Qualitative and quantitative identification method for deep carbonate cap rock

Abstract

The invention discloses a qualitative and quantitative identification method for a deep carbonate cap rock, and the method comprises the steps: taking a rock core of a coring section, and determining a cap rock development section and a non-cap rock development section of the rock core; calibrating the core after determining the cap layer development section and the non-cap layer development section and the corresponding imaging logging image, and establishing a relationship between the core and the imaging logging image; establishing a qualitative recognition chart based on mutual calibration of imaging logging and conventional logging; constructing a quantitative identification standard of the deep carbonate cap strata by performing conventional logging multi-parameter intersection analysis; and mutually calibrating the logging data and the seismic data, and determining a spatial distribution map.

Description

Technical Field

[0001] The present invention relates to the technical field of oil and gas field exploitation, and in particular to a method for qualitatively and quantitatively identifying deep carbonate caprocks. Background Art

[0002] In the exploration of deep carbonate rock oil and gas, accurately identifying carbonate caprocks plays a key role in the discovery and exploitation of oil and gas resources. However, there are many deficiencies in the existing methods for identifying carbonate caprocks. Traditional methods often rely on single technical means or simple empirical judgments, lacking systematicness and accuracy, and it is difficult to accurately determine key parameters such as the development location, thickness, and sealing performance of the caprocks. This leads to a high risk in the deployment of deep well positions and cannot meet the requirements of "deep earth engineering" for high-precision geological exploration, greatly limiting the effective development and utilization of deep carbonate rock oil and gas resources. Therefore, there is an urgent need for a method that can simply, quickly, and relatively accurately qualitatively and quantitatively identify deep carbonate caprocks.

[0003] The above content is only used to assist in understanding the technical solution of the present invention and does not represent an admission that the above content is prior art. Summary of the Invention

[0004] The main object of the present invention is to provide a method for qualitatively and quantitatively identifying deep carbonate caprocks, aiming to solve or partially solve the above problems.

[0005] To achieve the above object, the present invention provides a method for qualitatively and quantitatively identifying deep carbonate caprocks, including:

[0006] Taking cores of the cored section and determining the caprock development section and non-caprock development section thereof;

[0007] Calibrating the cores after determining the caprock development section and non-caprock development section with the corresponding imaging logging images to establish the relationship between the cores and the imaging logging images;

[0008] Based on the mutual calibration of imaging logging and conventional logging, establishing a qualitative identification chart;

[0009] By performing multi-parameter crossplot analysis of conventional logging, constructing a quantitative identification standard for deep carbonate caprocks;

[0010] Mutually calibrating the logging data and the seismic data and determining the spatial distribution map.

[0011] Preferably, in the method for qualitatively and quantitatively identifying deep carbonate caprocks, the mutually calibrating the logging data and the seismic data and determining the spatial distribution map includes:

[0012] Mutually calibrating the logging data and the seismic data to establish the corresponding relationship between the logging data and the seismic data;

[0013] Based on the seismic data, the corresponding relationship between the well logging data and the seismic data, and the constructed quantitative identification criteria for the deep carbonate caprock, a three-dimensional spatial distribution map of the deep carbonate caprock is drawn.

[0014] Preferably, in the qualitative and quantitative identification method of the deep carbonate caprock, the step of constructing the quantitative identification criteria for the deep carbonate caprock by performing conventional well logging multi-parameter crossplot analysis includes:

[0015] Performing crossplot analysis with resistivity and acoustic travel time as basic parameters to obtain a crossplot;

[0016] Introducing neutron porosity for three-dimensional crossplot analysis with resistivity and acoustic travel time to form a three-dimensional crossplot space and update the crossplot.

[0017] Preferably, in the qualitative and quantitative identification method of the deep carbonate caprock, in the step of performing crossplot analysis with resistivity and acoustic travel time as basic parameters to obtain a crossplot, the point aggregation area with high resistivity and small acoustic travel time characteristics in the crossplot corresponds to the caprock development section.

[0018] Preferably, in the qualitative and quantitative identification method of the deep carbonate caprock, the step of taking the core of the cored section and determining its caprock development section and non-caprock development section includes:

[0019] Taking the core of the cored section, if the microfracture density is less than 1.5 fractures / m and the core recovery rate > 90%, it is determined as the caprock development section; otherwise, it is the non-caprock development section.

[0020] Preferably, in the qualitative and quantitative identification method of the deep carbonate caprock, the step of calibrating the core after determining the caprock development section and non-caprock development section with the corresponding imaging well logging image to establish the relationship between the core and the imaging well logging image includes:

[0021] Calibrating the caprock development section with the corresponding imaging well logging image, and analyzing the response characteristics of the caprock development section on the imaging well logging image to establish the relationship between the core and the imaging well logging image.

[0022] Preferably, in the qualitative and quantitative identification method of the deep carbonate caprock, the imaging well logging image includes static imaging and dynamic imaging;

[0023] Correspondingly, the step of calibrating the caprock development section with the corresponding imaging well logging image, analyzing the response characteristics of the caprock development section on the imaging well logging image to establish the relationship between the core and the imaging well logging image includes:

[0024] Calibrate the caprock development section with the corresponding imaging logging images, clarify the differences between static imaging and dynamic imaging corresponding to different lithologies, and establish a geological identification chart for the caprock development section of the imaging logging images in the entire well section.

[0025] Preferably, in the qualitative and quantitative identification method of the deep carbonate caprock, in the step of calibrating the caprock development section with the corresponding imaging logging images and analyzing the response characteristics of the caprock development section on the imaging logging images to establish the relationship between the core and the imaging logging images, the response characteristics include resistivity, conductivity, color, and texture.

[0026] Preferably, in the qualitative and quantitative identification method of the deep carbonate caprock, the establishment of the qualitative identification chart based on the mutual calibration of imaging logging and conventional logging includes:

[0027] Based on the core characteristics and imaging logging characteristics of the cored section, compare and calibrate them with the conventional logging curves of the non-cored section step by step to establish a qualitative identification chart.

[0028] Preferably, in the qualitative and quantitative identification method of the deep carbonate caprock, in the step of comparing and calibrating the core characteristics and imaging logging characteristics of the cored section with the conventional logging curves of the non-cored section step by step to establish a qualitative identification chart, the calibrated characteristics are selected from the historical logging data to obtain more sensitive conventional logging curves and their characteristic parameters.

[0029] The present invention has at least the following beneficial effects:

[0030] The present invention takes the core of the cored section and determines its caprock development section and non-caprock development section; calibrates the core after determining the caprock development section and non-caprock development section with the corresponding imaging logging images to establish the relationship between the core and the imaging logging images; establishes a qualitative identification chart based on the mutual calibration of imaging logging and conventional logging; constructs a quantitative identification standard for the deep carbonate caprock through multi-parameter crossplot analysis of conventional logging, so as to realize simple, fast, and relatively accurate qualitative and quantitative identification of the deep carbonate rock caprock.

[0031] Furthermore, by integrating means such as core observation, thin section identification, various logging technologies, and seismic calibration, a comprehensive and accurate carbonate rock caprock identification system is constructed to improve the accuracy and efficiency of deep carbonate rock caprock identification, reduce the risk of deep well location deployment, and provide strong support for deep carbonate rock oil and gas exploration;

[0032] Furthermore, based on the observation of cores and the identification of thin rock sections in the drilling coring section, the petrological characteristics of the caprock development section and the non-caprock development section are clarified. Then, the caprock development section on the core is calibrated with the corresponding imaging logging (FMI) to clarify its imaging logging response characteristics. Next, the core characteristics and imaging logging characteristics in the coring section are calibrated step by step with the conventional logging in the non-coring section, so as to optimize the logging curves that are more sensitive to the identification of carbonate caprocks. Through the intersection of multiple logging curves, a quantitative identification standard for carbonate caprocks is constructed. Finally, the logging is calibrated with the seismic data to clarify the spatial distribution characteristics of carbonate caprocks, and ultimately achieve a simple, fast, and relatively accurate qualitative-quantitative identification of deep carbonate caprocks, so as to improve the exploration of deep carbonate oil and gas and reduce the risk of deep well location deployment.

[0033] Furthermore, the present invention has established a quantitative identification standard with high accuracy and adaptability. This standard can not only accurately determine the existence of the caprock, but also quantitatively evaluate key parameters such as the quality, thickness, and porosity of the caprock, which is beyond the reach of traditional identification methods.

[0034] Furthermore, in complex structural areas or strata with drastic lithological changes, through this method, the present invention can overcome the misjudgment and uncertainty caused by single data sources or simple analysis methods in traditional technologies, successfully achieve the accurate identification of carbonate caprocks and the clear delineation of their spatial distribution, provide a reliable geological basis for oil and gas exploration and development, and significantly reduce the risk of deep well location deployment. BRIEF DESCRIPTION OF THE DRAWINGS

[0035] Figure 1 is a flow chart of the qualitative and quantitative identification method for deep carbonate caprocks of the present invention;

[0036] Figure 2a is a schematic diagram of the petrological characteristics of the dense micrite limestone corresponding to the deep carbonate caprock development section of the present invention;

[0037] Figure 2b is a schematic diagram of the petrological characteristics of the dense sandy debris limestone corresponding to the deep carbonate caprock development section of the present invention;

[0038] Figure 2c is a schematic diagram of the microscopic characteristics of the thin rock section of the micrite limestone with all microfractures filled in the deep carbonate caprock development section of the present invention;

[0039] Figure 2d is a schematic diagram of the microscopic characteristics of the thin rock section of the micrite sandy debris limestone corresponding to the deep carbonate caprock development section of the present invention;

[0040] Figure 2eSchematic diagram of the microscopic characteristics of a highly cemented sparitic grain / oolitic limestone thin section corresponding to the developed section of the deep carbonate rock caprock of the present invention;

[0041] Figure 2f Schematic diagram of the microscopic characteristics of a dolomitic limestone thin section corresponding to the developed section of the deep carbonate rock caprock of the present invention;

[0042] Figure 3a Schematic diagram of the imaging logging (FMI) characteristics corresponding to the developed section of the carbonate rock caprock of the present invention, including the massive high-resistance mode;

[0043] Figure 3b Schematic diagram of the imaging logging (FMI) characteristics corresponding to the developed section of the carbonate rock caprock of the present invention, including the laminated high-resistance mode;

[0044] Figure 3c Schematic diagram of the imaging logging (FMI) characteristics corresponding to the developed section of the carbonate rock caprock of the present invention, including the spotted high-resistance mode;

[0045] Figure 3d Schematic diagram of the imaging logging (FMI) characteristics corresponding to the developed section of the carbonate rock caprock of the present invention, including the linear high-resistance mode;

[0046] Figure 4a Conventional logging curve crossplot of the developed section of the carbonate rock caprock in the embodiment of the present invention.

[0047] Figure 4b Schematic diagram of the seismic response characteristics of the developed section of the carbonate rock caprock in the embodiment of the present invention.

[0048] The realization, functional features and advantages of the object of the present invention will be further described in conjunction with the embodiments with reference to the accompanying drawings. Detailed implementation manners

[0049] In the embodiments of the present invention, the term "and / or" describes the association relationship of associated objects, indicating that there can be three relationships. For example, A and / or B can represent: A exists alone, A and B exist simultaneously, and B exists alone. The character " / " generally represents an "or" relationship between the associated objects before and after.

[0050] It should be noted that the terms "first", "second", etc. in the description and claims of the present invention and the above-mentioned drawings are used to distinguish similar objects, and do not necessarily describe a specific order or sequence.

[0051] In the embodiments of the present invention, the term "plurality" refers to two or more, and other quantifiers are similar thereto.

[0052] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the following will elaborate on each embodiment of the present invention in conjunction with the accompanying drawings. However, those of ordinary skill in the art can understand that in each embodiment of the present invention, many technical details are provided to help readers better understand the present invention. However, even without these technical details and various changes and modifications based on the following embodiments, the technical solutions claimed by the present invention can still be implemented. The division of the following embodiments is for convenience of description and should not constitute any limitation on the specific implementation of the present invention. The various embodiments can be combined and cross-referenced with each other on the premise of not being contradictory.

[0053] The present invention provides a method for qualitatively and quantitatively identifying deep carbonate caprocks. Figure 1 The schematic diagram of the method for qualitatively and quantitatively identifying deep carbonate caprocks provided by the present invention is shown. Please refer to Figure 1 .

[0054] At step S100, cores of the cored section are taken, and the caprock development section and the non-caprock development section are determined.

[0055] Specifically, the caprock development section and the non-caprock development section can be determined by the following means: the microfracture density of the core is less than 1.5 fractures / m, and the core recovery rate > 90%.

[0056] In specific implementation, the core can be laid flat and its characteristics such as color, mineral composition, structural components, structural types, and sedimentary structures are observed one by one. According to the naming principle of "color + structure + texture + mineral composition", the lithology of the carbonate rock is initially determined. Considering the characteristics of strong heterogeneity and special sedimentary structures of carbonate rocks, the sampling density is determined to be 4 samples / m, that is, the sampling interval is 0.25 m. The polished rock thin section is placed under a microscope for observation to further clarify the rock components, structures, textures, pore types and distributions, cement characteristics, etc. When the microfracture density of the core is less than 1.5 fractures / m and the core recovery rate > 90%, it is considered the caprock development section; otherwise, it is considered the non-caprock development section.

[0057] It should be noted that in terms of microfracture density, the oil-bearing layer section is usually greater than 22.5 fractures / m, while for the caprock development section, it is usually less than 1.5 fractures / m. In terms of rock mechanics, the core recovery rate of the oil-bearing layer section is usually very low or nearly zero; while for the caprock development section, the core recovery rate is greater than 90%, almost reaching 100%.

[0058] Taking the coring work of a deep well drilled in a certain deep carbonate rock exploration area as an example. After taking out the core for observation, significant differences were found between the carbonate rock caprock development section and the oil-bearing layer section. In terms of microfracture density, the oil-bearing layer section is usually greater than 22.5 fractures per meter, while for the caprock development section, it is usually less than 1.5 fractures per meter. In terms of rock mechanics, the core of the oil-bearing layer section is dark gray, with certain differences in oil content, visible dissolution pores or microfractures, the overall core is relatively broken, and the core recovery rate is generally very low or almost zero. The core of the caprock development section is lighter in color, light gray or yellowish gray, relatively dense as a whole, and the core recovery rate almost reaches 100%. And through core observation and rock thin section identification, it is shown that: the rock types corresponding to the caprock development section are mainly micrite limestone (such as Figure 2a and 2d ), highly cemented intraclast / spherulite limestone (such as Figure 2e ), dolomitic limestone ( Figure 2f ) and fine-grained crystalline dolomite.

[0059] At step S200, the core after determining the caprock development section and the non-caprock development section is calibrated with the corresponding imaging logging image to establish the relationship between the core and the imaging logging image.

[0060] Specifically, the caprock development section is calibrated with the corresponding imaging logging image, and the response characteristics of the caprock development section on the imaging logging image are analyzed to establish the relationship between the core and the imaging logging image. The response characteristics include but are not limited to: resistivity, conductivity, color, texture.

[0061] For example, the core from 500 - 502 meters and the imaging logging image from 500 - 502 meters are calibrated. Taking the section from 500 - 502 meters as the caprock development section, then it is necessary to correspond to the characteristics on the imaging logging image to establish the correlation between the core and the imaging logging image.

[0062] It should be noted that for deep cores (usually with a burial depth greater than 6000 meters), it is difficult to obtain a very long core at this time, that is, only 20 - 30 meters of the core can be taken. Taking the burial depth of the deep core as 6000 meters as an example, since the imaging logging image can cover 0 to 6000 meters, that is, it is relatively complete. By establishing the correlation between the core and the imaging logging image, relevant information about the part of the core that has not been taken can be effectively obtained.

[0063] Furthermore, the length of the core that can be taken is limited. For example, for a 6000-meter well, only 30 meters of core may be obtained. By establishing the correlation between the core and the imaging logging image, it is convenient to obtain relevant information about the part of the core that has not been taken.

[0064] Furthermore, the imaging logging images include static imaging and dynamic imaging. By analyzing the response characteristics of the caprock development section on the imaging logging images, the key characteristic indexes of the caprock development section on the imaging logging images can be determined. The caprock appears as high resistivity and uniform bright texture characteristics on the imaging logging images, while the non-caprock shows low resistivity and disordered dark texture. The carbonate caprock has 4 qualitative identification modes in imaging logging: massive high-resistance mode, laminated high-resistance mode, patchy high-resistance mode, and linear high-resistance mode, as shown respectively in Figures 3a to 3d .

[0065] The relationship between the core and the imaging logging images can be used to establish an identification geological chart of the caprock development section of the imaging logging images for the entire well section by clarifying the differences between the static imaging and dynamic imaging corresponding to different lithologies. In this way, through establishing the geological chart, the carbonate caprock can be identified in the well sections without core but with imaging logging images.

[0066] Specifically, calibrate the caprock development section with the corresponding imaging logging images, clarify the differences between the static imaging and dynamic imaging corresponding to different lithologies, and establish an identification geological chart of the caprock development section of the imaging logging images for the entire well section.

[0067] At step S300, based on the mutual calibration of the imaging logging images and the conventional logging, a qualitative identification chart is established.

[0068] Specifically, based on the core characteristics and imaging logging characteristics of the cored section, compare and calibrate them step by step with the conventional logging curves (such as natural gamma, acoustic travel time, density, resistivity, etc.) of the non-cored section.

[0069] Specifically, the calibrated characteristics can be used to screen out relatively sensitive conventional logging curves and their characteristic parameters from some relevant logging data. For example, from logging items such as natural gamma, acoustic travel time, density, and resistivity, screen out the conventional logging curves and their characteristic parameters that are relatively sensitive to the identification of carbonate caprocks. For example, determine that in a specific area or geological condition, the combination of several logging curves or the change of a specific curve shape can effectively indicate the presence and properties of the caprock.

[0070] More specifically, the calibrated characteristics are used to screen out relatively sensitive conventional logging curves and their characteristic parameters from the historical logging data.

[0071] There are certain differences in the conventional logging response characteristics between the caprock development section and the oil-bearing fracture section. The caprock development section shows the characteristics of "one high, two lows, and one stable", that is, high resistivity value, low natural gamma value, low acoustic time difference, and stable borehole diameter value; the oil-bearing fracture section shows the characteristics of "three highs and two lows", that is, high natural gamma value, high neutron porosity, high acoustic time difference, low density logging, and low resistivity value. Construct the crossplot of conventional logging parameters for the caprock development section and the oil-bearing layer section. The natural gamma value (GR) corresponding to the caprock development section is generally low, while the deep and shallow lateral resistivity values (RD and RS) are generally high, while the natural gamma value of the oil-bearing layer section is high, and the deep and shallow lateral resistivity values (RD and DS) are low, generally between 300 - 600 Ω·m. Based on this, a quantitative identification standard for caprocks in conventional logging is established: GR ≤ 15 API and RS (RD) ≥ 1000 Ω·m (such as Figure 4a ).

[0072] At step S400, by performing multi-parameter crossplot analysis of conventional logging, a quantitative identification standard for deep carbonate caprocks is constructed.

[0073] Specifically, combining the core analysis data of the caprock development section of carbonate rocks and the known caprock geological information, crossplot analysis is carried out using a variety of selected logging curves.

[0074] Specifically include:

[0075] 1) Taking resistivity and acoustic time difference as basic parameters for crossplot analysis to obtain a crossplot. Among them, the aggregation area of characteristic points with high resistivity and small acoustic time difference in the crossplot often corresponds to the caprock development section.

[0076] 2) Introduce neutron porosity for three-dimensional crossplot analysis with the former two, that is, construct a three-dimensional crossplot space with resistivity, acoustic time difference, and neutron porosity as coordinate axes, and update the three-dimensional crossplot space diagram. The caprock often shows a specific point cloud distribution pattern. In practical applications, it is necessary to finely calibrate the three-dimensional crossplot space diagram based on the geological background of the research area, the characteristics of known caprocks and reservoirs. Select representative well sections to determine the boundaries between caprocks and non-caprocks on each crossplot, so as to achieve quantitative identification based on multi-parameter crossplot of conventional logging.

[0077] In this way, in the face of new logging data, just substitute it into the crossplot according to the corresponding parameters, and it can be quickly judged whether it is a caprock according to the established standard, greatly improving the efficiency and accuracy of carbonate caprock identification.

[0078] At step S500, the logging data and seismic data are mutually calibrated, and the spatial distribution map is determined.

[0079] Specifically, it includes calibrating well logging data and seismic data with each other to establish the corresponding relationship between the well logging data and the seismic data; and drawing a three-dimensional spatial distribution map of the deep carbonate caprock according to the seismic data, the corresponding relationship between the well logging data and the seismic data, and the constructed quantitative identification criteria for the deep carbonate caprock.

[0080] More specifically, the well logging data and the seismic data are calibrated with each other, and the corresponding relationship between the well logging data and the seismic data is established by means of synthetic seismic records, seismic attribute analysis, etc.

[0081] According to information such as seismic reflection characteristics, amplitude, frequency, etc., combined with the constructed quantitative identification criteria, infer the distribution characteristics of the carbonate rock caprock in three-dimensional space, including the thickness change, lateral continuity, top and bottom interface morphology, etc. of the caprock, and determine the three-dimensional spatial distribution map, so as to realize the qualitative-quantitative identification and spatial description of the carbonate rock caprock.

[0082] There are significant differences between the developed sections of the carbonate rock caprock and the developed sections of the fracture-vug bodies. The seismic response of the carbonate rock caprock is a weak reflection characteristic with continuous and stable wave impedance, while the carbonate rock fracture-vug bodies correspond to a beaded response, with strong amplitude, low impedance and low frequency characteristics (such as Figure 4b ). According to the seismic reflection characteristics and the established quantitative identification criteria, a three-dimensional spatial distribution map of the carbonate rock caprock in this area is drawn, clearly showing the distribution range, thickness change and continuity of the caprock, providing an accurate geological basis for subsequent oil and gas exploration and well location deployment.

[0083] Obviously, the above-described embodiments are only a part of the embodiments of the present invention, rather than all of the embodiments. Based on the embodiments of the present invention, those of ordinary skill in the art can make other different forms of changes or variations without making creative efforts, and all of them should fall within the protection scope of the present invention.

Claims

1. A method for qualitative and quantitative identification of deep carbonate caprocks, characterized in that: include: Take the core of the coring section and determine the section with developed caprock and section without developed caprock; Calibrate the core with the corresponding imaging logging image after the caprock development section and the non-caprock development section are determined, and establish the relationship between the core and the imaging logging image; Based on the mutual calibration between imaging logging and conventional logging, a qualitative identification chart is established; By conducting conventional logging multi-parameter cross-analysis, a quantitative identification standard for deep carbonate caprocks was established; The logging data and seismic data are calibrated with each other and the spatial distribution diagram is determined.

2. The method for qualitative and quantitative identification of deep carbonate caprocks according to claim 1, characterized in that: The mutual calibration of the logging data and the seismic data and determination of the spatial distribution diagram includes: Calibrate the well logging data and the seismic data to each other, and establish a corresponding relationship between the well logging data and the seismic data; A three-dimensional spatial distribution diagram of the deep carbonate cap layer is drawn according to the seismic data, the corresponding relationship between the well logging data and the seismic data, and the constructed quantitative identification standard of the deep carbonate cap layer.

3. The method for qualitative and quantitative identification of deep carbonate caprocks according to claim 1, characterized in that: The quantitative identification standard of deep carbonate caprock is constructed by performing conventional well logging multi-parameter crosstalk analysis, including: Using resistivity and acoustic time difference as basic parameters, we conduct intersection analysis and obtain the intersection diagram; Neutron porosity, resistivity and acoustic time difference are introduced to conduct three-dimensional intersection analysis to form a three-dimensional intersection space and update the intersection diagram.

4. The method for qualitative and quantitative identification of deep carbonate caprocks according to claim 3, characterized in that: In the step of performing intersection analysis using resistivity and acoustic wave time difference as basic parameters to obtain an intersection map, a point clustering area with high resistivity and small acoustic wave time difference in the intersection map corresponds to a caprock development section.

5. The method for qualitative and quantitative identification of deep carbonate caprocks according to claim 1, characterized in that: The step of taking the core of the coring section and determining the cap rock development section and the non-cap rock development section thereof comprises: For the cores of the coring section, if the microfracture density is less than 1.5 / m and the coring rate is greater than 90%, it is determined as a caprock developed section; otherwise, it is a non-caprock developed section.

6. The method for qualitative and quantitative identification of deep carbonate caprocks according to claim 1, characterized in that: The method of calibrating the core after determining the caprock development section and the non-caprock development section with the corresponding imaging logging image to establish the relationship between the core and the imaging logging image includes: The cap rock development section is calibrated with the corresponding imaging logging image, and the response characteristics of the cap rock development section on the imaging logging image are analyzed to establish the relationship between the core and the imaging logging image.

7. The method for qualitative and quantitative identification of deep carbonate caprocks according to claim 6, characterized in that: The imaging logging images include static imaging and dynamic imaging; Accordingly, the step of calibrating the cap rock development section with the corresponding imaging logging image, analyzing the response characteristics of the cap rock development section on the imaging logging image, and establishing the relationship between the core and the imaging logging image includes: The cap rock development section is calibrated with the corresponding imaging logging image to clarify the difference between static imaging and dynamic imaging corresponding to different lithologies, and to establish the identification geological plate of the cap rock development section of the full-well imaging logging image.

8. The method for qualitative and quantitative identification of deep carbonate caprocks according to claim 6, characterized in that: In the step of calibrating the cap rock development section with the corresponding imaging logging image, analyzing the response characteristics of the cap rock development section on the imaging logging image to establish the relationship between the core and the imaging logging image, the response characteristics include resistivity, conductivity, color, and texture.

9. The method for qualitative and quantitative identification of deep carbonate caprocks according to claim 1, characterized in that: The method of establishing a qualitative identification chart based on mutual calibration of imaging logging and conventional logging includes: Based on the core characteristics and imaging logging characteristics of the coring section, they are compared and calibrated step by step with the conventional logging curves of the non-coring section to establish a qualitative identification chart.

10. The method for qualitative and quantitative identification of deep carbonate caprocks according to claim 9, characterized in that: In the step of establishing a qualitative identification chart, based on the core characteristics and imaging logging characteristics of the coring section, they are compared and calibrated step by step with the conventional logging curves of the non-coring section. The calibrated characteristics are used to screen out more sensitive conventional logging curves and their characteristic parameters based on historical logging data.

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