In another aspect of the embodiment of the present invention, a device for calculating fugitive emissions from a CO2 storage site is also provided. Figure 2 The structure diagram of the CO2 storage site fugitive emission calculation device provided by the embodiment of the present invention is shown. The CO2 storage site fugitive emission calculation device is Figure 1 The device corresponding to the method for calculating fugitive emissions from CO2 storage sites described in the corresponding embodiment, that is, the device is implemented by means of a virtual device. Figure 1 In the corresponding embodiment of the CO2 storage site fugitive emissions calculation method, each virtual module constituting the CO2 storage site fugitive emissions calculation device can be executed by an electronic device, such as a network device, a terminal device, or a server. Specifically, the CO2 storage site fugitive emissions calculation device in the embodiment of the present invention includes:

[0075] The grid monitoring unit 01 is used to grid the target monitoring area and obtain the carbon dioxide emissions from the storage bottom layer to the surface in each grid;

[0076] The geological escape statistics unit 02 is used to accumulate the carbon dioxide emissions of each grid to generate the CO2 geological escape emissions of the target monitoring area within a preset statistical period;

[0077] The point monitoring unit 03 is used to obtain monitoring data for each preset point, including: the carbon dioxide flow rate at the end of the separation pipeline of the pressure distribution station, the carbon dioxide flow rate at the front end of the injection pipeline of the reinjection well, the temperature and pressure of the injected carbon dioxide gas at the reinjection wellhead, and the volume fraction of carbon dioxide in the injected gas at the reinjection wellhead;

[0078] The transport emission statistics unit 04 is used to calculate the carbon dioxide emissions emitted during the transport of the carbon dioxide separated from the produced gas using a preset algorithm based on the monitoring data of each of the preset points within the preset statistical period;

[0079] The site fugitive emission statistics unit 05 is used to calculate the CO2 storage site fugitive emission amount based on the CO2 geological fugitive emission amount and the carbon dioxide emission amount fugitive from the carbon dioxide separated from the produced gas during transportation.

[0080] Since the working principle and beneficial effects of the CO2 storage site fugitive emission calculation device in the embodiment of the present invention have been Figure 1 The corresponding calculation method for fugitive emissions from CO2 storage sites is also recorded and explained, so they can be cross-referenced and will not be repeated here.

[0081] Example 3

[0082] Corresponding to the method embodiments, embodiments of the present invention also provide a device for calculating fugitive emissions from a CO2 storage site, such as a terminal or server. The server can be a standalone physical server, a server cluster or distributed system composed of multiple physical servers, or a cloud server that provides basic cloud computing services such as cloud services, cloud databases, cloud computing, cloud functions, cloud storage, network services, cloud communications, middleware services, domain name services, security services, CDN, and big data and artificial intelligence platforms. The terminal can be, but is not limited to, a smartphone, tablet computer, laptop computer, or desktop computer.

[0083] An example diagram of a hardware structure block diagram of a CO2 storage site fugitive emission calculation device provided by an embodiment of the present invention is shown in FIG. Figure 3 As shown, this may include:

[0084] Processor 1, communication interface 2, memory 3 and communication bus 4;

[0085] The processor 1, the communication interface 2, and the memory 3 communicate with each other via the communication bus 4;

[0086] Optionally, the communication interface 2 may be an interface of a communication module, such as an interface of a GSM module;

[0087] The processor 1 may be a central processing unit (CPU), or an application-specific integrated circuit (ASIC), or one or more integrated circuits configured to implement the embodiments of the present application.

[0088] The memory 3 may include a high-speed RAM memory, and may also include a non-volatile memory (non-volatile memory), such as at least one disk memory.

[0089] The processor 1 is specifically configured to execute the computer program stored in the memory 3 to perform the following steps:

[0090] S11. After the target monitoring area is gridded, the amount of carbon dioxide emissions from the storage bottom layer to the surface after storage in each grid is obtained;

[0091] S12, accumulating the carbon dioxide emissions of each grid to generate the CO2 geological fugitive emissions of the target monitoring area within a preset statistical period;

[0092] S13. Acquire monitoring data at each preset point, including: the carbon dioxide flow rate at the end of the separation pipeline at the pressure reducing station, the carbon dioxide flow rate at the front end of the gas injection pipeline at the reinjection well, the temperature and pressure of the injected carbon dioxide gas at the reinjection wellhead, and measure the volume fraction of carbon dioxide in the injected gas at the reinjection wellhead;

[0093] S14. Calculating the amount of carbon dioxide emissions released during transportation of the carbon dioxide separated from the produced gas using a preset algorithm based on the monitoring data of each of the preset points within the preset statistical period;

[0094] S15. Calculate the CO2 storage site fugitive emissions based on the CO2 geological fugitive emissions and the CO2 emissions released during transportation of the carbon dioxide separated from the produced gas.

[0095] The above-mentioned product can execute the method provided by the embodiment of the present invention and has the corresponding functional modules and beneficial effects of executing the method. For technical details not fully described in this embodiment, please refer to the CO2 storage site fugitive emission calculation method provided by the embodiment of the present invention.

[0096] Example 4

[0097] In an embodiment of the present invention, a storage medium is further provided. The storage medium may store a program suitable for execution by a processor, wherein the program is used to:

[0098] S11. After the target monitoring area is gridded, the amount of carbon dioxide emissions from the storage bottom layer to the surface after storage in each grid is obtained;

[0099] S12, accumulating the carbon dioxide emissions of each grid to generate the CO2 geological fugitive emissions of the target monitoring area within a preset statistical period;

[0100] S13. Acquire monitoring data at each preset point, including: the carbon dioxide flow rate at the end of the separation pipeline at the pressure reducing station, the carbon dioxide flow rate at the front end of the gas injection pipeline at the reinjection well, the temperature and pressure of the injected carbon dioxide gas at the reinjection wellhead, and measure the volume fraction of carbon dioxide in the injected gas at the reinjection wellhead;

[0101] S14. Calculating the amount of carbon dioxide emissions released during transportation of the carbon dioxide separated from the produced gas using a preset algorithm based on the monitoring data of each of the preset points within the preset statistical period;

[0102] S15. Calculate the CO2 storage site fugitive emissions based on the CO2 geological fugitive emissions and the CO2 emissions released during transportation of the carbon dioxide separated from the produced gas.

[0103] Optionally, the detailed functions and extended functions of the program may refer to the above description.

[0104] The above-mentioned product can execute the method provided by the embodiment of the present invention, and has the functional modules and beneficial effects corresponding to the execution method. For technical details not fully described in this embodiment, please refer to the methods provided by other embodiments of the present invention.

[0105] Those skilled in the art will appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of this application.

[0106] In the several embodiments provided herein, it should be understood that the disclosed systems, devices, and methods may be implemented in other ways. Furthermore, the couplings or direct couplings or communication connections shown or discussed may be indirect couplings or communication connections through interfaces, devices, or units, and may be electrical, mechanical, or other forms.

[0107] The units described as separate components may or may not be physically separate, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed across multiple network units. Some or all of these units may be selected to achieve the purpose of this embodiment according to actual needs.

[0108] In addition, each functional unit in each embodiment of the present application may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit.

[0109] It should be understood that in the embodiments of the present application, the various embodiments and features can be combined with each other to solve the aforementioned technical problems.

[0110] If the functions are implemented in the form of software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present application, or the part that contributes to the prior art or the part of the technical solution, can be embodied in the form of a software product. The computer software product is stored in a storage medium and includes several instructions for enabling a computer device (which can be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the method described in each embodiment of the present application. The aforementioned storage medium includes various media that can store program codes, such as a USB flash drive, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk.

[0111] The above description of the disclosed embodiments is intended to enable one skilled in the art to implement or use the present application. Various modifications to these embodiments will be readily apparent to one skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the present application. Therefore, the present application is not limited to the embodiments shown herein, but is intended to conform to the widest scope consistent with the principles and novel features disclosed herein.

Claims

1. A method for calculating fugitive emissions from a CO2 storage site, characterized in that: Including steps: S11. After the target monitoring area is gridded, the amount of carbon dioxide emissions from the storage bottom layer to the surface after storage in each grid is obtained; S12, accumulating the carbon dioxide emissions of each grid to generate the CO2 geological fugitive emissions of the target monitoring area within a preset statistical period; S13. Acquire monitoring data at each preset point, including: the carbon dioxide flow rate at the end of the separation pipeline at the pressure reducing station, the carbon dioxide flow rate at the front end of the gas injection pipeline at the reinjection well, the temperature and pressure of the injected carbon dioxide gas at the reinjection wellhead, and measure the volume fraction of carbon dioxide in the injected gas at the reinjection wellhead; S14, calculating the amount of carbon dioxide emissions released during transportation of carbon dioxide separated from the produced gas using a preset algorithm based on the monitoring data of each of the preset points within the preset statistical period; S15. Calculate the CO2 storage site fugitive emissions based on the CO2 geological fugitive emissions and the CO2 emissions released during transportation of the carbon dioxide separated from the produced gas.

2. The method for calculating fugitive emissions from a CO2 storage site according to claim 1, characterized in that: The grid includes: The specifications are square grids of 0.5km×0.5km, 1km×1km, 2km×2km or 5km×5km.

3. The method for calculating fugitive emissions from a CO2 storage site according to claim 2, wherein: Carbon dioxide monitoring devices for collecting carbon dioxide emissions include: Closed-circuit eddy current measurement device or CO2 flux monitor.

4. The method for calculating fugitive emissions from a CO2 storage site according to claim 3, wherein: The arrangement of the carbon dioxide monitoring device includes: The carbon dioxide monitoring device is respectively deployed in each grid that meets the deployment conditions; For grids that do not meet the deployment conditions, no less than two of the carbon dioxide monitoring devices shall be arranged in the adjacent grids upwind of the prevailing wind direction and in the adjacent grids downwind.

5. The method for calculating fugitive emissions from a CO2 storage site according to claim 4, characterized in that: The method for obtaining the monitoring data includes: Gas flow meters are installed at the end of the separation pipeline at the pressure distribution station and at the front end of the gas injection pipeline at the reinjection well to collect the carbon dioxide flow; A pressure gauge and a thermometer are installed at the wellhead of the reinjection well to monitor the temperature and pressure of the injected carbon dioxide gas; The volume fraction of carbon dioxide in the injected gas at the wellhead of the reinjection well is measured using a carbon dioxide rapid measuring instrument.

6. The method for calculating fugitive emissions from a CO2 storage site according to claim 5, characterized in that: The preset statistical period is one year.

7. The method for calculating fugitive emissions from a CO2 storage site according to claim 6, characterized in that: The preset algorithm includes: INSTEAD ri,transport,y (V F,g,CO2,y -∑ j V F,riw,j,y )*ω riw,F,V,j,y *ρ riw,n,co2,n,B,j,y , (Formula 1); In Formula 1 and Formula 2, PE riw,transport,y is the amount of carbon dioxide emissions released during the transportation of carbon dioxide separated from produced gas in year y, in tons of carbon dioxide (tCO2e); V F,g,CO2,y The annual cumulative value of the volume of the reinjected gas separated at the gas separation and boosting station in year y, in cubic meters (m 3 ); V F,riw,j,y The annual cumulative value of the volume of reinjected gas injected into the jth reinjection well in year y, in cubic meters (m 3 ); ω riw,F,V,j,y is the annual average volumetric concentration of carbon dioxide in the fluid injected into the reinjection well in year y, dimensionless; ρ riw,CO2,n,B,j,y is the annual average value of the carbon dioxide density injected into the reinjection well in year y, g / cm3 (g / cm 3 ). P riw,n,B,j,y is the annual average value of the pressure of the fluid injected into the reinjection well in year y, in Pascal (Pa); MM CO2 is the molar mass of carbon dioxide injected into the reinjection well in year y, 44.01 kg / kmol; T riw,n,B,j,y is the annual average temperature of the fluid injected into the reinjection well in year y, in Kelvin (K); R u is the ideal gas constant, 8314 Pascal·m3 / kmol·Kelvin (Pa·m 3 / kmol·K).

8. A CO2 storage site fugitive emission calculation device, characterized in that: include: The grid monitoring unit is used to grid the target monitoring area and obtain the carbon dioxide emissions from the storage bottom layer to the surface in each grid; A geological escape statistics unit, configured to accumulate the carbon dioxide emissions of each grid to generate the CO2 geological escape emissions of the target monitoring area within a preset statistical period; The point monitoring unit is used to obtain monitoring data at each preset point, including: the carbon dioxide flow rate at the end of the separation pipeline of the pressure distribution station, the carbon dioxide flow rate at the front end of the gas injection pipeline of the reinjection well, the temperature and pressure of the injected carbon dioxide gas at the reinjection wellhead, and the volume fraction of carbon dioxide in the injected gas at the reinjection wellhead; A transport emission statistics unit, configured to calculate the amount of carbon dioxide emissions emitted during the transport of the carbon dioxide separated from the produced gas using a preset algorithm based on the monitoring data of each of the preset points within the preset statistical period; The site fugitive emission statistics unit is used to calculate the CO2 storage site fugitive emissions based on the CO2 geological fugitive emissions and the carbon dioxide emissions escaped during the transportation of the carbon dioxide separated from the produced gas.

9. The CO2 storage site fugitive emission calculation device according to claim 8, characterized in that: The preset statistical period is one year.

10. The CO2 storage site fugitive emission calculation device according to claim 9, characterized in that: The preset algorithm includes: INSTEAD ri,transport,y (V F,g,CO2,y -∑ j V F,riw,j,y )*ω riw,F,V,j,y *ρ riw,n,CO2,n,B,j,y , (Formula 1); In Formula 1 and Formula 2, PE riw,transport,y is the amount of carbon dioxide emissions released during the transportation of carbon dioxide separated from produced gas in year y, in tons of carbon dioxide (tCO2e); V F,g,CO2,y The annual cumulative value of the volume of the reinjected gas separated at the gas separation and boosting station in year y, in cubic meters (m 3 ); V F,riw,j,y The annual cumulative value of the volume of reinjected gas injected into the jth reinjection well in year y, in cubic meters (m 3 ); ω riw,F,V,j,y is the annual average volumetric concentration of carbon dioxide in the fluid injected into the reinjection well in year y, dimensionless; ρ riw,CO2,n,B,j,y is the annual average value of the carbon dioxide density injected into the reinjection well in year y, g / cm3 (g / cm 3 ). P riw,n,B,j,y is the annual average value of the pressure of the fluid injected into the reinjection well in year y, in Pascal (Pa); MM CO2 is the molar mass of carbon dioxide injected into the reinjection well in year y, 44.01 kg / kmol; T riw,n,B,j,y is the annual average temperature of the fluid injected into the reinjection well in year y, in Kelvin (K); R u is the ideal gas constant, 8314 Pascal·m3 / kmol·Kelvin (Pa·m 3 / kmol·K).

11. A CO2 storage site fugitive emission calculation device, characterized in that: include: memory for storing computer programs; A processor is used to call and execute the computer program to implement the steps of the method for calculating fugitive emissions from a CO2 storage site as described in any one of claims 1 to 7.

12. A storage medium, characterized in that: The method comprises a software program adapted to enable a processor to execute the steps of the method for calculating fugitive emissions from a CO2 storage site as claimed in any one of claims 1 to 7.

Images