Micro-migration-based shale oiliness and shale oil mobility grading evaluation method

Abstract

The application provides a shale oil-bearing property and shale oil mobility grading evaluation method based on micro-migration. The method comprises the following steps: receiving total organic carbon content, maximum pyrolysis peak temperature, pyrolysis soluble hydrocarbon amount, pyrolysis hydrocarbon amount and vitrinite reflectance of shale oil in any area sent by a data acquisition device to obtain shale residual hydrocarbon amount, shale oil-bearing saturation, micro-migration hydrocarbon amount and hydrocarbon generation potential index; processing the vitrinite reflectance, the hydrocarbon generation potential index, the shale oil-bearing saturation and the micro-migration hydrocarbon amount to determine a critical value of the shale oil-bearing saturation, a critical value of the micro-migration hydrocarbon amount and the highest critical value and the lowest critical value of the shale residual hydrocarbon amount; and identifying a sweet spot section of the shale oil according to the critical value of the shale oil-bearing saturation, the critical value of the micro-migration hydrocarbon amount and the highest critical value and the lowest critical value of the shale residual hydrocarbon amount, so that the distribution layer section of the sweet spot with high oil-bearing property and mobility in the shale series can be quantitatively distinguished, and the error in identifying the sweet spot section is reduced.

Description

Technical Field

[0001] This application relates to the field of oil and gas exploration technology, and in particular to a method for classifying and evaluating the oil-bearing capacity and mobility of shale based on micro-migration. Background Technology

[0002] As exploration of continental shale oil deepens, the mismatch between shale oil production and resource potential remains a significant challenge. Continental basins primarily develop matrix-type, interbedded, and mixed-sedimentary shale formations. The diverse source-reservoir combinations and the development of faults make it difficult to find highly mobile and hydrocarbon-rich sweet spots. Therefore, the grading and evaluation of shale oil-bearing capacity and shale oil mobility has become a major focus.

[0003] Currently, existing technologies propose the "free hydrocarbon difference method" to evaluate the oil-bearing potential of shale and mudstone. This method calculates the initial hydrocarbon generation of each hydrocarbon generation and expulsion unit, then subtracts the existing hydrocarbon content of the corresponding unit to obtain the free hydrocarbon difference for each unit. The oil-bearing potential of the shale is then evaluated based on this free hydrocarbon difference. However, this method has two problems: 1) The free hydrocarbon difference method is only suitable for qualitative evaluation of shale oil-bearing potential and cannot provide quantitative evaluation; 2) This method does not consider the loss of light hydrocarbons.

[0004] Existing technologies also propose methods for calculating the amount of micro-migrating hydrocarbons. If the amount of micro-migrating hydrocarbons is greater than zero, it indicates micro-external migration of hydrocarbons; if the amount of micro-migrating hydrocarbons is less than zero, it indicates micro-internal migration of hydrocarbons. This method is used to evaluate micro-migration phenomena. However, this method has not been used to evaluate the oil content and mobility of shale, which leads to biases in the identification of sweet spots in shale oil.

[0005] Existing technologies suggest that high oil saturation may correspond to high shale oil content, considering an oil saturation of 100 mg / g TOC as the movable threshold for shale oil. Shale formations with a saturation above this threshold have industrial production capacity, while those below this value are difficult for shale oil to flow effectively. However, this approach has two problems: 1) Shale with low total organic carbon (TOC) and free hydrocarbon content can still have high oil saturation, potentially leading to errors in sweet spot identification; 2) During core sampling in shale oil exploration wells, the obtained shale cores experience significant light hydrocarbon loss, causing deviations in oil saturation values. Based on this, methods have been developed that incorporate the absolute values ​​of free hydrocarbon and TOC content, thus avoiding misjudgments where both free hydrocarbon and TOC values ​​are very low, but the oil saturation may still exceed 100 mg / g TOC. However, this method does not consider the influence of micro-migration.

[0006] In summary, existing technologies have three main problems: 1) Most evaluations of oil content are qualitative comparisons, with relatively few quantitative evaluations; 2) All methods for obtaining shale oil content through laboratory analysis inevitably suffer from severe light hydrocarbon loss during sample preservation and preparation; 3) Shale can serve as both a source rock and a reservoir, but previous methods have neglected the influence of micro-migration effects on shale oil content and shale oil mobility, leading to errors in the sweet spot of the evaluation. Summary of the Invention

[0007] This application provides a method for classifying and evaluating the oil-bearing capacity and mobility of shale based on micro-transportation, in order to reduce the error in identifying sweet spots.

[0008] In a first aspect, embodiments of this application provide a method for classifying and evaluating the oil content and mobility of shale based on micro-transportation, comprising: receiving data from a data acquisition device on the total organic carbon content, highest pyrolysis peak temperature, pyrolysis soluble hydrocarbon content, pyrolysis hydrocarbon content, and vitrinite reflectance of shale in any region; correcting the pyrolysis soluble hydrocarbon content to obtain the shale retained hydrocarbon content; wherein the shale retained hydrocarbon content reflects the oil content of shale; calculating the shale oil saturation based on the total organic carbon content and the shale retained hydrocarbon content; wherein the shale oil saturation reflects the mobility of shale oil; and calculating micro-transported hydrocarbons based on the total organic carbon content, pyrolysis hydrocarbon content, and highest pyrolysis peak temperature. The following steps are taken: Calculate the hydrocarbon generation potential index based on total organic carbon content, pyrolytic soluble hydrocarbon content, and pyrolytic hydrocarbon content; determine the critical value of shale oil saturation based on vitrinite reflectance, hydrocarbon generation potential index, and shale oil saturation; determine the critical value of micro-migrated hydrocarbons based on micro-migrated hydrocarbon content, shale oil saturation, and the critical value of shale oil saturation; determine the highest and lowest critical values ​​of shale retained hydrocarbons based on total organic carbon content and shale retained hydrocarbons; and identify the sweet spot of shale oil based on the critical values ​​of shale oil saturation, micro-migrated hydrocarbons, and the highest and lowest critical values ​​of shale retained hydrocarbons.

[0009] In one possible implementation, the critical value of shale oil saturation is determined based on vitrinite reflectance, hydrocarbon generation potential index, and shale oil saturation, including: plotting a vitrinite reflectance-hydrocarbon generation potential index cross-plot based on vitrinite reflectance and hydrocarbon generation potential index; plotting a vitrinite reflectance-shale oil saturation cross-plot based on vitrinite reflectance and shale oil saturation; and determining the critical value of shale oil saturation based on the vitrinite reflectance-hydrocarbon generation potential index cross-plot and the vitrinite reflectance-shale oil saturation cross-plot.

[0010] In one possible implementation, the critical value of shale oil saturation is determined based on the vitrinite reflectance-hydrogenation potential index cross-plot and the vitrinite reflectance-shale oil saturation cross-plot, including: obtaining the inflection point of the hydrocarbon generation potential index in the vitrinite reflectance-hydrogenation potential index cross-plot and obtaining the vitrinite reflectance value corresponding to the inflection point; and determining the shale oil saturation value corresponding to the vitrinite reflectance value in the vitrinite reflectance-shale oil saturation cross-plot as the critical value of shale oil saturation.

[0011] In one possible implementation, determining the critical value of micro-transported hydrocarbons based on micro-transported hydrocarbon quantity, shale oil saturation, and the critical value of shale oil saturation includes: drawing a micro-transported hydrocarbon quantity-shale oil saturation cross-plot based on micro-transported hydrocarbon quantity and shale oil saturation; and determining the value of micro-transported hydrocarbon quantity corresponding to the critical value of shale oil saturation in the micro-transported hydrocarbon quantity-shale oil saturation cross-plot as the critical value of micro-transported hydrocarbon quantity.

[0012] In one possible implementation, determining the highest and lowest critical values ​​for shale hydrocarbon retention based on the total organic carbon content and the amount of hydrocarbons retained in shale includes: drawing a cross-plot of total organic carbon content and shale hydrocarbon retention based on the total organic carbon content and the amount of hydrocarbons retained in shale; and determining the highest and lowest critical values ​​for shale hydrocarbon retention based on the cross-plot of total organic carbon content and shale hydrocarbon retention.

[0013] In one possible implementation, the highest and lowest critical values ​​for shale retained hydrocarbons are determined based on the total organic carbon content-shale retained hydrocarbon cross-plot, including: identifying a first inflection point in the total organic carbon content-shale retained hydrocarbon cross-plot where the shale retained hydrocarbons change from a slow increase to a rapid increase as the total organic carbon content increases, and determining the value of the shale retained hydrocarbons corresponding to the first inflection point as the lowest critical value; and identifying a second inflection point in the total organic carbon content-shale retained hydrocarbon cross-plot where the shale retained hydrocarbons remain unchanged as the total organic carbon content increases, and determining the value of the shale retained hydrocarbons corresponding to the second inflection point as the highest critical value.

[0014] In one possible implementation, the amount of pyrolysis-soluble hydrocarbons is corrected to obtain the amount of hydrocarbons retained in the shale, and the formula is:

[0015] S 1c =S1×(1+K) 1h )

[0016]

[0017] In the formula, S 1c S1 represents the amount of hydrocarbons retained in shale, and K represents the amount of pyrolysis-soluble hydrocarbons. 1h C represents the coefficient of restitution. 1-14C represents the content of gaseous hydrocarbons and light liquid hydrocarbons in a gas chromatogram. 14+ This indicates the content of heavy hydrocarbons in the gas chromatogram.

[0018] In one possible implementation, the formula for calculating shale oil saturation based on total organic carbon content and shale retained hydrocarbons is as follows:

[0019]

[0020] In the formula, OSI represents the oil saturation of shale, and S 1C This indicates the amount of hydrocarbons retained in shale, while TOC represents the total organic carbon content.

[0021] In one possible implementation, the hydrocarbon generation potential index is calculated based on the total organic carbon content, the amount of pyrolytic soluble hydrocarbons, and the amount of pyrolytic hydrocarbons, using the following formula:

[0022]

[0023] In the formula, T represents the hydrocarbon generation potential index, S1 represents the amount of pyrolytic soluble hydrocarbons, S2 represents the amount of pyrolytic hydrocarbons, and TOC represents the total organic carbon content.

[0024] In one possible implementation, the amount of micro-transported hydrocarbons is calculated based on the total organic carbon content, the amount of pyrolysis hydrocarbons, and the highest pyrolysis peak temperature. This includes: calculating the current hydrogen index of the core based on the total organic carbon content and the amount of pyrolysis hydrocarbons; establishing an evolution model of the current hydrogen index of different types of kerogen with the highest pyrolysis peak temperature, and determining the hydrocarbon conversion rate corresponding to different highest pyrolysis peak temperatures based on the evolution model; obtaining the original hydrogen index based on the highest pyrolysis peak temperature and the hydrocarbon conversion rate; and determining the difference between the original hydrogen index and the current hydrogen index as the amount of micro-transported hydrocarbons.

[0025] In one possible implementation, the present hydrogen index of the core is calculated based on the total organic carbon content and the amount of pyrolytic hydrocarbons, using the following formula:

[0026]

[0027] In the formula, HI represents the current hydrogen index, S2 represents the amount of pyrolytic hydrocarbons, and TOC represents the total organic carbon content.

[0028] In one possible implementation, after identifying the sweet spot of shale oil, the method further includes: classifying shale oil resources into micro-migration enriched resources, stagnant enriched resources, and ineffective resources based on the sweet spot of the shale oil.

[0029] Secondly, embodiments of this application provide a shale oil-bearing and shale oil mobility classification and evaluation device based on micro-transportation, comprising:

[0030] The data receiving module is used to receive data from the data acquisition equipment, including the total organic carbon content, highest pyrolysis peak temperature, pyrolysis soluble hydrocarbon content, pyrolysis hydrocarbon content, and vitrinite reflectance of shale in any region.

[0031] The pyrolysis soluble hydrocarbon content correction module is used to correct the pyrolysis soluble hydrocarbon content to obtain the shale retained hydrocarbon content; the shale retained hydrocarbon content reflects the oil content of the shale.

[0032] The shale oil saturation calculation module is used to calculate the shale oil saturation based on the total organic carbon content and the amount of hydrocarbons retained in the shale; the shale oil saturation reflects the mobility of shale oil.

[0033] The micro-transport hydrocarbon calculation module is used to calculate the micro-transport hydrocarbon amount based on the total organic carbon content, pyrolysis hydrocarbon amount, and the highest pyrolysis peak temperature.

[0034] The hydrocarbon generation potential index calculation module is used to calculate the hydrocarbon generation potential index based on the total organic carbon content, pyrolytic soluble hydrocarbon content, and pyrolytic hydrocarbon content.

[0035] The shale oil saturation critical value determination module is used to determine the critical value of shale oil saturation based on vitrinite reflectance, hydrocarbon generation potential index and shale oil saturation.

[0036] The critical value determination module for micro-transported hydrocarbons is used to determine the critical value of micro-transported hydrocarbons based on the amount of micro-transported hydrocarbons, shale oil saturation, and the critical value of shale oil saturation.

[0037] The shale hydrocarbon retention threshold determination module is used to determine the highest and lowest threshold values ​​of shale hydrocarbon retention based on the total organic carbon content and shale hydrocarbon retention.

[0038] The sweet spot identification module is used to identify the sweet spot of shale oil based on the critical values ​​of shale oil saturation, micro-transport hydrocarbon content, and the highest and lowest critical values ​​of shale retained hydrocarbon content.

[0039] Thirdly, embodiments of this application provide an electronic device, including: a memory and a processor;

[0040] The memory stores computer-executed instructions;

[0041] The processor executes computer execution instructions stored in the memory, causing the processor to perform the first aspect and / or various possible implementations of the first aspect as described above.

[0042] Fourthly, embodiments of this application provide a computer-readable storage medium storing computer-executable instructions, which, when executed by a processor, are used to implement the first aspect and / or various possible implementations of the first aspect.

[0043] Fifthly, embodiments of this application provide a computer program product, including a computer program that, when executed by a processor, implements the first aspect and / or various possible implementations of the first aspect.

[0044] The method for evaluating the oil content and mobility of shale oil based on micro-transportation provided in this application corrects for the amount of pyrolysis soluble hydrocarbons to obtain the amount of shale retained hydrocarbons. Based on the total organic carbon content and the amount of shale retained hydrocarbons, the shale oil saturation is calculated. Based on the total organic carbon content, the amount of pyrolysis hydrocarbons, and the highest pyrolysis peak temperature, the amount of micro-transported hydrocarbons is calculated. The amount of shale retained hydrocarbons takes into account the loss of light hydrocarbons. The amount of shale retained hydrocarbons reflects the oil content of shale, while the shale oil saturation reflects the mobility of shale oil. The amount of micro-transported hydrocarbons can be used to determine whether hydrocarbon micro-transportation has occurred. Based on the highest and lowest critical values ​​of shale retained hydrocarbons, the critical value of shale oil saturation, and the critical value of micro-transported hydrocarbons, the distribution of high oil-bearing and mobility sweet spots in shale formations can be quantitatively identified, reducing the error in identifying sweet spot segments. Attached Figure Description

[0045] The accompanying drawings, which are incorporated in and form part of this specification, illustrate embodiments consistent with this application and, together with the description, serve to explain the principles of this application.

[0046] Figure 1 A schematic diagram illustrating a scenario for the micro-transport-based shale oil-bearing and shale oil mobility classification and evaluation method provided in this application embodiment;

[0047] Figure 2 A schematic flowchart illustrating the grading and evaluation method for shale oil-bearing capacity and shale oil mobility based on micro-transportation provided in this application embodiment;

[0048] Figure 3 A schematic diagram of the distribution layers of a dessert provided in an embodiment of this application;

[0049] Figure 4 A schematic diagram illustrating the division of shale oil sweet spots in Basin A and Depression B, provided in an embodiment of this application;

[0050] Figure 5 The vitrinite reflectance-hydrogenation potential index cross-plot and the vitrinite reflectance-shale oil saturation cross-plot provided for embodiments of this application;

[0051] Figure 6 This is a cross-plot of micro-transported hydrocarbons and shale oil saturation provided in an embodiment of this application.

[0052] Figure 7 The total organic carbon content-shale retained hydrocarbon content cross-plot provided for the application examples;

[0053] Figure 8A schematic diagram of the structure of the micro-transport-based shale oil-bearing and shale oil mobility classification and evaluation device provided in the embodiments of this application;

[0054] Figure 9 This is a schematic diagram of the structure of an electronic device provided in an embodiment of this application.

[0055] The accompanying drawings illustrate specific embodiments of this application, which will be described in more detail below. These drawings and descriptions are not intended to limit the scope of the concept in any way, but rather to illustrate the concept of this application to those skilled in the art through reference to particular embodiments. Detailed Implementation

[0056] Exemplary embodiments will now be described in detail, examples of which are illustrated in the accompanying drawings. When the following description relates to the drawings, unless otherwise indicated, the same numbers in different drawings denote the same or similar elements. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with this application. Rather, they are merely examples of apparatuses and methods consistent with some aspects of this application as detailed in the appended claims.

[0057] Figure 1 A schematic diagram illustrating a scenario for the micro-transport-based shale oil-bearing and shale oil mobility classification and evaluation method provided in this application embodiment, as shown below. Figure 1 As shown, it includes a receiving device 101, a processor 102, and a display device 103.

[0058] It is understood that the structures illustrated in the embodiments of this application do not constitute a specific limitation on the method for grading and evaluating the oil-bearing capacity and mobility of shale based on micro-transportation. In other feasible embodiments of this application, the above architecture may include more or fewer components than illustrated, or combine some components, or split some components, or arrange different components, which can be determined according to the actual application scenario and is not limited here. Figure 1 The components shown can be implemented in hardware, software, or a combination of both.

[0059] In the specific implementation process, the receiving device 101 can be an input / output interface or a communication interface, used to receive the total organic carbon content, highest pyrolysis peak temperature, pyrolysis soluble hydrocarbon content, pyrolysis hydrocarbon content and vitrinite reflectance of shale oil in any region sent by the data acquisition equipment.

[0060] The processor 102 can perform a series of processing on the total organic carbon content, the highest pyrolysis peak temperature, the amount of pyrolysis soluble hydrocarbons, the amount of pyrolysis hydrocarbons, and the vitrinite reflectance to obtain the critical values ​​of shale oil saturation, the critical values ​​of micro-transported hydrocarbons, and the highest and lowest critical values ​​of shale retained hydrocarbons, thereby identifying the sweet spot of shale oil.

[0061] Display device 103 can be used to display the sweet spot of shale oil.

[0062] It should be understood that the aforementioned processor can be implemented by reading instructions from memory and executing those instructions, or it can be implemented through chip circuitry.

[0063] As exploration of continental shale oil deepens, the mismatch between shale oil production and resource potential remains a pressing issue. Continental basins primarily develop matrix-type, interbedded, and mixed-sedimentary shale. The diverse source-reservoir combinations and the development of faults make it difficult to find highly mobile and hydrocarbon-rich sweet spots. Therefore, the evaluation of shale oil-bearing capacity and shale oil mobility has received significant attention. Existing technologies suffer from three main problems: 1) Most oil-bearing assessments are qualitative comparisons, with relatively few quantitative evaluations; 2) All methods for determining shale oil-bearing capacity through laboratory analysis inevitably suffer from severe light hydrocarbon loss during sample preservation and preparation; 3) Shale can serve as both a source rock and a reservoir, but previous methods neglected the impact of micro-migration effects on shale oil-bearing capacity and shale oil mobility, leading to errors in the evaluation of sweet spots.

[0064] To address the aforementioned technical problems, this application proposes the following technical concept: Obtaining the amount of shale-retained hydrocarbons, representing the oil-bearing nature of shale, taking into account the loss of light hydrocarbons; and obtaining the amount of pyrolytic soluble hydrocarbons by correcting for the amount of shale-retained hydrocarbons. Simultaneously, obtaining the shale oil saturation, representing the mobility of shale oil. Furthermore, considering the influence of micro-migration effects on the oil-bearing and mobility of shale oil, the amount of micro-migrated hydrocarbons is obtained. Based on the highest and lowest critical values ​​of shale-retained hydrocarbons, the critical value of shale oil saturation, and the critical value of micro-migrated hydrocarbons, the distribution of high-oil-bearing and highly mobile sweet spots in shale formations can be quantitatively identified, reducing the error in identifying sweet spot segments.

[0065] The technical solution of this application and how the technical solution of this application solves the above-mentioned technical problems are described in detail below with specific embodiments. These specific embodiments can be combined with each other, and the same or similar concepts or processes may not be described again in some embodiments. The embodiments of this application will be described below with reference to the accompanying drawings.

[0066] Figure 2 A flowchart illustrating the micro-transport-based shale oil-bearing and shale oil mobility classification and evaluation method provided in this application embodiment is shown below. Figure 2 As shown, the method includes:

[0067] S201: Receive data from the data acquisition equipment, including the total organic carbon content, highest pyrolysis peak temperature, pyrolysis soluble hydrocarbon content, pyrolysis hydrocarbon content, and vitrinite reflectance of shale in any region.

[0068] Shale oil refers to petroleum resources contained in shale formations, which are mainly composed of shale.

[0069] In this embodiment, the data acquisition equipment obtains the total organic carbon content, the highest pyrolysis peak temperature, the amount of pyrolysis soluble hydrocarbons, the amount of pyrolysis hydrocarbons, and the vitrinite reflectance through total organic carbon, pyrolysis, vitrinite reflectance experiments and oilfield field data.

[0070] Optionally, total organic carbon content is used to evaluate the organic matter abundance of shale oil, while the highest pyrolysis peak temperature and vitrinite reflectance characterize the degree of thermal evolution of the shale. For example, mudstone and shale cores were selected, and total organic carbon and pyrolysis analysis were performed to obtain the total organic carbon content, pyrolytic soluble hydrocarbon content, pyrolytic hydrocarbon content, and highest pyrolysis peak temperature of the mudstone and shale cores. A total of 5722 geochemical data points and 270 mudstone and shale core samples were obtained, and these data were statistically analyzed.

[0071] S202: Correct the amount of pyrolysis soluble hydrocarbons to obtain the amount of hydrocarbons retained in shale; the amount of hydrocarbons retained in shale reflects the oil content of shale.

[0072] All methods for determining the oil content of shale through laboratory analysis inevitably suffer from severe light hydrocarbon loss during sample preservation and preparation. Therefore, when quantitatively evaluating the oil content of shale, it is necessary to correct for the amount of pyrolysis soluble hydrocarbons.

[0073] Optionally, the total amount of pyrolysis hydrocarbons and shale-retained hydrocarbons, i.e., oil production potential, is used to evaluate the organic matter abundance of shale oil.

[0074] In this embodiment, the amount of pyrolytic soluble hydrocarbons represents oil content; however, light hydrocarbons are lost when the core sample is extracted from the ground. Therefore, recovery is necessary through a hydrocarbon generation thermal simulation experiment. Hydrocarbon products at equal temperatures can be collected through a hydrocarbon generation thermal simulation experiment, and the gaseous hydrocarbons (C1-5), light liquid hydrocarbons (C6-14), and heavy hydrocarbons (C14+) in the gas chromatogram can be quantitatively calculated.

[0075] Specifically, the formula for correcting the amount of pyrolysis-soluble hydrocarbons to obtain the amount of hydrocarbons retained in shale is:

[0076] S 1c =S1×(1+K) 1h )

[0077]

[0078] In the formula, S 1c S1 represents the amount of hydrocarbons retained in shale, and K represents the amount of pyrolysis-soluble hydrocarbons. 1h C represents the coefficient of restitution. 1-14 C represents the content of gaseous hydrocarbons and light liquid hydrocarbons in a gas chromatogram. 14+This indicates the content of heavy hydrocarbons in the gas chromatogram.

[0079] S203: Calculate the shale oil saturation based on the total organic carbon content and the amount of hydrocarbons retained in the shale; whereby the shale oil saturation reflects the mobility of shale oil.

[0080] In this embodiment, shale oil saturation represents mobility.

[0081] Specifically, the formula for calculating the oil saturation of shale based on the total organic carbon content and the amount of hydrocarbons retained in the shale is as follows:

[0082]

[0083] In the formula, OSI represents the oil saturation of shale, and S 1C This indicates the amount of hydrocarbons retained in shale, while TOC represents the total organic carbon content.

[0084] S204: Calculate the amount of micro-transported hydrocarbons based on the total organic carbon content, the amount of pyrolysis hydrocarbons, and the highest pyrolysis peak temperature.

[0085] Specifically, step S204 includes S2041 to S2044:

[0086] S2041: Calculate the current hydrogen index of the core based on the total organic carbon content and the amount of pyrolysis hydrocarbons.

[0087] Specifically, the formula for calculating the current hydrogen index of the core is:

[0088]

[0089] In the formula, HI represents the current hydrogen index, S2 represents the amount of pyrolytic hydrocarbons, and TOC represents the total organic carbon content.

[0090] S2042: Establish an evolution model of the current hydrogen index of different types of kerogen with the highest pyrolysis peak temperature, and determine the hydrocarbon conversion rate corresponding to different highest pyrolysis peak temperatures based on the evolution model.

[0091] Specifically, based on the current hydrogen index and the highest pyrolysis peak temperature of the core, a scatter plot of the current hydrogen index versus the highest pyrolysis peak temperature was plotted. Since there are differences in the organic matter types of shale, the organic matter types of shale were classified using the scatter plot of the current hydrogen index versus the highest pyrolysis peak temperature. Then, based on the data-driven model of kerogen hydrocarbon generation kinetics, numerical simulation software was used to establish an evolution model of the current hydrogen index of different types of kerogen with the highest pyrolysis peak temperature.

[0092] In this embodiment, the different types of kerogen include: Type I kerogen, Type II1 kerogen, Type II2 kerogen, and Type III kerogen.

[0093] Specifically, under the evolution model of the current hydrogen index of different types of kerogen with the highest pyrolysis peak temperature, the hydrocarbon conversion rates corresponding to different highest pyrolysis peak temperatures are:

[0094]

[0095] Where TR represents the hydrocarbon conversion rate, T max The highest pyrolysis peak temperature is represented. Formula 1 represents the hydrocarbon conversion rate corresponding to different highest pyrolysis peak temperatures of type I kerogen; Formula 2 represents the hydrocarbon conversion rate corresponding to different highest pyrolysis peak temperatures of type I1 kerogen; Formula 3 represents the hydrocarbon conversion rate corresponding to different highest pyrolysis peak temperatures of type II2 kerogen; and Formula 4 represents the hydrocarbon conversion rate corresponding to different highest pyrolysis peak temperatures of type III kerogen.

[0096] S2043: Obtain the original hydrogen index based on the highest pyrolysis peak temperature and hydrocarbon conversion rate.

[0097] In this embodiment, the original hydrogen index under different types of kerogen is:

[0098]

[0099] Among them, HI O T represents the original hydrogen index. max This indicates the highest pyrolysis peak temperature. Formula 5 is the original hydrogen index for type I kerogen; Formula 6 is the original hydrogen index for type I1 kerogen; Formula 7 is the original hydrogen index for type II2 kerogen; and Formula 8 is the original hydrogen index for type III kerogen.

[0100] S2044: The difference between the original hydrogen index and the current hydrogen index is determined as the amount of hydrocarbons transported.

[0101] Specifically, the formula for the amount of hydrocarbon transported in micro-transports is:

[0102] ΔQ=HI O -HI

[0103] In the formula, ΔQ represents the amount of hydrocarbon transported, HIo represents the original hydrogen index, and HI represents the current hydrogen index.

[0104] In this embodiment, the difference between the original hydrogen index and the current hydrogen index can be used to determine whether the shale is a receiving hydrocarbon unit (i.e., the amount of micro-transported hydrocarbons is less than 0) or a discharging hydrocarbon unit (i.e., the amount of micro-transported hydrocarbons is greater than 0).

[0105] S205: Calculate the hydrocarbon generation potential index based on the total organic carbon content, pyrolysis soluble hydrocarbon content, and pyrolysis hydrocarbon content.

[0106] Specifically, the hydrocarbon generation potential index is calculated based on the total organic carbon content, the amount of pyrolytic soluble hydrocarbons, and the amount of pyrolytic hydrocarbons. The formula is as follows:

[0107]

[0108] In the formula, T represents the hydrocarbon generation potential index, S1 represents the amount of pyrolytic soluble hydrocarbons, S2 represents the amount of pyrolytic hydrocarbons, and TOC represents the total organic carbon content.

[0109] S206: Determine the critical value of shale oil saturation based on vitrinite reflectance, hydrocarbon generation potential index, and shale oil saturation.

[0110] Optionally, since the critical values ​​for shale oil mobility vary in different regions, it is necessary to re-evaluate the critical values ​​for shale oil saturation in different regions.

[0111] Specifically, step S206 will be described in detail in subsequent embodiments.

[0112] S207: Determine the critical value of micro-transported hydrocarbons based on micro-transported hydrocarbons, shale oil saturation, and the critical value of shale oil saturation.

[0113] Specifically, step S207 will be described in detail in subsequent embodiments.

[0114] S208: Determine the highest and lowest critical values ​​for shale hydrocarbon retention based on the total organic carbon content and the amount of hydrocarbons retained in shale.

[0115] Specifically, step S208 will be described in detail in subsequent embodiments.

[0116] S209: Identify the sweet spot of shale oil based on the critical values ​​of shale oil saturation, micro-transport hydrocarbon content, and the highest and lowest critical values ​​of shale retained hydrocarbon content.

[0117] For example, the critical value for shale oil saturation is 82 mg / g TOC, the critical value for micro-transported hydrocarbons is -120 mg / g TOC, and the highest and lowest critical values ​​for shale retained hydrocarbons are 11.2 mg / g and 1.8 mg / g, respectively. Table 1 shows the distribution of sweet spots. As shown in Table 1, shale with retained hydrocarbons ranging from 1.8 mg / g to 11.2 mg / g, shale oil saturation greater than the critical value of 82 mg / g TOC, and micro-transported hydrocarbons less than the critical value of -120 mg / g TOC are classified as sweet spots (level I). Shale with retained hydrocarbons ranging from 1.8 mg / g to 11.2 mg / g, shale oil saturation greater than the critical value of 82 mg / g TOC, and micro-transported hydrocarbons greater than the critical value of -120 mg / g TOC are classified as sweet spots (level II). Shale with retained hydrocarbons less than 1.8 mg / g is classified as a non-sweet spot.

[0118] Table 1 Distribution of desserts

[0119] <![CDATA[S 1C (mg / g)]]> OSI (mg / g TOC) ΔQ(mg / g TOC) Dessert Level 1.8～11.2 >82 <-120 I 1.8～11.2 >82 >-120 II <1.8 / / Non-dessert segment

[0120] Optionally, after identifying the sweet spot of shale oil, shale oil resources can be classified into micro-migration enriched resources, stagnant enriched resources, and ineffective resources based on the sweet spot of shale oil.

[0121] Figure 3 This is a schematic diagram of the distribution layers of a dessert provided in an embodiment of this application. Figure 3 As shown, shale oil resources are divided into three regions according to the distribution level of the sweet spots. Regions corresponding to sweet spot level I are classified as micro-migration enriched resources, with high oil content and mobility of shale oil. Regions corresponding to sweet spot level II are classified as stagnant enriched resources, with low mobility of shale oil. Regions corresponding to non-sweet spots are classified as ineffective resources, with both low oil content and low mobility.

[0122] In this embodiment, the classification criteria take into account the sweet spot segment with low total organic carbon content but high shale residual hydrocarbon content and shale oil saturation.

[0123] In summary, by correcting for the amount of pyrolysis soluble hydrocarbons, the amount of hydrocarbons retained in shale is obtained. Based on the total organic carbon content and the amount of hydrocarbons retained in shale, the oil saturation of shale is calculated. Based on the total organic carbon content, the amount of pyrolysis hydrocarbons, and the highest pyrolysis peak temperature, the amount of micro-transported hydrocarbons is calculated. The amount of hydrocarbons retained in shale takes into account the loss of light hydrocarbons. The amount of hydrocarbons retained in shale reflects the oil content of shale, while the oil saturation of shale reflects the mobility of shale oil. The amount of micro-transported hydrocarbons can be used to determine whether hydrocarbons have undergone micro-transport. Based on the highest and lowest critical values ​​of the amount of hydrocarbons retained in shale, the critical value of the oil saturation of shale, and the critical value of the amount of micro-transported hydrocarbons, the distribution of high oil-bearing and mobile sweet spots in shale formations can be quantitatively identified, reducing the error in identifying sweet spot segments.

[0124] Optionally, the above-mentioned micro-migration-based shale oil-bearing and shale oil mobility classification evaluation method can be applied to the identification of sweet spot segments of shale oil in Basin A, Depression B. Figure 4 This is a schematic diagram illustrating the division of shale oil sweet spots in Basin A, Depression B, as provided in an embodiment of this application. Figure 4 As shown, it is divided into 5 Level I dessert sections and 3 Level II dessert sections.

[0125] Specifically, the method of this application reduces costs compared to the method of using two-dimensional nuclear magnetic resonance (NMR) to quantitatively evaluate the oil content and mobility of shale oil. On the one hand, NMR technology is expensive and therefore only suitable for the analysis and testing of typical samples, easily missing the sweet spot of shale oil; on the other hand, NMR technology involves operations such as saturating the sample, centrifugation, drying, and displacement, which are cumbersome and not suitable for widespread application.

[0126] Based on the above embodiments, this embodiment provides a detailed description of steps S206, S207, and S208, as detailed below:

[0127] S206: Determine the critical value of shale oil saturation based on vitrinite reflectance, hydrocarbon generation potential index, and shale oil saturation.

[0128] Specifically, step S206 includes S2061 to S2063:

[0129] S2061: Draw a cross-plot of vitrinite reflectance and hydrocarbon generation potential index based on vitrinite reflectance and hydrocarbon generation potential index.

[0130] Figure 5 The cross-plots of vitrinite reflectance-hydrogenation potential index and vitrinite reflectance-shale oil saturation provided for embodiments of this application. Figure 5 The left side of the graph is a cross-plot of vitrinite reflectance and hydrocarbon generation potential index, with the horizontal axis representing the hydrocarbon generation potential index and the vertical axis representing vitrinite reflectance.

[0131] S2062: Draw a cross-sectional diagram of vitrinite reflectance and shale oil saturation based on vitrinite reflectance and shale oil saturation.

[0132] Figure 5 The right-hand plot is a cross-plot of vitrinite reflectance and shale oil saturation, with the horizontal axis representing shale oil saturation and the vertical axis representing vitrinite reflectance.

[0133] S2063: Determine the critical value of shale oil saturation based on the cross-plot of vitrinite reflectance-hydrogenation potential index and the cross-plot of vitrinite reflectance-shale oil saturation.

[0134] Specifically, in the vitrinite reflectance-hydrogenation potential index cross-plot, the inflection point of the hydrocarbon generation potential index is obtained, and the vitrinite reflectance value corresponding to the inflection point is obtained; in the vitrinite reflectance-shale oil saturation cross-plot, the shale oil saturation value corresponding to the vitrinite reflectance value is determined as the critical value of shale oil saturation.

[0135] In this embodiment, the thermal maturity or burial depth at which hydrocarbons begin to migrate outward in a free state is defined as the hydrocarbon expulsion threshold, i.e., the inflection point of the hydrocarbon generation potential index. Figure 5 In the vitrinite reflectance-hydrogenation potential index cross-plot, point A is the inflection point of the hydrogenation potential index. Obtain the vitrinite reflectance value corresponding to point A. Figure 5 In the vitrinite reflectance-shale oil saturation cross-plot, the vitrinite reflectance value at point B is the same as the vitrinite reflectance value at point A. At this point, the shale oil saturation value at point B is 82 mg / g TOC, which means the critical value for shale oil saturation is 82 mg / g TOC.

[0136] S207: Determine the critical value of micro-transported hydrocarbons based on micro-transported hydrocarbons, shale oil saturation, and the critical value of shale oil saturation.

[0137] Specifically, step S207 includes S2071 to S2072:

[0138] S2071: Draw a cross-plot of micro-migrated hydrocarbons and shale oil saturation based on micro-migrated hydrocarbons and shale oil saturation.

[0139] Figure 6 This is a cross-plot of micro-transported hydrocarbons and shale oil saturation provided in an embodiment of this application. The horizontal axis represents micro-transported hydrocarbons, and the vertical axis represents shale oil saturation.

[0140] S2072: In the micro-transport hydrocarbon amount-shale oil saturation cross-plot, the value of micro-transport hydrocarbon amount corresponding to the critical value of shale oil saturation is determined as the critical value of micro-transport hydrocarbon amount.

[0141] For example, such as Figure 6 As shown in the cross diagram of micro-transported hydrocarbons and shale oil saturation, the intersection point of the critical value of shale oil saturation and the curve is C. The value of micro-transported hydrocarbons corresponding to point C is -120 mg / g TOC, that is, the critical value of micro-transported hydrocarbons is -120 mg / g TOC.

[0142] S208: Determine the highest and lowest critical values ​​for shale hydrocarbon retention based on the total organic carbon content and the amount of hydrocarbons retained in shale.

[0143] Specifically, step S208 includes S2081 to S2082:

[0144] S2081: Draw a cross-plot of total organic carbon content and shale retained hydrocarbons based on total organic carbon content and shale retained hydrocarbons.

[0145] Figure 7 The cross-plot of total organic carbon content and shale retained hydrocarbons provided in the application embodiment shows the total organic carbon content on the horizontal axis and the shale retained hydrocarbons on the vertical axis. The envelope line in the cross-plot is divided according to the amount of micro-transported hydrocarbons. The envelope line is a boundary curve drawn based on the positive or negative sign of micro-transported hydrocarbons in relation to the change in shale retained hydrocarbons with total organic carbon content when determining the critical value of shale oil content. Figure 7 As shown in the figure, the red data represents micro-transported hydrocarbons less than 0, mainly including shale with low total organic carbon content and high shale-retained hydrocarbon content.

[0146] S2082: Determine the highest and lowest critical values ​​for shale hydrocarbon retention based on the cross-sectional diagram of total organic carbon content and shale retained hydrocarbon content.

[0147] Specifically, in the cross-plot of total organic carbon content and shale retained hydrocarbons, the first inflection point is identified where the shale retained hydrocarbons change from a slow increase to a rapid increase as the total organic carbon content increases, and the value of the shale retained hydrocarbons corresponding to the first inflection point is determined as the minimum critical value; in the cross-plot of total organic carbon content and shale retained hydrocarbons, the second inflection point is identified where the shale retained hydrocarbons remain unchanged as the total organic carbon content increases, and the value of the shale retained hydrocarbons corresponding to the second inflection point is determined as the maximum critical value.

[0148] In this embodiment, as Figure 7 As shown, when the total organic carbon content is 1.2%, the increase in shale retained hydrocarbons changes from a slow increase to a rapid increase, at which point the retained hydrocarbon content is 1.8 mg / g, which is the minimum critical value of 1.8 mg / g. When the total organic carbon content is 4%, the increase in shale retained hydrocarbons remains unchanged, at which point the retained hydrocarbon content is 11.2 mg / g, which is the maximum critical value of 11.2 mg / g. At this point, the amount of oil generated is generally sufficient to meet the various residual needs of shale. When the abundance is higher, the oil content of shale reaches saturation, and excess oil is discharged. As the total organic carbon content further increases, the shale cannot accommodate more shale retained hydrocarbons and maintains a balance.

[0149] In summary, by drawing cross-plots of vitrinite reflectance-hydrogenation potential index, vitrinite reflectance-shale oil saturation, micro-migrated hydrocarbons-shale oil saturation, and micro-migrated hydrocarbons-shale oil saturation, cross-plots can graphically display multiple key data points, intuitively presenting their interrelationships. By observing the distribution patterns and trends of data points on the cross-plots, each critical value can be clearly determined, reducing the error in identifying sweet spots.

[0150] Figure 8 A schematic diagram of the structure of the shale oil-bearing and shale oil mobility classification and evaluation device based on micro-transportation provided in the embodiments of this application is shown below. Figure 8 As shown, the shale oil-bearing and shale oil mobility classification and evaluation device based on micro-transportation provided in this embodiment includes: a data receiving module 801, a pyrolysis soluble hydrocarbon content correction module 802, a shale oil saturation calculation module 803, a micro-transported hydrocarbon content calculation module 804, a hydrocarbon generation potential index calculation module 805, a shale oil saturation critical value determination module 806, a micro-transported hydrocarbon content critical value determination module 807, a shale retained hydrocarbon content critical value determination module 808, and a sweet spot identification module 809.

[0151] The data receiving module 801 is used to receive the total organic carbon content, highest pyrolysis peak temperature, pyrolysis soluble hydrocarbon content, pyrolysis hydrocarbon content, and vitrinite reflectance of shale in any region sent by the data acquisition equipment.

[0152] The pyrolysis soluble hydrocarbon content correction module 802 is used to correct the pyrolysis soluble hydrocarbon content to obtain the shale retained hydrocarbon content; the shale retained hydrocarbon content reflects the oil content of the shale.

[0153] Shale oil saturation calculation module 803 is used to calculate shale oil saturation based on total organic carbon content and shale residual hydrocarbon content; whereby shale oil saturation reflects the mobility of shale oil.

[0154] The micro-transport hydrocarbon calculation module 804 is used to calculate the micro-transport hydrocarbon amount based on the total organic carbon content, pyrolysis hydrocarbon amount and the highest pyrolysis peak temperature;

[0155] The hydrocarbon generation potential index calculation module 805 is used to calculate the hydrocarbon generation potential index based on the total organic carbon content, pyrolytic soluble hydrocarbon content, and pyrolytic hydrocarbon content.

[0156] The critical value determination module 806 for shale oil saturation is used to determine the critical value of shale oil saturation based on vitrinite reflectance, hydrocarbon generation potential index and shale oil saturation.

[0157] The critical value determination module 807 for micro-transported hydrocarbons is used to determine the critical value of micro-transported hydrocarbons based on the micro-transported hydrocarbons, shale oil saturation, and the critical value of shale oil saturation.

[0158] Shale Retained Hydrocarbons Critical Value Determination Module 808 is used to determine the highest and lowest critical values ​​of shale retained hydrocarbons based on the total organic carbon content and shale retained hydrocarbons.

[0159] The sweet spot identification module 809 is used to identify the sweet spot of shale oil based on the critical values ​​of shale oil saturation, micro-transported hydrocarbon content, and the highest and lowest critical values ​​of shale retained hydrocarbon content.

[0160] In one possible implementation, the critical value determination module 806 for shale oil saturation is specifically used to: draw a cross-plot of vitrinite reflectance and hydrocarbon generation potential index based on vitrinite reflectance and hydrocarbon generation potential index; draw a cross-plot of vitrinite reflectance and shale oil saturation based on vitrinite reflectance and shale oil saturation; and determine the critical value of shale oil saturation based on the cross-plot of vitrinite reflectance and hydrocarbon generation potential index and the cross-plot of vitrinite reflectance and shale oil saturation.

[0161] In one possible implementation, the critical value determination module 806 for shale oil saturation is further configured to obtain the inflection point of the hydrocarbon generation potential index in the vitrinite reflectance-hydrocarbon generation potential index cross-plot, and obtain the value of vitrinite reflectance corresponding to the inflection point; in the vitrinite reflectance-shale oil saturation cross-plot, the value of shale oil saturation corresponding to the value of vitrinite reflectance is determined as the critical value of shale oil saturation.

[0162] In one possible implementation, the critical value determination module 807 for micro-transported hydrocarbons is specifically used to: draw a cross-plot of micro-transported hydrocarbons and shale oil saturation based on the micro-transported hydrocarbons and shale oil saturation; and determine the value of micro-transported hydrocarbons corresponding to the critical value of shale oil saturation in the micro-transported hydrocarbons cross-plot as the critical value of micro-transported hydrocarbons.

[0163] In one possible implementation, the shale retained hydrocarbon threshold determination module 808 is specifically used to: draw a cross-plot of total organic carbon content and shale retained hydrocarbons based on the total organic carbon content and the shale retained hydrocarbons; and determine the highest and lowest threshold values ​​of shale retained hydrocarbons based on the cross-plot of total organic carbon content and shale retained hydrocarbons.

[0164] In one possible implementation, the shale retained hydrocarbon threshold determination module 808 is further configured to identify, in the total organic carbon content-shale retained hydrocarbon content cross-plot, the first inflection point where the shale retained hydrocarbon content changes from a slow increase to a rapid increase as the total organic carbon content increases, and to determine the value of the shale retained hydrocarbon content corresponding to the first inflection point as the minimum threshold value; and to identify, in the total organic carbon content-shale retained hydrocarbon content cross-plot, the second inflection point where the shale retained hydrocarbon content remains unchanged as the total organic carbon content increases, and to determine the value of the shale retained hydrocarbon content corresponding to the second inflection point as the maximum threshold value.

[0165] In one possible implementation, the formula for the pyrolytic soluble hydrocarbon content correction module 802 is:

[0166] S 1c =S1×(1+K) 1h )

[0167]

[0168] In the formula, S 1c S1 represents the amount of hydrocarbons retained in shale, and K represents the amount of pyrolysis-soluble hydrocarbons. 1h C represents the coefficient of restitution. 1-14 C represents the content of gaseous hydrocarbons and light liquid hydrocarbons in a gas chromatogram. 14+ This indicates the content of heavy hydrocarbons in the gas chromatogram.

[0169] In one possible implementation, the formula for the shale oil saturation calculation module 803 is:

[0170]

[0171] In the formula, OSI represents the oil saturation of shale, and S 1C This indicates the amount of hydrocarbons retained in shale, while TOC represents the total organic carbon content.

[0172] In one possible implementation, the formula for the hydrocarbon generation potential index calculation module 805 is:

[0173]

[0174] In the formula, T represents the hydrocarbon generation potential index, S1 represents the amount of pyrolytic soluble hydrocarbons, S2 represents the amount of pyrolytic hydrocarbons, and TOC represents the total organic carbon content.

[0175] In one possible implementation, the micro-transport hydrocarbon calculation module 804 is specifically used for: calculating the current hydrogen index of the core based on the total organic carbon content and the amount of pyrolysis hydrocarbons; establishing an evolution model of the current hydrogen index of different types of kerogen with the highest pyrolysis peak temperature, and determining the hydrocarbon conversion rate corresponding to different highest pyrolysis peak temperatures based on the evolution model; obtaining the original hydrogen index based on the highest pyrolysis peak temperature and hydrocarbon conversion rate; and determining the difference between the original hydrogen index and the current hydrogen index as the amount of micro-transport hydrocarbons.

[0176] In one possible implementation, the present hydrogen index of the core is calculated based on the total organic carbon content and the amount of pyrolytic hydrocarbons, using the following formula:

[0177]

[0178] In the formula, HI represents the current hydrogen index, S2 represents the amount of pyrolytic hydrocarbons, and TOC represents the total organic carbon content.

[0179] In one possible implementation, the shale oil-bearing and shale oil mobility classification and evaluation device based on micro-migration also includes a resource classification module, which classifies shale oil resources into micro-migration-type enriched resources, stagnant-type enriched resources, and ineffective resources according to the sweet spot of shale oil.

[0180] The micro-transport-based shale oil-bearing and shale oil mobility classification and evaluation device provided in this embodiment can perform the method provided in the above-mentioned method embodiment. Its implementation principle and technical effect are similar, and will not be described in detail here.

[0181] Figure 9 A schematic diagram of the structure of the electronic device provided in this application. Figure 9 As shown, the electronic device provided in this embodiment includes at least one processor 901 and a memory 902. Optionally, the electronic device further includes a communication component 903. The processor 901, memory 902, and communication component 903 are connected via a bus 904.

[0182] In a specific implementation, at least one processor 901 executes computer execution instructions stored in memory 902, causing at least one processor 901 to perform the above-described method.

[0183] The specific implementation process of processor 901 can be found in the above method embodiments, and its implementation principle and technical effect are similar. It will not be repeated here.

[0184] In the above embodiments, it should be understood that the processor can be a Central Processing Unit (CPU), or other general-purpose processors, digital signal processors (DSPs), application-specific integrated circuits (ASICs), etc. The general-purpose processor can be a microprocessor or any conventional processor. The steps of the method disclosed in this invention can be directly implemented by a hardware processor, or implemented by a combination of hardware and software modules within the processor.

[0185] The memory may include random access memory (RAM) and may also include non-volatile memory (NVM), such as at least one disk storage device.

[0186] The bus can be an Industry Standard Architecture (ISA) bus, a Peripheral Component Interconnect (PCI) bus, or an Extended Industry Standard Architecture (EISA) bus, etc. Buses can be categorized as address buses, data buses, control buses, etc. For ease of illustration, the buses shown in the accompanying drawings are not limited to a single bus or a single type of bus.

[0187] This application also provides a computer program product, including a computer program that, when executed by a processor, implements the above-described method.

[0188] This application also provides a computer-readable storage medium storing computer-executable instructions, which, when executed by a processor, implement the above-described method.

[0189] The aforementioned readable storage medium can be implemented by any type of volatile or non-volatile storage 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 storage, flash memory, magnetic disk, or optical disk. The readable storage medium can be any available medium accessible to a general-purpose or special-purpose computer.

[0190] An exemplary readable storage medium is coupled to a processor, enabling the processor to read information from and write information to the readable storage medium. Of course, the readable storage medium can also be a component of the processor. The processor and the readable storage medium can reside in an Application Specific Integrated Circuit (ASIC). Alternatively, the processor and the readable storage medium can exist as discrete components in the device.

[0191] The division of units is merely a logical functional division; in actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the coupling or direct coupling or communication connection shown or discussed may be indirect coupling or communication connection through some interfaces, devices, or units, and may be electrical, mechanical, or other forms.

[0192] The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the units can be selected to achieve the purpose of this embodiment according to actual needs.

[0193] In addition, the functional units in the various embodiments of the present invention can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit.

[0194] If a function is implemented as a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of this invention, or the part that contributes to the prior art, or a part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods of the various embodiments of this invention. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0195] Those skilled in the art will understand that all or part of the steps of the above-described method embodiments can be implemented by hardware related to program instructions. The aforementioned program can be stored in a computer-readable storage medium. When executed, the program performs the steps of the above-described method embodiments; and the aforementioned storage medium includes various media capable of storing program code, such as ROM, RAM, magnetic disks, or optical disks.

[0196] Finally, it should be noted that other embodiments of the invention will readily occur to those skilled in the art upon consideration of the specification and practice of the invention disclosed herein. This invention is intended to cover any variations, uses, or adaptations of the invention that follow the general principles of the invention and include common knowledge or customary techniques in the art not disclosed herein, and is not limited to the precise structures described above and shown in the accompanying drawings, and various modifications and changes can be made without departing from its scope. The scope of the invention is limited only by the appended claims.

Claims

1. A method for classifying and evaluating the oil-bearing capacity and mobility of shale based on micro-transportation, characterized in that, Applied to electronic devices, including: Receive data from the data acquisition equipment, including the total organic carbon content, highest pyrolysis peak temperature, pyrolysis soluble hydrocarbon content, pyrolysis hydrocarbon content, and vitrinite reflectance of shale in any region; The amount of pyrolysis soluble hydrocarbons is corrected to obtain the amount of hydrocarbons retained in the shale; wherein the amount of hydrocarbons retained in the shale reflects the oil content of the shale; The shale oil saturation is calculated based on the total organic carbon content and the shale retained hydrocarbon content; wherein the shale oil saturation reflects the mobility of shale oil. The amount of micro-transported hydrocarbons is calculated based on the total organic carbon content, the amount of pyrolysis hydrocarbons, and the highest pyrolysis peak temperature. The hydrocarbon generation potential index is calculated based on the total organic carbon content, the amount of pyrolytic soluble hydrocarbons, and the amount of pyrolytic hydrocarbons. The critical value of the shale oil saturation is determined based on the vitrinite reflectance, the hydrocarbon generation potential index, and the shale oil saturation. The critical value of the micro-transported hydrocarbon amount is determined based on the micro-transported hydrocarbon amount, the shale oil saturation, and the critical value of the shale oil saturation. Based on the total organic carbon content and the amount of hydrocarbons retained in the shale, determine the highest and lowest critical values ​​for the amount of hydrocarbons retained in the shale; Based on the critical values ​​of shale oil saturation, micro-transport hydrocarbon content, and the highest and lowest critical values ​​of shale retained hydrocarbon content, the sweet spot of shale oil is identified.

2. The method according to claim 1, characterized in that, The step of determining the critical value of shale oil saturation based on the vitrinite reflectance, the hydrocarbon generation potential index, and the shale oil saturation includes: Based on the vitrinite reflectance and the hydrocarbon generation potential index, a cross-plot of vitrinite reflectance and hydrocarbon generation potential index is drawn. Based on the vitrinite reflectance and the shale oil saturation, a vitrinite reflectance-shale oil saturation cross-plot was drawn; The critical value of shale oil saturation is determined based on the cross-plot of vitrinite reflectance-hydrogenation potential index and the cross-plot of vitrinite reflectance-shale oil saturation.

3. The method according to claim 2, characterized in that, The determination of the critical value of shale oil saturation based on the vitrinite reflectance-hydrogenation potential index cross-plot and the vitrinite reflectance-shale oil saturation cross-plot includes: In the intersection diagram of vitrinite reflectance and hydrocarbon generation potential index, the inflection point of the hydrocarbon generation potential index is obtained, and the value of vitrinite reflectance corresponding to the inflection point is obtained. In the vitrinite reflectance-shale oil saturation cross-plot, the value of shale oil saturation corresponding to the value of vitrinite reflectance is determined as the critical value of shale oil saturation.

4. The method according to claim 1, characterized in that, The step of determining the critical value of the micro-transported hydrocarbon amount based on the micro-transported hydrocarbon amount, the shale oil saturation, and the critical value of the shale oil saturation includes: Based on the micro-transported hydrocarbon amount and the shale oil saturation, draw a cross-plot of micro-transported hydrocarbon amount and shale oil saturation; In the micro-transported hydrocarbon quantity-shale oil saturation cross-plot, the value of micro-transported hydrocarbon quantity corresponding to the critical value of shale oil saturation is determined as the critical value of micro-transported hydrocarbon quantity.

5. The method according to claim 1, characterized in that, The determination of the highest and lowest critical values ​​of shale retained hydrocarbons based on the total organic carbon content and the shale retained hydrocarbon content includes: Based on the total organic carbon content and the amount of hydrocarbons retained in shale, draw a cross-plot of total organic carbon content and amount of hydrocarbons retained in shale; Based on the cross-sectional diagram of total organic carbon content and shale retained hydrocarbons, the highest and lowest critical values ​​of shale retained hydrocarbons are determined.

6. The method according to claim 5, characterized in that, The determination of the highest and lowest critical values ​​of shale retained hydrocarbons based on the total organic carbon content-shale retained hydrocarbon cross-section includes: In the total organic carbon content-shale retained hydrocarbon content cross-plot, the first inflection point is identified where the shale retained hydrocarbon content changes from a slow increase to a rapid increase as the total organic carbon content increases, and the value of the shale retained hydrocarbon content corresponding to the first inflection point is determined as the minimum critical value. In the cross-plot of total organic carbon content and shale retained hydrocarbons, identify the second inflection point where the shale retained hydrocarbons remain constant as the total organic carbon content increases, and determine the value of the shale retained hydrocarbons corresponding to the second inflection point as the highest critical value.

7. The method according to claim 1, characterized in that, The formula for correcting the amount of pyrolysis-soluble hydrocarbons to obtain the amount of hydrocarbons retained in shale is as follows: S 1c =S1×(1+K 1h ) In the formula, S 1c S1 represents the amount of hydrocarbons retained in the shale, and K represents the amount of pyrolysis-soluble hydrocarbons. 1h C represents the coefficient of restitution. 1-14 C represents the content of gaseous hydrocarbons and light liquid hydrocarbons in a gas chromatogram. 14+ This indicates the content of heavy hydrocarbons in the gas chromatogram.

8. The method according to claim 1, characterized in that, The formula for calculating the oil saturation of shale based on the total organic carbon content and the shale retained hydrocarbon content is as follows: In the formula, OSI represents the oil saturation of shale, and S 1C The amount of hydrocarbons retained in the shale is indicated by TOC, which represents the total organic carbon content.

9. The method according to claim 1, characterized in that, The formula for calculating the hydrocarbon generation potential index based on the total organic carbon content, the amount of pyrolytic soluble hydrocarbons, and the amount of pyrolytic hydrocarbons is as follows: In the formula, T represents the hydrocarbon generation potential index, S1 represents the amount of pyrolytic soluble hydrocarbons, S2 represents the amount of pyrolytic hydrocarbons, and TOC represents the total organic carbon content.

10. The method according to claim 1, characterized in that, The calculation of micro-transported hydrocarbons based on the total organic carbon content, the amount of pyrolytic hydrocarbons, and the highest pyrolysis peak temperature includes: Calculate the current hydrogen index of the core based on the total organic carbon content and the amount of pyrolysis hydrocarbons. An evolution model of the current hydrogen index of different types of kerogen with the highest pyrolysis peak temperature was established, and based on the evolution model, the hydrocarbon conversion rate corresponding to different highest pyrolysis peak temperatures was determined. The original hydrogen index is obtained based on the highest pyrolysis peak temperature and the hydrocarbon conversion rate. The difference between the original hydrogen index and the current hydrogen index is determined as the amount of micro-transported hydrocarbons.

11. The method according to claim 10, characterized in that, The formula for calculating the present hydrogen index of the core based on the total organic carbon content and the pyrolysis hydrocarbon content is as follows: In the formula, HI represents the current hydrogen index, S2 represents the amount of pyrolyzed hydrocarbons, and TOC represents the total organic carbon content.

12. The method according to any one of claims 1-11, characterized in that, After identifying the sweet spot of shale oil, the method further includes: Based on the sweet spot of the shale oil, shale oil resources are classified into micro-migration enriched resources, stagnant enriched resources, and ineffective resources.

13. A device for grading and evaluating the oil-bearing capacity and mobility of shale based on micro-transportation, characterized in that, Applied to electronic devices, including: The data receiving module is used to receive data from the data acquisition equipment, including the total organic carbon content, highest pyrolysis peak temperature, pyrolysis soluble hydrocarbon content, pyrolysis hydrocarbon content, and vitrinite reflectance of shale in any region. A pyrolysis soluble hydrocarbon content correction module is used to correct the pyrolysis soluble hydrocarbon content to obtain the shale retained hydrocarbon content; wherein the shale retained hydrocarbon content reflects the oil content of the shale; The shale oil saturation calculation module is used to calculate the shale oil saturation based on the total organic carbon content and the amount of hydrocarbons retained in the shale; wherein the shale oil saturation reflects the mobility of shale oil. The micro-transport hydrocarbon amount calculation module is used to calculate the micro-transport hydrocarbon amount based on the total organic carbon content, the pyrolysis hydrocarbon amount, and the highest pyrolysis peak temperature. The hydrocarbon generation potential index calculation module is used to calculate the hydrocarbon generation potential index based on the total organic carbon content, the amount of pyrolytic soluble hydrocarbons, and the amount of pyrolytic hydrocarbons. The shale oil saturation critical value determination module is used to determine the critical value of shale oil saturation based on the vitrinite reflectance, the hydrocarbon generation potential index and the shale oil saturation. The critical value determination module for micro-transported hydrocarbons is used to determine the critical value of the micro-transported hydrocarbons based on the micro-transported hydrocarbons, the shale oil saturation, and the critical value of the shale oil saturation. The shale retained hydrocarbon threshold determination module is used to determine the highest and lowest threshold values ​​of the shale retained hydrocarbon amount based on the total organic carbon content and the shale retained hydrocarbon amount. The sweet spot identification module is used to identify the sweet spot of shale oil based on the critical value of the shale oil saturation, the critical value of the micro-transported hydrocarbon amount, and the highest and lowest critical values ​​of the shale retained hydrocarbon amount.

14. An electronic device, characterized in that, include: Memory, processor; The memory stores computer-executed instructions; The processor executes computer execution instructions stored in the memory, causing the processor to perform the method as described in any one of claims 1-12.

15. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores computer-executable instructions, which, when executed by a processor, are used to implement the method as described in any one of claims 1-12.

16. A computer program product, characterized in that, Includes a computer program that, when executed by a processor, implements the method described in any one of claims 1-12.

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