Carbon dioxide electromagnetic monitoring identification method, device, equipment and medium

Abstract

The invention provides a carbon dioxide electromagnetic monitoring and identification method, device and equipment and a medium, and the method comprises the steps: carrying out a carbon dioxide core displacement experiment under the conditions of multiple groups of temperature and pressure preset conditions and oil-containing preset conditions, and obtaining core resistivity data; logging information of the research area is obtained; performing forward modeling according to the logging information and multiple groups of target layer thickness preset conditions and target layer resistivity preset conditions to obtain absolute abnormal peak voltage data; obtaining absolute abnormal difference voltage data according to the core resistivity data and the absolute abnormal peak voltage data; and determining a carbon dioxide electromagnetic monitoring identification template according to a preset absolute abnormal difference voltage division standard and the absolute abnormal difference voltage data. According to the invention, the feasibility of carbon dioxide electromagnetic monitoring identification and the accuracy of the identification result can be judged.

Description

Technical Field

[0001] The present application relates to the technical field of oil and gas exploration and development, and in particular to a method, device, equipment and medium for electromagnetic monitoring and identification of carbon dioxide. Background Art

[0002] At present, wide-area electromagnetic method is a new technical means of carbon dioxide monitoring. It can be used to monitor the location of carbon dioxide in the formation, but the monitoring and identification results are affected by the oil-bearing properties of the target layer rock. The feasibility of wide-area electromagnetic method for monitoring carbon dioxide under different temperature and pressure conditions and different oil saturations of the target layer still needs to be demonstrated. Summary of the invention

[0003] The present application aims to propose a method, device, equipment and medium for electromagnetic monitoring and identification of carbon dioxide, so as to realize the feasibility of electromagnetic monitoring and identification of carbon dioxide and the accuracy of its identification results.

[0004] According to the first aspect of the present application, the method for electromagnetic monitoring and identifying carbon dioxide includes:

[0005] Under multiple groups of preset temperature and pressure conditions and preset oil content conditions, a carbon dioxide core displacement experiment is performed to obtain core resistivity data, wherein the core resistivity data includes core resistivity change data corresponding to each group of the preset temperature and pressure conditions and the preset oil content conditions;

[0006] Obtain well logging data in the study area;

[0007] Perform forward modeling according to the well logging data and multiple sets of target layer thickness preset conditions and target layer resistivity preset conditions to obtain absolute abnormal peak voltage data, wherein the absolute abnormal peak voltage data includes the absolute abnormal peak voltage corresponding to each set of the target layer thickness preset conditions and the target layer resistivity preset conditions;

[0008] According to the core resistivity data and the absolute abnormal peak voltage data, absolute abnormal difference voltage data are obtained, wherein the absolute abnormal difference voltage data includes the absolute abnormal difference voltage corresponding to each group of the temperature and pressure preset conditions, the oil content preset conditions and the target layer thickness preset conditions;

[0009] According to the preset absolute abnormal difference voltage classification standard and the absolute abnormal difference voltage data, a carbon dioxide electromagnetic monitoring identification template is determined, and the carbon dioxide electromagnetic monitoring identification template includes an identifiable oil-containing condition range corresponding to each group of the temperature and pressure preset conditions and the target layer thickness preset conditions.

[0010] According to some embodiments of the present application, the carbon dioxide core displacement experiment is carried out under multiple sets of temperature and pressure preset conditions and oil content preset conditions to obtain core resistivity data, including:

[0011] Acquire multiple groups of the preset temperature and pressure conditions and the preset oil content conditions, wherein in each group of the preset temperature and pressure conditions and the preset oil content conditions, the preset temperature and pressure conditions include a group of preset temperature and pressure, and the preset oil content conditions include a preset oil saturation;

[0012] Conducting a carbon dioxide core displacement experiment for each group of preset temperature and pressure conditions and preset oil content conditions to obtain the core resistivity change data for each group of preset temperature and pressure conditions and preset oil content conditions;

[0013] The core resistivity data is obtained according to each group of core resistivity change data.

[0014] According to some embodiments of the present application, a set of the core resistivity change data corresponding to a set of the temperature and pressure preset conditions and the oil content preset conditions includes a set of initial core resistivity and an ending core resistivity.

[0015] According to some embodiments of the present application, each of the absolute abnormal difference voltages is obtained by the following steps:

[0016] Determining a corresponding initial absolute abnormal peak voltage according to the initial core resistivity;

[0017] According to the ending core resistivity, determining a corresponding ending absolute abnormal peak voltage;

[0018] The corresponding absolute abnormal difference voltage is determined according to the initial absolute abnormal peak voltage and the ending absolute abnormal peak voltage, and the absolute abnormal difference voltage is the absolute value of the difference between the initial absolute abnormal peak voltage and the ending absolute abnormal peak voltage.

[0019] According to some embodiments of the present application, determining a carbon dioxide electromagnetic monitoring identification template according to a preset absolute abnormal difference voltage classification standard and the absolute abnormal difference voltage data includes:

[0020] Under the same preset temperature and pressure conditions and the preset target layer thickness conditions, drawing a correlation curve between the oil saturation and the absolute abnormal difference voltage;

[0021] According to the absolute abnormal difference voltage classification standard and the correlation curve, the corresponding identifiable oil saturation range is obtained, and the carbon dioxide electromagnetic monitoring identification template is determined.

[0022] According to some embodiments of the present application, the absolute abnormal difference voltage classification standard includes a basically identifiable absolute abnormal difference voltage classification standard and a stably identifiable absolute abnormal difference voltage classification standard.

[0023] According to some embodiments of the present application, the well logging data includes a well logging curve;

[0024] The forward modeling is performed according to the well logging data and multiple sets of preset conditions for target layer thickness and target layer resistivity to obtain absolute abnormal peak voltage data, including:

[0025] Establishing a basic geoelectric model according to the logging curve;

[0026] Acquire multiple groups of preset conditions for target layer thickness and preset conditions for target layer resistivity, wherein in each group of preset conditions for target layer thickness and preset conditions for target layer resistivity, the preset conditions for target layer thickness include preset target layer thickness, and the preset conditions for target layer resistivity include preset target layer resistivity;

[0027] Establishing multiple fine geoelectric models according to the basic geoelectric model and multiple groups of preset conditions for target layer thickness and target layer resistivity;

[0028] Forward modeling is performed on each of the fine geoelectric models to obtain each of the absolute abnormal peak voltages corresponding to each group of the preset conditions for target layer thickness and the preset conditions for target layer resistivity;

[0029] The absolute abnormal peak voltage data is obtained according to each of the absolute abnormal peak voltages.

[0030] According to the second aspect of the present application, a carbon dioxide electromagnetic monitoring and identification device includes:

[0031] The first obtaining module is used to perform a carbon dioxide core displacement experiment under multiple groups of temperature and pressure preset conditions and oil content preset conditions to obtain core resistivity data, wherein the core resistivity data includes core resistivity change data corresponding to each group of the temperature and pressure preset conditions and oil content preset conditions;

[0032] Acquisition module, used to obtain well logging data in the study area;

[0033] The second obtaining module is used to perform forward modeling according to the logging data and multiple sets of target layer thickness preset conditions and target layer resistivity preset conditions to obtain absolute abnormal peak voltage data, wherein the absolute abnormal peak voltage data includes the absolute abnormal peak voltage corresponding to each set of the target layer thickness preset conditions and the target layer resistivity preset conditions;

[0034] A third obtaining module is used to obtain absolute abnormal difference voltage data according to the core resistivity data and the absolute abnormal peak voltage data, wherein the absolute abnormal difference voltage data includes the absolute abnormal difference voltage corresponding to each group of the temperature and pressure preset conditions, the oil content preset conditions and the target layer thickness preset conditions;

[0035] A determination module is used to determine a carbon dioxide electromagnetic monitoring identification template according to a preset absolute abnormal difference voltage classification standard and the absolute abnormal difference voltage data, wherein the carbon dioxide electromagnetic monitoring identification template includes a corresponding identifiable oil-containing condition range under each group of the temperature and pressure preset conditions and the target layer thickness preset conditions.

[0036] According to an electronic device of an embodiment of the third aspect of the present application, the electronic device includes a processor and a memory, wherein the memory stores programs or instructions that can be run on the processor, and when the programs or instructions are executed by the processor, the steps of the carbon dioxide electromagnetic monitoring and identification method as described in any one of the embodiments of the first aspect are implemented.

[0037] According to the computer-readable storage medium of the fourth aspect embodiment of the present application, computer-executable instructions are stored, and the computer-executable instructions are used to execute the carbon dioxide electromagnetic monitoring and identification method as described in the first aspect embodiment above.

[0038] In the embodiment of the present application, through the carbon dioxide core displacement experiment, the core resistivity change after carbon dioxide enters the target layer rock in the study area is found out, and then the absolute abnormal difference voltage caused by the resistivity change is analyzed, and the absolute abnormal difference voltage is judged according to the preset absolute abnormal difference voltage division standard, so as to realize the feasibility of electromagnetic monitoring and identification and the analysis and judgment of the accuracy of the identification result, and obtain the carbon dioxide electromagnetic monitoring identification template, that is, the range of core oil-bearing conditions that can be identified under various temperature and pressure conditions; carbon dioxide electromagnetic monitoring and identification is carried out based on this identification template, and can accurately know the different target layer temperature and pressure conditions, and the corresponding target layer core oil-bearing condition range can be stably identified using wide-area electromagnetic method. In addition, this application provides theoretical support for practical application scenarios such as wide-area electromagnetic method monitoring of carbon dioxide impact range, storage leakage and real-time monitoring of carbon dioxide advance, which is conducive to the large-scale promotion of electromagnetic method monitoring of carbon dioxide impact range technology.

[0039] Other features and advantages of the present application will be set forth in the following description, and in part will become apparent from the description, or may be understood by practicing the present application. BRIEF DESCRIPTION OF THE DRAWINGS

[0040] The above and / or additional aspects and advantages of the present application will become apparent and easily understood from the description of the embodiments in conjunction with the following drawings, in which:

[0041] Figure 1 It is a flow chart of an embodiment of the carbon dioxide electromagnetic monitoring and identification method of the present application;

[0042] Figure 2 It is a schematic diagram of a device for a carbon dioxide core displacement experiment of an embodiment of the carbon dioxide electromagnetic monitoring and identification method of the present application;

[0043] Figure 3 It is a core resistivity data table of an embodiment of the carbon dioxide electromagnetic monitoring and identification method of the present application;

[0044] Figure 4 It is a table of multiple sets of target layer thickness preset conditions and target layer resistivity preset conditions of one embodiment of the carbon dioxide electromagnetic monitoring and identification method of the present application;

[0045] Figure 5 It is an absolute abnormal peak voltage data table of an embodiment of the carbon dioxide electromagnetic monitoring and identification method of the present application;

[0046] Figure 6 It is an absolute abnormal difference voltage data table of one embodiment of the carbon dioxide electromagnetic monitoring and identification method of the present application;

[0047] Figure 7 It is an intersection diagram of absolute abnormal difference voltage and oil saturation under temperature and pressure conditions of an embodiment of the carbon dioxide electromagnetic monitoring and identification method of the present application;

[0048] Figure 8 It is an intersection diagram of absolute abnormal difference voltage and oil saturation under another temperature and pressure condition of an embodiment of the carbon dioxide electromagnetic monitoring and identification method of the present application;

[0049] Fig. 9 It is an intersection diagram of absolute abnormal difference voltage and oil saturation under another temperature and pressure condition of an embodiment of the carbon dioxide electromagnetic monitoring and identification method of the present application;

[0050] Fig.10 It is an intersection diagram of absolute abnormal difference voltage and oil saturation under another temperature and pressure condition of an embodiment of the carbon dioxide electromagnetic monitoring and identification method of the present application;

[0051] Fig.11 It is an intersection diagram of absolute abnormal difference voltage and oil saturation under another temperature and pressure condition of an embodiment of the carbon dioxide electromagnetic monitoring and identification method of the present application;

[0052] Fig.12 It is an intersection diagram of absolute abnormal difference voltage and oil saturation under another temperature and pressure condition of an embodiment of the carbon dioxide electromagnetic monitoring and identification method of the present application;

[0053] Fig.13 It is a carbon dioxide electromagnetic monitoring identification template of an embodiment of the carbon dioxide electromagnetic monitoring identification method of the present application;

[0054] Fig.14 It is a structural schematic diagram of an embodiment of a carbon dioxide electromagnetic monitoring and identification device of the present application;

[0055] Fig.15 It is a schematic diagram of the hardware structure of an embodiment of the electronic device of the present application. DETAILED DESCRIPTION

[0056] The embodiments of the present application are described in detail below, and examples of the embodiments 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 only used to explain the present application, and cannot be understood as limiting the present application.

[0057] In the description of this application, if there is a description of first, second, etc., it is only for the purpose of distinguishing technical features, and cannot be understood as indicating or implying relative importance or implicitly indicating the number of the indicated technical features or implicitly indicating the order of the indicated technical features.

[0058] In the description of the present application, it should be understood that descriptions involving orientation, such as orientation or positional relationship indicated as up, down, etc., are based on the orientation or positional relationship shown in the drawings, and are only for the convenience of describing the present application and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore should not be understood as a limitation on the present application.

[0059] In the description of this application, it should be noted that, unless otherwise clearly defined, terms such as setting, installing, connecting, etc. should be understood in a broad sense, and technicians in the relevant technical field can reasonably determine the specific meaning of the above terms in this application based on the specific content of the technical solution.

[0060] The technical solution of the present application will be clearly and completely described below in conjunction with the accompanying drawings. Obviously, the embodiments described below are only part of the embodiments of the present application, not all of the embodiments.

[0061] Figure 1 This is a flow chart of the carbon dioxide electromagnetic monitoring and identification method provided in the embodiment of the present application. Figure 1 , the embodiments of the present application are further described.

[0062] The present application embodiment proposes a carbon dioxide electromagnetic monitoring and identification method, which includes the following steps:

[0063] Step 101: Conduct a carbon dioxide core displacement experiment under multiple sets of temperature and pressure preset conditions and oil content preset conditions to obtain core resistivity data, wherein the core resistivity data includes core resistivity change data corresponding to each set of temperature and pressure preset conditions and oil content preset conditions;

[0064] Step 102, obtaining well logging data of the study area;

[0065] Step 103, forward modeling is performed according to the well logging data and multiple sets of target layer thickness preset conditions and target layer resistivity preset conditions to obtain absolute abnormal peak voltage data, the absolute abnormal peak voltage data including the absolute abnormal peak voltage corresponding to each set of target layer thickness preset conditions and target layer resistivity preset conditions;

[0066] Step 104, obtaining absolute abnormal difference voltage data according to the core resistivity data and the absolute abnormal peak voltage data, wherein the absolute abnormal difference voltage data includes the absolute abnormal difference voltage corresponding to each set of temperature and pressure preset conditions, oil content preset conditions and target layer thickness preset conditions;

[0067] Step 105: Determine a carbon dioxide electromagnetic monitoring identification template based on the preset absolute abnormal difference voltage classification standard and the absolute abnormal difference voltage data. The carbon dioxide electromagnetic monitoring identification template includes an identifiable oil-bearing condition range corresponding to each set of temperature and pressure preset conditions and target layer thickness preset conditions.

[0068] In the embodiment of the present application, through the carbon dioxide core displacement experiment, the core resistivity change after carbon dioxide enters the target layer rock in the study area is found out, and then the absolute abnormal difference voltage caused by the resistivity change is analyzed, and the absolute abnormal difference voltage is judged according to the preset absolute abnormal difference voltage division standard, so as to realize the feasibility of electromagnetic monitoring and identification and the analysis and judgment of the accuracy of the identification result, and obtain the carbon dioxide electromagnetic monitoring identification template, that is, the core oil-bearing condition range that can be identified under various temperature and pressure conditions; carbon dioxide electromagnetic monitoring and identification is carried out based on this identification template, and can accurately know the different target layer temperature and pressure conditions, and the corresponding target layer core oil-bearing condition range can be stably identified using wide-area electromagnetic method. In addition, this application provides theoretical support for practical application scenarios such as wide-area electromagnetic method monitoring of carbon dioxide impact range, storage leakage and real-time monitoring of carbon dioxide advance, which is conducive to the large-scale promotion of electromagnetic method monitoring of carbon dioxide impact range technology. At the same time, wide-area electromagnetic method monitoring of carbon dioxide impact range has strong real-time performance, fills the technical shortcomings at home and abroad, and is a new breakthrough.

[0069] The above logging data include but are not limited to natural gamma logging, resistivity logging, sonic time difference logging, density logging, natural potential logging, lithology data, etc. Specific logging data can be selected and used according to actual conditions. Generally, the focus is on the relevant data of resistivity logging.

[0070] The above forward modeling may be wide-area electromagnetic forward modeling.

[0071] In some embodiments, a carbon dioxide core flooding experiment is performed under multiple sets of temperature and pressure preset conditions and oil content preset conditions to obtain core resistivity data, including:

[0072] Acquire multiple groups of temperature and pressure preset conditions and oil content preset conditions, wherein each group of temperature and pressure preset conditions and oil content preset conditions includes a group of preset temperature and pressure, and the oil content preset condition includes a preset oil saturation;

[0073] For each set of temperature and pressure preset conditions and oil content preset conditions, a carbon dioxide core displacement experiment is carried out to obtain each set of core resistivity change data corresponding to each set of temperature and pressure preset conditions and oil content preset conditions;

[0074] The core resistivity data are obtained according to each group of core resistivity change data.

[0075] In this implementation, according to the temperature and pressure conditions and oil content of the target layer in the study area, multiple groups of different temperature and pressure conditions and different core oil saturations are designed, that is, multiple groups of temperature and pressure preset conditions and oil content preset conditions. A carbon dioxide core displacement experiment is carried out separately under each group of conditions, so that the change of core resistivity under different temperature and pressure conditions and core oil saturations can be obtained.

[0076] The above-mentioned preset oil conditions include preset oil saturation. The preset oil saturation can be used to simulate the initial oil saturation of the study area. The initial oil saturation refers to the oil saturation initially existing in the rock pores during the formation and deposition of the oil reservoir. It indicates the proportion of the pore space occupied by oil in the rock when the oil reservoir is formed.

[0077] In some embodiments, a set of core resistivity change data corresponding to a set of temperature and pressure preset conditions and oil content preset conditions includes a set of initial core resistivity and an ending core resistivity.

[0078] In some embodiments, a carbon dioxide core displacement experiment is performed for each set of temperature and pressure preset conditions and oil content preset conditions to obtain each set of core resistivity change data corresponding to each set of temperature and pressure preset conditions and oil content preset conditions, which can be used as a core resistivity monitoring experiment during the carbon dioxide core displacement process.

[0079] The pre-experimental preparation includes the following steps:

[0080] Drill multiple core plugs in the target layer, number them and put them into the Soxhlet extractor in sequence, and use petroleum ether, toluene and ethylene glycol to wash the residual crude oil and inorganic salts multiple times; specifically, 10 core plugs with a length of 8 cm and a diameter of 2.5 cm can be drilled in the target layer; it should be noted that the lithology of the core is not limited to dense sandstone, including all lithology types, such as igneous rock, shale, mudstone, carbonate rock, etc. The number of core plugs is not necessarily 10, and can be increased or decreased according to specific circumstances;

[0081] It should be noted that the above cores all refer to core plungers, which are abbreviated as cores.

[0082] The cleaned core was placed in a thermostatic box and heated to 120°C for drying, and then the gas-tested porosity and permeability of the core were measured;

[0083] Select samples with relatively good gas porosity and permeability results from the cores to reduce the difficulty of subsequent preparation of cores with different oil saturations; to reduce experimental errors, 1-2 core samples can be selected for repeated testing.

[0084] Preparation is carried out using active formation oil to establish different oil-bearing conditions, that is, to establish different core oil saturations; specifically, when establishing core oil saturation, preparation needs to be carried out using active formation oil; active formation oil refers to formation crude oil rich in multi-component organic gases under formation temperature and pressure conditions, and the formation crude oil forms dead oil after degassing on the ground. Specifically, in the present application, pure methane gas can be used instead of multi-component organic gases, and injected into the dead oil obtained from the target layer under formation temperature and pressure conditions to prepare target layer active oil; wherein, the gas-oil ratio is one of the parameters for measuring whether the preparation of active oil meets the standards, and refers to the ratio of the standard volume of gas separated from the formation crude oil after one degassing on the ground to the volume of degassed oil (dead oil) on the ground. The present application needs to prepare target layer active oil within the real gas-oil ratio range; in addition, the target layer formation water needs to be filtered repeatedly step by step through 500-mesh to 3000-mesh filter paper until there is no obvious stain on the filter paper.

[0085] The experimental design includes designing multiple groups of temperature and pressure conditions and multiple groups of oil saturation conditions.

[0086] Specifically, the designed temperature and pressure conditions must conform to the actual conditions of the target layer, and the range should be appropriately expanded on this basis. o It can be designed to be divided into 6 gradients from 0 to 100%, namely 0, 20%, 40%, 60%, 80%, and 100%. However, it should be noted that during the experiment, the higher the oil saturation, the greater the difficulty of preparation. At the same time, in actual situations, there are many factors affecting sample preparation, such as high temperature and high pressure environment, the need to overcome the capillary force inside the core, and the complex core pore permeability conditions. It is difficult to fully achieve the design S o The preparation of S is difficult and can only be as close to the designed S as possible. o, cannot be completely consistent.

[0087] The specific steps to start the experiment are described below.

[0088] The main equipment and connection methods of this experiment are as follows Figure 2 As shown. In order to reduce errors, the containers and pipelines used in the experiment are placed in a constant temperature drying oven, and the temperature of the constant temperature oven is consistent with the temperature of each test group. The target layer live oil, target layer formation water and carbon dioxide are placed in three steel cylinders respectively. The target layer live oil is directly injected into the steel cylinder by the high temperature and high pressure sample preparation instrument for storage. The live oil cylinder needs to maintain the corresponding pressure of the experimental group. The cleaned core is placed in the core holder, assembled and added with a confining pressure of 5MPa, and vacuum is drawn from the inlet until the pressure difference between the inlet and outlet pressure sensors is 0.1MPa, and the connected resistance measuring instrument can work normally.

[0089] In order to measure the resistance at both ends of the core, this experiment made targeted modifications to the Hasler core holder: an electrode sheet was connected to the metal end of the piston limit column, and the electrode sheet was connected to the resistance meter. The resistance meter monitors the electrical signal in real time and reads the resistance value. After pressurizing the core holder, it is ensured that the core only contacts the metal surface of the piston limit columns at both ends inside the holder, so as to obtain more realistic core resistance data. In this experiment, the resistance meter data was read every 30 seconds. The shorter reading interval can more accurately reflect the electrical properties of the two ends of the core. In general, the core resistivity cannot be directly measured in the experiment. The core resistivity is calculated using the following formula:

[0090]

[0091] Where ρ is the core resistivity in Ω·m, R is the core resistance, i.e. the resistance monitoring system reading in Ω, r is the core cross-sectional radius in m, and l is the core length in m.

[0092] When providing different oil-bearing conditions, that is, when preparing cores with different oil saturations, the methods used are different. When preparing cores with an oil saturation of 0-60%, turn on the high-pressure pulse-free metering pump to pressurize the formation water cylinder to 2MPa, open the liquid sealing valve and six-way valve B, make the core completely saturated with formation water, measure the core resistance, and age it for 1 day. Subsequently, use live oil under the target temperature and pressure conditions to displace the formation water in the core to reach the expected oil saturation, and then age it for another day. When preparing cores with an oil saturation of more than 60%, use the core dry and wet weighing method to calculate the difference between the wet weight of the core saturated with water and the dry weight of the core, so as to know the amount of formation water entering the core. Use high temperature N 2The core saturated with formation water was displaced at constant pressure, and the amount of formation water discharged after the displacement was recorded. When the amount of water discharged reached the expected amount, it indicated that the core reached the target water saturation. At the same time, the core resistance was measured and aged for 1 day. The core was then evacuated, the back pressure valve at the tail end of the core was closed, and petroleum ether was injected at a constant pressure of 2MPa. The pump position difference was recorded. According to the principle of similar compatibility, petroleum ether was displaced with live oil to reach the expected oil saturation, and then aged for 1 day.

[0093] After the core with the expected oil saturation is prepared, carbon dioxide displacement can be carried out. First, connect the cylinder filled with carbon dioxide to the high-pressure pulse-free metering pump for constant pressure displacement, and the displacement pressure difference is 2MPa. Then record the oil production, water production, and gas production every 0.1PV injected, and continuously monitor the resistance value every 30 seconds until no oil or water is produced at the outlet or a large amount of carbon dioxide gushes out. Then safely release the pressure, repeatedly wash the same core with petroleum ether and ethanol, change the temperature and pressure conditions or oil saturation, and repeat the above test.

[0094] Specifically, this experiment designed 6 temperature and pressure conditions. For each temperature and pressure condition, 6 groups of cores with different initial oil saturation were designed for carbon dioxide displacement test to study the change law of core resistivity and obtain the initial core resistivity, the final core resistivity and the resistivity change value. The resistivity change value is the absolute value of the difference between the initial core resistivity and the final core resistivity. The experimental results obtained in this experiment, that is, the core resistivity data, such as Figure 3 As shown, six temperature and pressure conditions are designed, and each temperature and pressure condition designs six groups of initial core resistivity, final core resistivity and resistivity change value measurement results under different initial oil saturation conditions.

[0095] In some embodiments, the well logging data includes well logging curves;

[0096] Based on the well logging data and multiple sets of preset conditions for target layer thickness and target layer resistivity, forward modeling is performed to obtain absolute abnormal peak voltage data, including:

[0097] According to the well logging curve, the basic geoelectric model is established;

[0098] Acquire multiple sets of target layer thickness preset conditions and target layer resistivity preset conditions, wherein in each set of target layer thickness preset conditions and target layer resistivity preset conditions, the target layer thickness preset condition includes a preset target layer thickness, and the target layer resistivity preset condition includes a preset target layer resistivity;

[0099] Establish multiple fine geoelectric models based on the basic geoelectric model and multiple sets of target layer thickness preset conditions and target layer resistivity preset conditions;

[0100] Forward modeling is performed on each fine geoelectric model to obtain each absolute abnormal peak voltage corresponding to each set of target layer thickness preset conditions and target layer resistivity preset conditions;

[0101] Based on each absolute abnormal peak voltage, absolute abnormal peak voltage data is obtained.

[0102] In this embodiment, a basic geoelectric model is established based on the logging curve, and then different target layer thicknesses and different target layer resistivity conditions are set respectively, and a fine geoelectric model is established for forward modeling to obtain absolute abnormal peak voltage data to analyze the recognition capability of the wide-area electromagnetic method.

[0103] The basic geoelectric model is established based on the logging curves. Various types of logging curves can be used to establish the basic geoelectric model. Specifically, the basic geoelectric model can be established mainly based on the logging resistivity curves.

[0104] The above-mentioned basic geoelectric model is established based on the logging curve. According to the interpretation of seismic data and logging data in the study area, the stratification results of each layer in the study area can be obtained. The top and bottom depth data and thickness of each layer can be known. Then, according to the logging resistivity, the vertical change value of the resistivity of each layer can be known. According to the above data, the basic geoelectric model can be established. It should be noted that in the basic geoelectric model, the resistivity value of the target layer is unknown, the resistivity values ​​of the remaining layers are known, and the resistivity values ​​correspond to the depth one by one.

[0105] For example, the stratigraphic information of the study area is obtained based on the natural gamma, acoustic wave time difference and other logging data, and a basic geoelectric model is established in combination with the logging resistivity curve.

[0106] The above-mentioned multiple groups of target layer thickness preset conditions and target layer resistivity preset conditions can be used to design different target layer thicknesses and different target layer resistivities. The above-mentioned target layer thickness can be the reservoir thickness of the target layer. The design of the target layer thickness and the target layer resistivity can refer to the actual situation of the study area; specifically, the target layer reservoir thickness varies between 2m and 10m, and the model design thickness can cover the actual situation; the actual reservoir resistivity of the target layer varies between 10 and 260Ω·m, but in order to better demonstrate the impact of the resistivity change, the target layer resistivity in the model can be designed to be as high as 400Ω·m.

[0107] For example, the forward simulation of the target layer design thickness and resistivity can be as follows: Figure 4As shown, the reservoir thickness of the target layer is set to 2m, 4m, 6m, 8m, and 10m, and the resistivity value of the target layer is set from 10Ω·m to 400Ω·m, with an interval of 10Ω·m. Therefore, the designed forward simulation target layer includes 5 target layer thicknesses. In each target layer thickness, one resistivity experimental group is set every 10Ω·m from 10Ω·m to 400Ω·m, that is, 40 groups, totaling 200 simulation situations.

[0108] The above-mentioned forward modeling is performed on each fine geoelectric model, wherein forward modeling is a commonly used method in geophysical exploration. In geophysical exploration research, according to the shape, occurrence and physical property data of the geological body, its theoretical value is calculated by constructing a mathematical model, that is, mathematical simulation, or by constructing a physical model to observe the numerical value of the geophysical effect produced by the model, that is, physical simulation. In this embodiment, a fine geoelectric model has been constructed, the thickness and resistivity of the target layer are preset, and the common finite element method is used to calculate the longitudinal distribution of the resistivity of the target layer that is closest to the actual situation. The finite element method divides the underground medium into multiple small units, each unit meets certain boundary conditions and physical properties, and the propagation of seismic waves is simulated by solving the solution of each unit. The above-mentioned forward modeling can be a wide-area electromagnetic forward modeling.

[0109] The acquisition process of the above-mentioned absolute abnormal peak voltage can be, using the absolute abnormal voltage of the forward simulation of the set minimum target layer resistivity as a reference, specifically, using the absolute abnormal voltage U of the forward simulation of 10Ω·m as a reference, to find the maximum absolute abnormal voltage Umax caused by changing the target layer resistivity under the same target layer thickness condition, that is, the absolute abnormal peak voltage corresponding to the preset condition of the target layer thickness and the preset condition of the target layer resistivity; similarly, changing the target layer thickness again, continuing to use the absolute abnormal voltage U of the forward simulation of 10Ω·m as a reference, to find the maximum absolute abnormal voltage Umax caused by other target layer resistivities, that is, the absolute abnormal peak voltage; finally, the absolute abnormal peak voltage data is obtained, such as Figure 5 As shown, it includes the absolute abnormal peak voltage corresponding to all target layer thickness preset conditions and target layer resistivity preset conditions, the reservoir thickness is the target layer thickness preset condition, and the reservoir simulation resistivity is the target layer resistivity preset condition.

[0110] In some implementations, each absolute abnormal difference voltage is obtained by the following steps:

[0111] According to the initial core resistivity, the corresponding initial absolute abnormal peak voltage is determined;

[0112] According to the ending core resistivity, the corresponding ending absolute abnormal peak voltage is determined;

[0113] According to the initial absolute abnormal peak voltage and the ending absolute abnormal peak voltage, a corresponding absolute abnormal difference voltage is determined, where the absolute abnormal difference voltage is the absolute value of the difference between the initial absolute abnormal peak voltage and the ending absolute abnormal peak voltage.

[0114] In this implementation, based on the initial core resistivity and the ending core resistivity obtained in the carbon dioxide displacement experiment, the corresponding absolute abnormal peak voltages, i.e., the initial absolute abnormal peak voltage and the ending absolute abnormal peak voltage, are found, and the absolute abnormal difference voltage is obtained by subtracting them and taking the absolute value. Finally, the absolute abnormal difference voltage corresponding to the core of each oil saturation under each temperature and pressure condition and each target layer reservoir thickness condition is found.

[0115] Specifically, according to Figure 5 , we can find the absolute abnormal peak voltages corresponding to the initial core resistivity and the ending core resistivity, which are recorded as the initial absolute abnormal peak voltage A and the ending absolute abnormal peak voltage B. The absolute value of the difference between A and B is the absolute abnormal difference voltage.

[0116] For example, in the experimental group with temperature and pressure conditions of 6.78MPa-20℃ and initial oil saturation of 0, Figure 3 As shown in Figure 1, the initial core resistivity is 15.5Ω·m, the final core resistivity is 163.7Ω·m, and the calculated resistivity change is 143.7Ω·m. Figure 5 As shown in the figure, when the reservoir thickness of the target layer is 10m, the absolute abnormal peak voltage A corresponding to the initial core resistivity of 15.5Ω·m is 7.63μV when the target layer resistivity is 20Ω·m, and the absolute abnormal peak voltage B corresponding to the final core resistivity of 163.7Ω·m is 14.64μV when the target layer resistivity is 160Ω·m. Therefore, the calculated value of BA is 7.01μV, that is, the absolute abnormal difference voltage is 7.01μV, as shown in the figure. Figure 6 shown.

[0117] It should be noted that if Figure 3 The initial core resistivity and the final core resistivity in Figure 5 The preset simulation condition values ​​of the target layer resistivity in the simulation condition correspond one to one, so the nearest value is taken, such as the initial core resistivity of 15.5Ω·m takes the value when the target layer is simulated at 20Ω·m, and the final core resistivity of 163.7Ω·m takes the value when the target layer is simulated at 160Ω·m.

[0118] Obtain the absolute abnormal difference voltage corresponding to all reservoir thickness conditions, temperature and pressure conditions, and oil saturation conditions, and obtain the absolute abnormal difference voltage data. The results are as follows: Figure 6 As shown in the table, this is the explanation version of the changes in electrical characteristics after the carbon dioxide formation is affected.

[0119] In some embodiments, according to the preset absolute abnormal difference voltage classification standard and the absolute abnormal difference voltage data, a carbon dioxide electromagnetic monitoring identification template is determined, including:

[0120] Under the same temperature and pressure preset conditions and target layer thickness preset conditions, draw a correlation curve between oil saturation and absolute abnormal difference voltage;

[0121] According to the absolute abnormal difference voltage classification standard and the correlation curve, the corresponding identifiable oil saturation range is obtained and the carbon dioxide electromagnetic monitoring identification template is determined.

[0122] The above correlation curve between oil saturation and absolute abnormal difference voltage can be drawn based on the data under the same temperature and pressure preset conditions and target layer thickness preset conditions, with oil saturation as the horizontal axis and absolute abnormal difference voltage as the vertical axis, to draw a correlation curve, such as Figures 7 to 12 As shown, the intersection diagram of the absolute abnormal difference voltage and the initial oil saturation of the core under various temperature and pressure conditions is obtained. Each figure includes multiple correlation curves between oil saturation and absolute abnormal difference voltage corresponding to multiple different target layer thickness preset conditions under one temperature and pressure condition. For example, one figure includes five curves corresponding to the target layer thickness of 2m, 4m, 6m, 8m, and 10m.

[0123] In some embodiments, the absolute abnormal difference voltage classification standard includes a substantially identifiable absolute abnormal difference voltage classification standard and a stably identifiable absolute abnormal difference voltage classification standard.

[0124] The above-mentioned identifiable absolute anomaly difference voltage division standard and the stably identifiable absolute anomaly difference voltage division standard can be set according to the actual experimental data. Specifically, 0.5μV can be used as the basic identifiable absolute anomaly difference voltage division standard, and 1μV can be used as the stably identifiable absolute anomaly difference voltage division standard to divide the absolute anomaly difference of each test group, thereby obtaining the basically identifiable and stably identifiable core oil saturation range under various temperature and pressure conditions, which is the identification template.

[0125] Specifically, in Figures 7 to 12 In the figure, 0.5 μV is used as the basic identifiable division standard, as shown by the horizontal dotted line in the figure, and 1 μV is used as the stable identifiable division standard, as shown by the horizontal solid line in the figure. By determining the intersection of the horizontal dotted line, the horizontal solid line and each correlation curve, the range of the basic identifiable initial oil saturation of the core by the wide-area electromagnetic method in the process of carbon dioxide displacement under various temperature and pressure conditions and the range of the initial oil saturation of the core that can be stably identified are obtained, and the carbon dioxide electromagnetic monitoring recognition template is obtained, as shown in FIG. Fig.13As shown in the figure, the above identification template is an identification template for evaluating the ability of electromagnetic method to detect and identify carbon dioxide. By using the above template, in subsequent applications, including using wide-area electromagnetic method to monitor the scope of carbon dioxide, storage leakage and real-time monitoring of carbon dioxide advance, it can be known that under different target layer temperature and pressure conditions, the oil saturation of the target layer core is within a certain range, and the wide-area electromagnetic method can be used for stable identification, thus building a bridge between experimental results and practical applications.

[0126] The carbon dioxide electromagnetic monitoring identification method provided in the embodiment of the present application may be executed by the carbon dioxide electromagnetic monitoring identification device 200. In the embodiment of the present application, the carbon dioxide electromagnetic monitoring identification device 200 executing the carbon dioxide electromagnetic monitoring identification method is taken as an example to illustrate the carbon dioxide electromagnetic monitoring identification device 200 provided in the embodiment of the present application.

[0127] See also Fig.14 , is a schematic diagram of the structure of a carbon dioxide electromagnetic monitoring and identification device 200 provided in an embodiment of the present application. Fig.14 As shown, the carbon dioxide electromagnetic monitoring and identification device 200 includes:

[0128] The first obtaining module 201 is used to perform a carbon dioxide core displacement experiment under multiple sets of temperature and pressure preset conditions and oil content preset conditions to obtain core resistivity data, wherein the core resistivity data includes core resistivity change data corresponding to each set of temperature and pressure preset conditions and oil content preset conditions;

[0129] An acquisition module 202 is used to acquire well logging data of a study area;

[0130] The second obtaining module 203 is used to perform forward modeling according to the well logging data and multiple sets of target layer thickness preset conditions and target layer resistivity preset conditions to obtain absolute abnormal peak voltage data, wherein the absolute abnormal peak voltage data includes the absolute abnormal peak voltage corresponding to each set of target layer thickness preset conditions and target layer resistivity preset conditions;

[0131] The third obtaining module 204 is used to obtain absolute abnormal difference voltage data according to the core resistivity data and the absolute abnormal peak voltage data, wherein the absolute abnormal difference voltage data includes the absolute abnormal difference voltage corresponding to each set of temperature and pressure preset conditions, oil content preset conditions and target layer thickness preset conditions;

[0132] The determination module 205 is used to determine the carbon dioxide electromagnetic monitoring identification template according to the preset absolute abnormal difference voltage classification standard and the absolute abnormal difference voltage data. The carbon dioxide electromagnetic monitoring identification template includes the identifiable oil-containing condition range corresponding to each group of temperature and pressure preset conditions and target layer thickness preset conditions.

[0133] In some implementations, the first obtaining module 201 may be used to:

[0134] Acquire multiple groups of temperature and pressure preset conditions and oil content preset conditions, wherein each group of temperature and pressure preset conditions and oil content preset conditions includes a group of preset temperature and pressure, and the oil content preset condition includes a preset oil saturation;

[0135] For each set of temperature and pressure preset conditions and oil content preset conditions, a carbon dioxide core displacement experiment is carried out to obtain each set of core resistivity change data corresponding to each set of temperature and pressure preset conditions and oil content preset conditions;

[0136] The core resistivity data are obtained according to each group of core resistivity change data.

[0137] In some embodiments, a set of core resistivity change data corresponding to a set of temperature and pressure preset conditions and oil content preset conditions includes a set of initial core resistivity and an ending core resistivity.

[0138] In some implementations, the third obtaining module 204 may be used to:

[0139] According to the initial core resistivity, the corresponding initial absolute abnormal peak voltage is determined;

[0140] According to the ending core resistivity, the corresponding ending absolute abnormal peak voltage is determined;

[0141] According to the initial absolute abnormal peak voltage and the ending absolute abnormal peak voltage, a corresponding absolute abnormal difference voltage is determined, where the absolute abnormal difference voltage is the absolute value of the difference between the initial absolute abnormal peak voltage and the ending absolute abnormal peak voltage.

[0142] In some implementations, the determination module 205 may be configured to:

[0143] Under the same temperature and pressure preset conditions and target layer thickness preset conditions, draw a correlation curve between oil saturation and absolute abnormal difference voltage;

[0144] According to the absolute abnormal difference voltage classification standard and the correlation curve, the corresponding identifiable oil saturation range is obtained and the carbon dioxide electromagnetic monitoring identification template is determined.

[0145] In some embodiments, the absolute abnormal difference voltage classification standard includes a substantially identifiable absolute abnormal difference voltage classification standard and a stably identifiable absolute abnormal difference voltage classification standard.

[0146] In some embodiments, the well logging data includes well logging curves;

[0147] The second obtaining module 203 can be used to:

[0148] According to the well logging curve, the basic geoelectric model is established;

[0149] Acquire multiple sets of target layer thickness preset conditions and target layer resistivity preset conditions, wherein in each set of target layer thickness preset conditions and target layer resistivity preset conditions, the target layer thickness preset condition includes a preset target layer thickness, and the target layer resistivity preset condition includes a preset target layer resistivity;

[0150] Establish multiple fine geoelectric models based on the basic geoelectric model and multiple sets of target layer thickness preset conditions and target layer resistivity preset conditions;

[0151] Forward modeling is performed on each fine geoelectric model to obtain each absolute abnormal peak voltage corresponding to each set of target layer thickness preset conditions and target layer resistivity preset conditions;

[0152] Based on each absolute abnormal peak voltage, absolute abnormal peak voltage data is obtained.

[0153] Since the carbon dioxide electromagnetic monitoring and identification device 200 adopts all the technical solutions of the carbon dioxide electromagnetic monitoring and identification method of the above embodiment, it has at least all the beneficial effects brought by the technical solutions of the above embodiment, which will not be described in detail here.

[0154] Fig.15 A schematic diagram of the hardware structure of an electronic device provided in an embodiment of the present application.

[0155] The electronic device may include a processor 301 and a memory 302 storing computer program instructions.

[0156] Specifically, the processor 301 may include a central processing unit (CPU), or an application specific integrated circuit (ASIC), or may be configured to implement one or more integrated circuits of the embodiments of the present application.

[0157] The memory 302 may include a large capacity memory for data or instructions. By way of example and not limitation, the memory 302 may include a hard disk drive (HDD), a floppy disk drive, a flash memory, an optical disk, a magneto-optical disk, a magnetic tape, or a universal serial bus (USB) drive or a combination of two or more of these. In appropriate cases, the memory 302 may include a removable or non-removable (or fixed) medium. In appropriate cases, the memory 302 may be inside or outside the integrated gateway disaster recovery device. In a specific embodiment, the memory 302 is a non-volatile solid-state memory.

[0158] In some embodiments, the memory 302 may include a read-only memory (ROM), a random access memory (RAM), a magnetic disk storage medium device, an optical storage medium device, a flash memory device, an electrical, optical or other physical / tangible memory storage device. Thus, in general, the memory includes one or more tangible (non-transitory) computer-readable storage media (e.g., a memory device) encoded with software including computer-executable instructions, and when the software is executed (e.g., by one or more processors), it is operable to perform the operations described with reference to the method according to an aspect of the present disclosure.

[0159] The processor 301 reads and executes the computer program instructions stored in the memory 302 to implement any one of the carbon dioxide electromagnetic monitoring and identification methods in the above embodiments.

[0160] In one example, the electronic device may further include a communication interface 303 and a bus 310. Fig.15 As shown, the processor 301, the memory 302, and the communication interface 303 are connected via a bus 310 and communicate with each other.

[0161] The communication interface 303 is mainly used to implement communication between various modules, devices, units and / or equipment in the embodiments of the present application.

[0162] Bus 310 includes hardware, software or both, and the parts of online data flow billing equipment are coupled to each other. For example, but not limitation, bus may include accelerated graphics port (AGP) or other graphics bus, enhanced industrial standard architecture (EISA) bus, front-end bus (FSB), hypertransport (HT) interconnection, industrial standard architecture (ISA) bus, infinite bandwidth interconnection, low pin count (LPC) bus, memory bus, micro channel architecture (MCA) bus, peripheral component interconnection (PCI) bus, PCI-Express (PCI-X) bus, serial advanced technology attachment (SATA) bus, video electronics standard association local (VLB) bus or other suitable bus or two or more of these combinations. In appropriate cases, bus 310 may include one or more buses. Although the present application embodiment describes and shows a specific bus, the present application considers any suitable bus or interconnection.

[0163] The electronic device can execute the carbon dioxide electromagnetic monitoring and identification method in the embodiment of the present application, thereby realizing the combination Figure 1 and Fig.14 A method and device for electromagnetic monitoring and identification of carbon dioxide are described.

[0164] In addition, in combination with the carbon dioxide electromagnetic monitoring and identification method in the above embodiment, the embodiment of the present application can provide a computer storage medium for implementation. The computer storage medium stores computer program instructions; when the computer program instructions are executed by the processor, any one of the carbon dioxide electromagnetic monitoring and identification methods in the above embodiment is implemented.

[0165] It should be clear that the present application is not limited to the specific configuration and processing described above and shown in the figures. For the sake of simplicity, a detailed description of the known method is omitted here. In the above embodiments, several specific steps are described and shown as examples. However, the method process of the present application is not limited to the specific steps described and shown, and those skilled in the art can make various changes, modifications and additions, or change the order between the steps after understanding the spirit of the present application.

[0166] The functional blocks shown in the above-described block diagram can be implemented as hardware, software, firmware or a combination thereof. When implemented in hardware, it can be, for example, an electronic circuit, an application specific integrated circuit (ASIC), appropriate firmware, a plug-in, a function card, etc. When implemented in software, the elements of the present application are programs or code segments that are used to perform the required tasks. The program or code segment can be stored in a machine-readable medium, or transmitted on a transmission medium or a communication link by a data signal carried in a carrier wave. "Machine-readable medium" can include any medium capable of storing or transmitting information. Examples of machine-readable media include electronic circuits, semiconductor memory devices, ROM, flash memory, erasable ROM (EROM), floppy disks, CD-ROMs, optical disks, hard disks, optical fiber media, radio frequency (RF) links, etc. The code segment can be downloaded via a computer network such as the Internet, an intranet, etc.

[0167] It should also be noted that the exemplary embodiments mentioned in this application describe some methods or systems based on a series of steps or devices. However, this application is not limited to the order of the above steps, that is, the steps can be performed in the order mentioned in the embodiment, or in a different order from the embodiment, or several steps can be performed simultaneously.

[0168] In addition, the exemplary embodiments mentioned in this application cannot be used as a limitation of this application. The specific cases described are only to help understand the implementation methods of the technical solution of this patent and do not constitute a limitation on the scope of protection of the claims. Any equivalent replacement, technical feature reorganization, implementation scenario expansion or technical parameter adjustment based on the core idea of ​​this patent, as long as its technical solution does not deviate from the inventive concept of this patent, should be deemed to fall within the scope of protection of this patent. Those skilled in the art should understand that the scope of protection of the patent right should be based on the technical features and their equivalent features recorded in the claims, and non-essential technical features such as specific process parameters, structural details, material selection, etc. recorded in the embodiments of the specification should not be used as a basis for restrictive interpretation. There may be a variety of changes in the description of the embodiments of this patent, and the technical features in different embodiments can be combined and reconstructed. These implementation methods derived from the technical ideas of this patent belong to the scope of rights claimed by this patent.

[0169] Aspects of the present disclosure are described above with reference to the flowchart and / or block diagram of the method, device (system) and computer program product according to the embodiment of the present disclosure. It should be understood that each box in the flowchart and / or block diagram and the combination of each box in the flowchart and / or block diagram can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, or other programmable data processing device to produce a machine so that these instructions executed by the processor of the computer or other programmable data processing device enable the implementation of the function / action specified in one or more boxes of the flowchart and / or block diagram. Such a processor can be, but is not limited to, a general-purpose processor, a special-purpose processor, a special application processor, or a field programmable logic circuit. It can also be understood that each box in the block diagram and / or flowchart and the combination of boxes in the block diagram and / or flowchart can also be implemented by dedicated hardware that performs a specified function or action, or can be implemented by a combination of dedicated hardware and computer instructions.

[0170] The above is only a specific implementation of the present application. Those skilled in the art can clearly understand that for the convenience and simplicity of description, the specific working processes of the systems, modules and units described above can refer to the corresponding processes in the aforementioned method embodiments, and will not be repeated here. It should be understood that the protection scope of the present application is not limited to this. Any technician familiar with the technical field can easily think of various equivalent modifications or replacements within the technical scope disclosed in this application, and these modifications or replacements should be included in the protection scope of this application.

Claims

1. A carbon dioxide electromagnetic monitoring and identification method, characterized in that: include: Under multiple groups of preset temperature and pressure conditions and preset oil content conditions, a carbon dioxide core displacement experiment is performed to obtain core resistivity data, wherein the core resistivity data includes core resistivity change data corresponding to each group of the preset temperature and pressure conditions and the preset oil content conditions; Obtain well logging data in the study area; Perform forward modeling according to the well logging data and multiple sets of target layer thickness preset conditions and target layer resistivity preset conditions to obtain absolute abnormal peak voltage data, wherein the absolute abnormal peak voltage data includes the absolute abnormal peak voltage corresponding to each set of the target layer thickness preset conditions and the target layer resistivity preset conditions; According to the core resistivity data and the absolute abnormal peak voltage data, absolute abnormal difference voltage data are obtained, wherein the absolute abnormal difference voltage data includes the absolute abnormal difference voltage corresponding to each group of the temperature and pressure preset conditions, the oil content preset conditions and the target layer thickness preset conditions; According to the preset absolute abnormal difference voltage classification standard and the absolute abnormal difference voltage data, a carbon dioxide electromagnetic monitoring identification template is determined, and the carbon dioxide electromagnetic monitoring identification template includes an identifiable oil-containing condition range corresponding to each group of the temperature and pressure preset conditions and the target layer thickness preset conditions.

2. The method according to claim 1, characterized in that The carbon dioxide core displacement experiment is carried out under multiple sets of temperature and pressure preset conditions and oil content preset conditions to obtain core resistivity data, including: Acquire multiple groups of the preset temperature and pressure conditions and the preset oil content conditions, wherein in each group of the preset temperature and pressure conditions and the preset oil content conditions, the preset temperature and pressure conditions include a group of preset temperature and pressure, and the preset oil content conditions include a preset oil saturation; Conducting a carbon dioxide core displacement experiment for each group of preset temperature and pressure conditions and preset oil content conditions to obtain the core resistivity change data for each group of preset temperature and pressure conditions and preset oil content conditions; The core resistivity data is obtained according to each group of core resistivity change data.

3. The method according to claim 2, characterized in that A set of core resistivity change data corresponding to a set of temperature and pressure preset conditions and oil content preset conditions includes a set of initial core resistivity and an ending core resistivity.

4. The method according to claim 3, characterized in that Each of the absolute abnormal difference voltages is obtained by the following steps: Determining a corresponding initial absolute abnormal peak voltage according to the initial core resistivity; According to the ending core resistivity, determining a corresponding ending absolute abnormal peak voltage; The corresponding absolute abnormal difference voltage is determined according to the initial absolute abnormal peak voltage and the ending absolute abnormal peak voltage, and the absolute abnormal difference voltage is the absolute value of the difference between the initial absolute abnormal peak voltage and the ending absolute abnormal peak voltage.

5. The method according to claim 2, characterized in that: The step of determining a carbon dioxide electromagnetic monitoring identification template according to a preset absolute abnormal difference voltage classification standard and the absolute abnormal difference voltage data includes: Under the same preset temperature and pressure conditions and the preset target layer thickness conditions, drawing a correlation curve between the oil saturation and the absolute abnormal difference voltage; According to the absolute abnormal difference voltage classification standard and the correlation curve, the corresponding identifiable oil saturation range is obtained, and the carbon dioxide electromagnetic monitoring identification template is determined.

6. The method according to claim 1 or 5, characterized in that: The absolute abnormal difference voltage classification standard includes a basic identifiable absolute abnormal difference voltage classification standard and a stably identifiable absolute abnormal difference voltage classification standard.

7. The method according to claim 1, characterized in that The logging data includes logging curves; The forward modeling is performed according to the well logging data and multiple sets of preset conditions for target layer thickness and target layer resistivity to obtain absolute abnormal peak voltage data, including: Establishing a basic geoelectric model according to the logging curve; Acquire multiple groups of preset conditions for target layer thickness and preset conditions for target layer resistivity, wherein in each group of preset conditions for target layer thickness and preset conditions for target layer resistivity, the preset conditions for target layer thickness include preset target layer thickness, and the preset conditions for target layer resistivity include preset target layer resistivity; Establishing multiple fine geoelectric models according to the basic geoelectric model and multiple groups of preset conditions for target layer thickness and target layer resistivity; Forward modeling is performed on each of the fine geoelectric models to obtain each of the absolute abnormal peak voltages corresponding to each group of the preset conditions for target layer thickness and the preset conditions for target layer resistivity; The absolute abnormal peak voltage data is obtained according to each of the absolute abnormal peak voltages.

8. A carbon dioxide electromagnetic monitoring and identification device, characterized in that: include: The first obtaining module is used to perform a carbon dioxide core displacement experiment under multiple groups of temperature and pressure preset conditions and oil content preset conditions to obtain core resistivity data, wherein the core resistivity data includes core resistivity change data corresponding to each group of the temperature and pressure preset conditions and oil content preset conditions; Acquisition module, used to obtain well logging data in the study area; The second obtaining module is used to perform forward modeling according to the logging data and multiple sets of target layer thickness preset conditions and target layer resistivity preset conditions to obtain absolute abnormal peak voltage data, wherein the absolute abnormal peak voltage data includes the absolute abnormal peak voltage corresponding to each set of the target layer thickness preset conditions and the target layer resistivity preset conditions; A third obtaining module is used to obtain absolute abnormal difference voltage data according to the core resistivity data and the absolute abnormal peak voltage data, wherein the absolute abnormal difference voltage data includes the absolute abnormal difference voltage corresponding to each group of the temperature and pressure preset conditions, the oil content preset conditions and the target layer thickness preset conditions; A determination module is used to determine a carbon dioxide electromagnetic monitoring identification template according to a preset absolute abnormal difference voltage classification standard and the absolute abnormal difference voltage data, wherein the carbon dioxide electromagnetic monitoring identification template includes a corresponding identifiable oil-containing condition range under each group of the temperature and pressure preset conditions and the target layer thickness preset conditions.

9. An electronic device, characterized in that: The method comprises a processor and a memory, wherein the memory stores a program or instruction that can be run on the processor, and when the program or instruction is executed by the processor, the steps of the carbon dioxide electromagnetic monitoring and identification method as claimed in any one of claims 1 to 7 are implemented.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores computer-executable instructions, and the computer-executable instructions are used to enable a computer to execute the carbon dioxide electromagnetic monitoring and identification method according to any one of claims 1 to 7.

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