Method, device and equipment for identifying mudstone and shale reservoir types and medium

Abstract

The embodiment of the invention discloses a mudstone and shale reservoir type identification method and device, equipment and a medium. The method comprises the following steps: acquiring a target proportion of a target pore in a storage space of a test sample; the test sample is made according to a rock sample, the rock sample is obtained from a target stratum, the target stratum is a mudstone or shale reservoir, and the target pores are organic pores, inorganic pores and cracks; determining a target area corresponding to the target proportion of the target pore in a triangular chart; different areas in the triangular chart correspond to different proportions of target pores, and different areas correspond to different reservoir types; and determining the reservoir type corresponding to the target area as the reservoir type of the target stratum. According to the technical scheme, after the reservoir types are quantitatively divided, the reservoir types of the target stratum can be accurately recognized, and guidance and reference are provided for quantitative evaluation, exploration and development of oil and gas reservoirs.

Description

Technical Field

[0001] This invention relates to the field of oil and gas geology, and in particular to a method, apparatus, equipment and medium for identifying mudstone and shale reservoir types. Background Technology

[0002] Mudstone and shale are rocks composed of particles the size of silt and clay. As reservoirs, their composition and structure determine their fine pore structure. The larger pores are typically less than a few micrometers in size, with the vast majority being smaller than 1 μm, primarily consisting of micrometer and nanopores. The pore type, pore structure, and connectivity of mudstone and shale reservoirs are crucial for evaluating shale oil and gas reservoirs, influencing the exploration, evaluation, and development of shale oil and gas resources.

[0003] How to quantitatively classify and identify reservoirs based on porosity is a technical problem that urgently needs to be solved by those skilled in the art. Summary of the Invention

[0004] This invention provides a method, apparatus, equipment, and medium for identifying mudstone and shale reservoir types, which can classify and identify reservoir types based on pore type.

[0005] According to one aspect of the present invention, a method for identifying mudstone and shale reservoir types is provided, the method comprising:

[0006] The target proportion of target porosity in the reservoir space of the test sample is obtained; the test sample is prepared based on a rock sample obtained from a target formation, which is a mudstone or shale reservoir, and the target porosity is organic porosity, inorganic porosity, and fractures;

[0007] In the triangular diagram, the target region corresponding to the target proportion of the target porosity is determined; different regions within the triangular diagram correspond to different proportions of the target porosity, and different regions correspond to different reservoir types;

[0008] The reservoir type corresponding to the target area is determined as the reservoir type of the target formation.

[0009] According to another aspect of the present invention, a device for identifying mudstone and shale reservoir types is provided, comprising:

[0010] The target proportion acquisition module is used to acquire the target proportion of target porosity in the storage space of the test sample; the test sample is made based on a rock sample, which is obtained from a target stratum, which is a mudstone or shale reservoir, and the target porosity is organic porosity, inorganic porosity, and fractures;

[0011] The target region determination module is used to determine the target region corresponding to the target proportion of the target porosity in the triangular diagram; different regions in the triangular diagram correspond to different proportions of target porosity, and different regions correspond to different reservoir types.

[0012] The reservoir type determination module is used to determine the reservoir type corresponding to the target area as the reservoir type of the target formation.

[0013] According to another aspect of the present invention, an electronic device is provided, the electronic device comprising:

[0014] At least one processor; and

[0015] A memory communicatively connected to the at least one processor; wherein,

[0016] The memory stores a computer program that can be executed by the at least one processor, which enables the at least one processor to perform the mudstone and shale reservoir type identification method according to any embodiment of the present invention.

[0017] According to another aspect of the present invention, a computer-readable storage medium is provided, the computer-readable storage medium storing computer instructions for causing a processor to execute and implement the method for identifying mudstone and shale reservoir types according to any embodiment of the present invention.

[0018] The technical solution of this application includes: obtaining the target proportion of target porosity in the reservoir space of a test sample; the test sample is prepared based on a rock sample obtained from a target formation, the target formation being a mudstone or shale reservoir, and the target porosity being organic porosity, inorganic porosity, and fractures; determining the target area corresponding to the target proportion of target porosity in a triangular plot; different areas within the triangular plot corresponding to different proportions of target porosity, and different areas corresponding to different reservoir types; determining the reservoir type corresponding to the target area as the reservoir type of the target formation. This technical solution can accurately identify the reservoir type of the target formation after quantitatively classifying reservoir types, providing guidance and reference for the quantitative evaluation and exploration and development of oil and gas reservoirs.

[0019] It should be understood that the description in this section is not intended to identify key or essential features of the embodiments of the present invention, nor is it intended to limit the scope of the invention. Other features of the invention will become readily apparent from the following description. Attached Figure Description

[0020] To more clearly illustrate the technical solutions in the embodiments of this application, the drawings used in the description of the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0021] Figure 1 This is a flowchart of a method for identifying mudstone and shale reservoir types according to Embodiment 1 of this application;

[0022] Figure 2 This is a flowchart of a method for identifying mudstone and shale reservoir types according to Embodiment 2 of this application;

[0023] Figure 3 This is a schematic diagram of a triangular plate according to Embodiment 2 of this application;

[0024] Figure 4 This is a schematic diagram of determining a target area according to Embodiment 2 of this application;

[0025] Figure 5 This is a schematic diagram of a device for identifying mudstone and shale reservoir types according to Embodiment 3 of this application;

[0026] Figure 6 This is a schematic diagram of the structure of an electronic device that implements a method for identifying mudstone and shale reservoir types according to an embodiment of this application. Detailed Implementation

[0027] To enable those skilled in the art to better understand the present invention, 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 the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort should fall within the scope of protection of the present invention.

[0028] It should be noted that the terms "first," "second," "target," etc., used in the specification, claims, and accompanying drawings of this invention are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that such data can be interchanged where appropriate so that embodiments of the invention described herein can be implemented in orders other than those illustrated or described herein. Furthermore, the terms "comprising" and "having," and any variations thereof, are intended to cover non-exclusive inclusion; for example, a process, method, system, product, or apparatus that comprises a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or units not explicitly listed or inherent to such processes, methods, products, or apparatus.

[0029] Example 1

[0030] Figure 1 This application provides a flowchart of a method for identifying mudstone and shale reservoir types, as shown in Embodiment 1. This embodiment is applicable to reservoir identification. The method can be executed by a mudstone and shale reservoir type identification device, which can be implemented in hardware and / or software and can be configured in an electronic device with data processing capabilities. Figure 1 As shown, the method includes:

[0031] S110, obtain the target percentage of target pores in the storage space of the test sample.

[0032] The test sample, used to identify porosity, is prepared based on a rock sample and can be a thin section or a block sample. The test sample reflects the porosity characteristics of the target reservoir. In this embodiment, the test sample is prepared based on a rock sample obtained from a target formation, which is a mudstone or shale reservoir. The target porosity includes organic porosity, inorganic porosity, and fractures. That is, the target porosity is one of organic porosity, inorganic porosity, and fractures. The reservoir space includes organic porosity, inorganic porosity, and fractures.

[0033] Specifically, the target proportion of target pores in the storage space of the test sample is obtained, including: obtaining the target proportion of organic pores in the storage space of the test sample; obtaining the target proportion of inorganic pores in the storage space of the test sample; and obtaining the target proportion of cracks in the storage space of the test sample.

[0034] In this embodiment, since all the target pores are the storage space, the sum of the target proportions of the target pores to the storage space is 100%. Furthermore, the ratio of the area of ​​the target pores to the area of ​​the storage space can be used as the target proportion.

[0035] In this embodiment of the application, rock samples can be obtained by drilling or outcropping, and test samples (thin section samples and block samples) can be prepared by selecting mudstone or shale reservoir sections; based on the test samples, the analytical testing method is determined, and the target proportion of target porosity in the reservoir space is measured.

[0036] S120, in the triangular diagram, determine the target region corresponding to the target proportion of the target porosity; different regions in the triangular diagram correspond to different proportions of the target porosity, and different regions correspond to different reservoir types.

[0037] In this embodiment of the application, the reservoir type can be pre-classified according to the proportion of target pores in the reservoir space, that is, the reservoir is quantitatively classified to obtain the correspondence between the proportion of target space and reservoir type, and it is reflected in the triangular diagram.

[0038] Specifically, the pre-determined correspondence between the target space proportion and reservoir type can be achieved by matching different reservoir types with different target space proportion ranges. For example, an organic-inorganic porous reservoir might have a higher proportion of inorganic porosity and a lower proportion of organic porosity. This is done by dividing the triangular plot into multiple regions, each corresponding to a reservoir type. Further, after obtaining the target proportion, the corresponding target region in the triangular plot is determined.

[0039] S130, the reservoir type corresponding to the target area is determined as the reservoir type of the target formation.

[0040] Specifically, since each region corresponds to a reservoir type, after obtaining the target region, the reservoir type corresponding to the target region is determined as the reservoir type of the target formation.

[0041] The technical solution of this application includes: obtaining the target proportion of target porosity in the reservoir space of a test sample; the test sample is prepared based on a rock sample obtained from a target formation, the target formation being a mudstone or shale reservoir, and the target porosity being organic porosity, inorganic porosity, and fractures; determining the target area corresponding to the target proportion of target porosity in a triangular plot; different areas within the triangular plot corresponding to different proportions of target porosity, and different areas corresponding to different reservoir types; determining the reservoir type corresponding to the target area as the reservoir type of the target formation. This technical solution can accurately identify the reservoir type of the target formation after quantitatively classifying reservoir types, providing guidance and reference for the quantitative evaluation and exploration and development of oil and gas reservoirs.

[0042] Example 2

[0043] Figure 2This is a flowchart of a method for identifying mudstone and shale reservoir types provided in Embodiment 2 of this application. This embodiment is an optimization based on the above embodiment.

[0044] like Figure 2 As shown, the method in this embodiment of the application specifically includes the following steps:

[0045] S210, obtain the percentage of organic pore area to the area of ​​the analysis and testing region; the analysis and testing region is the area in the test sample used to identify the rock skeleton and pores.

[0046] S220 defines the target percentage of organic pores as the ratio of the percentage of the area of ​​organic pores in the analysis and testing area to the total porosity.

[0047] S230, obtain the percentage of inorganic pore area to the area of ​​the analysis and test region.

[0048] S240, the ratio of the percentage of inorganic pore area to the area of ​​the analysis and test region to the total porosity is determined as the target percentage of inorganic pores.

[0049] S250, obtain the percentage of the area of ​​the analysis and test region occupied by cracks.

[0050] S260 defines the target percentage of cracks as the ratio of the percentage of the area of ​​the analysis and test region to the total porosity.

[0051] In this embodiment of the application, the process for determining the proportion of each target is as follows: Rock samples are obtained through drilling and outcrops; test samples (thin section samples and block samples) are prepared from mudstone or shale reservoir sections; based on the test samples, the testing method, the size and area of ​​the analysis test area are determined; based on the testing method and test area, the rock skeleton and reservoir space type are determined; based on the rock skeleton and reservoir space type, the area of ​​each type of rock skeleton and reservoir space is determined; based on the area of ​​each type of rock skeleton and reservoir space, the percentage of the rock skeleton, inorganic pores, organic pores, and fractures in the analysis test area, as well as the total porosity, are determined; and then the target proportion is calculated.

[0052] Optionally, the method further includes preparing test samples based on the selected mudstone or shale reservoir section, by cutting or severing the sample perpendicular to the mudstone or shale bedding plane. The test sample can be a thin section or a block sample. The thin section is an uncovered polarized section, with the surface of the analytical testing area coated with carbon or gold; the block sample is 2cm long, 2cm wide, and 0.5cm–2cm thick, with the analytical testing area argon-ion polished and the surface coated with carbon or gold.

[0053] Optionally, the testing method, the size and area of ​​the test region are determined based on the test sample. The testing method generally involves field emission scanning electron microscopy (FET) high-resolution imaging combined with large-area image stitching analysis.

[0054] Optionally, based on the test method and test area, the rock skeleton and reservoir space type are determined. Detailed types and classifications are shown in Table 1. Reservoir spaces with an aspect ratio greater than or equal to 1 and less than 10 are classified as pores; reservoir spaces with an aspect ratio greater than or equal to 10 are classified as fractures.

[0055] Table 1

[0056]

[0057]

[0058] Optionally, the percentage of the target pore area to the area of ​​the analytical test region can be calculated using the following formula:

[0059]

[0060]

[0061]

[0062]

[0063]

[0064] Where i represents the type of rock skeleton or reservoir space; R ri R pi R si R fi S represents the percentage of the analyzed and tested area occupied by the i-th type of rock skeleton, inorganic pores, organic pores, and fractures, respectively; ri S pi S si S fi Si represents the area occupied by the i-th type of rock skeleton, inorganic pores, organic pores, and cracks within the analysis and testing area, respectively; S0 represents the total area of ​​the analysis and testing area. Total face rate; To analyze the area of ​​the storage space within the test area.

[0065] Optionally, the percentage of rock skeleton, inorganic pores, organic pores, and cracks in the area of ​​the analysis and test region can be calculated using the following formula;

[0066] R r =∑R ri ;

[0067] R p=∑R ri ;

[0068] R s =∑R ri ;

[0069] R f =∑R ri ;

[0070] Among them, R r R p R s R f These represent the percentage of the analyzed and tested area occupied by the rock skeleton, inorganic pores, organic pores, and cracks, respectively.

[0071] Optionally, the proportion of inorganic pores, organic pores, and cracks in the storage space, i.e. the proportion of target pores, can be calculated using the following formula.

[0072] (Percentage of inorganic porosity in the reservoir)

[0073] (Percentage of organic pores in the reservoir)

[0074] (Percentage of cracks in the reservoir void)

[0075] Among them, P p P s P f These represent the proportions of inorganic pores, organic pores, and cracks, respectively.

[0076] In this embodiment of the application, optionally, the process of determining the total porosity includes: obtaining the organic pore area, inorganic pore area, and crack area; determining the superposition result of the organic pore area, inorganic pore area, and crack area as the area of ​​the storage space within the analysis and test area; and determining the ratio of the area of ​​the storage space within the analysis and test area to the area of ​​the analysis and test area as the total porosity.

[0077] In this embodiment of the application, optionally, the process of determining the target percentage includes: if all of the following conditions are met, then the calculated current percentage is determined as the target percentage; otherwise, the target percentage is recalculated: the sum of the percentage of organic pore area to the area of ​​the analysis and test region, the percentage of inorganic pore area to the area of ​​the analysis and test region, and the percentage of cracks to the area of ​​the analysis and test region equals the total porosity; the sum of the current percentage of organic pores, the current percentage of inorganic pores, and the current percentage of cracks is 100%; the sum of the area of ​​organic pores, the area of ​​inorganic pores, the area of ​​cracks, and the area of ​​the rock skeleton is the area of ​​the analysis and test region.

[0078] For example, the calculated current percentage is determined to be the target percentage if all of the following conditions are met:

[0079] ∑S ri +∑S pi +∑S si +∑S fi ≡S0;

[0080]

[0081] P p +P s +P f ≡100%.

[0082] S270, in the triangular diagram, determine the target region corresponding to the target proportion of the target porosity; different regions in the triangular diagram correspond to different proportions of the target porosity, and different regions correspond to different reservoir types.

[0083] In this embodiment of the application, optionally, the three sides of the triangular pattern correspond to the proportion of organic pores, the proportion of inorganic pores, and the proportion of cracks, respectively. The triangular pattern is divided into a preset number of regions, which is 10, and each region corresponds to a different position on one of the three sides of the triangular pattern. (See reference...) Figure 3 , Figure 3 This is a schematic diagram of a triangular diagram.

[0084] In this embodiment of the application, optionally, the process of determining the triangular pattern includes steps A1-A4:

[0085] Step A1: Determine the first side of the triangular diagram located between the first vertex and the second vertex as the coordinate axis reflecting the proportion of cracks. The proportion of cracks from the first vertex to the second vertex on the first side ranges from 0 to 100%. On each side of the triangular diagram, the scale between two vertices is evenly divided.

[0086] Step A2: Determine the second side on the triangular diagram between the second and third vertices as the coordinate axis reflecting the proportion of organic pores. The proportion of organic pores on the second side from the second vertex to the third vertex ranges from 0 to 100%.

[0087] Step A3: Determine the third side on the triangular diagram, located between the third vertex and the first vertex, as the coordinate axis reflecting the proportion of inorganic pores. The proportion of inorganic pores on the third side, from the third vertex to the first vertex, ranges from 0 to 100%.

[0088] Step A4: Traverse each reservoir type, obtain the target porosity of the target reservoir type, and determine the corresponding area of ​​the target porosity in the triangular plot as the area corresponding to the current reservoir type.

[0089] For example, an equilateral triangle is selected as the triangular plot. The first side is used as the coordinate axis reflecting the proportion of fractures, and the first vertex is the origin of this coordinate axis. That is, the proportion of fractures corresponding to the first vertex is 0, and the proportion of fractures corresponding to the second vertex is 100%. Similarly, the second side is determined as the coordinate axis reflecting the proportion of organic porosity, and the third side is determined as the coordinate axis reflecting the proportion of inorganic porosity. Each reservoir type is traversed to obtain the target proportion of target porosity corresponding to the current reservoir type. In this case, the target proportion of target porosity corresponding to the current reservoir type is usually an interval. The region corresponding to this interval can be determined in the triangular plot, and this region is determined as the region corresponding to the current reservoir type. Taking the proportion of organic porosity as an example, the position corresponding to the proportion of organic porosity in the triangular plot is described: If the proportion of organic porosity is 30%, then the coordinate point of 30% is determined on the coordinate axis of the proportion of organic porosity, i.e., on the second side. Then, a line parallel to the first side is drawn through this coordinate point. The line segment of this parallel line within the triangular plot corresponds to the proportion of organic porosity of 30%.

[0090] The reservoir types include: organic porous reservoirs, inorganic-organic porous reservoirs, fracture-organic porous reservoirs, inorganic porous reservoirs, organic-inorganic porous reservoirs, fracture-inorganic porous reservoirs, fractured reservoirs, organic-fractured reservoirs, inorganic-fractured reservoirs, and composite reservoir space reservoirs.

[0091] In this embodiment of the application, optionally, determining the target region corresponding to the target proportion of the target porosity in the triangular diagram includes: determining a first coordinate point corresponding to the target proportion of cracks on the coordinate axis of the proportion of cracks in the triangular diagram; determining a second coordinate point corresponding to the target proportion of organic pores on the coordinate axis of the proportion of organic pores in the triangular diagram; determining a third coordinate point corresponding to the target proportion of inorganic pores on the coordinate axis of the proportion of inorganic pores in the triangular diagram; drawing a first parallel line through the first coordinate point parallel to the third side; drawing a second parallel line through the second coordinate point parallel to the first side; drawing a third parallel line through the third coordinate point parallel to the second side; and determining the region where the intersection of the first parallel line, the second parallel line, and the third parallel line is located as the target region.

[0092] For example, refer to Figure 4 , Figure 4 This is a schematic diagram for defining a target area. Figure 4 In the process, after determining three coordinate points, parallel lines are drawn to the three coordinate points based on the edges where the origins of the three coordinates are located. The area where the intersection of the three parallel lines is located is the fourth area, which is used as the target area.

[0093] S280, determine the reservoir type corresponding to the target area as the reservoir type of the target formation.

[0094] This application embodiment achieves reservoir type classification by pre-determining a triangular diagram and reservoir identification based on the triangular diagram, providing guidance and reference for the quantitative evaluation of mudstone and shale reservoirs and the exploration and development of shale oil and gas; on the other hand, it also provides a foundation for the research and analysis of mudstone and shale reservoirs to develop towards big data and artificial intelligence.

[0095] Example 3

[0096] Figure 5 This is a schematic diagram of a device for identifying mudstone and shale reservoir types according to Embodiment 3 of this application. This device can execute the mudstone and shale reservoir type identification method provided in any embodiment of this invention, and possesses the corresponding functional modules and beneficial effects of the method. Figure 5 As shown, the device includes:

[0097] The target proportion acquisition module 310 is used to acquire the target proportion of target porosity in the storage space of the test sample; the test sample is made based on a rock sample, which is obtained from a target stratum, the target stratum being a mudstone or shale reservoir, and the target porosity being organic porosity, inorganic porosity, and fractures;

[0098] The target region determination module 320 is used to determine the target region corresponding to the target proportion of the target porosity in the triangular diagram; different regions in the triangular diagram correspond to different proportions of target porosity, and different regions correspond to different reservoir types.

[0099] The reservoir type determination module 330 is used to determine the reservoir type corresponding to the target area as the reservoir type of the target formation.

[0100] The technical solution of this application embodiment includes: a target proportion acquisition module 310, used to acquire the target proportion of target porosity in the reservoir space of a test sample; the test sample is prepared based on a rock sample, which is obtained from a target formation, the target formation being a mudstone or shale reservoir, and the target porosity being organic porosity, inorganic porosity, and fractures; a target area determination module 320, used to determine the target area corresponding to the target proportion of target porosity in a triangular plot; different areas within the triangular plot correspond to different proportions of target porosity, and different areas correspond to different reservoir types; and a reservoir type determination module 330, used to determine the reservoir type corresponding to the target area as the reservoir type of the target formation. This technical solution can accurately identify the reservoir type of the target formation after quantitatively classifying the reservoir types, providing guidance and reference for the quantitative evaluation and exploration and development of oil and gas reservoirs.

[0101] Optionally, the three sides of the triangular pattern correspond to the proportion of organic pores, the proportion of inorganic pores, and the proportion of cracks, respectively. The triangular pattern is divided into a preset number of regions, each region corresponding to a different position on the three sides of the triangular pattern.

[0102] Optionally, the device further includes: a triangular pattern determination module, comprising:

[0103] The first coordinate axis determination unit is used to determine the first side on the triangular diagram between the first vertex and the second vertex as the coordinate axis reflecting the proportion of cracks. The proportion of cracks from the first vertex to the second vertex on the first side ranges from 0 to 100%. On each side of the triangular diagram, the scale between two vertices is evenly divided.

[0104] The second coordinate axis determination unit is used to determine the second side on the triangular diagram between the second vertex and the third vertex as the coordinate axis reflecting the proportion of organic pores. The proportion of organic pores from the second vertex to the third vertex on the second side ranges from 0 to 100%.

[0105] The third coordinate axis determination unit is used to determine the third side on the triangular diagram between the third vertex and the first vertex as the coordinate axis reflecting the proportion of inorganic pores. The proportion of inorganic pores from the third vertex to the first vertex on the third side ranges from 0 to 100%.

[0106] The region division unit is used to traverse each reservoir type, obtain the target proportion of target porosity corresponding to the current reservoir type, and determine the corresponding region of the target proportion in the triangular chart as the region corresponding to the current reservoir type.

[0107] The reservoir types include: organic porous reservoirs, inorganic-organic porous reservoirs, fracture-organic porous reservoirs, inorganic porous reservoirs, organic-inorganic porous reservoirs, fracture-inorganic porous reservoirs, fractured reservoirs, organic-fractured reservoirs, inorganic-fractured reservoirs, and composite reservoir space reservoirs.

[0108] Optionally, the target area determination module 320 includes:

[0109] The first coordinate point determination unit is used to determine the first coordinate point corresponding to the target proportion of the crack on the coordinate axis of the crack proportion in the triangular diagram.

[0110] The second coordinate point determination unit is used to determine the second coordinate point corresponding to the target proportion of organic pores on the coordinate axis of the proportion of organic pores in the triangular diagram.

[0111] The third coordinate point determination unit is used to determine the third coordinate point corresponding to the target proportion of inorganic pores on the coordinate axis of the proportion of inorganic pores in the triangular diagram.

[0112] The first parallel line determination unit is used to draw the first parallel line parallel to the third side through the first coordinate point;

[0113] The second parallel line determination unit is used to draw a second parallel line parallel to the first side through the second coordinate point;

[0114] The third parallel line determination unit is used to draw a third parallel line parallel to the second side through the third coordinate point;

[0115] The target area determination unit is used to determine the area where the intersection of the first parallel line, the second parallel line, and the third parallel line is located as the target area.

[0116] Optionally, the device further includes: a target proportion determination module for organic pores, specifically used for:

[0117] Obtain the percentage of organic pore area to the area of ​​the analytical test region; the analytical test region is the area in the test sample used to identify the rock skeleton and pores;

[0118] The ratio of the percentage of organic pore area to the area of ​​the analysis and test region to the total porosity is determined as the target percentage of organic pores.

[0119] The module for determining the target proportion of inorganic porosity is specifically used for:

[0120] Obtain the percentage of inorganic pore area to the area of ​​the analysis and test region;

[0121] The ratio of the percentage of inorganic pore area to the area of ​​the analysis and test region to the total porosity is determined as the target percentage of inorganic pores.

[0122] The target area of ​​the crack is determined by the module, specifically used for:

[0123] Obtain the percentage of the area covered by the cracks in the analysis and testing area;

[0124] The target percentage of cracks is determined by the ratio of the percentage of the area of ​​the analysis and test region to the total porosity.

[0125] Optionally, the device further includes: a total face rate determination module, comprising:

[0126] An area acquisition unit is used to acquire the area of ​​organic pores, the area of ​​inorganic pores, and the area of ​​cracks.

[0127] The storage space area determination unit is used to determine the area of ​​the storage space within the analysis and testing area by superimposing the organic pore area, inorganic pore area, and crack area.

[0128] The total porosity determination unit is used to determine the total porosity by the ratio of the area of ​​the storage space within the analysis and test area to the area of ​​the analysis and test area.

[0129] Optionally, the device further includes a target percentage determination module, specifically used for:

[0130] If all of the following conditions are met, the calculated current percentage is determined to be the target percentage; otherwise, the target percentage is recalculated:

[0131] The sum of the percentage of organic pore area in the analytical test area, the percentage of inorganic pore area in the analytical test area, and the percentage of cracks in the analytical test area equals the total porosity.

[0132] The sum of the current percentage of organic pores, the current percentage of inorganic pores, and the current percentage of cracks is 100%.

[0133] The sum of the organic pore area, inorganic pore area, fracture area, and rock skeleton area constitutes the area of ​​the analysis and testing region.

[0134] The mudstone and shale reservoir type identification device provided in this application embodiment can execute the mudstone and shale reservoir type identification method provided in any embodiment of the present invention, and has the corresponding functional modules and beneficial effects of the method execution.

[0135] Example 4

[0136] Figure 6 A schematic diagram of an electronic device 10 that can be used to implement embodiments of the present invention is shown. The electronic device is intended to represent various forms of digital computers, such as laptop computers, desktop computers, workstations, personal digital assistants, servers, blade servers, mainframe computers, and other suitable computers. The electronic device can also represent various forms of mobile devices, such as personal digital processors, cellular phones, smartphones, wearable devices (e.g., helmets, glasses, watches, etc.), and other similar computing devices. The components shown herein, their connections and relationships, and their functions are merely illustrative and are not intended to limit the implementation of the invention described and / or claimed herein.

[0137] like Figure 6As shown, the electronic device 10 includes at least one processor 11 and a memory, such as a read-only memory (ROM) 12 or a random access memory (RAM) 13, communicatively connected to the at least one processor 11. The memory stores computer programs executable by the at least one processor. The processor 11 can perform various appropriate actions and processes based on the computer program stored in the ROM 12 or loaded from storage unit 18 into the RAM 13. The RAM 13 may also store various programs and data required for the operation of the electronic device 10. The processor 11, ROM 12, and RAM 13 are interconnected via a bus 14. An input / output (I / O) interface 15 is also connected to the bus 14.

[0138] Multiple components in electronic device 10 are connected to I / O interface 15, including: input unit 16, such as keyboard, mouse, etc.; output unit 17, such as various types of displays, speakers, etc.; storage unit 18, such as disk, optical disk, etc.; and communication unit 19, such as network card, modem, wireless transceiver, etc. Communication unit 19 allows electronic device 10 to exchange information / data with other devices through computer networks such as the Internet and / or various telecommunications networks.

[0139] Processor 11 can be a variety of general-purpose and / or special-purpose processing components with processing and computing capabilities. Some examples of processor 11 include, but are not limited to, central processing unit (CPU), graphics processing unit (GPU), various special-purpose artificial intelligence (AI) computing chips, various processors running machine learning model algorithms, digital signal processors (DSPs), and any suitable processor, controller, microcontroller, etc. Processor 11 performs the various methods and processes described above, such as methods for identifying mudstone and shale reservoir types.

[0140] In some embodiments, the method for identifying mudstone and shale reservoir types may be implemented as a computer program tangibly contained in a computer-readable storage medium, such as storage unit 18. In some embodiments, part or all of the computer program may be loaded and / or installed on electronic device 10 via ROM 12 and / or communication unit 19. When the computer program is loaded into RAM 13 and executed by processor 11, one or more steps of the mudstone and shale reservoir type identification method described above may be performed. Alternatively, in other embodiments, processor 11 may be configured to perform the mudstone and shale reservoir type identification method by any other suitable means (e.g., by means of firmware).

[0141] Various embodiments of the systems and techniques described above herein can be implemented in digital electronic circuit systems, integrated circuit systems, field-programmable gate arrays (FPGAs), application-specific integrated circuits (ASICs), application-specific standard products (ASSPs), systems-on-a-chip (SoCs), complex programmable logic devices (CPLDs), computer hardware, firmware, software, and / or combinations thereof. These various embodiments may include implementations in one or more computer programs that can be executed and / or interpreted on a programmable system including at least one programmable processor, which may be a dedicated or general-purpose programmable processor, capable of receiving data and instructions from a storage system, at least one input device, and at least one output device, and transmitting data and instructions to the storage system, the at least one input device, and the at least one output device.

[0142] Computer programs used to implement the methods of the present invention may be written in any combination of one or more programming languages. These computer programs may be provided to a processor of a general-purpose computer, a special-purpose computer, or other programmable data processing device, such that when executed by the processor, the computer programs cause the functions / operations specified in the flowcharts and / or block diagrams to be performed. The computer programs may be executed entirely on a machine, partially on a machine, or as a standalone software package, partially on a machine and partially on a remote machine, or entirely on a remote machine or server.

[0143] In the context of this invention, a computer-readable storage medium can be a tangible medium that may contain or store a computer program for use by or in conjunction with an instruction execution system, apparatus, or device. A computer-readable storage medium may include, but is not limited to, electronic, magnetic, optical, electromagnetic, infrared, or semiconductor systems, apparatus, or devices, or any suitable combination thereof. Alternatively, a computer-readable storage medium may be a machine-readable signal medium. More specific examples of machine-readable storage media include electrical connections based on one or more wires, portable computer disks, hard disks, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), optical fibers, portable compact disk read-only memory (CD-ROM), optical storage devices, magnetic storage devices, or any suitable combination thereof.

[0144] To provide interaction with a user, the systems and techniques described herein can be implemented on an electronic device having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to the user; and a keyboard and pointing device (e.g., a mouse or trackball) through which the user provides input to the electronic device. Other types of devices can also be used to provide interaction with the user; for example, feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user can be received in any form (including sound input, voice input, or tactile input).

[0145] The systems and technologies described herein can be implemented in computing systems that include backend components (e.g., as data servers), or computing systems that include middleware components (e.g., application servers), or computing systems that include frontend components (e.g., user computers with graphical user interfaces or web browsers through which users can interact with implementations of the systems and technologies described herein), or any combination of such backend, middleware, or frontend components. The components of the system can be interconnected via digital data communication of any form or medium (e.g., communication networks). Examples of communication networks include local area networks (LANs), wide area networks (WANs), blockchain networks, and the Internet.

[0146] A computing system can include clients and servers. Clients and servers are generally located far apart and typically interact through communication networks. The client-server relationship is created by computer programs running on the respective computers and having a client-server relationship with each other. The server can be a cloud server, also known as a cloud computing server or cloud host, which is a hosting product within the cloud computing service system to address the shortcomings of traditional physical hosts and VPS services, such as high management difficulty and weak business scalability.

[0147] It should be understood that the various forms of processes shown above can be used, with steps reordered, added, or deleted. For example, the steps described in this invention can be executed in parallel, sequentially, or in different orders, as long as the desired result of the technical solution of this invention can be achieved, and this is not limited herein.

[0148] The specific embodiments described above do not constitute a limitation on the scope of protection of this invention. Those skilled in the art should understand that various modifications, combinations, sub-combinations, and substitutions can be made according to design requirements and other factors. Any modifications, equivalent substitutions, and improvements made within the spirit and principles of this invention should be included within the scope of protection of this invention.

Claims

1. A method for identifying mudstone and shale reservoir types, characterized in that, include: Obtain the target percentage of target pores in the storage space of the test sample; The test sample is prepared based on a rock sample obtained from a target formation, which is a mudstone or shale reservoir, and the target pores are organic pores, inorganic pores, and fractures. In the triangular diagram, the target region corresponding to the target proportion of the target porosity is determined; different regions within the triangular diagram correspond to different proportions of the target porosity, and different regions correspond to different reservoir types; The reservoir type corresponding to the target area is determined as the reservoir type of the target formation.

2. The method according to claim 1, characterized in that, The three sides of the triangular diagram correspond to the proportion of organic pores, the proportion of inorganic pores, and the proportion of cracks, respectively. The triangular diagram is divided into a preset number of regions, each region corresponding to a different position on the three sides of the triangular diagram.

3. The method according to claim 2, characterized in that, The process of determining the triangular diagram includes: The first side of the triangular diagram, located between the first and second vertices, is defined as the coordinate axis reflecting the proportion of cracks. The proportion of cracks from the first vertex to the second vertex on the first side ranges from 0 to 100%. On each side of the triangular diagram, the scale between two vertices is evenly divided. The second side on the triangular diagram, located between the second and third vertices, is defined as the coordinate axis reflecting the proportion of organic pores. The proportion of organic pores from the second vertex to the third vertex on the second side ranges from 0 to 100%. The third side on the triangular diagram, located between the third vertex and the first vertex, is defined as the coordinate axis reflecting the proportion of inorganic pores. The proportion of inorganic pores from the third vertex to the first vertex on the third side ranges from 0 to 100%. Traverse each reservoir type, obtain the target proportion of target porosity corresponding to the current reservoir type, and determine the corresponding area of ​​the target proportion in the triangular chart as the area corresponding to the current reservoir type; The reservoir types include: organic porous reservoirs, inorganic-organic porous reservoirs, fracture-organic porous reservoirs, inorganic porous reservoirs, organic-inorganic porous reservoirs, fracture-inorganic porous reservoirs, fractured reservoirs, organic-fractured reservoirs, inorganic-fractured reservoirs, and composite reservoir space reservoirs.

4. The method according to claim 3, characterized in that, In the triangular diagram, the target region corresponding to the target proportion of the target porosity is determined, including: On the coordinate axis of the crack proportion in the triangular diagram, determine the first coordinate point corresponding to the target proportion of the crack; On the coordinate axis of the proportion of organic pores in the triangular diagram, determine the second coordinate point corresponding to the target proportion of organic pores; On the coordinate axis of inorganic porosity in the triangular diagram, determine the third coordinate point corresponding to the target proportion of inorganic porosity; Draw a first parallel line through the first coordinate point, parallel to the third side; Draw a second parallel line through the second coordinate point, parallel to the first side; Draw a third parallel line through the third coordinate point, parallel to the second side; The area where the first, second, and third parallel lines intersect is defined as the target area.

5. The method according to claim 1, characterized in that, The process of determining the target proportion of organic pores includes: Obtain the percentage of organic pore area to the area of ​​the analytical test region; the analytical test region is the area in the test sample used to identify the rock skeleton and pores; The ratio of the percentage of organic pore area to the area of ​​the analysis and test region to the total porosity is determined as the target percentage of organic pores. The process of determining the target proportion of inorganic porosity includes: Obtain the percentage of inorganic pore area to the area of ​​the analysis and test region; The ratio of the percentage of inorganic pore area to the area of ​​the analysis and test region to the total porosity is determined as the target percentage of inorganic pores. The process of determining the target area of ​​the crack includes: Obtain the percentage of the area covered by the cracks in the analysis and testing area; The target percentage of cracks is determined by the ratio of the percentage of the area of ​​the analysis and test region to the total porosity.

6. The method according to claim 5, characterized in that, The process of determining the total face rate includes: Obtain the organic pore area, inorganic pore area, and crack area; The sum of the organic pore area, inorganic pore area, and crack area is used to determine the area of ​​the storage space within the analysis and testing area. The ratio of the area of ​​the storage space within the analysis and testing area to the area of ​​the analysis and testing area is determined as the total surface area ratio.

7. The method according to claim 1, characterized in that, The process of determining the target percentage includes: If all of the following conditions are met, the calculated current percentage is determined to be the target percentage; otherwise, the target percentage is recalculated: The sum of the percentage of organic pore area in the analytical test area, the percentage of inorganic pore area in the analytical test area, and the percentage of cracks in the analytical test area equals the total porosity. The sum of the current percentage of organic pores, the current percentage of inorganic pores, and the current percentage of cracks is 100%. The sum of the organic pore area, inorganic pore area, fracture area, and rock skeleton area constitutes the area of ​​the analysis and testing region.

8. A device for identifying mudstone and shale reservoir types, characterized in that, include: The target percentage acquisition module is used to acquire the target percentage of target pores in the storage space of the test sample; The test sample is prepared based on a rock sample obtained from a target formation, which is a mudstone or shale reservoir, and the target pores are organic pores, inorganic pores, and fractures. The target region determination module is used to determine the target region corresponding to the target proportion of the target porosity in the triangular diagram; different regions in the triangular diagram correspond to different proportions of target porosity, and different regions correspond to different reservoir types. The reservoir type determination module is used to determine the reservoir type corresponding to the target area as the reservoir type of the target formation.

9. An electronic device, characterized in that, The electronic device includes: At least one processor; and A memory communicatively connected to the at least one processor; wherein, The memory stores a computer program executable by the at least one processor, which enables the at least one processor to perform the method for identifying mudstone and shale reservoir types according to any one of claims 1-7.

10. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores computer instructions that, when executed by a processor, implement the method for identifying mudstone and shale reservoir types as described in any one of claims 1-7.

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