A method, system, storage medium and device for evaluating single-well reservoir quality

Abstract

This application provides a method, system, storage medium, and equipment for evaluating the quality of a single-well reservoir, relating to the field of petroleum geological exploration technology. The method includes: calculating the porosity and permeability values ​​at various depth points to determine the macroscopic physical properties and macroscopic identification values ​​of the reservoir pore structure type at each depth point; dividing the target reservoir section into sand body units to obtain multiple evaluation units; drawing a tadpole diagram corresponding to each evaluation unit based on the macroscopic physical properties, macroscopic identification values ​​of the reservoir pore structure type, and depth values ​​at each depth point within the evaluation unit; and determining the macroscopic physical property pattern and macroscopic pore structure type pattern of the evaluation unit based on the tadpole diagram to obtain the reservoir quality evaluation result of the target reservoir section in a single well. This method improves the accuracy of reservoir quality evaluation for single wells.

Description

Technical Field

[0001] This application relates to the field of oil and gas exploration and development, and more specifically, to a method, system, storage medium, and device for determining the equivalent strength of mudstone. Background Technology

[0002] As the development of clastic rock oil and gas reservoirs deepens, accurately understanding the quality of oil and gas reservoirs has become the key to guiding the economical and efficient development of oil and gas reservoirs. Among them, porosity and permeability are the parameters that have the greatest impact on development and are the most concerned in the geological evaluation of oil and gas reservoir development. These two parameters have also become the most important parameters in reservoir quality evaluation.

[0003] In existing technologies, porosity and permeability parameters are usually used as independent evaluation parameters. However, for complex reservoirs, especially for highly heterogeneous reservoir systems with "conventional-low permeability-tight" characteristics, the method of evaluating reservoir quality using porosity and permeability parameters separately will result in low evaluation accuracy. Summary of the Invention

[0004] This application aims to provide a method, system, storage medium, and equipment for evaluating the quality of reservoirs in a single well, with the goal of improving the accuracy of reservoir quality evaluation for single wells.

[0005] The first aspect of this application provides a method for evaluating the quality of a single-well reservoir, the method comprising: Based on the target porosity curve and target permeability curve of the target reservoir section, determine the porosity and permeability values ​​at each depth point in the target reservoir section; By calculating the porosity and permeability values ​​at each depth point, the macroscopic physical property values ​​of the reservoir and the macroscopic identification values ​​of the reservoir pore structure type at each depth point are determined. The macroscopic physical property values ​​of the reservoir are values ​​related to the porosity and permeability values, and the macroscopic identification values ​​of the reservoir pore structure type are angle values ​​related to the porosity and permeability values. The target reservoir section is divided into sand body units to obtain multiple evaluation units; Based on the reservoir macroscopic physical property values, reservoir pore structure type macroscopic identification values, and depth values ​​at each depth point in the evaluation unit, a tadpole diagram corresponding to the evaluation unit is drawn. Based on the changing trend of reservoir macrophysical property values ​​at depth points from bottom to top in the tadpole diagram, the reservoir macrophysical property pattern of the evaluation unit is determined. Also, based on the changing trend of reservoir pore structure type macroscopic identification values ​​at depth points from bottom to top in the tadpole diagram, the reservoir pore structure type macroscopic pattern of the evaluation unit is determined, so as to obtain the reservoir quality evaluation result of the target reservoir section in a single well.

[0006] Optionally, by calculating the porosity and permeability values ​​at each depth point, the macroscopic physical properties of the reservoir and the macroscopic identification values ​​of the reservoir pore structure type at each depth point are determined, including: The porosity and permeability values ​​at each depth point are substituted into the reservoir macrophysical property index algorithm for calculation to obtain the reservoir macrophysical property values ​​at each depth point. The expression for the algorithm of the reservoir macroscopic physical property index is as follows:

[0007] in, Let be the reservoir macroscopic physical property value at the i-th depth point. Let be the porosity value corresponding to the i-th depth point. Let be the permeability value corresponding to the i-th depth point; The porosity and permeability values ​​corresponding to each depth point are substituted into the macroscopic identification index algorithm for reservoir pore structure type to obtain the macroscopic identification values ​​of reservoir pore structure type for each depth point. The expression for the macroscopic identification index algorithm for reservoir pore structure type is as follows:

[0008] in, This is the macroscopic identification value of the reservoir pore structure type corresponding to the depth point of the i-th depth point.

[0009] Optionally, based on the reservoir macroscopic physical property values, reservoir pore structure type macroscopic identification values, and depth values ​​at each depth point in the evaluation unit, a tadpole diagram corresponding to the evaluation unit is drawn, including: Based on the reservoir macrophysical property values ​​and depth values ​​of each depth point in the evaluation unit, each depth point is plotted on a data graph with the reservoir macrophysical property values ​​as the horizontal axis and the depth values ​​of each depth point as the vertical axis. Based on the macroscopic identification values ​​of reservoir pore structure type corresponding to each depth point, the tail azimuth angle of each depth point in the data map is plotted to obtain the tadpole diagram corresponding to the evaluation unit. The data points in the tadpole diagram represent the correspondence between the macroscopic identification values ​​of reservoir pore structure type and the depth values ​​of the depth points.

[0010] Optionally, when the reservoir macrophysical property model includes a positive rhythmic model, an anti-rhythmic model, a massive model, and a chaotic model, the reservoir macrophysical property model of the evaluation unit is determined based on the changing trend of the reservoir macrophysical property values ​​at depth points from bottom to top in the tadpole diagram, including: When the change trend at depth points is that the reservoir macrophysical property values ​​decrease from bottom to top, the reservoir macrophysical property pattern of the evaluation unit is determined to be a positive rhythmic pattern. When the trend of changes at depth points is that the values ​​of reservoir macrophysical properties increase from bottom to top, the reservoir macrophysical property pattern of the evaluation unit is determined to be an anti-rhythm pattern. When the trend of change at depth points is such that the change of reservoir macrophysical property values ​​from bottom to top meets the first preset condition, the reservoir macrophysical property pattern of the evaluation unit is determined to be a blocky pattern. When the change trend of reservoir macrophysical property values ​​at depth points does not satisfy any of the judgment conditions of positive rhythmic pattern, anti-rhythmic pattern, and blocky pattern, the reservoir macrophysical property pattern of the evaluation unit is determined to be a chaotic pattern.

[0011] Optionally, when the macroscopic pattern of reservoir pore structure type includes a consistent pattern, a sequentially increasing pattern, a sequentially decreasing pattern, and a chaotic pattern, the macroscopic pattern of reservoir pore structure type of the evaluation unit is determined based on the changing trend of the macroscopic identification values ​​of reservoir pore structure type from bottom to top in the tadpole diagram, including: When the trend of the depth point change is such that the change of the azimuth angle from bottom to top meets the second preset condition, the macroscopic mode of the reservoir pore structure type of the evaluation unit is determined to be a consistent mode. When the trend of the depth point is that the azimuth angle increases from bottom to top, the macroscopic pattern of the reservoir pore structure type of the evaluation unit is determined to be a pattern of sequentially increasing azimuth angle. When the trend of the depth point is that the azimuth angle decreases from bottom to top, the macroscopic pattern of the reservoir pore structure type of the evaluation unit is determined to be a pattern of successively decreasing pore structure. When the trend of the depth point change is that the azimuth angle changes from bottom to top and does not meet any of the judgment conditions of the consistent mode, the increasing mode, and the decreasing mode, the macroscopic mode of the reservoir pore structure type of the evaluation unit is determined to be the chaotic mode.

[0012] Optionally, based on the macroscopic identification values ​​of the reservoir pore structure type corresponding to each depth point, the tail azimuth angle of each depth point in the data map is plotted to obtain the tadpole diagram corresponding to the evaluation unit, including: The macroscopic identification value of the reservoir pore structure type corresponding to the depth point is determined as the azimuth value of the depth point; The top of the data graph is defined as the due north direction, which is the starting point of the azimuth angle. The azimuth angle of the due north direction is set to 0, and the rotation direction of the azimuth angle is set to clockwise. Based on the starting direction, rotation direction, and azimuth values ​​of each depth point, the tail azimuth of each depth point in the data graph is plotted to obtain the tadpole diagram corresponding to the evaluation unit.

[0013] A second aspect of this application provides a single-well reservoir quality evaluation system, the system comprising: The parameter value determination module is used to determine the porosity and permeability values ​​at each depth point in the target reservoir section based on the target porosity curve and target permeability curve of the target reservoir section. The first numerical determination module is used to determine the macroscopic physical property values ​​of the reservoir and the macroscopic identification values ​​of the reservoir pore structure type at each depth point by calculating the porosity and permeability values ​​at each depth point. The unit division module is used to divide the target reservoir section into sand body units to obtain multiple evaluation units; The tadpole diagram drawing module is used to draw the tadpole diagram corresponding to the evaluation unit based on the reservoir macroscopic physical property values, reservoir pore structure type macroscopic identification values ​​and depth values ​​at each depth point in the evaluation unit. The evaluation result determination module is used to determine the reservoir macrophysical property pattern of the evaluation unit based on the changing trend of the reservoir macrophysical property values ​​at depth points from bottom to top in the tadpole diagram, and to determine the reservoir pore structure type macrophysical pattern of the evaluation unit based on the changing trend of the reservoir pore structure type macrophysical identification values ​​at depth points from bottom to top in the tadpole diagram, so as to obtain the reservoir quality evaluation result of the target reservoir section in a single well.

[0014] A third aspect of this application provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the steps in any of the single-well reservoir quality evaluation methods described in the first aspect.

[0015] A fourth aspect of this application provides an electronic device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that, when the processor executes the computer program, it implements the steps of the single-well reservoir quality evaluation method as described in any of the first aspects.

[0016] Beneficial effects: This application provides a method for evaluating the quality of a single-well reservoir. The method includes: determining the porosity and permeability values ​​at various depth points in the target reservoir section based on the target porosity and permeability curves; determining the macroscopic physical property values ​​and macroscopic identification values ​​of the reservoir pore structure type at each depth point by calculating the porosity and permeability values, wherein the macroscopic physical property values ​​are values ​​related to the porosity and permeability values, and the macroscopic identification values ​​of the reservoir pore structure type are angle values ​​related to the porosity and permeability values; and performing sand content analysis on the target reservoir section. The system is divided into multiple evaluation units. Based on the reservoir macrophysical property values, reservoir pore structure type macroscopic identification values, and depth values ​​at each depth point in the evaluation unit, a tadpole diagram corresponding to the evaluation unit is drawn. Based on the changing trend of the reservoir macrophysical property values ​​at the depth points in the tadpole diagram from bottom to top, the reservoir macrophysical property pattern of the evaluation unit is determined. Also, based on the changing trend of the reservoir pore structure type macroscopic identification values ​​at the depth points in the tadpole diagram from bottom to top, the reservoir pore structure type macroscopic pattern of the evaluation unit is determined, so as to obtain the reservoir quality evaluation result of the target reservoir section in a single well.

[0017] By acquiring the porosity and permeability values ​​at various depths within the target reservoir section, macroscopic reservoir properties and macroscopic identification values ​​for reservoir pore structure types are obtained at each depth. Since these values ​​reflect the macroscopic property and pore structure type differences in the reservoir's macroscopic properties and pore structure, a tadpole diagram is used to establish a vertical development model for these two parameters to evaluate reservoir quality. This evaluation method solves the problems of conventional evaluation methods, such as the inability to simultaneously consider porosity and permeability, and the inability to simultaneously consider pore structure and reservoir properties, while also improving the accuracy of reservoir quality evaluation for single wells. Attached Figure Description

[0018] To more clearly illustrate the technical solutions of the embodiments of this application, the drawings used in the description of the embodiments of this application will be briefly introduced below. Obviously, the drawings described below are only some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0019] Figure 1 This is a flowchart of a method for evaluating the quality of a single-well reservoir provided in an embodiment of this application; Figure 2 This is a tadpole diagram corresponding to an evaluation unit provided in one embodiment of this application; Figure 3This is a schematic diagram of a single-well reservoir quality evaluation system provided in an embodiment of this application. Detailed Implementation

[0020] The technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, not all embodiments. Based on the embodiments of this application, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application.

[0021] This application provides a flowchart of a method for evaluating the quality of a single-well reservoir, as shown in the embodiments below. Figure 1 As shown. Specifically, the single-well reservoir quality evaluation method provided in this application includes: S11: Determine the porosity and permeability values ​​at each depth point in the target reservoir section based on the target porosity curve and target permeability curve of the target reservoir section.

[0022] In this embodiment, the target reservoir section refers to a rock formation section within the formation encountered by a single well that has the ability to store and filter fluids. These rock formations typically have interconnected pores that allow fluids (such as oil, natural gas, or water) to be stored and flow within them. Therefore, the target reservoir section is usually the main target for oil and gas exploration and development. Thus, the quality evaluation of a single well in this application is also the quality evaluation of the target reservoir section.

[0023] Porosity is the proportion of pore space in a rock. A target porosity curve is a linear relationship between porosity values ​​at various depths in underground rock formations. Therefore, the porosity value at each depth point in the target reservoir can be determined through the porosity curve. Permeability refers to the ability of a rock to allow fluids to pass through under a certain pressure difference. A target permeability curve graphically shows the trend of permeability with depth. Therefore, the permeability value at each depth point in the target reservoir can be determined through the permeability curve.

[0024] S12: By calculating the porosity and permeability values ​​at each depth point, determine the macroscopic physical property values ​​of the reservoir and the macroscopic identification values ​​of the reservoir pore structure type at each depth point. The macroscopic physical property values ​​of the reservoir are values ​​related to the porosity and permeability values, and the macroscopic identification values ​​of the reservoir pore structure type are angle values ​​related to the porosity and permeability values.

[0025] Since porosity reflects the size of the reservoir space in the target reservoir section, and permeability reflects the connectivity of pores and the ease of fluid flow within the target reservoir section, this embodiment sets macroscopic reservoir properties and macroscopic identification indicators for reservoir pore structure types related to porosity and permeability. The macroscopic reservoir properties reflect the comprehensive storage capacity and fluid flow capacity of the target reservoir section. The macroscopic identification indicators for reservoir pore structure types reflect different types of pore structures within the target reservoir section. By calculating porosity and permeability values, the corresponding macroscopic reservoir property values ​​and macroscopic identification values ​​for reservoir pore structure types can be obtained. These macroscopic reservoir property values ​​are related to porosity and permeability values, while the macroscopic identification values ​​for reservoir pore structure types are related to angle values. The depth point refers to the vertical position or depth of the target reservoir section within the wellbore. In this embodiment, after obtaining the porosity and permeability values ​​at each depth point, the macroscopic physical property values ​​of the reservoir and the macroscopic identification values ​​of the reservoir pore structure type at each depth point can be obtained by calculating the porosity and permeability values ​​at each depth point.

[0026] S13: Divide the target reservoir section into sand body units to obtain multiple evaluation units.

[0027] Specifically, a sand body unit refers to a high-permeability sandstone layer formed within the target reservoir section due to lithological variations. These sandstone layers are separated into several independent, unconnected sandstone units by other low-permeability rock layers. In this embodiment, based on the target permeability curve corresponding to the target reservoir section, the target reservoir section is divided into multiple sand body units, and these sand body units are identified as evaluation units for reservoir quality evaluation of each unit.

[0028] S14: Based on the reservoir macroscopic physical property values, reservoir pore structure type macroscopic identification values, and depth values ​​at each depth point in the evaluation unit, draw the tadpole diagram corresponding to the evaluation unit.

[0029] Specifically, since the target reservoir segment with multiple depth points is divided into multiple evaluation units, each evaluation unit also has its own corresponding depth points. Using the reservoir macrophysical property values ​​and depth values ​​at each depth point within an evaluation unit, a Cartesian coordinate system can be obtained, with the macrophysical property values ​​forming the abscissa and the depth values ​​forming the ordinate. The macrophysical property values ​​corresponding to each depth point are then plotted in this Cartesian coordinate system to obtain a data map for that evaluation unit. Furthermore, using the macroscopic identification values ​​of the reservoir pore structure type at each depth point within the evaluation unit, the azimuth angle corresponding to each depth point is constructed from this data map, thus obtaining a tadpole diagram for that evaluation unit.

[0030] S15: Based on the changing trend of reservoir macrophysical property values ​​at depth points from bottom to top in the tadpole diagram, determine the reservoir macrophysical property pattern of the evaluation unit; and based on the changing trend of reservoir pore structure type macroscopic identification values ​​at depth points from bottom to top in the tadpole diagram, determine the reservoir pore structure type macroscopic pattern of the evaluation unit, so as to obtain the reservoir quality evaluation result of the target reservoir section in a single well.

[0031] Specifically, since each depth point in the tadpole diagram corresponds to its own macroscopic reservoir physical property values ​​and macroscopic identification values ​​for reservoir pore structure types, and since the reservoir quality evaluation of an evaluation unit targets the entire evaluation unit, the changing trend of the reservoir macroscopic physical property values ​​at depth points in the tadpole diagram from bottom to top can determine the reservoir macroscopic physical property pattern of that evaluation unit. Similarly, the changing trend of the macroscopic identification values ​​for reservoir pore structure types at depth points in the tadpole diagram from bottom to top can determine the macroscopic pattern of the reservoir pore structure type of that evaluation unit. Here, "bottom to top" in the tadpole diagram refers to the direction from larger depth values ​​to smaller depth values. After determining the reservoir macroscopic physical property pattern and the macroscopic pattern of reservoir pore structure type corresponding to that evaluation unit, the reservoir quality evaluation result for that evaluation unit is obtained. By obtaining the reservoir quality evaluation results corresponding to all evaluation units, the reservoir quality evaluation result for the target reservoir section in a single well can be obtained.

[0032] In conjunction with the above embodiments, in one implementation, the present invention also provides a method for evaluating the quality of a single-well reservoir. In this method for evaluating the quality of a single-well reservoir, the method further includes: The porosity and permeability curves of the target reservoir section are determined based on well logging interpretation.

[0033] The porosity curve and permeability curve are normalized to obtain their respective target porosity curve and target permeability curve.

[0034] Specifically, well logging interpretation is the process of using well logging data (i.e., formation physical parameters obtained through well logging methods during drilling) to infer and interpret the geological characteristics, reservoir properties, and fluid properties of a formation. Well logging interpretation yields porosity and permeability curves for the target reservoir section in a single well. Since the porosity and permeability values ​​at each depth point in the porosity and permeability curves are relatively large, they are normalized. This normalization ensures that the well logging information has a uniform scale across the entire oilfield, thereby enhancing the comparability of the logging information and improving interpretation accuracy. Normalization converts the data in the porosity and permeability curves into dimensionless values ​​within a specific range (e.g., 0-1), facilitating the subsequent acquisition of macroscopic reservoir physical property values ​​and macroscopic identification values ​​for reservoir pore structure types. Based on these macroscopic reservoir physical property values ​​and macroscopic identification values ​​for reservoir pore structure types, a tadpole diagram is then drawn. The target porosity curve and target permeability curve are obtained after normalization of the porosity curve and permeability curve.

[0035] In conjunction with the above embodiments, in one implementation, the present invention also provides a method for evaluating the quality of a single-well reservoir. In this method, step S12 includes steps S21 to S24: S21: Substitute the porosity and permeability values ​​at each depth point into the reservoir macrophysical property index algorithm to calculate the reservoir macrophysical property values ​​at each depth point.

[0036] S22: The expression for the algorithm of the reservoir macroscopic physical property index is:

[0037] in, Let be the reservoir macroscopic physical property value at the i-th depth point. Let be the porosity value corresponding to the i-th depth point. Let be the permeability value corresponding to the i-th depth point.

[0038] S23: Substitute the porosity and permeability values ​​corresponding to each depth point into the macroscopic identification index algorithm for reservoir pore structure type to obtain the macroscopic identification value of reservoir pore structure type for each depth point.

[0039] S24: The expression for the macroscopic identification index algorithm of the reservoir pore structure type is:

[0040] in, This is the macroscopic identification value of the reservoir pore structure type corresponding to the depth point of the i-th depth point.

[0041] Specifically, the porosity and permeability values ​​at each depth point in the target reservoir section can be obtained through the target porosity curve and the target permeability curve. In this embodiment, a reservoir macrophysical property index algorithm is provided, which can be used to obtain the reservoir macrophysical property values ​​corresponding to each depth point. The reservoir macrophysical property index algorithm is as follows:

[0042] Specifically, Let be the reservoir macroscopic physical property value at the i-th depth point. Let be the porosity value corresponding to the i-th depth point. Let be the permeability value corresponding to the i-th depth point. The porosity and permeability values ​​corresponding to each depth point in the target reservoir segment are substituted into the macroscopic physical property index algorithm for calculation to obtain the macroscopic physical property value of the reservoir corresponding to each depth point. Among these, the macroscopic physical property values ​​of the reservoir determined by both porosity and permeability values ​​more accurately reflect the macroscopic physical property characteristics of the reservoir corresponding to each depth point.

[0043] This embodiment also provides a macroscopic identification index algorithm for reservoir pore structure type. The macroscopic identification index algorithm for reservoir pore structure type is as follows:

[0044] Specifically, This represents the macroscopic identification value for the reservoir pore structure type corresponding to the i-th depth point. By substituting the porosity and permeability values ​​corresponding to each depth point in the target reservoir segment into the macroscopic identification index algorithm for the reservoir pore structure type, the macroscopic identification value for the reservoir pore structure type corresponding to each depth point can be obtained. Among these, the macroscopic identification value for the reservoir pore structure type determined jointly by the porosity and permeability values ​​more accurately identifies the reservoir pore structure type corresponding to each depth point.

[0045] In conjunction with the above embodiments, in one implementation, the present invention also provides a method for evaluating the quality of a single-well reservoir. In this method, step S14 includes steps S31 to S32: S31: Based on the reservoir macrophysical property values ​​and depth values ​​of each depth point in the evaluation unit, plot each depth point on a data graph with the reservoir macrophysical property values ​​as the horizontal axis and the depth values ​​of each depth point as the vertical axis.

[0046] S32: Based on the macroscopic identification values ​​of reservoir pore structure type corresponding to each depth point, draw the tail azimuth angle of each depth point in the data map to obtain the tadpole diagram corresponding to the evaluation unit. The data points in the tadpole diagram represent the correspondence between the macroscopic identification values ​​of reservoir pore structure type and the depth values ​​of the depth points.

[0047] In this embodiment, a tadpole diagram corresponding to the evaluation unit is also provided, such as... Figure 2 As shown. Specifically, the target reservoir segment is divided into multiple evaluation units. Given the known macroscopic physical property values ​​and macroscopic identification values ​​of reservoir pore structure type at each depth point in the target reservoir segment, the macroscopic physical property values ​​and macroscopic identification values ​​of reservoir pore structure type at each depth point in each evaluation unit can be obtained.

[0048] Based on the macroscopic physical properties of the reservoir and the depth values ​​of depth points, a rectangular coordinate system is constructed, such as... Figure 2 As shown. Since this application evaluates the quality of an evaluation unit, the reservoir macroscopic physical property values ​​that reflect a certain characteristic of the evaluation unit are used as the abscissa in a rectangular coordinate system, such as... Figure 2 The macroscopic physical properties of the reservoir increase sequentially along the horizontal arrow direction, as shown. Simultaneously, based on the depth value at the depth point, the ordinate in this rectangular coordinate system is determined, as follows: Figure 2 The depth values ​​increase sequentially along the vertical arrow direction. Given the depth value and reservoir macroscopic properties of a given depth point, its position in the Cartesian coordinate system can be determined. Once the positions of each depth point in the evaluation unit are determined in the Cartesian coordinate system, the corresponding data map for that evaluation unit can be obtained.

[0049] To reflect the changing trend of the macroscopic identification values ​​of reservoir porosity structure type corresponding to depth points in the evaluation unit, and to visually display this trend in the data graph, this embodiment determines the azimuth of each depth point in the data graph using the macroscopic identification values ​​of the reservoir porosity structure type corresponding to each depth point. Specifically, based on the macroscopic identification value of the reservoir porosity structure type for each depth point and the set azimuth direction, the tail azimuth of that depth point is plotted at its location in the data graph, where the magnitude of the azimuth is determined by the macroscopic identification value of the reservoir porosity structure type for that depth point. After plotting the tail azimuths of each depth point in the evaluation unit in the corresponding data graph, the tadpole diagram corresponding to that evaluation unit can be obtained, such as... Figure 2 As shown.

[0050] In conjunction with the above embodiments, in one implementation, the present invention also provides a method for evaluating the quality of a single-well reservoir. In this method, when the reservoir macroscopic property pattern includes a positive rhythmic pattern, an anti-rhythmic pattern, a massive pattern, and a disordered pattern, step S15 includes steps S41 to S44: S41: When the change trend at depth points is that the reservoir macrophysical property values ​​decrease from bottom to top, the reservoir macrophysical property pattern of the evaluation unit is determined to be a positive rhythmic pattern.

[0051] S42: When the trend of changes in depth points is that the values ​​of reservoir macrophysical properties increase from bottom to top, the reservoir macrophysical property pattern of the evaluation unit is determined to be an anti-rhythm pattern.

[0052] S43: When the change trend of the depth point is such that the change of the reservoir macrophysical property values ​​from bottom to top meets the first preset condition, the reservoir macrophysical property pattern of the evaluation unit is determined to be a blocky pattern.

[0053] S44: When the change trend of reservoir macrophysical property values ​​at depth points does not satisfy any of the judgment conditions of positive rhythmic pattern, anti-rhythmic pattern, and blocky pattern, the reservoir macrophysical property pattern of the evaluation unit is determined to be a chaotic pattern.

[0054] When reservoir macrophysical property patterns include positive rhythmic patterns, negative rhythmic patterns, blocky patterns, and chaotic patterns, the corresponding macrophysical property pattern of an evaluation unit can be determined by using the tadpole plot. Specifically, observing the trend of changes in depth points from bottom to top in the tadpole plot, if the reservoir macrophysical property values ​​at depth points decrease from bottom to top, the reservoir macrophysical property pattern of the evaluation unit is determined to be a positive rhythmic pattern. Observing the tadpole plot from bottom to top, if the trend of changes in depth points shows that the reservoir macrophysical property values ​​increase from bottom to top, the reservoir macrophysical property pattern of the evaluation unit is determined to be a negative rhythmic pattern. If the change in reservoir macrophysical property values ​​at depth points from bottom to top meets a first preset condition, the reservoir macrophysical property pattern of the evaluation unit is determined to be a blocky pattern. The first preset condition is that the difference between the maximum and minimum reservoir macrophysical property values ​​in the evaluation unit is less than a first preset value, which is determined by the staff based on the actual single-well conditions. If the trend of changes in depth points, where the changes in reservoir macrophysical property values ​​from bottom to top are neither increasing nor decreasing, and do not meet the first preset condition, then the reservoir macrophysical property model of the evaluation unit is determined to be a chaotic model. In other words, if the trend of changes in depth points, where the changes in reservoir macrophysical property values ​​from bottom to top, do not meet any of the judgment conditions for a positive rhythmic model, an anti-rhythmic model, or a blocky model, then the reservoir macrophysical property model of the evaluation unit is determined to be a chaotic model.

[0055] In conjunction with the above embodiments, in one implementation, the present invention also provides a method for evaluating the quality of a single-well reservoir. In this method, when the macroscopic pattern of the reservoir pore structure type includes a uniform pattern, a sequentially increasing pattern, a sequentially decreasing pattern, and a chaotic pattern, step S15 includes steps S51 to S54: S51: When the trend of the depth point change is that the change of the azimuth angle from bottom to top meets the second preset condition, the macroscopic mode of the reservoir pore structure type of the evaluation unit is determined to be a consistent mode.

[0056] S52: When the trend of the depth point is that the azimuth angle increases from bottom to top, the macroscopic pattern of the reservoir pore structure type of the evaluation unit is determined to be a pattern of sequentially increasing azimuth angle.

[0057] S53: When the trend of the depth point is that the azimuth angle decreases from bottom to top, the macroscopic pattern of the reservoir pore structure type of the evaluation unit is determined to be a pattern of successively decreasing pore structure.

[0058] S54: When the change trend of the depth point is such that the change of the azimuth angle from bottom to top does not meet any of the judgment conditions of the consistent mode, the increasing mode, and the decreasing mode, the macroscopic mode of the reservoir pore structure type of the evaluation unit is determined to be the chaotic mode.

[0059] Specifically, when the macroscopic pattern of reservoir pore structure type includes a consistent pattern, a sequentially increasing pattern, a sequentially decreasing pattern, and a chaotic pattern, the azimuth angle of each depth point in the tadpole diagram is observed to determine the bottom-up trend of depth point variation. Specifically, by determining the azimuth angle of each depth point in the tadpole diagram, the bottom-up trend of the azimuth angle is observed. If the bottom-up change of the azimuth angle meets a second preset condition, the macroscopic pattern of reservoir pore structure type for that evaluation unit is determined to be a consistent pattern. The second preset condition is that the difference between the macroscopic identification values ​​of the largest and smallest reservoir pore structure type in that evaluation unit is less than a second preset value, which is determined by the staff based on the actual working conditions of a single well. When the second preset condition is met, i.e., the change in the azimuth angle of the depth point is not significant, the macroscopic pattern of reservoir pore structure type for that evaluation unit is determined to be a consistent pattern. If the azimuth angle of the depth point changes from bottom to top and the trend is increasing, then the macroscopic pattern of the reservoir pore structure type of the evaluation unit is determined to be an increasing pattern. If the azimuth angle of the depth point changes from bottom to top and the trend is decreasing, then the macroscopic pattern of the reservoir pore structure type of the evaluation unit is determined to be a decreasing pattern. If the azimuth angle change from bottom to top at the depth point does not satisfy any of the judgment conditions of the consistent pattern, the increasing pattern, or the decreasing pattern, that is, the trend is neither increasing nor decreasing, and it does not satisfy the second preset condition, then the macroscopic pattern of the reservoir pore structure type of the evaluation unit is determined to be a chaotic pattern.

[0060] After determining the macroscopic reservoir property model and reservoir pore structure type model corresponding to the evaluation unit, a quality evaluation can be made for that evaluation unit. After evaluating the reservoir quality of all evaluation units in the target reservoir section, a reservoir quality evaluation can be made for the target reservoir section in a single well. For example, if the reservoir quality evaluation result of the first evaluation unit in the target reservoir section is a positive rhythmic pattern—increasingly larger pattern, and the reservoir quality evaluation result of the second evaluation unit is a blocky pattern—decreasingly smaller pattern, then the reservoir quality evaluation result for the single well containing the target reservoir section will be a positive rhythmic pattern—increasingly larger pattern and a blocky pattern—decreasingly smaller pattern.

[0061] In conjunction with the above embodiments, in one implementation, the present invention also provides a method for evaluating the quality of a single-well reservoir. In this method, step S42 includes steps S61 to S63: S61: The macroscopic identification value of the reservoir pore structure type corresponding to the depth point is determined as the azimuth value of the depth point.

[0062] S62: Determine the top of the data graph as the due north direction, the due north direction as the starting direction of the azimuth angle, and determine that the azimuth angle of the due north direction is 0, and determine that the rotation direction of the azimuth angle is clockwise.

[0063] S63: Based on the starting direction, rotation direction, and azimuth values ​​of each depth point, draw the tail azimuth of each depth point in the data graph to obtain the tadpole diagram corresponding to the evaluation unit.

[0064] In this embodiment, the macroscopic identification value of the reservoir pore structure type corresponding to each depth point is determined as the azimuth value of each depth point, i.e., the magnitude of the azimuth. The upward direction in the data graph is defined as true north, and this true north direction is also defined as the starting direction of the azimuth. The azimuth value of true north is set to 0, and the clockwise direction is defined as the rotation direction of the azimuth. Now, knowing the starting direction of the azimuth, the rotation direction, and the azimuth values ​​of each depth point, in the data graph, using the starting direction of each depth point as a reference, the corresponding angle size of each depth point is obtained by rotating in the rotation direction, where the angle size is determined by the azimuth value of each depth point, to draw the tail azimuth size of each depth point, as shown below. Figure 2 As shown. After plotting the tail azimuth angles of all depth points in the data graph, the tadpole diagram corresponding to the evaluation unit is obtained.

[0065] Based on the same inventive concept, one embodiment of this application provides a single-well reservoir quality evaluation system, such as... Figure 3 As shown, a schematic diagram of a single-well reservoir quality evaluation system is provided.

[0066] The parameter value determination module 301 is used to determine the porosity value and permeability value at each depth point in the target reservoir section based on the target porosity curve and target permeability curve of the target reservoir section. The first numerical determination module 302 is used to determine the macroscopic physical property values ​​of the reservoir and the macroscopic identification values ​​of the reservoir pore structure type at each depth point by calculating the porosity value and permeability value at each depth point. The unit division module 303 is used to divide the target reservoir section into sand body units to obtain multiple evaluation units; The tadpole diagram drawing module 304 is used to draw the tadpole diagram corresponding to the evaluation unit based on the reservoir macroscopic physical property values, reservoir pore structure type macroscopic identification values ​​and depth values ​​at each depth point in the evaluation unit. The evaluation result determination module 305 is used to determine the reservoir macrophysical property pattern of the evaluation unit based on the changing trend of the reservoir macrophysical property values ​​at depth points from bottom to top in the tadpole diagram, and to determine the reservoir pore structure type macrophysical pattern of the evaluation unit based on the changing trend of the reservoir pore structure type macrophysical identification values ​​at depth points from bottom to top in the tadpole diagram, so as to obtain the reservoir quality evaluation result of the target reservoir section in a single well.

[0067] Optionally, the evaluation system for single-well reservoir quality may also include: The curve determination module is used to determine the porosity and permeability curves of the target reservoir section based on well logging interpretation. The target curve determination module is used to normalize the porosity curve and the permeability curve respectively to obtain their respective target porosity curve and target permeability curve.

[0068] In another embodiment, the first numerical determination module 302 includes: The reservoir macrophysical property index algorithm module is used to substitute the porosity and permeability values ​​at each depth point into the reservoir macrophysical property index algorithm for calculation, thereby obtaining the reservoir macrophysical property values ​​at each depth point; the expression of the reservoir macrophysical property index algorithm is:

[0069] in, Let be the reservoir macroscopic physical property value at the i-th depth point. Let be the porosity value corresponding to the i-th depth point. Let be the permeability value corresponding to the i-th depth point; The macroscopic identification index algorithm module for reservoir pore structure type is used to substitute the porosity value and permeability value corresponding to each depth point into the macroscopic identification index algorithm for reservoir pore structure type to calculate and obtain the macroscopic identification value of reservoir pore structure type corresponding to each depth point. The expression for the macroscopic identification index algorithm for reservoir pore structure type is as follows:

[0070] in, This is the macroscopic identification value of the reservoir pore structure type corresponding to the depth point of the i-th depth point.

[0071] In another embodiment, the tadpole drawing module 304 includes: The data graph determination module is used to plot each depth point on a data graph with the reservoir macrophysical property value as the horizontal axis and the depth of each depth point as the vertical axis, based on the reservoir macrophysical property value and the depth value of each depth point in the evaluation unit. The tadpole diagram determination module is used to draw the tail azimuth angle of each depth point in the data map based on the macroscopic identification value of the reservoir pore structure type corresponding to each depth point, and obtain the tadpole diagram corresponding to the evaluation unit.

[0072] In another embodiment, the evaluation result determination module 305 includes: The positive rhythm pattern determination module is used to determine the reservoir macrophysical property pattern of the evaluation unit as a positive rhythm pattern when the change trend of the depth point is that the reservoir macrophysical property values ​​decrease from bottom to top. The anti-rhythm pattern determination module is used to determine the reservoir macrophysical property pattern of the evaluation unit as an anti-rhythm pattern when the change trend of the depth point is that the reservoir macrophysical property values ​​increase from bottom to top. The block pattern determination module is used to determine the reservoir macrophysical property pattern of the evaluation unit as a block pattern when the change trend of the depth point is such that the change of the reservoir macrophysical property values ​​from bottom to top meets the first preset condition. The first disordered pattern determination module is used to determine the reservoir macrophysical property pattern of the evaluation unit as disordered when the change trend of the depth point shows that the change of the reservoir macrophysical property values ​​from bottom to top does not meet any of the judgment conditions of positive rhythmic pattern, anti-rhythmic pattern and blocky pattern.

[0073] In another embodiment, the evaluation result determination module 305 includes: The consistency mode determination module is used to determine the macroscopic mode of the reservoir pore structure type of the evaluation unit as a consistency mode when the change trend of the depth point is that the change of the azimuth angle from bottom to top meets the second preset condition. The sequentially increasing pattern determination module is used to determine the macroscopic pattern of the reservoir pore structure type of the evaluation unit as a sequentially increasing pattern when the trend of the change in depth point is that the azimuth angle increases from bottom to top. The sequentially decreasing mode determination module is used to determine the macroscopic mode of the reservoir pore structure type of the evaluation unit as a sequentially decreasing mode when the trend of the change in depth point is that the azimuth angle decreases from bottom to top. The second chaotic pattern determination module is used to determine the macroscopic pattern of the reservoir pore structure of the evaluation unit as chaotic when the change trend of the depth point is that the change of the azimuth angle from bottom to top does not meet any of the judgment conditions of the consistent pattern, the increasing pattern, and the decreasing pattern.

[0074] In another embodiment, the tadpole diagram determination module includes: The azimuth angle determination module is used to determine the macroscopic identification value of the reservoir pore structure type corresponding to the depth point as the azimuth angle value of the depth point. The direction determination module is used to determine the top of the data map as the due north direction, the due north direction is the starting direction of the azimuth angle, and to determine that the azimuth angle of the due north direction is 0, and to determine that the rotation direction of the azimuth angle is clockwise. The tadpole diagram determination submodule is used to draw the tail azimuth of each depth point in the data diagram based on the starting direction, rotation direction, and azimuth values ​​of each depth point, thereby obtaining the tadpole diagram corresponding to the evaluation unit.

[0075] Based on the same inventive concept, one embodiment of this application provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, performs any step in the evaluation of single-well reservoir quality.

[0076] Based on the same inventive concept, one embodiment of this application provides an electronic device, including a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, it performs any step in the evaluation of single-well reservoir quality.

[0077] In the single-well reservoir quality evaluation method provided in this application embodiment, two new evaluation indicators are set: reservoir macroscopic physical property indicators and reservoir pore structure type macroscopic identification indicators. These are used to construct a tadpole diagram that reflects the changing trends of depth points. By observing the changing trends of depth points from bottom to top in the tadpole diagram, the reservoir macroscopic physical property pattern and reservoir pore structure type macroscopic pattern of the evaluation unit corresponding to the tadpole diagram can be clearly identified. This method solves the problems of conventional evaluation methods, such as the inability to simultaneously consider porosity and permeability, and the inability to simultaneously consider pore structure and reservoir physical properties. Furthermore, by using the reservoir macroscopic physical property pattern and the reservoir pore structure type macroscopic pattern, the quality of the target reservoir section in a single well can be evaluated more accurately.

[0078] The various embodiments in this specification are described in a progressive manner, with each embodiment focusing on the differences from other embodiments. The same or similar parts between the various embodiments can be referred to each other.

[0079] Those skilled in the art will understand that embodiments of the present invention can provide methods, apparatus, electronic devices, storage media, or computer program products. Therefore, embodiments of the present invention can take the form of entirely hardware embodiments, entirely software embodiments, or embodiments combining software and hardware aspects. Furthermore, embodiments of the present invention can take the form of computer program products implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0080] Although preferred embodiments of the present application have been described, those skilled in the art, upon learning the basic inventive concept, can make other changes and modifications to these embodiments. Therefore, the appended claims are intended to be interpreted as including the preferred embodiments as well as all changes and modifications falling within the scope of the embodiments of the present application.

[0081] In the description of this specification, the references to terms such as "one embodiment," "some embodiments," "illustrative embodiment," "example," "specific example," or "some examples," etc., indicate that a specific feature, structure, material, or characteristic described in connection with that embodiment or example is included in at least one embodiment or example of the invention. In this specification, the illustrative expressions of the above terms do not necessarily refer to the same embodiment or example. Furthermore, the specific features, structures, materials, or characteristics described may be combined in any suitable manner in one or more embodiments or examples.

[0082] Furthermore, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or terminal device that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or terminal device. Without further limitation, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or terminal device that includes that element.

[0083] The above provides a detailed description of the method, system, storage medium, and equipment for evaluating the quality of a single well reservoir provided in this application. Specific examples have been used to illustrate the principles and implementation methods of this application. The descriptions of the above embodiments are only for the purpose of helping to understand the method and its core ideas. At the same time, for those skilled in the art, there will be changes in the specific implementation methods and application scope based on the ideas of this application. Therefore, the content of this specification should not be construed as a limitation of this application.

Claims

1. A method of evaluating single well reservoir quality, characterized by, The method includes: Based on the target porosity curve and target permeability curve of the target reservoir section, determine the porosity and permeability values ​​at each depth point in the target reservoir section; By calculating the porosity and permeability values ​​at each depth point, the macroscopic physical property values ​​of the reservoir and the macroscopic identification values ​​of the reservoir pore structure type at each depth point are determined. The macroscopic physical property values ​​of the reservoir are values ​​related to the porosity and permeability values, and the macroscopic identification values ​​of the reservoir pore structure type are angle values ​​related to the porosity and permeability values. The target reservoir section is divided into sand body units to obtain multiple evaluation units; Based on the reservoir macroscopic physical property values, reservoir pore structure type macroscopic identification values, and depth values ​​at each depth point in the evaluation unit, a tadpole diagram corresponding to the evaluation unit is drawn. Based on the changing trend of reservoir macrophysical property values ​​at depth points from bottom to top in the tadpole diagram, the reservoir macrophysical property pattern of the evaluation unit is determined. Also, based on the changing trend of reservoir pore structure type macroscopic identification values ​​at depth points from bottom to top in the tadpole diagram, the reservoir pore structure type macroscopic pattern of the evaluation unit is determined, so as to obtain the reservoir quality evaluation result of the target reservoir section in a single well.

2. The method for evaluating single-well reservoir quality according to claim 1, characterized by, By calculating the porosity and permeability values ​​at various depth points, the macroscopic physical properties of the reservoir and the macroscopic identification values ​​of the reservoir pore structure type at each depth point are determined, including: The porosity and permeability values ​​at each depth point are substituted into the reservoir macrophysical property index algorithm for calculation to obtain the reservoir macrophysical property values ​​at each depth point. The expression for the algorithm of the reservoir macroscopic physical property index is as follows: wherein, is the reservoir macroscopic property value for the i-th depth point, is the porosity value corresponding to the i-th depth point, is the permeability value corresponding to the i-th depth point; The porosity and permeability values ​​corresponding to each depth point are substituted into the macroscopic identification index algorithm for reservoir pore structure type to obtain the macroscopic identification values ​​of reservoir pore structure type for each depth point. The expression for the macroscopic identification index algorithm for reservoir pore structure type is as follows: in, This is the macroscopic identification value of the reservoir pore structure type corresponding to the depth point of the i-th depth point.

3. The method for evaluating the quality of a single-well reservoir according to claim 1, characterized in that, Based on the reservoir macroscopic physical property values, reservoir pore structure type macroscopic identification values, and depth values ​​at each depth point in the evaluation unit, a tadpole diagram corresponding to the evaluation unit is drawn, including: Based on the reservoir macrophysical property values ​​and depth values ​​of each depth point in the evaluation unit, each depth point is plotted on a data graph with the reservoir macrophysical property values ​​as the horizontal axis and the depth values ​​of each depth point as the vertical axis. Based on the macroscopic identification values ​​of reservoir pore structure type corresponding to each depth point, the tail azimuth angle of each depth point in the data map is plotted to obtain the tadpole diagram corresponding to the evaluation unit. The data points in the tadpole diagram represent the correspondence between the macroscopic identification values ​​of reservoir pore structure type and the depth values ​​of the depth points.

4. The method for evaluating the quality of a single-well reservoir according to claim 3, characterized in that, When the reservoir macrophysical property model includes positive rhythmic model, negative rhythmic model, massive model, and chaotic model, the reservoir macrophysical property model of the evaluation unit is determined based on the changing trend of the reservoir macrophysical property values ​​at depth points from bottom to top in the tadpole diagram, including: When the change trend at depth points is that the reservoir macrophysical property values ​​decrease from bottom to top, the reservoir macrophysical property pattern of the evaluation unit is determined to be a positive rhythmic pattern. When the trend of changes at depth points is that the values ​​of reservoir macrophysical properties increase from bottom to top, the reservoir macrophysical property pattern of the evaluation unit is determined to be an anti-rhythm pattern. When the trend of change at depth points is such that the change of reservoir macrophysical property values ​​from bottom to top meets the first preset condition, the reservoir macrophysical property pattern of the evaluation unit is determined to be a blocky pattern. When the change trend of reservoir macrophysical property values ​​at depth points does not satisfy any of the judgment conditions of positive rhythmic pattern, anti-rhythmic pattern, and blocky pattern, the reservoir macrophysical property pattern of the evaluation unit is determined to be a chaotic pattern.

5. The method for evaluating the quality of a single-well reservoir according to claim 3, characterized in that, When the macroscopic patterns of reservoir pore structure types include a consistent pattern, a sequentially increasing pattern, a sequentially decreasing pattern, and a chaotic pattern, the macroscopic pattern of the reservoir pore structure type of the evaluation unit is determined based on the changing trend of the macroscopic identification values ​​of the reservoir pore structure type from bottom to top in the tadpole diagram, including: When the trend of the depth point change is such that the change of the azimuth angle from bottom to top meets the second preset condition, the macroscopic mode of the reservoir pore structure type of the evaluation unit is determined to be a consistent mode. When the trend of the depth point is that the azimuth angle increases from bottom to top, the macroscopic pattern of the reservoir pore structure type of the evaluation unit is determined to be a pattern of sequentially increasing azimuth angle. When the trend of the depth point is that the azimuth angle decreases from bottom to top, the macroscopic pattern of the reservoir pore structure type of the evaluation unit is determined to be a pattern of successively decreasing pore structure. When the trend of the depth point change is that the azimuth angle changes from bottom to top and does not meet any of the judgment conditions of the consistent mode, the increasing mode, and the decreasing mode, the macroscopic mode of the reservoir pore structure type of the evaluation unit is determined to be the chaotic mode.

6. The method for evaluating the quality of a single-well reservoir according to claim 2, characterized in that, Based on the macroscopic identification values ​​of the reservoir pore structure type corresponding to each depth point, the tail azimuth angle of each depth point in the data map is plotted to obtain the tadpole diagram corresponding to the evaluation unit, including: The macroscopic identification value of the reservoir pore structure type corresponding to the depth point is determined as the azimuth value of the depth point; The top of the data graph is defined as the due north direction, which is the starting point of the azimuth angle. The azimuth angle of the due north direction is set to 0, and the rotation direction of the azimuth angle is set to clockwise. Based on the starting direction, rotation direction, and azimuth values ​​of each depth point, the tail azimuth of each depth point in the data graph is plotted to obtain the tadpole diagram corresponding to the evaluation unit.

7. A single-well reservoir quality evaluation system, characterized in that, The system includes: The parameter value determination module is used to determine the porosity and permeability values ​​at each depth point in the target reservoir section based on the target porosity curve and target permeability curve of the target reservoir section. The first numerical determination module is used to determine the macroscopic physical property values ​​of the reservoir and the macroscopic identification values ​​of the reservoir pore structure type at each depth point by calculating the porosity and permeability values ​​at each depth point. The unit division module is used to divide the target reservoir section into sand body units to obtain multiple evaluation units; The tadpole diagram drawing module is used to draw the tadpole diagram corresponding to the evaluation unit based on the reservoir macroscopic physical property values, reservoir pore structure type macroscopic identification values ​​and depth values ​​at each depth point in the evaluation unit. The evaluation result determination module is used to determine the reservoir macrophysical property pattern of the evaluation unit based on the changing trend of the reservoir macrophysical property values ​​at depth points from bottom to top in the tadpole diagram, and to determine the reservoir pore structure type macrophysical pattern of the evaluation unit based on the changing trend of the reservoir pore structure type macrophysical identification values ​​at depth points from bottom to top in the tadpole diagram, so as to obtain the reservoir quality evaluation result of the target reservoir section in a single well.

8. A computer-readable storage medium having a computer program stored thereon, characterized in that, When executed by a processor, the computer program implements the steps in the single-well reservoir quality evaluation method as described in any one of claims 1 to 7.

9. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that, When the processor executes the computer program, it implements the steps of the single-well reservoir quality evaluation method as described in any one of claims 1 to 7.

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