Coal rock dessert segment determination method and device, electronic equipment and storage medium

Abstract

This invention discloses a method, apparatus, electronic device, and storage medium for determining sweet spots in coal formations. The method involves acquiring the target well's logging curves for the target formation under at least one detection parameter; determining the logging reference parameters for each detection parameter based on the coal sampling information and the logging curves for the target formation; identifying at least one coal formation when the logging reference parameters and the logging curve parameters to be used in the logging curves meet a first preset condition; determining the organic carbon content information of the coal formation for each coal formation based on the organic carbon content determination function, the logging reference parameters, and the logging curve parameters to be used; and identifying sweet spots in coal formations based on the organic carbon content information of at least one coal formation. This method ensures the accuracy of identifying sweet spots in the target formation, provides guidance for the exploration and development of the target formation, and helps improve exploration efficiency and benefits.

Description

Technical Field

[0001] This invention relates to the field of data processing technology, and in particular to a method, apparatus, electronic device, and storage medium for determining sweet spots in coal and rock. Background Technology

[0002] Coalbed methane (CBM) is a natural gas resource situated between conventional gas and coalbed methane. The concept of deep coalbed methane is based on the significant differences between deep coalbed methane reservoirs and traditional CBM reservoirs in terms of burial depth (CBM burial depth <1500m; coalbed methane burial depth >1500m), natural gas genesis, occurrence and enrichment mechanisms, distribution patterns, and gas extraction technologies. For coalbed methane, the exploration cost of deep coalbed methane is much higher than that of shallow coalbed methane. Therefore, to improve the efficiency of coalbed methane exploration and save exploration costs, the corresponding sweet spot zone can be identified. It should be noted that the sweet spot zone is the gas-rich section within the coal seam.

[0003] Currently, most methods focus on determining the sweet spot of shale gas, without addressing methods for determining the sweet spot of coal gas. However, since shale and coal are two completely different lithologies, the methods used to determine the sweet spot of shale gas cannot be applied to determine the sweet spot of deep coal gas. Based on this, existing technologies lack a method for determining the sweet spot of deep coal gas, failing to provide guidance for deep coal gas exploration, thus resulting in high exploration costs and low exploration efficiency. Summary of the Invention

[0004] This invention provides a method, apparatus, electronic device, and storage medium for determining sweet spots in coal and rock formations. It accurately identifies sweet spots in target formations, providing guidance for the exploration and development of these formations and improving exploration efficiency and benefits.

[0005] According to one aspect of the present invention, a method for determining sweet spots in coal is provided, the method comprising:

[0006] The process involves obtaining the target well's target layer under at least one detection parameter to be processed logging curves. The target layer is a layer within a preset depth range of the target well where the coal and rock maturity is lower than a preset maturity threshold. The logging curves under at least one detection parameter include at least one of spontaneous potential logging curves, natural gamma logging curves, and sonic transit time logging curves.

[0007] Based on the coal and rock sampling information of the target well in the target layer and the logging curves to be processed under each detection parameter, the logging reference parameters corresponding to the logging curves to be processed under each detection parameter are determined.

[0008] When the well logging reference parameters and the well logging curve parameters to be used in the well logging curves to be processed corresponding to the well logging reference parameters meet the first preset condition, at least one coal and rock layer depth range information and at least one coal and rock layer segment corresponding to at least one coal and rock layer depth range information are determined.

[0009] For at least one coal-rock stratum, the organic carbon content information of the coal-rock stratum is determined based on the organic carbon content determination function of the coal-rock stratum, the logging reference parameters, and the logging curve parameters to be used.

[0010] Based on the organic carbon content information of at least one coal and rock stratum, the sweet spot of the coal and rock is determined;

[0011] Among them, the sweet spot of coal and rock is the coal and rock stratum whose organic carbon content information meets the second preset condition.

[0012] According to another aspect of the present invention, a coal sweet spot determination apparatus is provided, the apparatus comprising:

[0013] The logging curve acquisition module is used to acquire the logging curve to be processed for the target segment of the target well under at least one detection parameter. The target segment is the segment within the preset depth range of the target well and the coal and rock maturity is lower than the preset maturity threshold. The logging curve to be processed under at least one detection parameter includes at least one of spontaneous potential logging curve, natural gamma logging curve and sonic transit time logging curve.

[0014] The benchmark parameter determination module is used to determine the logging benchmark parameters corresponding to the logging curve to be processed under each detection parameter, based on the coal and rock sampling information of the target well in the target layer and the logging curve to be processed under each detection parameter.

[0015] The coal and rock strata determination module is used to determine at least one coal and rock strata depth range information and at least one coal and rock strata segment corresponding to at least one coal and rock strata depth range information when the well logging reference parameters and the well logging curve parameters to be used in the well logging curves to be processed corresponding to the well logging reference parameters meet the first preset condition.

[0016] The organic carbon content determination module is used to determine the organic carbon content information of at least one coal and rock formation based on the organic carbon content determination function of the coal and rock formation, the logging reference parameters, and the logging curve parameters to be used.

[0017] The coal sweet spot segment determination module is used to determine the coal sweet spot segment based on the organic carbon content information of at least one coal and rock stratum.

[0018] Among them, the sweet spot of coal and rock is the coal and rock stratum whose organic carbon content information meets the second preset condition.

[0019] According to another aspect of the present invention, an electronic device is provided, the electronic device comprising:

[0020] At least one processor; and

[0021] A memory that is communicatively connected to at least one processor; wherein,

[0022] The memory stores a computer program that can be executed by at least one processor, such that the at least one processor is able to perform the coal sweet spot determination method according to any embodiment of the present invention.

[0023] 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 determining the sweet spot of coal and rock according to any embodiment of the present invention.

[0024] According to another aspect of the present invention, a computer program product is provided, comprising a computer program, characterized in that, when executed by a processor, the computer program implements a method for determining coal sweet spot segments as described in any embodiment of the present invention.

[0025] The technical solution of this invention provides data support for subsequently determining the coal and rock segments of the target well by acquiring the unprocessed logging curves of the target segment under at least one detection parameter. Based on the coal and rock sampling information corresponding to the target segment and the unprocessed logging curves under each detection parameter, logging reference parameters corresponding to the unprocessed logging curves under each detection parameter are determined. When the logging reference parameters and the unused logging curve parameters in the unprocessed logging curves corresponding to the logging reference parameters meet a first preset condition, at least one coal and rock depth range information is determined, and at least one coal and rock segment corresponding to the coal and rock depth range information is determined. Based on this, at least one coal and rock segment under the target segment and its corresponding coal and rock depth range information are accurately obtained, facilitating the subsequent determination of sweet coal segments from at least one coal and rock segment. For at least one coal and rock segment, the organic carbon content information of the coal and rock segment is determined based on the organic carbon content determination function of the coal and rock segment, the logging reference parameters, and the unused logging curve parameters. Based on the organic carbon content information of at least one coal and rock segment, the coal and rock segment whose organic carbon content information meets a second preset condition is designated as a sweet coal segment. This invention solves the problem of high exploration costs and low exploration efficiency of deep coal and shale gas due to the lack of a method for determining the sweet spot of deep coal and shale gas in the prior art. This invention accurately determines the sweet spot of coal and shale gas in the target stratum, provides guidance for the exploration and development of the target stratum, and helps to improve exploration efficiency and benefits.

[0026] 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

[0027] To more clearly illustrate the technical solutions in the embodiments of the present invention, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the accompanying 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.

[0028] Figure 1 This is a flowchart of a method for determining the sweet spot segment of coal provided in an embodiment of the present invention;

[0029] Figure 2 This is an example diagram illustrating information on determining the sweet spot of coal and rock in a target well, provided in an embodiment of the present invention.

[0030] Figure 3 These are explanatory diagrams illustrating the lithology of each stratum provided in the embodiments of the present invention;

[0031] Figure 4 This is a flowchart of a method for determining the sweet spot segment of coal provided in an embodiment of the present invention;

[0032] Figure 5 This is an example diagram illustrating information for determining the sweet spot of coal and rock in Well 702, provided in an embodiment of the present invention.

[0033] Figure 6 This is an example diagram showing the organic carbon content information corresponding to well 702 provided in this embodiment of the invention;

[0034] Figure 7 This is a schematic diagram of the structure of a coal sweet spot determination device provided in an embodiment of the present invention;

[0035] Figure 8 This is a schematic diagram of the structure of an electronic device that implements the method for determining the sweet spot of coal in an embodiment of the present invention. Detailed Implementation

[0036] To enable those skilled in the art to better understand the present invention, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings of the embodiments of the present invention. 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.

[0037] It should be noted that the terms "first," "second," etc., 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 the 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.

[0038] Example 1

[0039] Figure 1 This is a flowchart of a method for determining sweet coal sections according to Embodiment 1 of the present invention. This embodiment is applicable to determining sweet coal sections within a target layer. The target layer is a layer within a preset depth range in the target well where the coal maturity is below a preset maturity threshold. Optionally, the target layer can be a deep, low- to medium-rank coal-gas layer. In this case, the present invention can be used to determine sweet coal sections within a deep, low- to medium-rank coal-gas layer. This method can be executed by a sweet coal section determining device, which can be implemented in hardware and / or software and can be configured in electronic devices such as mobile phones, computers, or servers. Figure 1 As shown, the method includes:

[0040] S110. Obtain the logging curves to be processed for the target layer of the target well under at least one detection parameter.

[0041] The target segment is the segment within the preset depth range of the target well where the coal and rock maturity is lower than the preset maturity threshold. The logging curve to be processed under at least one detection parameter includes at least one of spontaneous potential logging curve, natural gamma logging curve and sonic transit time logging curve.

[0042] In practical applications, multiple wells are typically used for exploration and development in a specific area. In this embodiment of the invention, the method for determining the target coal-rock sweet spot for each well is similar; therefore, the current well can be used as the target well. The target layer can be a layer within a preset depth range below the target well, where the coal-rock maturity is below a preset maturity threshold. The preset depth range can be a depth range set according to actual needs. Coal-rock maturity can be understood as the degree to which the physical and chemical properties of the coal in the target layer have changed during geological history due to factors such as temperature, pressure, and time. The coal-rock maturity of the target layer can be determined by the vitrinite reflectance of the coal in the target layer. Generally, the higher the vitrinite reflectance, the higher the coal-rock maturity. The preset coal-rock maturity threshold can be a standard value for coal-rock maturity set according to actual needs. Optionally, the target layer can be a deep, low-to-medium-rank coal-rock gas layer. The preset depth range can be from 1500 meters to positive infinity. The preset coal-rock maturity threshold can be 1.2%. This can be understood as defining the target layer as the layer below 1500 meters in depth and with a coal and rock maturity of less than 1.2%.

[0043] At least one detection parameter can be used to detect the target well. Different detection parameters result in different logging curves to be processed. The logging curves to be processed under at least one detection parameter include at least one of spontaneous potential (SP) logging curves, natural gamma ray (GR) logging curves, and acoustic time-delay (AC) logging curves. Specifically, the spontaneous potential (SP) logging curve characterizes the difference in electrochemical properties between the rock and mud at each depth value in the target formation. The natural gamma ray (GR) logging curve characterizes the intensity of natural gamma rays from radioactive elements in the rock at each depth value in the target formation. The acoustic time-delay (AC) logging curve reflects the density and porosity of the target formation by the propagation speed of acoustic waves within the target formation.

[0044] Specifically, based on the coal and rock maturity corresponding to the preset depth range of the target well, the layers with coal and rock maturity below the preset maturity threshold are designated as target layers. The target layer's logging curves are obtained under at least one detection parameter, resulting in at least one of the following: spontaneous potential logging curve, natural gamma logging curve, and sonic transit time logging curve.

[0045] For example, this is illustrated using a deep, low- to middle-rank coal-gas stratum as the target layer. See [link to documentation]. Figure 2 and Figure 3 , Figure 2 Example diagram to identify the sweet spot of coal and rock in the target well. Figure 3 for Figure 2 Explanatory diagrams of the lithology of each stratum in the middle, Figure 2 In this study, the target formation is the wellbore depth from 3873 meters to 3895 meters. The goal is to obtain the corresponding logging curves for this target formation, including spontaneous potential logging curves, natural gamma ray logging curves, and sonic transit time logging curves. The natural gamma ray curve is... Figure 2 The green curve in column 1 is the spontaneous potential logging curve. Figure 2 The purple curve in column 1 is the sonic transit time logging curve. Figure 2 The blue curve in column 2.

[0046] In this embodiment of the invention, before obtaining the logging curve of the target segment of the target well under at least one detection parameter, the target segment of the target well can be determined first. Specifically, this can be done by: obtaining coal and rock samples corresponding to at least one depth value within a preset depth range of the target well, and performing vitrinite reflectance detection on each coal and rock sample to obtain a detection result corresponding to each sample; determining the coal and rock maturity corresponding to the detection result, and when the coal and rock maturity is lower than a preset maturity threshold, using the depth value corresponding to the coal and rock maturity as the depth value of the target segment.

[0047] The coal and rock sample can be a coal and rock sample corresponding to at least one depth value collected from a preset depth range. Vitrin reflectance detection can be performed by measuring the vitrin reflectance of the coal and rock sample using a specific instrument; the detection result is the vitrin reflectance of the coal and rock sample.

[0048] Specifically, coal and rock samples corresponding to at least one depth value within a preset depth range are obtained from the target well. Vitrin reflectance is measured for each coal and rock sample at each depth value to obtain the vitrin reflectance of each sample, i.e., the test result. Based on the test results, the coal and rock maturity corresponding to each depth value is determined. If the coal and rock maturity at a certain depth value is lower than a preset maturity threshold, then that depth value is designated as the depth value of the target layer. Based on this, the target layer is determined.

[0049] S120. Based on the coal and rock sampling information of the target well in the target layer and the logging curves to be processed under each detection parameter, determine the logging reference parameters corresponding to the logging curves to be processed under each detection parameter.

[0050] The coal and rock sampling information may include sample information of coal and rock samples collected from the target formation and the corresponding depth information. Optionally, the coal and rock sampling information can be obtained from the core information of the target well in the target formation. The contact depth information between the coal and rock layers below the target formation and other lithological layers can be determined using the coal and rock sampling information. The logging reference parameters can be determined based on the contact depth information and the logging curves to be processed. For different logging curves to be processed, their corresponding logging reference parameters are determined separately.

[0051] Specifically, based on the coal and rock sampling information corresponding to the target well in the target stratum, the depth information of the contact surface between the coal and rock strata and other lithological strata in the target stratum is determined. For at least one logging curve to be processed, based on the depth information of the contact surface, logging curve parameters corresponding to the depth information of the contact surface are determined from the current logging curve to be processed, so as to determine the logging reference parameters of the current logging curve to be processed based on at least one logging curve parameter.

[0052] In this embodiment of the invention, the method for determining the logging reference parameters corresponding to the logging curve to be processed under each detection parameter may be as follows: obtaining coal and rock sampling information corresponding to the target well in the target segment, and determining the depth information of at least one contact surface based on the coal and rock sampling information, wherein the contact surface is the contact surface between the coal and rock segment to be corrected and other lithological segments other than the coal and rock segment to be corrected; determining the depth range information of at least one coal and rock segment to be corrected based on the depth information of at least one contact surface, and taking the contact surface between the top or bottom of the coal and rock segment to be corrected with other lithological segments in the maximum depth range as the target contact surface; for the logging curve to be processed under at least one detection parameter, determining the logging curve parameters corresponding to the depth information of the target contact surface in the logging curve to be processed under each detection parameter, and taking the logging curve parameters to be processed as the logging reference parameters.

[0053] The coal-rock segment to be corrected can be the segment corresponding to the coal-rock layer below the target segment, determined based on coal-rock sampling information. Other lithological segments can be segments corresponding to other lithological layers below the target segment besides the coal-rock layer. For example, other lithologies could be mudstone, sandstone, or limestone. Since the target segment may contain multiple coal-rock segments to be corrected, as well as multiple other lithological segments, there may be at least one contact surface. The depth range information of at least one coal-rock segment to be corrected can be determined based on the depth information of the contact surface between the coal-rock segment to be corrected and other lithological segments. The coal-rock segment with the largest depth range can be understood as the coal-rock segment with the largest thickness. The target contact surface can be a contact surface determined from at least one contact surface. The logging curve parameters to be processed can be the curve parameters corresponding to the depth information of the target contact surface in the logging curve to be processed.

[0054] Specifically, coal and rock sampling information corresponding to the target well in the target formation is obtained. Based on this information, the depth information of at least one contact surface between the coal and rock formation to be corrected and other lithological formations is determined. Based on the depth information of at least one contact surface, the depth range of each coal and rock formation to be corrected is determined. The contact surface between the top or bottom of the coal and rock formation with the maximum depth range and other lithological formations is taken as the target contact surface. Based on the depth information of the target contact surface and the logging curves to be processed under at least one detection parameter, the logging reference parameters corresponding to each logging curve to be processed are obtained. Since the determination method for the logging reference parameters of each logging curve to be processed is similar, this example uses a depth-corrected natural gamma logging curve as an example. The gamma logging curve parameters corresponding to the depth information of the target contact surface in the natural gamma logging curve are taken as the logging reference parameters of the natural gamma logging curve.

[0055] For example, see the examples above. Figure 2 and Figure 3 Based on the core data of the target well in the target stratum, coal and rock sampling information is determined, and then the logging lithology information of the target stratum is determined based on this information. Specifically, based on the coal and rock sampling information, the depth information corresponding to at least one contact surface between the coal and rock stratum to be corrected and other lithological strata is determined. These other lithological strata can be mudstone, sandstone, calcareous mudstone, silty mudstone, or silty mudstone, etc. Based on the depth information of at least one contact surface, the depth range information of at least one coal and rock stratum to be corrected is determined. Figure 2 The depth ranges of the coal-rock strata to be corrected are approximately 3874.5 meters to 3879.5 meters and 3880 meters to 3881 meters. The contact surface between the top or bottom of the coal-rock strata to be corrected (depth range approximately 3874.5 meters to 3879.5 meters) and other lithological strata is designated as the target contact surface. If the logging curve to be processed is a depth-corrected spontaneous potential (SP) logging curve, the SP parameters corresponding to the depth information of the target contact surface are determined from the SP logging curve, and these SP parameters are used as the logging reference parameters for the SP logging curve. If the logging curve to be processed is a depth-corrected natural gamma ray logging curve, the gamma ray logging parameters corresponding to the depth information of the target contact surface are determined from the natural gamma ray logging curve, and these gamma ray logging parameters are used as the logging reference parameters for the natural gamma ray logging curve. When the logging curve to be processed is an acoustic time-of-flight logging curve, the time-of-flight logging curve parameter corresponding to the depth information of the target contact surface is determined in the acoustic time-of-flight logging curve, and this time-of-flight logging curve parameter is used as the logging reference parameter of the acoustic time-of-flight logging curve.

[0056] It should be noted that well logging baseline parameters are easily affected by various factors, including the instrument model used to determine the logging curve, temperature, and formation fluids. For example, logging curves obtained using different instrument models will correspond to different well logging baseline parameters. Therefore, for target wells tested in different regions or with different instrument models, the well logging baseline parameters need to be re-determined based on the newly obtained logging curves to be processed before using the new baseline parameters.

[0057] S130. When the logging reference parameters and the logging curve parameters to be used in the logging curves to be processed corresponding to the logging reference parameters meet the first preset conditions, determine at least one coal and rock layer depth range information and at least one coal and rock layer segment corresponding to at least one coal and rock layer depth range information.

[0058] The logging curve parameters to be used may include at least one of the following: gamma logging curve parameters of natural gamma logging, potential logging curve parameters of spontaneous potential logging, and time-of-flight logging curve parameters of sonic transit-time logging. The first preset condition can be a pre-defined condition that must be met between the logging curve parameters to be used corresponding to the coal and rock formation and the logging reference parameters. The coal and rock formation depth range information can be the depth range information of the coal and rock formation to be corrected, which satisfies the first preset condition. The formation corresponding to the coal and rock formation depth range information is the coal and rock formation.

[0059] Specifically, the logging curves to be processed are adjusted according to the logging reference parameters corresponding to each curve to be processed, resulting in logging curves to be used. For the same depth value in the target segment, the logging curve parameters corresponding to the current depth value in the logging curves to be used are determined. If the logging curve parameters to be used and the logging reference parameters meet a first preset condition, the current depth value is determined to be a depth value within the coal and rock layer depth range information. Based on the above, at least one coal and rock layer depth range information is determined. The segment corresponding to each coal and rock layer depth range information is taken as a coal and rock layer segment to obtain at least one coal and rock layer segment.

[0060] For example, in conjunction with the above example, the first preset condition is (SP) 对标 -Gr)>0 and (AC-AC) 基线值 The example is given as )>0. Here, SP represents the potential logging curve parameter, SP 对标 This refers to the adjusted logging parameters obtained by adjusting the potential logging parameters according to the parameter range of the gamma logging parameters. AC represents the time difference logging parameters. 基线值This represents the logging reference parameters for the sonic transit time logging curve. Based on the above, if the logging reference parameters and the parameters of the logging curve to be used in the corresponding logging curve to be processed satisfy the first preset condition, it can be represented as follows: Figure 2 In columns 1 and 2, the gray and orange portions to the left of the curves are used as the depth values ​​corresponding to both the gray and orange portions. This determines at least one coal and rock stratum segment corresponding to the coal and rock stratum depth range information. Figure 2 The coal and rock strata in the lithology column identified by this method are shown in the image. The accurate determination of the development location of the target downhole coal and rock strata using the above method provides a locational basis for the exploration of deep coal and rock gas.

[0061] S140. For at least one coal-rock stratum, determine the organic carbon content information of the coal-rock stratum based on the organic carbon content determination function of the coal-rock stratum, the logging reference parameters, and the logging curve parameters to be used.

[0062] The organic carbon content determination function can be used to determine the organic carbon content information corresponding to each depth value in a coal-rock stratum. For each depth value corresponding to a coal-rock stratum, there is a corresponding organic carbon content information. This organic carbon content information can be understood as the organic carbon content corresponding to each depth value in the coal-rock stratum.

[0063] Specifically, for at least one coal and rock formation, the well logging baseline parameters and the parameters of the well logging curves corresponding to each depth value of the coal and rock formation are substituted into the organic carbon content determination function of the coal and rock formation to obtain the organic carbon content information corresponding to each depth value in the coal and rock formation. For example, the obtained organic carbon content information can be as follows: Figure 2 The dessert identification column is shown below.

[0064] S150. Based on the organic carbon content information of at least one coal and rock stratum, determine the sweet spot of the coal and rock.

[0065] Among them, the sweet spot segment of coal and rock is the coal and rock stratum whose organic carbon content information meets the second preset condition. The second preset condition can be that the organic carbon content information falls within a preset range of organic carbon content.

[0066] Specifically, based on the organic carbon content information corresponding to each depth value in each coal and rock stratum, the depth value where the organic carbon content information falls within a preset organic carbon content range is determined, and this depth value is used as the target depth value. Based on the target depth values ​​contained in each coal and rock stratum, the corresponding sweet spots are determined. Through this process, sweet spots in each coal and rock stratum that meet the second preset condition can be identified, facilitating subsequent drilling and fracturing of horizontal well sections based on these sweet spots, thereby achieving the goal of developing low- to medium-rank deep coal and rock gas.

[0067] For example, in conjunction with the above example, based on the organic carbon content information corresponding to each depth value in each coal and rock stratum, the depth values ​​where the organic carbon content information falls within a preset organic carbon content range are determined. Furthermore, based on the depth values ​​in each coal and rock stratum that meet a second preset condition, a sweet spot evaluation is performed on each coal and rock stratum to determine the coal and rock sweet spot segments, i.e., the coal and rock sweet spot segments are... Figure 2 Part I in the text.

[0068] The technical solution of this embodiment provides data support for subsequently determining the coal and rock segments of the target segment by acquiring the unprocessed logging curves of the target segment under at least one detection parameter. Based on the coal and rock sampling information corresponding to the target segment and the unprocessed logging curves under each detection parameter, the logging reference parameters corresponding to the unprocessed logging curves under each detection parameter are determined. When the logging reference parameters and the unused logging curve parameters in the unprocessed logging curves corresponding to the logging reference parameters meet a first preset condition, at least one coal and rock depth range information is determined, and at least one coal and rock segment corresponding to the coal and rock depth range information is determined. Based on this, at least one coal and rock segment under the target segment and its corresponding coal and rock depth range information are accurately obtained, facilitating the subsequent determination of sweet coal segments from at least one coal and rock segment. For at least one coal and rock segment, the organic carbon content information of the coal and rock segment is determined based on the organic carbon content determination function of the coal and rock segment, the logging reference parameters, and the unused logging curve parameters. Based on the organic carbon content information of at least one coal and rock segment, the coal and rock segment whose organic carbon content information meets the second preset condition is designated as a sweet coal segment. This invention solves the problem of high exploration costs and low exploration efficiency of deep coal and shale gas due to the lack of a method for determining the sweet spot of deep coal and shale gas in the prior art. This invention accurately determines the sweet spot of coal and shale gas in the target stratum, provides guidance for the exploration and development of the target stratum, and helps to improve exploration efficiency and benefits.

[0069] Example 2

[0070] Figure 4 This is a flowchart of a method for determining sweet spots in coal and rock according to Embodiment 2 of the present invention. This embodiment is a preferred embodiment of the above embodiments. For specific implementation details, please refer to the technical solution of this embodiment. Technical terms that are the same as or corresponding to those in the above embodiments will not be repeated here. Figure 4 As shown, the method includes:

[0071] S210. Obtain the logging curves to be processed for the target layer of the target well under at least one detection parameter.

[0072] The target segment is the segment within the preset depth range of the target well where the coal and rock maturity is lower than the preset maturity threshold. The logging curve to be processed under at least one detection parameter includes at least one of spontaneous potential logging curve, natural gamma logging curve and sonic transit time logging curve.

[0073] For example, the target well is Well 702 in Basin A. Based on the coal and rock samples collected during the drilling process of Well 702 in Basin A, thick coal seams were encountered at two locations: 5040 meters (upper coal seam) and 5120 meters (lower coal seam). According to the logging information of Well 702 in Basin A, these are determined to be 12 meters and 35 meters respectively. Therefore, the target interval can be defined as 5061.38 meters to 5066 meters below the surface of Well 702 in Basin A. The spontaneous potential logging curves, natural gamma ray logging curves, and sonic transit time logging curves corresponding to the 5061.38 meters to 5066 meters below the surface of Well 702 in Basin A are obtained.

[0074] S220. Based on the coal and rock sampling information of the target well in the target layer and the logging curves to be processed under each detection parameter, determine the logging reference parameters corresponding to the logging curves to be processed under each detection parameter.

[0075] For example, in conjunction with the above examples, see Figure 5 Based on the core samples of coal and rock from the target or other strata of Well 702 in Basin A, the logging depth is repositioned. Then, based on the lithological information from the logging curves to be processed, the depth information corresponding to the target contact surface between the coal and rock strata to be corrected and other lithological strata is read. Based on the depth information of the target contact surface, the logging reference parameters corresponding to the natural gamma ray logging curve, the spontaneous potential logging curve, and the sonic transit time logging curve are determined. Specifically, the logging reference parameter for the natural gamma ray logging curve of Well 702 in Basin A is determined to be 72.5; the logging reference parameter for the spontaneous potential logging curve of Well 702 in Basin A is determined to be 40.08; and the logging reference parameter for the sonic potential logging curve of Well 702 in Basin A is determined to be 377.4.

[0076] S230. For each logging curve to be processed under each detection parameter, determine the center symmetry value corresponding to the logging curve to be processed based on the logging reference parameters.

[0077] The central symmetry value can be the value corresponding to the abscissa of the logging reference parameter in the corresponding logging curve to be processed.

[0078] Specifically, for each type of logging curve to be processed under each detection parameter, the value corresponding to the horizontal axis of the logging reference parameter in the corresponding logging curve to be processed is taken as the central symmetry value, so that the logging curve to be processed can be adjusted based on the central symmetry value.

[0079] For example, since the method of determining the central symmetry value of the logging curve to be processed under each detection parameter is different, the logging curve to be processed is taken as a natural gamma logging curve for explanation. The reference logging parameters corresponding to the natural gamma logging curve are taken as the central symmetry value of the abscissa of the natural gamma logging curve, and the natural gamma logging curve is adjusted based on the central symmetry value.

[0080] S240. Based on the central symmetry value, adjust the logging curve to be processed to obtain the logging curve to be used, and determine at least one coal and rock stratum based on the logging curve to be used.

[0081] The logging curves to be used can be obtained by adjusting the corresponding logging curves to be processed based on the center symmetry value. The logging curve parameters to be used include: gamma logging curve parameters of natural gamma logging curves, potential logging curve parameters of spontaneous potential logging curves, and time-difference logging curve parameters of sonic transit logging curves.

[0082] Specifically, the corresponding logging curve to be processed is adjusted according to the central symmetry value to obtain the logging curve to be used, so as to determine at least one coal and rock stratum based on the logging parameters to be used of the logging curve to be used.

[0083] For example, combining the above examples, the natural gamma ray logging curve is adjusted according to the central symmetry value of the natural gamma ray logging curve to obtain the adjusted natural gamma ray logging curve; the spontaneous potential logging curve is adjusted according to the central symmetry value of the spontaneous potential logging curve to obtain the adjusted spontaneous potential logging curve; the sonic transit time logging curve is adjusted according to the corresponding central symmetry value of the sonic transit time logging curve to obtain the adjusted sonic transit time logging curve. The adjusted natural gamma ray logging curve is shown below. Figure 5 The green curve shown in column 1 (GR4) is the adjusted spontaneous potential logging curve. Figure 5 The purple curve shown in SP2 of column 1 is the adjusted sonic transit time logging curve. Figure 5 The blue curve in column 2 shows the acoustic time difference US_M.

[0084] S250. Based on the parameter range corresponding to the gamma logging curve parameters, the potential logging curve parameters of the spontaneous potential logging curve are adjusted to obtain the adjusted logging curve parameters corresponding to the spontaneous potential logging curve.

[0085] The gamma ray logging parameters are those found in the adjusted natural gamma ray logging curve. The spontaneous potential logging parameters are those found in the adjusted spontaneous potential logging curve. To compare the gamma ray logging parameters and the spontaneous potential logging parameters, the parameter range corresponding to the spontaneous potential logging parameters should first be adjusted to match the parameter range corresponding to the gamma ray logging parameters to ensure the accuracy of the calculation results. The parameter range corresponding to the gamma ray logging parameters can be understood as the numerical range of the gamma ray logging parameters in the adjusted natural gamma ray logging curve. Adjusting the logging curve parameters can be done by adjusting the potential logging curve parameters.

[0086] Specifically, based on the parameter range corresponding to the gamma logging curve parameters, the potential logging curve parameters of the spontaneous potential logging curve are adjusted to determine the adjusted logging curve parameters corresponding to the parameter range corresponding to the gamma logging curve parameters.

[0087] For example, in conjunction with the above example, within the parameter range corresponding to the gamma logging curve parameters, the potential logging curve parameters of the spontaneous potential logging curve are aligned with the parameter range corresponding to the gamma logging curve parameters, so as to convert the potential logging curve parameters into the adjusted logging curve parameters corresponding to the parameter range corresponding to the gamma logging curve parameters. For example, Figure 6 Chinese SP 对标 Column, where SP 对标 This indicates that the logging curve parameters are being adjusted.

[0088] S260. For each depth value of the target layer, if the adjusted logging curve parameter corresponding to the current depth value is higher than the gamma logging curve parameter, and the time difference logging curve parameter is higher than the logging reference parameter corresponding to the sonic time difference logging curve, the current depth value is determined as the depth value corresponding to the coal and rock layer depth range information.

[0089] Specifically, for each depth value in the target layer, it is determined whether the adjusted logging curve parameter corresponding to the current depth value is higher than the gamma logging curve parameter corresponding to the current depth value, and whether the time-of-flight logging curve parameter corresponding to the current depth value is higher than the logging reference parameter corresponding to the sonic time-of-flight logging curve parameter. If the adjusted logging curve parameter corresponding to the current depth value is higher than the gamma logging curve parameter, and the time-of-flight logging curve parameter is higher than the logging reference parameter corresponding to the sonic time-of-flight logging curve, then the current depth value is used as the depth value corresponding to the coal and rock strata depth range information of the target layer. Based on this, at least one coal and rock strata depth range information corresponding to the target layer is determined.

[0090] For example, combining the above example, for each depth value corresponding to 5061.38 meters to 5066 meters in well 702 of Basin A, when the adjusted logging curve parameter corresponding to the current depth value is higher than the gamma logging curve parameter, and the time-of-flight logging curve parameter is higher than the logging reference parameter corresponding to the sonic time-of-flight logging curve parameter, the depth value corresponding to the coal and rock depth range information is determined. That is (SP 对标 -Gr)>0 and (AC-AC) 基线值 )>0, where SP 对标 This indicates adjusting logging curve parameters. Gr represents gamma logging curve parameters, and AC represents time-of-flight logging curve parameters. 基线值 This represents the well logging baseline parameters. Based on the above, the coal and rock depth range corresponding to 5061.38 meters to 5066 meters in well 702 of Basin A is obtained, i.e., the corresponding... Figure 5 The coal and rock strata in the lithology column identified by this method.

[0091] S270. Based on the depth range information of at least one coal and rock stratum, update the depth range information of at least one coal and rock stratum segment to be corrected, and determine at least one coal and rock stratum segment corresponding to the target segment.

[0092] Specifically, based on the depth range information of at least one coal and rock stratum, the depth range information of at least one coal and rock stratum segment to be corrected is updated and adjusted to obtain at least one coal and rock stratum segment corresponding to the depth range information of at least one coal and rock stratum.

[0093] S280. For at least one coal-rock stratum, determine the organic carbon content information of the coal-rock stratum based on the organic carbon content determination function of the coal-rock stratum, the logging reference parameters, and the logging curve parameters to be used.

[0094] In this embodiment of the invention, the method for determining the organic carbon content information of a coal-rock stratum may be as follows: for each depth value of at least one coal-rock stratum, determine the first logging curve parameter difference between the adjusted logging curve parameter corresponding to the current depth value and the gamma logging curve parameter of the natural gamma logging curve, and determine the second logging curve parameter difference between the time-difference logging curve parameter of the sonic transit logging curve and the logging reference parameter at the current depth value; based on the first logging curve parameter difference, the first weighting coefficient, the second logging curve parameter difference, and the second weighting coefficient, determine the parameter to be adjusted; and according to the parameter to be adjusted, the third weighting coefficient corresponding to the parameter to be adjusted, and the adjustment coefficient, obtain the organic carbon content information corresponding to the current depth value.

[0095] The first logging curve parameter difference can be understood as the parameter difference between the adjusted logging curve parameter and the gamma logging curve parameter corresponding to the same depth value. The second logging curve parameter difference can be understood as the parameter difference between the time-difference logging curve parameter and the logging baseline parameter corresponding to the same depth value. The first and second weighting coefficients are both set according to actual needs and are coefficients in the organic carbon content determination function. The parameter to be adjusted can be obtained by multiplying the first logging curve parameter difference, the first weighting coefficient, the second logging curve parameter difference, and the second weighting coefficient. The third weighting coefficient and the adjustment coefficient are both set according to actual needs and are coefficients in the organic carbon content determination function. Organic carbon content information can be understood as the organic carbon content corresponding to each depth value in the coal and rock strata.

[0096] Specifically, for each depth value in at least one coal and rock strata, the first logging curve parameter difference between the adjusted logging curve parameter corresponding to each depth value and the gamma logging curve parameter of the natural gamma logging curve is calculated, as well as the second logging curve parameter difference between the time-of-flight logging curve parameter of the sonic transit-time logging curve corresponding to each depth value and the logging reference parameter is determined. The parameter to be adjusted is obtained by multiplying the first logging curve parameter difference, the first weighting coefficient, the second logging curve parameter difference, and the second weighting coefficient. The parameter to be adjusted is multiplied by the third weighting coefficient corresponding to the parameter to be adjusted, and the multiplication result is summed with the adjustment coefficient to obtain the organic carbon content information corresponding to each depth value.

[0097] Optionally, the function for determining organic carbon content is C. 有机碳 =-3.5+0.62*[(SP 对标 -Gr)+1.1*(AC-AC 基线值 )];

[0098] Among them, C 有机碳 SP represents the organic carbon content information corresponding to the current depth value. 对标 This indicates the current depth value, Gr represents the gamma logging curve parameters, and SP represents the current depth value. 对标 -Gr represents the parameter difference of the first logging curve, and AC represents the time-difference logging curve parameter corresponding to the current depth value. 基线值 Indicates the well logging reference parameters, AC-AC 基线值 This represents the difference in parameters of the second logging curve, where 1 is the first weighting coefficient, 1.1 is the second weighting coefficient, 0.62 is the third weighting coefficient, and -3.5 is the adjustment coefficient.

[0099] For example, see Figure 6 ,according to Figure 6The information shown in each column is used to determine the adjusted logging curve parameter SP corresponding to the potential logging curve parameter based on the gamma logging curve parameter GR and the potential logging curve parameter SP corresponding to each depth value of the coal and rock strata. 对标 Calculate and adjust the logging curve parameter SP. 对标 The difference between the first logging curve parameter and the gamma logging curve parameter GR, i.e. Figure 6 SP in 对标 -Gr. In SP 对标 When -Gr is greater than zero, the logging parameters AC and the logging reference parameters AC are used as the basis for determining the logging parameters. 基线值 Calculate the parameter difference of the second logging curve, i.e., AC-AC. 基线值 In SP 对标 -Gr is greater than zero, and AC-AC 基线值 When the value is greater than zero, the difference in parameters AC-AC from the first logging curve is used. 基线值 The parameters to be adjusted are determined by using the first weighting coefficient 1, the difference in the second logging curve parameters, and the second weighting coefficient 1.1. Figure 6 The satisfaction of SP 对标 -Gr is greater than zero and AC-AC 基线值 Greater than zero, 1*(SP) 对标 -Gr)+1.1*(AC-AC 基线值 Based on the parameters to be adjusted, the third weighting coefficient of 0.62, and the adjustment coefficient of -3.5, the organic carbon content information corresponding to each depth value is obtained, i.e. Figure 6 Total organic carbon in it.

[0100] S290. Based on the organic carbon content information of at least one coal and rock stratum, determine the sweet spot of the coal and rock.

[0101] Among them, the sweet spot of coal and rock is the coal and rock stratum whose organic carbon content information meets the second preset condition.

[0102] In this embodiment of the invention, the method for determining the sweet spot of coal and rock can be as follows: for the organic carbon content information of at least one coal and rock layer, when the organic carbon content information corresponding to the current depth value under the current coal and rock layer meets the preset organic carbon content range, the current depth value is determined as the target depth value, and based on at least one target depth value, the sweet spot of coal and rock corresponding to the target layer is determined.

[0103] The preset organic carbon content range can be a pre-defined standard range to which the organic carbon content belongs. The target depth value can be understood as the depth value corresponding to when the organic carbon content information meets the preset organic carbon content range. The coal-rock sweet spot can be a segment within a coal-rock stratum determined based on at least one target depth value.

[0104] Specifically, for the organic carbon content information of at least one coal-rock stratum, if the organic carbon content information corresponding to the current depth value in the current coal-rock stratum meets the preset organic carbon content range, the current depth value is determined as the target depth value. Based on at least one target depth value corresponding to each coal-rock stratum, the sweet spot segment of the coal-rock stratum corresponding to the target segment is determined.

[0105] For example, in conjunction with the above examples, the composition (or quality) of coal within a coal-bearing stratum is heterogeneous. The content of microscopic components, mineral content, ash content, volatile matter, and fixed carbon in the coal may all vary. This heterogeneity is mainly related to the water depth, salinity, redox environment, and peat formation rate during coal deposition. Under the same maturity conditions, the gas production capacity of coal itself is closely related to its organic carbon content. Coal with high organic carbon content means that it can generate more natural gas when thermally mature. For low- and medium-rank coal-bearing strata, due to their lower maturity, they are far from reaching the stage where coal itself can generate a large amount of gas, and their gas production capacity is relatively lower than that of high-rank coal-bearing strata. However, even at a low maturity stage, coal-bearing strata with high organic carbon content generate significantly more gas than those with low organic carbon content. Therefore, identifying strata with high organic carbon content is an important step in determining sweet spots in coal-bearing strata, especially for low- and medium-rank coal-bearing strata.

[0106] Based on the range of organic carbon content in coal-rock strata, these strata are divided into four types: 1) Organic carbon content less than 6.5% is classified as terrigenous mudstone strata. 2) Organic carbon content greater than 6.5% and less than 50% is classified as coal-bearing mudstone strata. 3) Organic carbon content greater than 50% and less than 75% is classified as argillaceous coal-rock strata. 4) Organic carbon content greater than 75% is classified as coal-bearing strata. Among these, coal-bearing strata represent the strata with the highest gas production among low- and medium-valence coal-rock strata. Therefore, with the preset organic carbon content range set at 75% to 100%, these coal-bearing strata can be understood as sweet spots within the coal-rock strata.

[0107] Based on the above examples, and according to the aforementioned preset organic carbon content range and Figure 6 Information on organic carbon content is used to evaluate the sweet spot of coal and rock formations. The depth value corresponding to the organic carbon content falling within a preset range is taken as the target depth value, and the coal and rock formations with the most target depth values ​​are designated as sweet spot coal and rock formations. That is, through... Figure 5 It can be concluded that although the upper coal seam is thinner than the lower coal seam, the upper coal seam is mainly composed of Class I sweet spots, while the lower coal-rock section is mainly composed of Class III sweet spots, with only some Class II sweet spots developed at the top and bottom of the coal seam. Therefore, the Class I sweet spots in the upper coal-rock section should be selected as the coal-rock sweet spots.

[0108] The technical solution of this embodiment obtains the unprocessed logging curves of the target well's target segment under at least one detection parameter, providing data support for subsequently determining the coal and rock segments of the target segment. Based on the coal and rock sampling information corresponding to the target segment and the unprocessed logging curves under each detection parameter, the logging reference parameters corresponding to the unprocessed logging curves under each detection parameter are determined. For each unprocessed logging curve under each detection parameter, the central symmetry value corresponding to the unprocessed logging curve is determined based on the logging reference parameters. Based on the central symmetry value, the unprocessed logging curve is adjusted to obtain a usable logging curve, and at least one coal and rock segment is determined based on the usable logging curve parameters. Based on the parameter range corresponding to the gamma logging curve parameters, the potential logging curve parameters of the spontaneous potential logging curve are adjusted to obtain the adjusted logging curve parameters corresponding to the spontaneous potential logging curve. For each depth value of the target layer, if the adjusted logging curve parameter corresponding to the current depth value is higher than the gamma logging curve parameter, and the time-of-flight logging curve parameter is higher than the logging reference parameter corresponding to the sonic time-of-flight logging curve, the current depth value is determined as the depth value corresponding to the coal and rock layer depth range information. Based on at least one coal and rock layer depth range information, the depth range information of at least one coal and rock layer segment to be corrected is updated, and at least one coal and rock layer segment corresponding to the target layer is determined. Based on this, at least one coal and rock layer segment under the target layer and the corresponding coal and rock depth range information are accurately obtained, which facilitates the subsequent determination of sweet spots from at least one coal and rock layer segment. For at least one coal and rock layer segment, the organic carbon content information of the coal and rock layer segment is determined according to the organic carbon content determination function of the coal and rock layer segment, the logging reference parameter, and the logging curve parameter to be used. Based on the organic carbon content information of at least one coal and rock layer segment, the coal and rock layer segment whose organic carbon content information meets the second preset condition is designated as the sweet spot. This invention solves the problem of high exploration costs and low exploration efficiency of deep coal and shale gas due to the lack of a method for determining the sweet spot of deep coal and shale gas in the prior art. This invention accurately determines the sweet spot of coal and shale gas in the target stratum, provides guidance for the exploration and development of the target stratum, and helps to improve exploration efficiency and benefits.

[0109] Example 3

[0110] Figure 7 This is a schematic diagram of a device for determining the sweet spot of coal and rock according to Embodiment 3 of the present invention. Figure 7 As shown, the device includes: a well logging curve acquisition module 310, a benchmark parameter determination module 320, a coal and rock stratum determination module 330, an organic carbon content determination module 340, and a coal and rock sweet spot determination module 350.

[0111] The logging curve acquisition module 310 is used to acquire the logging curves to be processed for the target segment of the target well under at least one detection parameter. The target segment is a segment within a preset depth range of the target well where the coal and rock maturity is lower than a preset maturity threshold. The logging curves to be processed under at least one detection parameter include at least one of spontaneous potential logging curves, natural gamma logging curves, and sonic transit time logging curves. The reference parameter determination module 320 is used to determine the logging reference parameters corresponding to the logging curves to be processed under each detection parameter based on the coal and rock sampling information corresponding to the target segment of the target well and the logging curves to be processed under each detection parameter. The coal and rock segment determination module 330 is used to determine the logging reference parameters based on the logging reference parameters. When the number of wells and the parameters of the logging curves to be processed corresponding to the logging reference parameters meet the first preset condition, at least one coal and rock layer depth range information and at least one coal and rock layer segment corresponding to the at least one coal and rock layer depth range information are determined; the organic carbon content determination module 340 is used to determine the organic carbon content information of at least one coal and rock layer segment based on the organic carbon content determination function of the coal and rock layer segment, the logging reference parameters and the parameters of the logging curves to be used; the coal and rock sweet spot segment determination module 350 is used to determine the coal and rock sweet spot segment based on the organic carbon content information of at least one coal and rock layer segment; wherein, the coal and rock sweet spot segment is the coal and rock layer segment whose organic carbon content information meets the second preset condition.

[0112] The technical solution of this embodiment provides data support for subsequently determining the coal and rock segments of the target segment by acquiring the unprocessed logging curves of the target segment under at least one detection parameter. Based on the coal and rock sampling information corresponding to the target segment and the unprocessed logging curves under each detection parameter, the logging reference parameters corresponding to the unprocessed logging curves under each detection parameter are determined. When the logging reference parameters and the unused logging curve parameters in the unprocessed logging curves corresponding to the logging reference parameters meet a first preset condition, at least one coal and rock depth range information is determined, and at least one coal and rock segment corresponding to the coal and rock depth range information is determined. Based on this, at least one coal and rock segment under the target segment and its corresponding coal and rock depth range information are accurately obtained, facilitating the subsequent determination of sweet coal segments from at least one coal and rock segment. For at least one coal and rock segment, the organic carbon content information of the coal and rock segment is determined based on the organic carbon content determination function of the coal and rock segment, the logging reference parameters, and the unused logging curve parameters. Based on the organic carbon content information of at least one coal and rock segment, the coal and rock segment whose organic carbon content information meets the second preset condition is designated as a sweet coal segment. This invention solves the problem of high exploration costs and low exploration efficiency of deep coal and shale gas due to the lack of a method for determining the sweet spot of deep coal and shale gas in the prior art. This invention accurately determines the sweet spot of coal and shale gas in the target stratum, provides guidance for the exploration and development of the target stratum, and helps to improve exploration efficiency and benefits.

[0113] Based on the above embodiments, optionally, the device further includes: a target layer determination module, used to acquire coal and rock samples corresponding to at least one depth value of the target well within a preset depth range, and to perform vitrinite reflectance detection on each coal and rock sample to obtain a detection result corresponding to each coal and rock sample; to determine the coal and rock maturity corresponding to the detection result, and when the coal and rock maturity is lower than a preset maturity threshold, to use the depth value corresponding to the coal and rock maturity as the depth value of the target layer.

[0114] Optionally, a reference parameter determination module is used to acquire coal and rock sampling information corresponding to the target well in the target segment, and based on the coal and rock sampling information, determine the depth information of at least one contact surface, wherein the contact surface is the contact surface between the coal and rock segment to be corrected and other lithological segments besides the coal and rock segment to be corrected; based on the depth information of at least one contact surface, determine the depth range information of at least one coal and rock segment to be corrected, and take the contact surface between the top or bottom of the coal and rock segment to be corrected with other lithological segments in the maximum depth range as the target contact surface; for the logging curve to be processed under at least one detection parameter, determine the logging curve parameters to be processed corresponding to the depth information of the target contact surface in the logging curve to be processed under each detection parameter, and take the logging curve parameters to be processed as logging reference parameters.

[0115] Optionally, the logging curve parameters to be used include: gamma logging curve parameters of natural gamma logging curves, potential logging curve parameters of spontaneous potential logging curves, and time-of-flight logging curve parameters of sonic transit-time logging curves. A coal and rock formation determination module is used to adjust the potential logging curve parameters of spontaneous potential logging curves based on the parameter range corresponding to the gamma logging curve parameters, obtaining adjusted logging curve parameters corresponding to the spontaneous potential logging curves. For each depth value of the target formation, if the adjusted logging curve parameter corresponding to the current depth value is higher than the gamma logging curve parameter, and the time-of-flight logging curve parameter is higher than the logging reference parameter corresponding to the sonic transit-time logging curve, the current depth value is determined as the depth value corresponding to the coal and rock formation depth range information. Based on at least one coal and rock formation depth range information, the depth range information of at least one coal and rock formation to be corrected is updated to determine at least one coal and rock formation corresponding to the target formation.

[0116] Optionally, the device further includes: a logging curve adjustment module, used to determine the central symmetry value corresponding to the logging curve to be processed based on the logging reference parameters for each detection parameter; and to adjust the logging curve to be processed based on the central symmetry value to obtain a logging curve to be used, thereby determining at least one coal and rock stratum based on the logging curve parameters to be used.

[0117] Optionally, the organic carbon content determination module is used to determine, for each depth value in at least one coal and rock formation, a first logging curve parameter difference between the adjusted logging curve parameter corresponding to the current depth value and the gamma logging curve parameter of the natural gamma logging curve, and a second logging curve parameter difference between the time-of-flight logging curve parameter of the sonic transit-time logging curve and the logging reference parameter at the current depth value; based on the first logging curve parameter difference, the first weighting coefficient, the second logging curve parameter difference, and the second weighting coefficient, determine the parameter to be adjusted; and obtain the organic carbon content information corresponding to the current depth value according to the parameter to be adjusted, the third weighting coefficient corresponding to the parameter to be adjusted, and the adjustment coefficient.

[0118] Optionally, the coal-rock sweet spot segment determination module is used to determine the current depth value as the target depth value when the organic carbon content information of the current depth value under the current coal-rock segment meets the preset organic carbon content range, and to determine the coal-rock sweet spot segment corresponding to the target segment based on at least one target depth value.

[0119] The coal sweet spot segment determination device provided in the embodiments of the present invention can execute the coal sweet spot segment determination method provided in any embodiment of the present invention, and has the corresponding functional modules and beneficial effects of the method.

[0120] Example 4

[0121] Figure 8 This is a schematic diagram of the structure of an electronic device provided in Embodiment 4 of the present invention. The electronic device 10 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 may also represent various forms of mobile devices, such as personal digital processors, cellular phones, smartphones, wearable devices (such as 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.

[0122] like Figure 8As 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.

[0123] 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.

[0124] 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, a central processing unit (CPU), a graphics processing unit (GPU), various special-purpose artificial intelligence (AI) computing chips, various processors running machine learning model algorithms, a digital signal processor (DSP), and any suitable processor, controller, microcontroller, etc. Processor 11 performs the various methods and processes described above, such as the coal sweet spot determination method.

[0125] In some embodiments, the method for determining the sweet spot of coal can 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 can 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 method for determining the sweet spot of coal described above can be performed. Alternatively, in other embodiments, processor 11 can be configured to perform the method for determining the sweet spot of coal by any other suitable means (e.g., by means of firmware).

[0126] 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), payload-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.

[0127] Computer programs for implementing the coal sweet spot determination method of the present invention can be written in any combination of one or more programming languages. These computer programs can be provided to the processor of a general-purpose computer, a special-purpose computer, or other programmable data processing device, such that when executed by the processor, the functions / operations specified in the flowcharts and / or block diagrams are implemented. The computer programs can be executed entirely on a machine, partially on a machine, as a standalone software package partially on a machine and partially on a remote machine, or entirely on a remote machine or server.

[0128] Example 5

[0129] Embodiment 5 of the present invention also provides a computer-readable storage medium storing computer instructions for causing a processor to execute a method for determining a sweet spot in coal and rock, the method comprising:

[0130] The process involves acquiring the unprocessed logging curves for the target well's target segment under at least one detection parameter. The target segment is defined as a segment within a preset depth range of the target well where the coal and rock maturity is below a preset maturity threshold. The unprocessed logging curves under at least one detection parameter include at least one of spontaneous potential logging curves, natural gamma logging curves, and sonic transit time logging curves. Based on the coal and rock sampling information corresponding to the target well's target segment and the unprocessed logging curves under each detection parameter, the logging reference parameters corresponding to each detection parameter are determined. Finally, the logging reference parameters and the logging... When the parameters of the logging curve to be processed in the benchmark parameters meet the first preset condition, at least one coal and rock layer depth range information and at least one coal and rock layer segment corresponding to the at least one coal and rock layer depth range information are determined; for at least one coal and rock layer segment, the organic carbon content information of the coal and rock layer segment is determined according to the organic carbon content determination function of the coal and rock layer segment, the logging benchmark parameters, and the logging curve parameters to be used; based on the organic carbon content information of at least one coal and rock layer segment, a sweet spot segment of coal and rock is determined; wherein, the sweet spot segment of coal and rock is a coal and rock layer segment whose organic carbon content information meets the second preset condition.

[0131] 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.

[0132] 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).

[0133] 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.

[0134] 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.

[0135] 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.

[0136] 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 coal lithotype slice determination method characterized by, include: The process involves obtaining the target well's target layer under at least one detection parameter to be processed logging curves. The target layer is a layer within a preset depth range of the target well where the coal and rock maturity is lower than a preset maturity threshold. The at least one detection parameter to be processed logging curves include at least one of spontaneous potential logging curves, natural gamma logging curves, and sonic transit time logging curves. Based on the coal and rock sampling information of the target well in the target layer and the logging curves to be processed under each detection parameter, the logging reference parameters corresponding to the logging curves to be processed under each detection parameter are determined. When the well logging reference parameters and the well logging curve parameters to be used in the well logging curves to be processed corresponding to the well logging reference parameters meet the first preset condition, at least one coal and rock layer depth range information and at least one coal and rock layer segment corresponding to the at least one coal and rock layer depth range information are determined. For the at least one coal and rock formation, the organic carbon content information of the coal and rock formation is determined based on the organic carbon content determination function of the coal and rock formation, the logging reference parameters, and the logging curve parameters to be used. Based on the organic carbon content information of the at least one coal and rock stratum, a sweet spot segment of coal and rock is determined; The sweet spot segment of coal and rock is the coal and rock layer segment whose organic carbon content information meets the second preset condition.

2. The method of claim 1, wherein, Before obtaining the logging curves to be processed for the target formation of the target well under at least one detection parameter, the method further includes: Obtain coal and rock samples corresponding to at least one depth value of the target well within a preset depth range, and perform vitrinite reflectance detection on each coal and rock sample to obtain the detection result corresponding to each coal and rock sample; Determine the coal and rock maturity corresponding to the detection result, and when the coal and rock maturity is lower than a preset maturity threshold, use the depth value corresponding to the coal and rock maturity as the depth value of the target layer.

3. The method of claim 1, wherein, The step of determining the logging baseline parameters corresponding to the logging curve to be processed under each detection parameter, based on the coal and rock sampling information of the target well in the target layer and the logging curve to be processed under each detection parameter, includes: Obtain coal and rock sampling information corresponding to the target well in the target stratum, and determine the depth information of at least one contact surface based on the coal and rock sampling information, wherein the contact surface is the contact surface between the coal and rock stratum to be corrected and other lithological strata excluding the coal and rock stratum to be corrected; Based on the depth information of the at least one contact surface, the depth range information of at least one coal and rock stratum segment to be corrected is determined, and the contact surface between the top or bottom of the coal and rock stratum segment to be corrected with the other lithological stratum segments in the maximum depth range is taken as the target contact surface. For the logging curve to be processed under the at least one detection parameter, determine the logging curve parameter to be processed corresponding to the depth information of the target contact surface in the logging curve to be processed under each detection parameter, and use the logging curve parameter to be processed as the logging reference parameter.

4. The method of claim 1, wherein, The logging curve parameters to be used include: the gamma logging curve parameters of the natural gamma logging curve, the potential logging curve parameters of the spontaneous potential logging curve, and the time difference logging curve parameters of the sonic transit time logging curve. When the well logging reference parameters and the well logging curve parameters to be used in the well logging curves to be processed corresponding to the well logging reference parameters meet the first preset condition, determining at least one coal and rock layer depth range information and at least one coal and rock layer segment corresponding to the at least one coal and rock layer depth range information includes: Based on the parameter range corresponding to the gamma logging curve parameters, the potential logging curve parameters of the spontaneous potential logging curve are adjusted to obtain the adjusted logging curve parameters corresponding to the spontaneous potential logging curve. For each depth value of the target layer, if the adjusted logging curve parameter corresponding to the current depth value is higher than the gamma logging curve parameter, and the time difference logging curve parameter is higher than the logging reference parameter corresponding to the sonic time difference logging curve, the current depth value is determined as the depth value corresponding to the coal and rock layer depth range information. Based on the depth range information of the at least one coal and rock stratum, update the depth range information of at least one coal and rock stratum segment to be corrected, and determine at least one coal and rock stratum segment corresponding to the target segment.

5. The method of claim 4, wherein, The method further includes: For each logging curve to be processed under each detection parameter, the center symmetry value corresponding to the logging curve to be processed is determined based on the logging reference parameters. Based on the central symmetry value, the logging curve to be processed is adjusted to obtain a logging curve to be used, and at least one coal and rock stratum is determined based on the logging curve parameters to be used.

6. The method of claim 1, wherein, The process of determining the organic carbon content information of the coal and rock formation based on the organic carbon content determination function of the coal and rock formation, the well logging reference parameters, and the well logging curve parameters to be used includes: For each depth value of the at least one coal and rock stratum, determine the first logging curve parameter difference between the adjusted logging curve parameter corresponding to the current depth value and the gamma logging curve parameter of the natural gamma logging curve, and determine the second logging curve parameter difference between the time difference logging curve parameter of the sonic transit logging curve and the logging reference parameter at the current depth value. Based on the difference in parameters of the first logging curve, the first weighting coefficient, the difference in parameters of the second logging curve, and the second weighting coefficient, the parameters to be adjusted are determined. Based on the parameter to be adjusted, the third weighting coefficient corresponding to the parameter to be adjusted, and the adjustment coefficient, the organic carbon content information corresponding to the current depth value is obtained.

7. The method of claim 1, wherein, The determination of sweet spots in coal formations based on the organic carbon content information of the at least one coal and rock stratum includes: For the organic carbon content information of the at least one coal and rock stratum, when the organic carbon content information corresponding to the current depth value under the current coal and rock stratum meets the preset organic carbon content range, the current depth value is determined to be the target depth value, and based on at least one target depth value, the sweet spot segment of the coal and rock stratum corresponding to the target stratum is determined.

8. A coal rock dessert segment determination apparatus characterized by comprising: include: The logging curve acquisition module is used to acquire the logging curve to be processed for the target segment of the target well under at least one detection parameter. The target segment is a segment within a preset depth range of the target well and whose coal and rock maturity is lower than a preset maturity threshold. The logging curve to be processed under at least one detection parameter includes at least one of spontaneous potential logging curve, natural gamma logging curve and sonic transit time logging curve. The benchmark parameter determination module is used to determine the logging benchmark parameters corresponding to the logging curve to be processed under each detection parameter based on the coal and rock sampling information of the target well in the target layer and the logging curve to be processed under each detection parameter. The coal and rock strata determination module is used to determine at least one coal and rock strata depth range information and at least one coal and rock strata segment corresponding to the at least one coal and rock strata depth range information when the well logging reference parameters and the well logging curve parameters to be used in the well logging curves to be processed corresponding to the well logging reference parameters meet a first preset condition. An organic carbon content determination module is used to determine the organic carbon content information of the at least one coal and rock formation based on the organic carbon content determination function of the coal and rock formation, the logging reference parameters, and the logging curve parameters to be used. A coal sweet spot segment determination module is used to determine the coal sweet spot segment based on the organic carbon content information of the at least one coal and rock stratum. The sweet spot segment of coal and rock is the coal and rock layer segment whose organic carbon content information meets the second preset condition.

9. An electronic device, comprising: 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 that can be executed by the at least one processor to enable the at least one processor to perform the method for determining the sweet spot of coal and rock as described in 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 determining the sweet spot of coal and rock as described in any one of claims 1-7.

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