Method, device and electronic equipment for determining mineral content in shale oil and gas reservoirs

Abstract

The present disclosure relates to the technical field of unconventional oil and gas exploration, and in particular to a method, device, storage medium and electronic device for determining the mineral content of shale oil and gas reservoirs. The method comprises: determining the mineral category and sedimentary environment category of the target reservoir; determining the mineral content evaluation model and mineral content relationship model parameters of the target reservoir according to the mineral category and the sedimentary environment category; determining the content of the first type of minerals in the mineral category; and determining the content of all non-first type minerals in the mineral category through the mineral content evaluation model according to the content of the first type of minerals and the parameters of the mineral content relationship model. Based on the advantages of good continuity and low cost of conventional logging data, and according to the differences in lake basin sedimentary environments, a quantitative evaluation model for the content of "ternary minerals" is proposed by analyzing the depositional laws of "ternary minerals", which provides an effective solution to the problem of quantitative evaluation of mineral content in terrestrial shale oil and gas reservoirs.

Description

Technical Field

[0001] The present disclosure relates to the technical field of unconventional oil and gas exploration, and in particular to a method, device, storage medium, and electronic device for determining the mineral content of a shale oil and gas reservoir. Background Art

[0002] China's continental lake basins have enormous potential for shale oil and gas resources and are currently a key area of ​​shale oil and gas exploration and development. These shales are primarily classified into two types: mud-lime deposits and mud-sand deposits, reflecting the sedimentary characteristics of the distal and proximal lacustrine environments, respectively.

[0003] Accurate calculation of the content of mud, sand, ash, and "ternary minerals" in shale reservoirs is of great significance for accurate evaluation of porosity, brittleness, and subsequent fracturing transformation.

[0004] Currently, there are three main methods for quantitatively evaluating shale clay, quartz feldspar, calcium and other mineral components based on logging data:

[0005] The first type primarily combines cored well mineral composition and content analysis data with conventional logging responses for sensitivity analysis. Using single or multiple well logging curves with good correlation, regression relationships are established to quantitatively calculate mineral content. This method is suitable for quickly determining target mineral content in a single well or a small area with stable geological conditions. However, it has significant regional limitations and low accuracy.

[0006] The second approach uses the mineral content curves calculated from the above regression relationship as the initial result to establish a multi-mineral rock physics model. Simultaneously, based on multiple conventional well logging responses, an optimized mineral composition evaluation technique is employed to determine the shale mineral composition and content. This approach offers significant improvements in accuracy compared to the previous approach, but it still has regional limitations, and the determination of "mineral framework parameters" during the optimization evaluation process is highly empirical.

[0007] The third approach, based on elemental logging data such as Lithscanner and ECS, measures elements such as Si, Ca, Fe, S, Al, Mg, K, and Na in the formation. Based on the oxide closure model, it quantitatively calculates the complex mineral composition and content of the shale. Compared with the previous two approaches, this method offers the highest evaluation accuracy, capable of providing results on the composition and content of up to a dozen minerals for an evaluation well. However, this method is extremely expensive to implement due to its high logging and interpretation costs, limiting its application to a small number of key wells.

[0008] Based on the advantages of good continuity and low cost of conventional logging data, this paper proposes a quantitative evaluation model for the content of "ternary minerals" by analyzing the depositional laws of "ternary minerals" according to the differences in lake basin sedimentary environments, providing an effective solution to the problem of quantitative evaluation of mineral content in continental shale oil and gas reservoirs. Summary of the Invention

[0009] In response to the above problems, the present invention proposes a method, device, storage medium and electronic equipment for determining the mineral content of shale oil and gas reservoirs. Based on the advantages of good continuity and low cost of conventional logging data, and according to the differences in lake basin sedimentary environments, a quantitative evaluation model for the "ternary mineral" content is proposed by analyzing the depositional laws of "ternary minerals", providing an effective solution to the problem of quantitative evaluation of the mineral content of terrestrial shale oil and gas reservoirs.

[0010] A first aspect of the present disclosure provides a method for determining the mineral content of a shale oil and gas reservoir, the method comprising:

[0011] Determine the mineral category and sedimentary environment category of the target reservoir;

[0012] Determining a mineral content evaluation model and mineral content relationship model parameters for the target reservoir according to the mineral category and the sedimentary environment category;

[0013] Determine the content of the first type of minerals in the mineral category;

[0014] According to the content of the first type of minerals and the parameters of the mineral content relationship model, the content of all non-first type minerals in the mineral category is determined through the mineral content evaluation model.

[0015] In some embodiments, the mineral categories include:

[0016] Clay minerals, quartz feldspar minerals and calcareous minerals.

[0017] In some embodiments, determining the mineral content evaluation model of the target reservoir according to the mineral type and the depositional environment type includes:

[0018] If the sedimentary environment category is near-source area, determining a near-source area mineral content evaluation model of the target reservoir according to the mineral category, and using the near-source area mineral content evaluation model as the mineral content evaluation model;

[0019] If the depositional environment category is the far-source area, a far-source area mineral content evaluation model of the target reservoir is determined according to the mineral category, and the far-source area mineral content evaluation model is used as the mineral content evaluation model.

[0020] In some embodiments, the mineral content relationship model parameters include:

[0021] Mineral content relationship intercept data and mineral content relationship slope data.

[0022] In some embodiments, the method for determining the parameters of the mineral content relationship model includes:

[0023] If the sedimentary environment category is near-source area, the rock core samples of the near-source area are analyzed to obtain the mineral content relationship model parameters according to the following formula:

[0024]

[0025] Among them, H1 is the intercept data of the relationship between the content of quartz feldspar and clay minerals in the near-source area, K1 is the slope data of the relationship between the content of quartz feldspar and clay minerals in the near-source area, and K2 is the slope data of the relationship between the content of calcium and clay minerals in the near-source area;

[0026] If the sedimentary environment category is a far-source area, the rock core samples of the far-source area are analyzed to obtain the mineral content relationship model parameters according to the following formula:

[0027]

[0028] Among them, H4 is the intercept data of the relationship between calcium and clay mineral content in the far source area, K4 is the slope data of the relationship between calcium and clay mineral content in the far source area, and K3 is the slope data of the relationship between quartz feldspar and clay mineral content in the far source area.

[0029] In some embodiments, determining the content of the first type of minerals in the mineral category includes:

[0030] The content of the first type of minerals is determined based on the well logging data of the target reservoir.

[0031] In some embodiments, determining the depositional environment category of the target reservoir includes:

[0032] The sedimentary environment category of the target reservoir is determined according to the well logging data of the target reservoir.

[0033] In some embodiments, the first type of minerals includes:

[0034] Any of clay minerals, quartz feldspar minerals and calcareous minerals.

[0035] A second aspect of the present disclosure provides a device for determining the mineral content of a shale oil and gas reservoir, the device comprising:

[0036] Category determination module, used to determine the mineral category and sedimentary environment category of the target reservoir;

[0037] a content relationship determination module, configured to determine a mineral content evaluation model and mineral content relationship model parameters of the target reservoir according to the mineral category and the sedimentary environment category;

[0038] A first content determination module, configured to determine the content of a first type of mineral in the mineral category;

[0039] The second content determination module is used to determine the content of all non-first-category minerals in the mineral category through the mineral content evaluation model according to the content of the first-category minerals and the mineral content relationship model parameters.

[0040] A third aspect of the present disclosure provides a storage medium storing a computer program executable by one or more processors to implement the above-described method for determining the mineral content of a shale oil and gas reservoir.

[0041] The fourth aspect of the present disclosure provides an electronic device comprising a memory and a processor, wherein the memory stores a computer program, the memory and the processor are communicatively connected to each other, and when the computer program is executed by the processor, the method for determining the mineral content of a shale oil and gas reservoir as described above is implemented.

[0042] Compared with the prior art, the technical solution disclosed in this disclosure has the following advantages or beneficial effects:

[0043] 1) The present invention enriches the parameter evaluation methods for unconventional shale oil and gas reservoirs and provides a quantitative evaluation method for determining the clay mineral content, calcareous mineral content, and quartz feldspar mineral content in continental shale oil and gas reservoirs;

[0044] 2) This method has a good application effect on continental shale oil and gas reservoirs, and has strong practicality, universality and operability, and has good evaluation accuracy. BRIEF DESCRIPTION OF THE DRAWINGS

[0045] In order to more clearly illustrate the embodiments of the present disclosure or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are only embodiments of the present disclosure. For ordinary technicians in this field, other drawings can be obtained based on the provided drawings without paying any creative work.

[0046] Figure 1 A flow chart of a method for determining the mineral content of a shale oil and gas reservoir provided in an embodiment of the present disclosure;

[0047] Figure 2 A schematic diagram of a typical continental shale oil and gas well location in the Sichuan Basin provided in an embodiment of the present disclosure;

[0048] Figure 3 A schematic diagram of a typical continental shale oil and gas well location in the northern part of the Dongpu Depression provided in an embodiment of the present disclosure;

[0049] FIG4( a ) is a schematic diagram of the relationship between ternary mineral contents in a first continental lake basin shale oil and gas reservoir according to an embodiment of the present disclosure;

[0050] FIG4( b ) is a schematic diagram of the relationship between ternary mineral contents in a second continental lake basin shale oil and gas reservoir provided by an embodiment of the present disclosure;

[0051] FIG4( c ) is a schematic diagram of the relationship between ternary mineral contents in a third continental lake basin shale oil and gas reservoir provided by an embodiment of the present disclosure;

[0052] FIG4( d ) is a schematic diagram of the relationship between ternary mineral contents in a fourth continental lake basin shale oil and gas reservoir provided by an embodiment of the present disclosure;

[0053] FIG5(a) is a diagram showing the ternary mineral content of a well logging interpretation result of a continental lacustrine shale oil and gas reservoir in Well Yuanlu 4 in the Sichuan Basin, provided by an embodiment of the present disclosure;

[0054] FIG5( b ) is a diagram showing the results of well logging interpretation of ternary mineral content in a continental lacustrine shale oil and gas reservoir in Well Fuye 10 in the Sichuan Basin, according to an embodiment of the present disclosure;

[0055] FIG5( c ) is a diagram showing the ternary mineral content logging interpretation results of a continental lacustrine shale oil and gas reservoir in Well Xinglong 101 in the Sichuan Basin, provided by an embodiment of the present disclosure;

[0056] FIG5(d) is a diagram showing the ternary mineral content logging interpretation results of a shale oil and gas reservoir in a continental lake basin in Well Wei 79-8 in the Dongpu Depression, provided by an embodiment of the present disclosure;

[0057] FIG5(e) is a diagram showing the ternary mineral content of a well logging interpretation result for a continental lacustrine basin shale oil and gas reservoir in Well Wei 467 of the Dongpu Depression, provided by an embodiment of the present disclosure;

[0058] Figure 6 A flow chart of another method for determining the mineral content of shale oil and gas reservoirs provided in an embodiment of the present disclosure;

[0059] Figure 7 A schematic structural diagram of a device for determining the mineral content of shale oil and gas reservoirs provided in an embodiment of the present disclosure;

[0060] Figure 8 A connection block diagram of an electronic device provided in an embodiment of the present disclosure. DETAILED DESCRIPTION

[0061] The following will describe the implementation methods of the present disclosure in detail with reference to the accompanying drawings and examples, so that the implementation process of how the present disclosure applies technical means to solve technical problems and achieve corresponding technical effects can be fully understood and implemented accordingly. The embodiments of the present disclosure and the various features therein can be combined with each other as long as they do not conflict with each other, and the resulting technical solutions are all within the scope of protection of the present disclosure.

[0062] As can be seen from the background, shale oil and gas resources in China's continental lake basins hold enormous potential and are currently a key area of ​​shale exploration and development. These shales are primarily classified into two types: mud-lime deposits and mud-sand deposits, reflecting the sedimentary characteristics of the distal and proximal lacustrine environments, respectively. Accurate calculation of the contents of mud, sand, and ash—the "ternary minerals"—in shale reservoirs is crucial for accurate porosity assessment, brittleness analysis, and subsequent fracturing stimulation.

[0063] At present, there are three main methods for quantitatively evaluating shale clay, quartz feldspar, calcium and other mineral components based on well logging data:

[0064] The first type primarily combines cored well mineral composition and content analysis data with conventional logging responses for sensitivity analysis. Using single or multiple well logging curves with good correlation, regression relationships are established to quantitatively calculate mineral content. This method is suitable for quickly determining target mineral content in a single well or a small area with stable geological conditions. However, it has significant regional limitations and low accuracy.

[0065] The second approach uses the mineral content curves calculated from the above regression relationship as the initial result to establish a multi-mineral rock physics model. Simultaneously, based on multiple conventional well logging responses, an optimized mineral composition evaluation technique is employed to determine the shale mineral composition and content. This approach offers significant improvements in accuracy compared to the previous approach, but it still has regional limitations, and the determination of "mineral framework parameters" during the optimization evaluation process is highly empirical.

[0066] The third approach, based on elemental logging data such as Lithscanner and ECS, measures elements such as Si, Ca, Fe, S, Al, Mg, K, and Na in the formation. Based on the oxide closure model, it quantitatively calculates the complex mineral composition and content of the shale. Compared with the previous two approaches, this method offers the highest evaluation accuracy, capable of providing results on the composition and content of up to a dozen minerals for an evaluation well. However, this method is extremely expensive to implement due to its high logging and interpretation costs, limiting its application to a small number of key wells.

[0067] In view of this, the present invention proposes a method, device, storage medium and electronic equipment for determining the mineral content of shale oil and gas reservoirs. Based on the advantages of good continuity and low cost of conventional logging data, and according to the differences in lake basin sedimentary environments, a quantitative evaluation model for the "ternary mineral" content is proposed by analyzing the depositional laws of "ternary minerals", providing an effective solution to the problem of quantitative evaluation of the mineral content of terrestrial shale oil and gas reservoirs.

[0068] Example 1

[0069] This embodiment provides a method for determining the mineral content of shale oil and gas reservoirs.

[0070] In this embodiment, taking continental lake basin shale as an example, it is found through research that continental lake basin shale has the following sedimentary laws:

[0071] Continental lacustrine shales generally follow a fine-grained sedimentary system, evolving from shoreline to clastic / carbonate shallow lakes to semi-deep lakes. The proximal source region is dominated by fine (silt) sandstone and fine (silt) sandy mudstone containing ash / shell mud. The distal source region, in the semi-deep lake facies, is dominated by limy mudstone and argillaceous limestone. After the terrigenous fine (silt) sand, feldspar, and mud minerals from the proximal source region enter the lake basin along deltaic rivers, as the flow energy gradually decreases, the minerals carried by them shift from being dominated by fine (silt) sand and feldspar to being dominated by finer-grained mud, with the contents of the two minerals increasing and decreasing. As the muddy sediments enter the distal source region, they co-deposit with the authigenic calcareous minerals within the lake basin. As the depth of the semi-deep lake sediments deepens, the mud and calcareous mineral contents also exhibit an inverse relationship: as the lake deepens, the mud content decreases, while the calcareous mineral content increases. Analysis of the core mineral content revealed that in the near-source area and the far-source area, the contents of the two groups of minerals increased and decreased inversely, and there was a relatively stable change pattern.

[0072] Figure 1 A flow chart of a method for determining the mineral content of a shale oil and gas reservoir provided in an embodiment of the present disclosure is shown as follows: Figure 1 As shown, the method of this embodiment includes:

[0073] S110. Determine the mineral category and sedimentary environment category of the target reservoir.

[0074] In some embodiments, the mineral categories include:

[0075] Clay minerals, quartz feldspar minerals and calcareous minerals.

[0076] In some embodiments, determining the depositional environment category of the target reservoir includes:

[0077] The sedimentary environment category of the target reservoir is determined according to the well logging data of the target reservoir.

[0078] In some embodiments, the deposition environment category includes:

[0079] Near-source region and far-source region.

[0080] Continental lacustrine shales generally follow a fine-grained sedimentary system, evolving from shoreline to clastic / carbonate shallow lakes to semi-deep lakes. The proximal source region is dominated by fine (silt) sandstone and fine (silt) sandy mudstone containing ash / shell mud. The distal source region, in the semi-deep lake facies, is dominated by limy mudstone and argillaceous limestone. After the terrigenous fine (silt) sand, feldspar, and mud minerals from the proximal source region enter the lake basin along deltaic rivers, as the flow energy gradually decreases, the minerals carried by them shift from being dominated by fine (silt) sand and feldspar to being dominated by finer-grained mud, with the contents of the two minerals increasing and decreasing. As the muddy sediments enter the distal source region, they co-deposit with the authigenic calcareous minerals within the lake basin. As the depth of the semi-deep lake sediments deepens, the mud and calcareous mineral contents also exhibit an inverse relationship: as the lake deepens, the mud content decreases, while the calcareous mineral content increases.

[0081] Optionally, well logging data of the target reservoir is obtained, and the sedimentary environment category is determined based on the well logging data of the target reservoir; the mineral categories of the target reservoir mainly include clay minerals, quartz feldspar minerals and calcareous minerals.

[0082] S120. Determine the mineral content evaluation model and mineral content relationship model parameters of the target reservoir according to the mineral category and the sedimentary environment category.

[0083] In some embodiments, determining the mineral content evaluation model of the target reservoir according to the mineral type and the depositional environment type includes:

[0084] If the sedimentary environment category is near-source area, determining a near-source area mineral content evaluation model of the target reservoir according to the mineral category, and using the near-source area mineral content evaluation model as the mineral content evaluation model;

[0085] If the depositional environment category is the far-source area, a far-source area mineral content evaluation model of the target reservoir is determined according to the mineral category, and the far-source area mineral content evaluation model is used as the mineral content evaluation model.

[0086] In some embodiments, the mineral content relationship model parameters include:

[0087] Mineral content relationship intercept data and mineral content relationship slope data.

[0088] In some embodiments, the method for determining the parameters of the mineral content relationship model includes:

[0089] If the sedimentary environment category is near-source area, the rock core samples of the near-source area are analyzed to obtain the mineral content relationship model parameters according to the following formula:

[0090]

[0091] Among them, H1 is the intercept data of the relationship between the content of quartz feldspar and clay minerals in the near-source area, K1 is the slope data of the relationship between the content of quartz feldspar and clay minerals in the near-source area, and K2 is the slope data of the relationship between the content of calcium and clay minerals in the near-source area;

[0092] If the sedimentary environment category is a far-source area, the rock core samples of the far-source area are analyzed to obtain the mineral content relationship model parameters according to the following formula:

[0093]

[0094] Among them, H4 is the intercept data of the relationship between calcium and clay mineral content in the far source area, K4 is the slope data of the relationship between calcium and clay mineral content in the far source area, and K3 is the slope data of the relationship between quartz feldspar and clay mineral content in the far source area.

[0095] It can be understood that if the sedimentary environment category is near-source area, the rock core samples in the near-source area are analyzed, and as long as the value of any one parameter among K1, K2 or H1 is obtained, the following formula can be used:

[0096]

[0097] The values ​​of the other two parameters are obtained; similarly, if the sedimentary environment category is the far source area, the rock core samples of the far source area are analyzed. As long as the value of any one parameter of K4, K3 or H4 is obtained, the following formula can be used:

[0098]

[0099] Get the values ​​of the other two parameters.

[0100] The proximal source area is dominated by fine (silt) sandstone and fine (silt) sandy mudstone containing gray / shell mud in the shallow lake clastic / carbonate facies. The distal source area is dominated by gray mudstone and muddy limestone in the semi-deep lake facies. After the terrigenous fine (silt) sand, feldspar, and mud minerals in the proximal source area enter the lake basin along the deltaic rivers, the minerals carried by them gradually change from being dominated by fine (silt) sand and feldspar to being dominated by finer-grained mud as the energy of the water flow decreases. The content of these two minerals increases and decreases.

[0101] Optionally, rock core samples corresponding to the target reservoir are obtained. After analyzing the mineral content of the core samples, it is found that the contents of the two groups of minerals in both the near-source area and the far-source area show an inverse increase and decrease, and there is a relatively stable change pattern. Based on this change pattern, the mineral content evaluation model and mineral content relationship model parameters of the target reservoir are obtained.

[0102] Alternatively, the mineral content evaluation model for the near-source area can be expressed as follows:

[0103]

[0104] In the above formula, CLAY, QFM, and CAR represent the clay mineral content, quartz feldspar mineral content, and calcareous mineral content, respectively; H1 is the intercept of the relationship between quartz feldspar and clay mineral content in the near-source area; K1 is the slope of the relationship between quartz feldspar and clay mineral content in the near-source area; and K2 is the slope of the relationship between calcareous and clay mineral content in the near-source area. K2 can be determined based on core sample analysis data or empirical experience.

[0105] Alternatively, the remote source area mineral content evaluation model can be expressed as follows:

[0106]

[0107] In the above formula, CLAY, QFM, and CAR represent the clay mineral content, quartz feldspar mineral content, and calcareous mineral content, respectively; H4 represents the intercept of the relationship between calcium and clay mineral content in the distal source area; K4 represents the slope of the relationship between calcium and clay mineral content in the distal source area; and K3 represents the slope of the relationship between quartz feldspar and clay mineral content in the distal source area. K3 can be determined based on core sample analysis data or empirical experience.

[0108] It should be noted that, through the following formula:

[0109] CLAY+QFM+CAR=100

[0110] A unique solution for the CLAY, QFM, and CAR values ​​can be determined.

[0111] S130: Determine the content of the first type of minerals in the mineral category. In some embodiments, determining the content of the first type of minerals in the mineral category includes:

[0112] The content of the first type of minerals is determined based on the well logging data of the target reservoir.

[0113] In some embodiments, the first type of minerals includes:

[0114] Any of clay minerals, quartz feldspar minerals and calcareous minerals.

[0115] Optionally, well logging data (logging information) of the target reservoir is obtained, and the content of the first type of mineral in the mineral category is determined based on the well logging data of the target reservoir. The first type of mineral can be any one of clay minerals, quartz feldspar minerals, and calcareous minerals.

[0116] S140. Determine the content of all non-first category minerals in the mineral category through the mineral content evaluation model based on the content of the first category minerals and the mineral content relationship model parameters.

[0117] For example, if the first type of mineral whose content has been determined is clay mineral, then it is necessary to calculate the content of quartz feldspar mineral and calcareous mineral in the mineral category based on the previously determined clay mineral content and the mineral content evaluation model.

[0118] It should be noted that when calculating the content of other non-first-class minerals in the mineral category, it is necessary to select the corresponding mineral content evaluation model according to the sedimentary environment category.

[0119] It should be further explained that the "ternary minerals" referred to in the embodiments of the present disclosure mainly include: clay minerals, quartz feldspar minerals and calcareous minerals; the "all non-first-class minerals" referred to in the embodiments of the present disclosure refer to the other two minerals in the "ternary minerals" except the first-class minerals.

[0120] The method for determining the mineral content of shale oil and gas reservoirs provided by the embodiments of the present disclosure determines the mineral category and sedimentary environment category of the target reservoir; determines the mineral content evaluation model and mineral content relationship model parameters of the target reservoir based on the mineral category and the sedimentary environment category; determines the content of the first type of minerals in the mineral category; and determines the content of all non-first type minerals in the mineral category through the mineral content evaluation model based on the content of the first type of minerals and the mineral content relationship model parameters. Based on the advantages of good continuity and low cost of conventional logging data, and according to the differences in lake basin sedimentary environments, a quantitative evaluation model for the content of "ternary minerals" is proposed by analyzing the depositional laws of "ternary minerals", providing an effective solution to the problem of quantitative evaluation of mineral content in continental shale oil and gas reservoirs.

[0121] Example 2

[0122] This embodiment is a specific example provided by the present disclosure, and in this embodiment, the effectiveness of the method of the present disclosure in evaluating the mineral content of shale oil and gas reservoirs in continental lake basins is verified.

[0123] Continental lacustrine shales generally follow a fine-grained sedimentary system, evolving from shoreline to clastic / carbonate shallow lakes to semi-deep lakes. The proximal source region is dominated by fine (silt) sandstone and fine (silt) sandy mudstone containing ash / shell mud. The distal source region, in the semi-deep lake facies, is dominated by limy mudstone and argillaceous limestone. After the terrigenous fine (silt) sand, feldspar, and mud minerals from the proximal source region enter the lake basin along deltaic rivers, as the flow energy gradually decreases, the minerals carried by them shift from being dominated by fine (silt) sand and feldspar to being dominated by finer-grained mud, with the contents of the two minerals increasing and decreasing. As the muddy sediments enter the distal source region, they co-deposit with the authigenic calcareous minerals within the lake basin. As the depth of the semi-deep lake sediments deepens, the mud and calcareous mineral contents also exhibit an inverse relationship: as the lake deepens, the mud content decreases, while the calcareous mineral content increases. Analysis of the core mineral content revealed that in the near-source area and the far-source area, the contents of the two groups of minerals increased and decreased inversely, and there was a relatively stable change pattern.

[0124] In this example, the method for determining the mineral content of shale oil and gas reservoirs disclosed in the present invention was applied to five typical continental shale oil and gas wells in the Sichuan Basin and the northern Dongpu Depression, and compared with the core analysis results. Figure 2 A schematic diagram of a typical continental shale oil and gas well location in the Sichuan Basin provided in an embodiment of the present disclosure;

[0125] Figure 3 A schematic diagram of a typical continental shale oil and gas well location in the northern part of the Dongpu Depression provided in an embodiment of the present disclosure;

[0126] Figure 4(a) to Figure 4(d) Schematic diagrams of the relationship between ternary mineral contents in terrestrial lake basin shale oil and gas reservoirs in different basins and regions provided in embodiments of the present disclosure, wherein FIG4(a) is a schematic diagram of the relationship between quartz feldspar and clay mineral contents for Wells Yuanlu 4, Fuye 10, and Xinglong 101 in the Sichuan Basin, provided in embodiments of the present disclosure; FIG4(b) is a schematic diagram of the relationship between calcareous and clay mineral contents for Wells Yuanlu 4, Fuye 10, and Xinglong 101 in the Sichuan Basin, provided in embodiments of the present disclosure; FIG4(c) is a schematic diagram of the relationship between quartz feldspar and clay mineral contents for Wells Wei 79-8 and Wei 457 in the northern part of the Dongpu Depression, provided in embodiments of the present disclosure; and FIG4(d) is a schematic diagram of the relationship between calcareous and clay mineral contents for Wells Wei 79-8 and Wei 457 in the northern part of the Dongpu Depression, provided in embodiments of the present disclosure; Figure 5(a) to Figure 5(e)Ternary mineral content logging interpretation results diagrams of terrestrial lake basin shale oil and gas reservoirs in different basins and regions are provided for some embodiments of the present disclosure, wherein, Figure 5(a) is a ternary mineral content logging interpretation result diagram of the terrestrial lake basin shale oil and gas reservoir for Yuanlu 4 well in the Sichuan Basin, provided by an embodiment of the present disclosure; Figure 5(b) is a ternary mineral content logging interpretation result diagram of the terrestrial lake basin shale oil and gas reservoir for Fuye 10 well in the Sichuan Basin, provided by an embodiment of the present disclosure; Figure 5(c) is a ternary mineral content logging interpretation result diagram of the terrestrial lake basin shale oil and gas reservoir for Xinglong 101 well in the Sichuan Basin, provided by an embodiment of the present disclosure; Figure 5(d) is a ternary mineral content logging interpretation result diagram of the terrestrial lake basin shale oil and gas reservoir for Wei 79-8 well in the Dongpu Depression, provided by an embodiment of the present disclosure; and Figure 5(e) is a ternary mineral content logging interpretation result diagram of the terrestrial lake basin shale oil and gas reservoir for Wei 467 well in the Dongpu Depression, provided by an embodiment of the present disclosure.

[0127] Figure 6 A flow chart of another method for determining the mineral content of shale oil and gas reservoirs provided in an embodiment of the present disclosure, such as Figure 6 As shown, the method of this embodiment includes the following steps:

[0128] S610. Determine the continental lake basin sedimentary environment based on the well logging data of the target reservoir.

[0129] Optionally, the sedimentary environment of the continental lake basin can be determined to belong to the near-source area or the far-source area based on well logging data and regional geological data.

[0130] In this example, based on the logging data and regional geological data of five typical continental shale oil and gas wells in the Sichuan Basin and the northern Dongpu Depression, the sedimentary environment of different sections in each well was determined, as shown in Track 3 of Figure 5 .

[0131] In some embodiments, after determining the continental lake basin sedimentary environment based on the well logging data of the target reservoir, the method for determining the mineral content of the shale oil and gas reservoir of this embodiment further includes:

[0132] According to the depositional environment, the mineral content evaluation model and the mineral content relationship model parameters are determined.

[0133] In some embodiments, the method for determining the parameters of the mineral content relationship model includes:

[0134] If the sedimentary environment category is near-source area, the rock core samples of the near-source area are analyzed to obtain the mineral content relationship model parameters according to the following formula:

[0135]

[0136] Among them, H1 is the intercept data of the relationship between the content of quartz feldspar and clay minerals in the near-source area, K1 is the slope data of the relationship between the content of quartz feldspar and clay minerals in the near-source area, and K2 is the slope data of the relationship between the content of calcium and clay minerals in the near-source area;

[0137] If the sedimentary environment category is a far-source area, the rock core samples of the far-source area are analyzed to obtain the mineral content relationship model parameters according to the following formula:

[0138]

[0139] Among them, H4 is the intercept data of the relationship between calcium and clay mineral content in the far source area, K4 is the slope data of the relationship between calcium and clay mineral content in the far source area, and K3 is the slope data of the relationship between quartz feldspar and clay mineral content in the far source area.

[0140] The proximal source area is dominated by fine (silt) sandstone and fine (silt) sandy mudstone containing gray / shell mud in the shallow lake clastic / carbonate facies. The distal source area is dominated by gray mudstone and muddy limestone in the semi-deep lake facies. After the terrigenous fine (silt) sand, feldspar, and mud minerals in the proximal source area enter the lake basin along the deltaic rivers, the minerals carried by them gradually change from being dominated by fine (silt) sand and feldspar to being dominated by finer-grained mud as the energy of the water flow decreases. The content of these two minerals increases and decreases.

[0141] Optionally, after determining the terrestrial lake basin sedimentary environment, rock core samples corresponding to the target reservoir are selected. After analyzing the mineral content of the core samples, it is found that the contents of the two groups of minerals in both the near-source area and the far-source area show an inverse increase and decrease, and there is a relatively stable change pattern. Based on this change pattern, the mineral content evaluation model and mineral content relationship model parameters of the target reservoir are obtained.

[0142] Alternatively, the mineral content evaluation model for the near-source area can be expressed as follows:

[0143]

[0144] In the above formula, CLAY, QFM, and CAR represent the clay mineral content, quartz feldspar mineral content, and calcareous mineral content, respectively; H1 is the intercept of the relationship between quartz feldspar and clay mineral content in the near-source area; K1 is the slope of the relationship between quartz feldspar and clay mineral content in the near-source area; and K2 is the slope of the relationship between calcareous and clay mineral content in the near-source area. K2 can be determined based on core sample analysis data or empirical experience.

[0145] Alternatively, the remote source area mineral content evaluation model can be expressed as follows:

[0146]

[0147] In the above formula, CLAY, QFM, and CAR represent the clay mineral content, quartz feldspar mineral content, and calcareous mineral content, respectively; H4 represents the intercept of the relationship between calcium and clay mineral content in the distal source area; K4 represents the slope of the relationship between calcium and clay mineral content in the distal source area; and K3 represents the slope of the relationship between quartz feldspar and clay mineral content in the distal source area. K3 can be determined based on core sample analysis data or empirical experience.

[0148] It should be noted that the slope data and intercept data of the relationship between the quartz feldspar and clay content in the near-source area can be determined first, and then the slope data of the relationship between the calcium and clay content in the near-source area can be calculated through the mineral content evaluation model of the near-source area.

[0149] S620. Determine the content of any one of the ternary minerals based on the well logging data of the target reservoir.

[0150] Optionally, well logging data (logging information) of the target reservoir is obtained, and the content of any one of the ternary minerals is determined through the logging data.

[0151] It should be noted that the ternary minerals include: clay minerals, quartz feldspar minerals, and calcareous minerals.

[0152] In this embodiment, the clay mineral content can be calculated based on neutron-density intersection, as shown in track 4 of FIG5 .

[0153] S630. Determine the content of other non-first-category minerals using a quantitative evaluation model based on the content of the first-category minerals.

[0154] Specifically, the mineral content quantitative evaluation model includes the near-source area mineral content evaluation model and / or the far-source area mineral content evaluation model obtained in step S610.

[0155] In this embodiment, Figure 4(a) to Figure 4(d)Schematic diagrams of the relationship between ternary mineral contents in terrestrial lake basin shale oil and gas reservoirs in different basins and regions provided in the embodiments of the present disclosure are provided. K2 and K3 are determined using the mineral contents of cores from five typical wells in the Sichuan Basin and the northern part of the Dongpu Depression. FIG4(a) is a schematic diagram of the relationship between quartz feldspar and clay mineral contents for wells Yuanlu 4, Fuye 10, and Xinglong 101 in the Sichuan Basin provided in the embodiments of the present disclosure, and FIG4(b) is a schematic diagram of the relationship between calcareous and clay mineral contents for wells Yuanlu 4, Fuye 10, and Xinglong 101 in the Sichuan Basin provided in the embodiments of the present disclosure. It can be determined from the figure that the coefficient K2 is 19 in all cases, and the coefficient K3 for the three wells Yuanlu 4, Fuye 10, and Xinglong 101 is 1.3 respectively. , 1.9, 1.9; Figure 4(c) is a schematic diagram of the relationship between the quartz feldspar and clay mineral contents of Wells Wei 79-8 and Wei 457 in the northern part of Dongpu Depression, provided by an embodiment of the present disclosure, and Figure 4(d) is a schematic diagram of the relationship between the calcareous and clay mineral contents of Wells Wei 79-8 and Wei 457 in the northern part of Dongpu Depression, provided by an embodiment of the present disclosure. It can be determined from the figure that the coefficients K3 of Wells Wei 79-8 and Wei 457 in the northern part of Dongpu Depression are 1.5 and 2.5, respectively.

[0156] By introducing K2 and K3 into the mineral content quantitative evaluation model and combining them with the clay mineral content obtained in S620, the quartz feldspar and calcareous mineral contents can be obtained, as shown in Tracks 5 and 6 of Figure 5 , thereby determining the specific contents of the "ternary minerals."

[0157] In summary, the calculation results of the mineral content quantitative evaluation model provided by the present disclosure are highly consistent with the core analysis results of the two types of minerals (black rod lines), which further verifies that the method for determining the mineral content of shale oil and gas reservoirs provided by the present disclosure can effectively solve the problem of quantitative evaluation of the ternary mineral content of shale oil and gas reservoirs in continental lake basins in different basins and regions, and has good versatility. This embodiment is a specific example provided by the present disclosure, which determines the continental lake basin sedimentary environment according to the logging data of the target reservoir; determines the content of any one of the ternary minerals according to the logging data of the target reservoir; and determines the content of other minerals according to the mineral content quantitative evaluation model. Based on the advantages of good continuity and low cost of conventional logging data, and according to the differences in lake basin sedimentary environments, a "ternary mineral" content quantitative evaluation model is proposed by analyzing the depositional laws of "ternary minerals", which provides an effective solution to the problem of quantitative evaluation of mineral content in continental shale oil and gas reservoirs.

[0158] Example 3

[0159] This embodiment provides a device, which can be used to execute the method embodiment of the present disclosure. For details not disclosed in this device embodiment, please refer to the method embodiment of the present disclosure. Figure 7 A schematic diagram of the structure of a device provided in an embodiment of the present disclosure is shown in FIG. Figure 7 As shown, the apparatus 700 provided in this embodiment includes:

[0160] The category determination module 701 is used to determine the mineral category and sedimentary environment category of the target reservoir.

[0161] In some embodiments, the mineral categories include:

[0162] Clay minerals, quartz feldspar minerals and calcareous minerals.

[0163] In some embodiments, the category determination module 701 includes:

[0164] Mineral category determination module, used to determine the mineral category;

[0165] The sedimentary environment category determination module is used to determine the sedimentary environment category module.

[0166] In some embodiments, the method for determining the deposition environment category includes:

[0167] The depositional environment category is determined by a depositional environment category determination module according to the well logging data of the target reservoir.

[0168] A content relationship determination module 702 is used to determine the mineral content evaluation model and mineral content relationship model parameters of the target reservoir according to the mineral category and the depositional environment category;

[0169] In some embodiments, the content relationship determination module 702 includes:

[0170] Mineral content evaluation and determination module, used to determine the mineral content evaluation model;

[0171] The mineral content relationship determination module is used to determine the mineral content relationship model parameters.

[0172] In some embodiments, if the depositional environment category is near-source area, the mineral content evaluation and determination module determines a near-source area mineral content evaluation model of the target reservoir according to the mineral category, and uses the near-source area mineral content evaluation model as the mineral content evaluation model;

[0173] If the depositional environment category is the far-source area, the mineral content evaluation and determination module determines a far-source area mineral content evaluation model of the target reservoir according to the mineral category, and uses the far-source area mineral content evaluation model as the mineral content evaluation model.

[0174] In some embodiments, the mineral content relationship model parameters include:

[0175] Mineral content relationship intercept data and mineral content relationship slope data.

[0176] In some embodiments, if the sedimentary environment category is near-source area, the rock core samples of the near-source area are analyzed to obtain the mineral content relationship model parameters according to the following formula:

[0177]

[0178] Among them, H1 is the intercept data of the relationship between the content of quartz feldspar and clay minerals in the near-source area, K1 is the slope data of the relationship between the content of quartz feldspar and clay minerals in the near-source area, and K2 is the slope data of the relationship between the content of calcium and clay minerals in the near-source area;

[0179] If the sedimentary environment category is a far-source area, the rock core samples of the far-source area are analyzed to obtain the mineral content relationship model parameters according to the following formula:

[0180]

[0181] Among them, H4 is the intercept data of the relationship between calcium and clay mineral content in the far source area, K4 is the slope data of the relationship between calcium and clay mineral content in the far source area, and K3 is the slope data of the relationship between quartz feldspar and clay mineral content in the far source area.

[0182] Alternatively, the mineral content evaluation model for the near-source area can be expressed as follows:

[0183]

[0184] In the above formula, CLAY, QFM, and CAR represent the clay mineral content, quartz feldspar mineral content, and calcareous mineral content, respectively; H1 is the intercept of the relationship between quartz feldspar and clay mineral content in the near-source area; K1 is the slope of the relationship between quartz feldspar and clay mineral content in the near-source area; and K2 is the slope of the relationship between calcareous and clay mineral content in the near-source area. K2 can be determined based on core sample analysis data or empirical experience.

[0185] Alternatively, the remote source area mineral content evaluation model can be expressed as follows:

[0186]

[0187] In the above formula, CLAY, QFM, and CAR represent the clay mineral content, quartz feldspar mineral content, and calcareous mineral content, respectively; H4 represents the intercept of the relationship between calcium and clay mineral content in the distal source area; K4 represents the slope of the relationship between calcium and clay mineral content in the distal source area; and K3 represents the slope of the relationship between quartz feldspar and clay mineral content in the distal source area. K3 can be determined based on core sample analysis data or empirical experience.

[0188] A first content determination module 703 is used to determine the content of the first type of mineral in the mineral category;

[0189] In some embodiments, determining the content of the first type of minerals in the mineral category includes:

[0190] The content of the first type of minerals is determined based on well logging data of the target reservoir.

[0191] In some embodiments, the first type of minerals includes:

[0192] Any of clay minerals, quartz feldspar minerals and calcareous minerals.

[0193] The second content determination module 704 is used to determine the content of all non-first category minerals in the mineral category through the mineral content evaluation model according to the content of the first category minerals and the mineral content relationship model parameters.

[0194] Optionally, based on the determined content of the first type of minerals, the second content determination module 704 can further determine the content of all other non-first type minerals in the mineral category according to the mineral content evaluation model.

[0195] It should be noted that the above modules / units can be functional modules or program modules, and can be implemented through software or hardware. For modules implemented through hardware, the above modules can be located in the same processor; or the above modules can be located in different processors in any combination.

[0196] The device provided by the embodiment of the present disclosure includes: a category determination module 701, which is used to determine the mineral category and sedimentary environment category of the target reservoir; a content relationship determination module 702, which is used to determine the mineral content evaluation model and mineral content relationship model parameters of the target reservoir based on the mineral category and the sedimentary environment category; a first content determination module 703, which is used to determine the content of the first type of mineral in the mineral category; a second content determination module 704, which is used to determine the content of all non-first type minerals in the mineral category through the mineral content evaluation model based on the content of the first type of mineral and the mineral content relationship model parameters. Based on the advantages of good continuity and low cost of conventional logging data, according to the differences in lake basin sedimentary environments, and by analyzing the depositional laws of "ternary minerals", a "ternary mineral" content quantitative evaluation model is proposed, which provides an effective solution to the problem of quantitative evaluation of mineral content in continental shale oil and gas reservoirs.

[0197] Example 4

[0198] This embodiment further provides a storage medium, in which a computer program is stored. When the computer program is executed by a processor, all or part of the steps of the method in the first embodiment can be implemented:

[0199] Determine the mineral category and sedimentary environment category of the target reservoir; determine the mineral content evaluation model and mineral content relationship model parameters of the target reservoir based on the mineral category and the sedimentary environment category; determine the content of the first category of minerals in the mineral category; determine the content of all non-first category minerals in the mineral category through the mineral content evaluation model based on the content of the first category of minerals and the mineral content relationship model parameters.

[0200] In some embodiments, the mineral categories include:

[0201] Clay minerals, quartz feldspar minerals and calcareous minerals.

[0202] In some embodiments, determining the mineral content evaluation model of the target reservoir according to the mineral type and the depositional environment type includes:

[0203] If the sedimentary environment category is near-source area, determining a near-source area mineral content evaluation model of the target reservoir according to the mineral category, and using the near-source area mineral content evaluation model as the mineral content evaluation model;

[0204] If the depositional environment category is the far-source area, a far-source area mineral content evaluation model of the target reservoir is determined according to the mineral category, and the far-source area mineral content evaluation model is used as the mineral content evaluation model.

[0205] In some embodiments, the mineral content relationship model parameters include:

[0206] Mineral content relationship intercept data and mineral content relationship slope data.

[0207] In some embodiments, the method for determining the parameters of the mineral content relationship model includes:

[0208] If the sedimentary environment category is near-source area, the rock core samples of the near-source area are analyzed to obtain the mineral content relationship model parameters according to the following formula:

[0209]

[0210] Among them, H1 is the intercept data of the relationship between the content of quartz feldspar and clay minerals in the near-source area, K1 is the slope data of the relationship between the content of quartz feldspar and clay minerals in the near-source area, and K2 is the slope data of the relationship between the content of calcium and clay minerals in the near-source area;

[0211] If the sedimentary environment category is a far-source area, the rock core samples of the far-source area are analyzed to obtain the mineral content relationship model parameters according to the following formula:

[0212]

[0213] Among them, H4 is the intercept data of the relationship between calcium and clay mineral content in the far source area, K4 is the slope data of the relationship between calcium and clay mineral content in the far source area, and K3 is the slope data of the relationship between quartz feldspar and clay mineral content in the far source area.

[0214] Alternatively, the mineral content evaluation model for the near-source area can be expressed as follows:

[0215]

[0216] In the above formula, CLAY, QFM, and CAR represent the clay mineral content, quartz feldspar mineral content, and calcareous mineral content, respectively; H1 is the intercept of the relationship between quartz feldspar and clay mineral content in the near-source area; K1 is the slope of the relationship between quartz feldspar and clay mineral content in the near-source area; and K2 is the slope of the relationship between calcareous and clay mineral content in the near-source area. K2 can be determined based on core sample analysis data or empirical experience.

[0217] Alternatively, the remote source area mineral content evaluation model can be expressed as follows:

[0218]

[0219] In the above formula, CLAY, QFM, and CAR represent the clay mineral content, quartz feldspar mineral content, and calcareous mineral content, respectively; H4 represents the intercept of the relationship between calcium and clay mineral content in the distal source area; K4 represents the slope of the relationship between calcium and clay mineral content in the distal source area; and K3 represents the slope of the relationship between quartz feldspar and clay mineral content in the distal source area. K3 can be determined based on core sample analysis data or empirical experience.

[0220] In some embodiments, determining the content of the first type of minerals in the mineral category includes:

[0221] The content of the first type of minerals is determined based on the well logging data of the target reservoir.

[0222] In some embodiments, the method for determining the deposition environment category includes:

[0223] The sedimentary environment category is determined based on well logging data of the target reservoir.

[0224] In some embodiments, the first type of minerals includes:

[0225] Any of clay minerals, quartz feldspar minerals and calcareous minerals.

[0226] Among them, the storage medium may also include computer programs, data files, data structures, etc., individually or in combination. The storage medium or computer program may be specifically designed and understood by those skilled in the art of computer software, or the storage medium may be well known and available to those skilled in the art of computer software. Examples of storage media include: magnetic media, such as hard disks, floppy disks, and magnetic tapes; optical media, such as CDROMs and DVDs; magneto-optical media, such as optical disks; and hardware devices specifically configured to store and execute computer programs, such as read-only memory (ROM), random access memory (RAM), flash memory; or servers, app stores, etc. Examples of computer programs include machine code (e.g., code generated by a compiler) and files containing higher-level code that can be executed by a computer using an interpreter. The described hardware devices can be configured to function as one or more software modules to perform the operations and methods described above, and vice versa. In addition, the storage medium can be distributed across a networked computer system, allowing program code or computer programs to be stored and executed in a decentralized manner.

[0227] In the disclosed embodiment, based on the advantages of good continuity and low cost of conventional logging data, and according to the differences in lake basin sedimentary environments, a quantitative evaluation model for the content of "ternary minerals" is proposed by analyzing the depositional laws of "ternary minerals", providing an effective solution to the problem of quantitative evaluation of mineral content in terrestrial shale oil and gas reservoirs.

[0228] Example 5

[0229] Figure 8 A connection block diagram of an electronic device provided in an embodiment of the present disclosure, such as Figure 8 As shown, the electronic device 800 may include: a processor 801 , a memory 802 , a multimedia component 803 , an input / output (I / O) interface 804 , and a communication component 805 .

[0230] The memory 802 is used to store various types of data, which may include, for example, instructions for any application or method in the electronic device, as well as application-related data. The processor 801 is used to execute all or part of the steps of the method in Example 1:

[0231] Determine the mineral category and sedimentary environment category of the target reservoir; determine the mineral content evaluation model and mineral content relationship model parameters of the target reservoir based on the mineral category and the sedimentary environment category; determine the content of the first category of minerals in the mineral category; determine the content of all non-first category minerals in the mineral category through the mineral content evaluation model based on the content of the first category of minerals and the mineral content relationship model parameters.

[0232] In some embodiments, the mineral categories include:

[0233] Clay minerals, quartz feldspar minerals and calcareous minerals.

[0234] In some embodiments, determining the mineral content evaluation model of the target reservoir according to the mineral type and the depositional environment type includes:

[0235] If the sedimentary environment category is near-source area, determining a near-source area mineral content evaluation model of the target reservoir according to the mineral category, and using the near-source area mineral content evaluation model as the mineral content evaluation model;

[0236] If the depositional environment category is the far-source area, a far-source area mineral content evaluation model of the target reservoir is determined according to the mineral category, and the far-source area mineral content evaluation model is used as the mineral content evaluation model.

[0237] In some embodiments, the mineral content relationship model parameters include:

[0238] Mineral content relationship intercept data and mineral content relationship slope data.

[0239] In some embodiments, the method for determining the parameters of the mineral content relationship model includes:

[0240] If the sedimentary environment category is near-source area, the rock core samples of the near-source area are analyzed to obtain the mineral content relationship model parameters according to the following formula:

[0241]

[0242] Among them, H1 is the intercept data of the relationship between the content of quartz feldspar and clay minerals in the near-source area, K1 is the slope data of the relationship between the content of quartz feldspar and clay minerals in the near-source area, and K2 is the slope data of the relationship between the content of calcium and clay minerals in the near-source area;

[0243] If the sedimentary environment category is a far-source area, the rock core samples of the far-source area are analyzed to obtain the mineral content relationship model parameters according to the following formula:

[0244]

[0245] Among them, H4 is the intercept data of the relationship between calcium and clay mineral content in the far source area, K4 is the slope data of the relationship between calcium and clay mineral content in the far source area, and K3 is the slope data of the relationship between quartz feldspar and clay mineral content in the far source area.

[0246] In some embodiments, determining the content of the first type of minerals in the mineral category includes:

[0247] The content of the first type of minerals is determined based on the well logging data of the target reservoir.

[0248] In some embodiments, the method for determining the deposition environment category includes:

[0249] The sedimentary environment category is determined based on well logging data of the target reservoir.

[0250] In some embodiments, the first type of minerals includes:

[0251] Any of clay minerals, quartz feldspar minerals and calcareous minerals.

[0252] It should be noted that the processor 801 can be an application specific integrated circuit (ASIC), a digital signal processor (DSP), a digital signal processing device (DSPD), a programmable logic device (PLD), a field programmable gate array (FPGA), a controller, a microcontroller, a microprocessor or other electronic components to execute the method described above.

[0253] The memory 802 can be implemented by any type of volatile or non-volatile memory device or a combination thereof, such as static random access memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic memory, flash memory, magnetic disk or optical disk.

[0254] The multimedia component 803 may include a screen and an audio component. The screen may be a touch screen, and the audio component is used to output and / or input audio signals. For example, the audio component may include a microphone for receiving external audio signals. The received audio signals may be further stored in a memory or transmitted via a communication component. The audio component also includes at least one speaker for outputting audio signals.

[0255] The I / O interface 804 provides an interface between the processor 801 and other interface modules, which may be a keyboard, a mouse, buttons, etc. These buttons may be virtual buttons or physical buttons.

[0256] The communication component 805 is used for wired or wireless communication between the electronic device 800 and other devices. Wired communication includes communication through a network port, a serial port, etc.; wireless communication includes Wi-Fi, Bluetooth, Near Field Communication (NFC), 2G, 3G, 4G, 5G, or a combination of one or more of them. Therefore, the corresponding communication component 805 may include a Wi-Fi module, a Bluetooth module, and an NFC module.

[0257] In summary, the present disclosure provides a method, device, storage medium and electronic device for determining the mineral content of shale oil and gas reservoirs. The method includes: determining the mineral category and sedimentary environment category of the target reservoir; determining the mineral content evaluation model and mineral content relationship model parameters of the target reservoir based on the mineral category and the sedimentary environment category; determining the content of the first type of minerals in the mineral category; and determining the content of all non-first type minerals in the mineral category through the mineral content evaluation model based on the content of the first type of minerals and the mineral content relationship model parameters. The present disclosure proposes a method, device, storage medium and electronic device for determining the mineral content of shale oil and gas reservoirs. Based on the advantages of good continuity and low cost of conventional logging data, and according to the differences in lake basin sedimentary environments, a quantitative evaluation model for the content of "ternary minerals" is proposed by analyzing the depositional laws of "ternary minerals", providing an effective solution to the problem of quantitative evaluation of the mineral content of terrestrial shale oil and gas reservoirs.

[0258] It should also be understood that the methods or systems disclosed in the embodiments provided in the present disclosure may also be implemented in other ways. The method or system embodiments described above are merely illustrative. For example, the flowcharts and block diagrams in the accompanying drawings illustrate possible architectures, functions, and operations of the methods and devices according to various embodiments of the present disclosure. In this regard, each box in the flowchart or block diagram may represent a module, a computer program segment, or a portion of a computer program, which contains one or more computer programs for implementing the specified logical functions. It should also be noted that in some alternative implementations, the functions marked in the boxes may occur in an order different from that marked in the drawings, and may actually be executed substantially in parallel, or they may sometimes be executed in the opposite order, depending on the functions involved. It should also be noted that each box in the block diagram and / or flowchart, as well as combinations of boxes in the block diagram and / or flowchart, may be implemented using a dedicated hardware-based system that performs the specified functions or actions, or may be implemented using a combination of dedicated hardware and computer programs.

[0259] In the present disclosure, the terms "comprises", "includes" or any other variations thereof are intended to cover non-exclusive inclusion, so that a process, method, article or apparatus comprising a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or apparatus. In the absence of further limitations, an element defined by the phrase "comprising a ..." does not exclude the presence of other identical elements in the process, method, apparatus or apparatus comprising the element; if there is a description of "first", "second", etc., it is only for descriptive purposes and cannot be understood as indicating or implying relative importance or implicitly indicating the number of the indicated technical features or implicitly indicating the order of the indicated technical features; in the description of the present disclosure, unless otherwise explicitly defined, the terms "sedimentary environment", "near source area", "distant source area", "well logging data", "mineral content", etc. should be understood in a broad sense, and those skilled in the art can reasonably determine the specific meaning of the terms in the present disclosure in combination with the specific content of the technical solution. In addition, in the description of the present disclosure, unless otherwise specified, the terms "multiple" and "multiple" mean at least two.

[0260] Finally, it should be noted that, throughout this specification, references to terms such as "one embodiment," "some embodiments," "example," "an example," or "some examples" mean that the specific features, structures, materials, or characteristics described in conjunction with that embodiment or example are included in at least one embodiment or example of the present disclosure. Throughout this specification, schematic representations of the above terms do not necessarily refer to the same embodiment or example. Furthermore, the specific features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.

[0261] Although the embodiments of the present disclosure have been shown and described above, it is understood that the above embodiments are exemplary and the contents described are merely implementation methods adopted to facilitate understanding of the present disclosure and are not intended to limit the present disclosure. Any person skilled in the art of the present disclosure may make any modifications and changes in the form and details of the implementation without departing from the spirit and scope of the present disclosure. However, the scope of protection of the present disclosure shall still be based on the scope defined by the appended claims.

Claims

1. A method for determining the mineral content of shale oil and gas reservoirs, characterized in that: The method comprises: Determine the mineral category and sedimentary environment category of the target reservoir; wherein the mineral category includes: clay minerals, quartz feldspar minerals and calcareous minerals; Determining a mineral content evaluation model and mineral content relationship model parameters for the target reservoir according to the mineral category and the sedimentary environment category; Determine the content of the first type of minerals in the mineral category; Determining the contents of all non-first-category minerals in the mineral category using the mineral content evaluation model based on the contents of the first-category minerals and the mineral content relationship model parameters; The method for determining the parameters of the mineral content relationship model includes: If the sedimentary environment category is near-source area, the rock core samples of the near-source area are analyzed to obtain the mineral content relationship model parameters according to the following formula: in, is the intercept data of the relationship between quartz feldspar and clay mineral content in the near-source area, is the slope data of the relationship between quartz feldspar and clay mineral content in the near-source area, The slope data of the relationship between calcium and clay mineral content in the near-source area; If the sedimentary environment category is a far-source area, the rock core samples of the far-source area are analyzed to obtain the mineral content relationship model parameters according to the following formula: in, is the intercept data of the relationship between calcium and clay mineral content in the far source area, is the slope data of the relationship between calcium and clay mineral content in the far source area, is the slope of the relationship between quartz feldspar and clay mineral content in the far-source area.

2. The method according to claim 1, characterized in that Determining the mineral content evaluation model of the target reservoir according to the mineral category and the sedimentary environment category includes: If the sedimentary environment category is near-source area, determining a near-source area mineral content evaluation model of the target reservoir according to the mineral category, and using the near-source area mineral content evaluation model as the mineral content evaluation model; If the depositional environment category is the far-source area, a far-source area mineral content evaluation model of the target reservoir is determined according to the mineral category, and the far-source area mineral content evaluation model is used as the mineral content evaluation model.

3. The method according to claim 1, characterized in that The mineral content relationship model parameters include: Mineral content relationship intercept data and mineral content relationship slope data.

4. The method according to claim 1, wherein Determining the content of the first type of minerals in the mineral category includes: The content of the first type of minerals is determined based on the well logging data of the target reservoir.

5. The method according to claim 1, wherein Determining the sedimentary environment category of the target reservoir includes: The sedimentary environment category of the target reservoir is determined according to the well logging data of the target reservoir.

6. The method according to any one of claims 1 to 5, characterized in that The first category of minerals includes: Any of clay minerals, quartz feldspar minerals and calcareous minerals.

7. A device, characterized in that: include: A category determination module is used to determine the mineral category and sedimentary environment category of the target reservoir; wherein the mineral category includes: clay minerals, quartz feldspar minerals and calcareous minerals; a content relationship determination module, configured to determine a mineral content evaluation model and mineral content relationship model parameters of the target reservoir according to the mineral category and the sedimentary environment category; A first content determination module, configured to determine the content of a first type of mineral in the mineral category; a second content determination module, configured to determine the content of all non-first category minerals in the mineral category by using the mineral content evaluation model according to the content of the first category minerals and the mineral content relationship model parameters; The content relationship determination module determines the parameters of the mineral content relationship model in the following manner: If the sedimentary environment category is near-source area, the rock core samples of the near-source area are analyzed to obtain the mineral content relationship model parameters according to the following formula: in, is the intercept data of the relationship between quartz feldspar and clay mineral content in the near-source area, is the slope data of the relationship between quartz feldspar and clay mineral content in the near-source area, The slope data of the relationship between calcium and clay mineral content in the near-source area; If the sedimentary environment category is a far-source area, the rock core samples of the far-source area are analyzed to obtain the mineral content relationship model parameters according to the following formula: in, is the intercept data of the relationship between calcium and clay mineral content in the far source area, is the slope data of the relationship between calcium and clay mineral content in the far source area, is the slope of the relationship between quartz feldspar and clay mineral content in the far-source area.

8. A storage medium, characterized in that: The computer program stored in the storage medium can be executed by one or more processors to perform the method for determining the mineral content of a shale oil and gas reservoir as described in any one of claims 1 to 6.

9. An electronic device, characterized in that: The method comprises a memory and a processor, wherein a computer program is stored in the memory, and the memory and the processor are communicatively connected to each other. When the computer program is executed by the processor, the method for determining the mineral content of a shale oil and gas reservoir as claimed in any one of claims 1 to 6 is executed.

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