Method and device for determining deep coal rock gas reservoir geological engineering double sweet spot

Abstract

A method and device for determining deep coal rock gas reservoir geological engineering double sweet spots, the method comprising: determining the marker chemical elements of the deep coal rock reservoir section of the well to be evaluated; calculating the coal rock index and the sandstone index according to the related data of the marker chemical elements; determining the first type of engineering sweet spot well section of the well to be evaluated according to the coal rock index and the sandstone index; calculating the brittleness index according to the element logging data of the well to be evaluated, and determining the second type of engineering sweet spot well section of the well to be evaluated according to the brittleness index; determining the geological sweet spot section of the well to be evaluated according to the gas logging data of the well to be evaluated and the geochemical logging data of the well to be evaluated; determining the double sweet spot section of the well to be evaluated according to the first type of engineering sweet spot well section, the second type of engineering sweet spot well section and the geological sweet spot section.

Description

Technical Field

[0001] This article relates to the field of unconventional oil and gas reservoir exploration and development technology, and in particular to a method and apparatus for determining the geological engineering double sweet spot of deep coal and gas reservoirs. Background Technology

[0002] Deep coalbed methane reservoirs are coalbed methane reservoirs with gas saturation levels reaching or exceeding saturation. Due to their high temperatures, intact coal structure, and well-developed fracture systems, deep coalbed methane reservoirs are characterized by a significant proportion of free gas. Field test data from multiple deep coalbed methane wells indicate high free gas content and rapid gas emergence; furthermore, as pressure decreases, adsorbed gas desorbs, indicating enormous exploration and development potential.

[0003] As a replacement exploration area, deep coal and gas formations present technical challenges such as complex geological structures and the high risk of coal and gas collapse in the target formation. They also face difficulties in logging operations and limited data. Therefore, establishing a method based on logging data to determine the geological and engineering double sweet spot of deep coal and gas reservoirs, thereby meeting the current needs of exploration and production, is an urgent problem to be solved. Summary of the Invention

[0004] This application provides a method and apparatus for determining the geological and engineering sweet spots of deep coal-gas reservoirs. The method identifies first-class engineering sweet spots by selecting characteristic chemical elements of reservoir sections, second-class engineering sweet spots based on logging data, and geological sweet spots based on gas logging data and geochemical logging data. By combining the above engineering and geological sweet spots, the geological and engineering sweet spots of deep coal-gas reservoirs are determined, thus providing a more economical and faster means of evaluating deep coal-gas reservoirs.

[0005] In a first aspect, this application provides a method for determining the geological engineering double sweet spot of deep coal-gas reservoirs, the method comprising:

[0006] Identify the key chemical elements of the deep coal and rock reservoir sections in the well to be evaluated;

[0007] The coal and sandstone indices were calculated based on the relevant data of the aforementioned key chemical elements.

[0008] The first type of engineering sweet spot well section of the well to be evaluated is determined based on the coal-rock index and the sandstone index.

[0009] The brittleness index is calculated based on the elemental logging data of the well to be evaluated, and the second type of engineering sweet spot well section of the well to be evaluated is determined based on the brittleness index.

[0010] The geological sweet spot of the well to be evaluated is determined based on the gas logging data and the geochemical logging data of the well to be evaluated.

[0011] The double sweet spot segment of the well to be evaluated is determined based on the first type of engineering sweet spot segment, the second type of engineering sweet spot segment, and the geological sweet spot segment.

[0012] Secondly, embodiments of the present invention also provide an apparatus for determining the geological engineering double sweet spot of a deep coal-gas reservoir. The apparatus includes a memory and a processor. The memory is used to store a program for determining the geological engineering double sweet spot of a deep coal-gas reservoir, and the processor is used to read and execute the program for determining the geological engineering double sweet spot of a deep coal-gas reservoir, and execute the method described in any of the above embodiments.

[0013] Thirdly, embodiments of the present invention also provide a computer-readable storage medium storing a data processing program, wherein the data processing program is executed by a processor according to any one of the above embodiments.

[0014] Compared with related technologies, this application provides a method and apparatus for determining the geological engineering sweet spots of deep coal-gas reservoirs. The method includes: determining the characteristic chemical elements of the deep coal-gas reservoir section of the well to be evaluated; calculating the coal-rock index and sandstone index based on the relevant data of the characteristic chemical elements; determining the first type of engineering sweet spot section of the well to be evaluated based on the coal-rock index and the sandstone index; calculating the brittleness index based on the elemental logging data of the well to be evaluated, and determining the second type of engineering sweet spot section of the well to be evaluated based on the brittleness index; determining the geological sweet spot section of the well to be evaluated based on the gas logging data and the geochemical logging data of the well to be evaluated; and determining the double sweet spot section of the well to be evaluated based on the first type of engineering sweet spot section, the second type of engineering sweet spot section, and the geological sweet spot section. This application identifies first-class engineering sweet spots by selecting the marker chemical elements of the reservoir, second-class engineering sweet spots by elemental logging data, and geological sweet spots by gas logging data and geochemical logging data. By combining the above engineering and geological sweet spots, a double sweet spot for deep coal and gas geological engineering is determined, thus providing a more economical and efficient means to evaluate deep coal and gas reservoirs.

[0015] Other features and advantages of this application will be set forth in the following description, and will be apparent in part from the description, or may be learned by practicing the application. Other advantages of this application can be realized and obtained by means of the solutions described in the description and the accompanying drawings. Attached Figure Description

[0016] The accompanying drawings are used to provide an understanding of the technical solutions of this application and constitute a part of the specification. They are used together with the embodiments of this application to explain the technical solutions of this application and do not constitute a limitation on the technical solutions of this application.

[0017] Figure 1 This is a flowchart illustrating the method for determining the geological engineering double sweet spot of deep coal and gas reservoirs according to an embodiment of this application.

[0018] Figure 2 This is a schematic diagram of an apparatus for determining the geological double sweet spot of deep coal and gas reservoirs according to an embodiment of this application;

[0019] Figure 3 This is a schematic diagram of logging integration in some exemplary embodiments. Detailed Implementation

[0020] This application describes several embodiments, but these descriptions are exemplary and not restrictive, and it will be apparent to those skilled in the art that many more embodiments and implementations are possible within the scope of the embodiments described herein. Although many possible combinations of features are shown in the drawings and discussed in the detailed description, many other combinations of the disclosed features are also possible. Unless specifically limited, any feature or element of any embodiment may be used in combination with, or may replace, any feature or element of any other embodiment.

[0021] This application includes and contemplates combinations of features and elements known to those skilled in the art. The embodiments, features, and elements disclosed in this application may also be combined with any conventional features or elements to form a unique inventive scheme as defined by the claims. Any feature or element of any embodiment may also be combined with features or elements from other inventive schemes to form another unique inventive scheme as defined by the claims. Therefore, it should be understood that any feature shown and / or discussed in this application may be implemented individually or in any suitable combination. Therefore, the embodiments are not limited except by the limitations imposed by the appended claims and their equivalents. Furthermore, various modifications and changes may be made within the scope of the appended claims.

[0022] Furthermore, in describing representative embodiments, the specification may have presented methods and / or processes as a specific sequence of steps. However, the method or process should not be limited to the specific order of steps described herein, to the extent that it does not depend on such a specific order. As will be understood by those skilled in the art, other sequences of steps are also possible. Therefore, the specific order of steps set forth in the specification should not be construed as a limitation of the claims. Moreover, the claims concerning the method and / or process should not be limited to the steps performed in the written order, and those skilled in the art will readily understand that these orders can be varied and still remain within the spirit and scope of the embodiments of this application.

[0023] This invention provides a method for determining the geological engineering double sweet spot of deep coal and gas reservoirs, such as... Figure 1 As shown, the method includes steps S100-S150:

[0024] S100: Identifies the key chemical elements in the deep coal and rock reservoir sections of the well to be evaluated;

[0025] S110: Calculate the coal petrography index Mi and the sandstone index Gi based on the relevant data of the aforementioned key chemical elements;

[0026] S120: Determine the first type of engineering sweet spot well section of the well to be evaluated based on the coal-rock index Mi and the sandstone index Gi;

[0027] S130: Calculate the brittleness index based on the elemental logging data of the well to be evaluated, and determine the second type of engineering sweet spot well section of the well to be evaluated based on the brittleness index;

[0028] S140: Determine the geological sweet spot of the well to be evaluated based on the gas logging data and the geochemical logging data of the well to be evaluated.

[0029] S150: Determine the double sweet spot of the well to be evaluated based on the first type of engineering sweet spot, the second type of engineering sweet spot, and the geological sweet spot.

[0030] In this embodiment, the deep coal and rock reservoir section of the well to be evaluated can be determined based on the well's stratification data; or it can be determined based on the stratification data divided by combining the geological design document of the well with data from adjacent wells.

[0031] In one exemplary embodiment, the process of determining the marker chemical elements of a deep coal-rock reservoir section in a well to be evaluated includes:

[0032] The first step is to collect elemental logging data of deep coal and rock reservoirs, namely, chemical element content data detected by X-ray fluorescence logging.

[0033] The second step involves selecting key chemical elements that characterize coal from the collected chemical element data, including one or more of the following: silicon, aluminum, iron, magnesium, calcium, sodium, potassium, and sulfur. The specific selection process can be as follows:

[0034] (1) According to the principles of geochemistry, the minerals in coal include various sulfates, metal sulfides, carbonate minerals, etc. When the coal content in the coal reservoir is high, it will lead to a relatively high content of sulfur (S) and calcium (Ca). Mudstone is mainly composed of clay minerals, and the chemical composition of clay minerals is mainly Al2O3 and SiO2. When the mudstone content in the coal reservoir is high, it will lead to a relatively high content of aluminum (Al).

[0035] (2) Extract sulfur (S) representing coal content and aluminum (Al) representing mudstone content from deep coal and rock reservoirs and cross them. The size of the envelope of this curve can be used as an indicator of coal content.

[0036] In one exemplary embodiment, the coal petrography index Mi and the sandstone index Gi are calculated based on relevant data of key chemical elements;

[0037] The coal rock index Mi is:

[0038] Mi = (S + Ca) / (Al + Fe + K)

[0039] The sandstone index Gi is:

[0040] Gi = Si / Al

[0041] Where Mi is the coal rock index, Gi is the sandstone index, and Si, S, Ca, Al, K, and Fe are the contents of the chemical elements silicon, sulfur, calcium, aluminum, potassium, and iron, respectively.

[0042] In one exemplary embodiment, determining the first type of engineering sweet spot interval of the well to be evaluated based on the coal-rock index Mi and the sandstone index Gi includes:

[0043] The first step is to determine the threshold values ​​for the coal-rock index and the sandstone index respectively; for example, the threshold value for the coal-rock index is 2, and the threshold value for the sandstone index is 26.

[0044] The second step is to determine the well sections where the coal rock index Mi is greater than or equal to threshold 2 and the sandstone index Gi is greater than or equal to threshold 26, and to designate the well sections as the first type of engineering sweet spot well sections of the well to be evaluated.

[0045] In one exemplary embodiment, calculating the brittleness index based on the logging data of the well to be evaluated includes:

[0046] The first step is to collect the contents of sand, clay, dolomitic, and coal based on X-ray fluorescence logging data.

[0047] The second step is to calculate the brittleness index based on the sand content, mud content, ash content, and coal content.

[0048] The brittleness index BI is:

[0049] BI = (C Si +C co3 +C m ) / (C Si +C co3 +C m +C th )

[0050] Where BI is the fragility index, and CSi For sand content, C co3 For the content of gray cloud matter, C m For coal quality content, C th This refers to the mud content.

[0051] In one exemplary embodiment, determining the second type of engineering sweet spot well section of the well to be evaluated based on the brittleness index includes:

[0052] The first step is to determine the brittleness index threshold; for example, the brittleness index threshold is 40.

[0053] The second step is to designate well sections with a brittleness index greater than or equal to 40 as the second type of engineering sweet spot well sections for evaluation.

[0054] In one exemplary embodiment, determining the geological sweet spot of the well to be evaluated based on gas logging data and geochemical logging data includes:

[0055] The first step is to obtain the total hydrocarbon data from the gas logging data of the well to be evaluated;

[0056] In this step, total hydrocarbons characterizing the amount of free gas in the coal and rock are extracted by collecting gas logging data from deep coal and rock reservoir sections.

[0057] The second step is to obtain geochemical logging data of the well to be evaluated and determine the amount of free gas in the coal and rock, S1, and the content of adsorbed gas, Pg, in the geochemical logging data.

[0058] The specific implementation method of this step is as follows: Coal and rock are both gas-generating layers and gas-reservoir layers. There are three states of coalbed methane occurrence: adsorbed gas on the surface, free gas distributed in coal pores and cleavage spaces, and dissolved gas dissolved in coal seam water; since dissolved gas accounts for a very small portion, it is not included in the logging statistics.

[0059] 1. Statistical pyrolysis geochemical logging S1 data.

[0060] 2. Calculate the adsorbed gas content Pg using the following formula:

[0061] Pg = S0 + S1 + S2

[0062] Wherein, Pg is the total hydrocarbon content per unit rock, mg / g; S0 is the gaseous hydrocarbon content per unit rock, mg / g; S1 is the free hydrocarbon content per unit rock, mg / g; and S2 is the cracked hydrocarbon content per unit rock, mg / g.

[0063] The third step is to determine the geological sweet spot of the well to be evaluated based on the total hydrocarbon data, the free gas content S1 of the coal and rock and the adsorbed gas content Pg.

[0064] A gas content curve for this well was established using total hydrocarbon data, and a bar chart was created using S1 and Pg data, as shown below. Figure 3 As shown, the geological sweet spot of the well is determined based on its value. Specifically, the first step is to determine the predetermined thresholds for total hydrocarbons in gas logging as 40%, S1 as 1.2 mg / g, and Pg as 18 mg / g.

[0065] The second step is to identify well sections that meet the requirements of ≥40% total hydrocarbons in deep gas chromatography, S1>1.2mg / g and Pg>18mg / g. The coal seams corresponding to these well sections are considered to be relatively good geological sweet spots.

[0066] In one exemplary embodiment, the double sweet spot of the well to be evaluated is determined based on a first type of engineering sweet spot, a second type of engineering sweet spot, and the geological sweet spot. Specifically, this can be achieved by collecting the above data for the target formation of the newly drilled well and evaluating it. If the coal-lithology index Mi≥2 and sandstone index Gi≥26 of the coal reservoir to be evaluated constitute a first type of engineering sweet spot, and the brittleness index BI≥40 constitutes a second type of engineering sweet spot, the coal reservoir at the corresponding depth is a relatively good engineering sweet spot. Meanwhile, if the total hydrocarbon content in gas analysis at the corresponding depth is ≥40%, S1>1.2mg / g, and Pg>18mg / g, the coal seam at that depth is a relatively good geological sweet spot. A comprehensive evaluation is then performed by combining the above engineering sweet spot and geological sweet spot data to classify the coal reservoir quality.

[0067] This invention provides an apparatus for determining the geological sweet spot of deep coal and gas reservoirs, such as... Figure 2 As shown, the apparatus includes: a memory 200 and a processor 210; the memory is used to store a program for determining the double sweet spot in geological engineering of deep coal-gas reservoirs, and the processor is used to read and execute the program for determining the double sweet spot in geological engineering of deep coal-gas reservoirs, and to execute the method described in any of the above embodiments.

[0068] This invention also provides a computer-readable storage medium storing a data processing program, which is executed by a processor according to any one of the above embodiments.

[0069] This application presents a method for determining the geological and engineering sweet spots of deep coal-gas reservoirs. By selecting target layers, characterizing the characteristic chemical elements of both geological and engineering sweet spots, performing gas chromatography (GC) analysis, and utilizing pyrolysis geochemical logging data, a method for evaluating the geological and engineering sweet spots of deep coal-gas reservoirs is established. This provides a more economical and efficient means of evaluating deep coal-gas reservoirs, thus offering a basis for fracturing and selecting layers within deep coal-gas reservoirs. It meets the needs of current exploration and production and has significant potential for widespread application. This invention can promote the application of new technologies such as X-ray fluorescence logging and pyrolysis geochemical logging in deep coal-gas reservoirs. Simultaneously, it helps in identifying deep coal-gas sweet spot reservoirs, providing technical support for construction projects.

[0070] Example 1

[0071] For well A in a certain study area, the above-mentioned method for determining the geological engineering double sweet spot of deep coal and gas reservoirs is used to determine the geological engineering double sweet spot segment of the well. The specific implementation process is as follows:

[0072] The first step is to determine the deep coal and rock reservoir section of the well to be evaluated based on the stratigraphic data of a well in the study area, such as... Figure 3 As shown, the deep coal and rock reservoir ranges from approximately 4660m to 5040m.

[0073] The second step is to collect chemical element content data from X-ray fluorescence logging of the target layer. This includes, but is not limited to, the following elements: silicon, aluminum, iron, magnesium, calcium, sodium, potassium, and sulfur.

[0074] The third step is to select the key elements that characterize coal from the collected chemical element data, such as... Figure 3 As shown, sulfur (S) and aluminum (Al) elements are extracted from the target stratigraphic section. The sulfur (S) element, which best represents the coal content, is intersected with the aluminum (Al) element, which represents the mudstone content. Figure 3 As shown in column 1, the curve envelope serves as an indicator of coal content.

[0075] Step 4: Calculate the coal-rock index Mi and the sandstone index Gi.

[0076] In this step, the threshold values ​​for the coal-rock index and the sandstone index are first determined.

[0077] Secondly, well sections that satisfy the coal-rock index Mi threshold and the sandstone index Gi threshold are identified as the first type of engineering sweet spot well sections of the well to be evaluated; wherein, the threshold for the coal-rock index is 2, and the threshold for the sandstone index is 26. Figure 3As shown in columns 2 and 3, the well sections with a coal-rock index Mi greater than or equal to 2 and a sandstone index Gi greater than or equal to 26 represent the first-class engineering sweet spot sections of the well to be evaluated, i.e., sections with good engineering quality. As shown in Table 1, layers 4818-4872m and 8980-5033m are comprehensively evaluated as first-class layers; layers 24674-4770m and 6915-4937m are comprehensively evaluated as second-class layers, which are the engineering sweet spot sections of this well.

[0078] Step 5: Calculate the brittleness index based on the logging data of the well to be evaluated, and determine the second type of engineering sweet spot well section of the well to be evaluated based on the brittleness index.

[0079] In this step, the specific implementation process includes:

[0080] 1. Calculate the sand content, clay content, silt content, and coal content based on the logging data of the well to be evaluated;

[0081] 2. Calculate the brittleness index based on the data of sand content, clay content, silty matter content, and coal content;

[0082] 3. Determine the second type of engineering sweet spot well section of the well to be evaluated based on the brittleness index;

[0083] The well engineering curve was established using brittleness index data, such as... Figure 3 As shown in the four columns in Table 1, the brittleness index is used to classify the engineering sweet spot of the well based on the determined brittleness index threshold. For example, the brittleness index threshold is 40.

[0084] Step 6: Collect gas logging data for the target formation, such as... Figure 3 As shown in the five columns in the table, the total hydrocarbon data in Table 1 are used to extract the total hydrocarbons that characterize the amount of free gas in coal and rock.

[0085] Step 7: Collect pyrolysis geochemical logging data for the target formation. This includes S1, which characterizes the amount of free gas in the coal and rock, and Pg, which characterizes the content of adsorbed gas.

[0086] Step 8: Determine the geological sweet spot of the well to be evaluated based on the total hydrocarbon data, the free gas content S1 in the coal and rock and the adsorbed gas content Pg.

[0087] The specific implementation process is as follows: The gas content curve of the well is established using the total hydrocarbon data collected in step six, such as... Figure 3 As shown in columns 5; a bar chart is constructed using the S1 and Pg data from step 7, as shown below. Figure 3 As shown in columns 6 and 7. Well sections with total hydrocarbon data greater than or equal to 40%, free gas content S1 in coal and rock greater than 1.2 mg / g, and adsorbed gas content Pg greater than 18 mg are identified as geological sweet spots.

[0088] Step 9: Collect the above data for the deep coal-rock reservoir section of well A to be evaluated. It exhibits high Mi and Gi, and a high brittleness index BI, indicating that the coal seam at this depth is a good engineering sweet spot. Meanwhile, the corresponding depth shows high total hydrocarbons, S1, and Pg, indicating that the coal seam at this depth is a good geological sweet spot. Figure 3 The eight interpretation conclusions in the middle section provide a reservoir classification interpretation and evaluation of the double sweet spot in the geological engineering of this well.

[0089] The classification results from step nine above are verified, such as... Figure 3 As shown, based on the above method, it is recommended to conduct gas testing on layers 4 (4818-4872m) and 8 (4980-5033m), which are classified as Class I layers; and layers 2 (4674-4770m) and 6 (4915-4937m), which are classified as Class II layers. The daily gas production was 5.57 × 10⁻⁶ m. 4 m 3 This indicates that the conclusions regarding the identification of the double sweet spot segment in geological engineering are consistent.

[0090] Table 1

[0091]

[0092] It will be understood by those skilled in the art that all or some of the steps, systems, or apparatuses disclosed above, and their functional modules / units, can be implemented as software, firmware, hardware, or suitable combinations thereof. In hardware implementations, the division between functional modules / units mentioned above does not necessarily correspond to the division of physical components; for example, a physical component may have multiple functions, or a function or step may be performed collaboratively by several physical components. Some or all components may be implemented as software executed by a processor, such as a digital signal processor or microprocessor, or as hardware, or as an integrated circuit, such as an application-specific integrated circuit (ASIC). Such software may be distributed on a computer-readable medium, which may include computer storage media (or non-transitory media) and communication media (or transient media). As is known to those skilled in the art, the term computer storage media includes volatile and non-volatile, removable and non-removable media implemented in any method or technology for storing information (such as computer-readable instructions, data structures, program modules, or other data). Computer storage media include, but are not limited to, RAM, ROM, EEPROM, flash memory or other memory technologies, CD-ROM, digital versatile disc (DVD) or other optical disc storage, magnetic cartridges, magnetic tape, disk storage or other magnetic storage devices, or any other medium that can be used to store desired information and can be accessed by a computer. Furthermore, it is well known to those skilled in the art that communication media typically contain computer-readable instructions, data structures, program modules, or other data in modulated data signals such as carrier waves or other transmission mechanisms, and may include any information delivery medium.

Claims

1. A method for determining the double sweet spot in the geological engineering of deep coal-gas reservoirs, characterized in that, The method includes: Identify the key chemical elements of the deep coal and rock reservoir sections in the well to be evaluated; The coal and sandstone indices were calculated based on the relevant data of the aforementioned key chemical elements. The first type of engineering sweet spot well section of the well to be evaluated is determined based on the coal-rock index and the sandstone index. The brittleness index is calculated based on the elemental logging data of the well to be evaluated, and the second type of engineering sweet spot well section of the well to be evaluated is determined based on the brittleness index. The geological sweet spot of the well to be evaluated is determined based on the gas logging data and the geochemical logging data of the well to be evaluated. The double sweet spot segment of the well to be evaluated is determined based on the first type of engineering sweet spot segment, the second type of engineering sweet spot segment, and the geological sweet spot segment; The coal-rock index is as follows: M i =(S+Ca) / (Al+Fe+K) The sandstone index is: G i =Si / Al Among them, M i G is the coal lithology index. i The index represents sandstone, with Si, S, Ca, Al, K, and Fe representing the contents of the chemical elements silicon, sulfur, calcium, aluminum, potassium, and iron, respectively. The step of determining the first type of engineering sweet spot interval of the well to be evaluated based on the coal-rock index and the sandstone index includes: Determine the threshold values ​​for the coal-rock index and the sandstone index respectively; Determine the well section that meets the threshold of the coal-rock index and the threshold of the sandstone index, and designate this well section as the first type of engineering sweet spot well section of the well to be evaluated; The calculation of the brittleness index based on the elemental logging data of the well to be evaluated includes: Calculate the sand content, clay content, silt content, and coal content data based on the elemental logging data of the well to be evaluated; The brittleness index is calculated based on the data of sand content, mud content, ash content, and coal content. The brittleness index BI is: BI=(C Si +C co3 +C m ) / (C Si +C co3 +C m +C th ) Where BI is the fragility index, and C Si For sand content, C co3 For the content of gray cloud matter, C m For coal quality content, C th The content of clay; The determination of the second type of engineering sweet spot well section of the well to be evaluated based on the brittleness index includes: Determine the brittleness index threshold; Well sections with a brittleness index greater than or equal to the brittleness index threshold are designated as the second type of engineering sweet spot well sections of the well to be evaluated.

2. The method for determining the double sweet spot in geological engineering of deep coal and gas reservoirs according to claim 1, characterized in that, The deep coal and rock reservoir section of the well to be evaluated was determined based on the well's stratification data.

3. The method for determining the geological engineering double sweet spot of deep coal and gas reservoirs according to claim 1, characterized in that, The step of determining the geological sweet spot of the well to be evaluated based on the gas logging data and the geochemical logging data of the well to be evaluated includes: Obtain the total hydrocarbon data from the gas logging data of the well to be evaluated; Obtain geochemical logging data of the well to be evaluated, and determine the amount of free gas in the coal and rock, S1, and the content of adsorbed gas, Pg, in the geochemical logging data. The geological sweet spot of the well to be evaluated is determined based on the total hydrocarbon data, the free gas content S1 in the coal and rock, and the adsorbed gas content Pg.

4. The method for determining the geological engineering double sweet spot of deep coal and gas reservoirs according to claim 3, characterized in that, The adsorbed gas content Pg is: Pg = S0 + S1 + S2 Wherein, Pg is the total hydrocarbon content per unit rock, S0 is the gaseous hydrocarbon content per unit rock, S1 is the free hydrocarbon content per unit rock, and S2 is the cracked hydrocarbon content per unit rock.

5. The method for determining the geological engineering double sweet spot of deep coal and gas reservoirs according to claim 4, characterized in that, The step of determining the geological sweet spot of the well to be evaluated based on the total hydrocarbon data, the free gas content S1 in the coal and rock, and the adsorbed gas content Pg includes: Well sections with total hydrocarbon data greater than or equal to a predetermined threshold, free gas volume S1 in coal and rock greater than a predetermined threshold, and adsorbed gas content Pg greater than a predetermined threshold are identified as geological sweet spots.

6. An apparatus for determining the double sweet spot in the geological engineering of deep coal-gas reservoirs, characterized in that, The apparatus includes a memory and a processor; the memory is used to store a program for determining the double sweet spot in geological engineering of deep coal-gas reservoirs, and the processor is used to read and execute the program for determining the double sweet spot in geological engineering of deep coal-gas reservoirs, and to execute the method according to any one of claims 1-5.

7. A computer-readable storage medium storing a data processing program, the data processing program being executed by a processor as described in any one of claims 1-5, the method for determining the geological double sweet spot of a deep coal-gas reservoir.

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