Methods, apparatus, media, and program products for predicting shale oil resource volumes

By conducting pyrolysis experiments on shale samples in both open and closed environments, and combining these experiments with correction coefficients, the problem of large prediction errors in shale oil resource estimates in existing technologies has been solved, resulting in more accurate resource estimates.

CN120539203BActive Publication Date: 2026-07-21CHINA UNIV OF PETROLEUM (BEIJING)
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
CHINA UNIV OF PETROLEUM (BEIJING)
Filing Date
2025-04-23
Publication Date
2026-07-21

AI Technical Summary

Technical Problem

In existing technologies, shale oil resource prediction methods suffer from significant discrepancies between predicted and actual values ​​due to the influence of sampling, transportation, and processing during pyrolysis experiments.

Method used

By segmenting shale samples and conducting pyrolysis experiments in both open and closed environments, the amount of free hydrocarbons under different conditions was obtained. Then, by using correction coefficients to comprehensively consider the effects of storage time, pyrolysis environment, and particle size, the shale oil resource quantity was finally predicted.

Benefits of technology

It improves the accuracy of shale oil resource prediction, reduces errors caused by environmental and time factors, and achieves more accurate resource estimation.

✦ Generated by Eureka AI based on patent content.

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Abstract

Embodiments of the present application provide a method, device, medium and program product for predicting shale oil resource quantity. Embodiments of the present application relate to the technical field of oil and gas exploration. The method comprises: obtaining a first shale sample; performing a segmentation operation on the first shale sample to obtain a first broken sample and a second broken sample; performing a breaking operation on the first broken sample and the second broken sample according to a first set particle size to obtain a first powder sample and a second powder sample; performing a pyrolysis experiment on the first powder sample in an open environment; obtaining a first free hydrocarbon quantity; performing a pyrolysis experiment on the second powder sample in a closed environment to obtain a second free hydrocarbon quantity; and predicting a shale oil resource quantity according to the first free hydrocarbon quantity and the second free hydrocarbon quantity. The method is used to improve the accuracy of predicting the shale oil resource quantity.
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Description

Technical Field

[0001] This application relates to the field of oil and gas exploration, and in particular to a method, equipment, medium, and program product for predicting shale oil resources. Background Technology

[0002] Shale oil refers to petroleum resources stored in rock formations dominated by shale. Shale oil resources are enormous; therefore, their development is of great significance for energy security. To formulate shale oil development strategies, it is necessary to conduct geological exploration of the shale oil fields in advance, and then predict the resource volume of shale oil based on the exploration results.

[0003] Current methods for predicting shale oil resources involve conducting conventional pyrolysis experiments on collected shale to obtain the liquid hydrocarbon content per unit mass of shale, and then using this content to predict the shale oil resource quantity. However, due to the influence of sampling, transportation, and processing, the liquid hydrocarbon content obtained from pyrolysis experiments often deviates from the actual underground value, leading to a discrepancy between the predicted and actual shale oil resource quantities. Summary of the Invention

[0004] This application provides methods, equipment, media, and program products for predicting shale oil resources, thereby improving the accuracy of shale oil resource prediction.

[0005] In a first aspect, embodiments of this application provide a method for predicting shale oil resources, comprising: obtaining a first shale sample;

[0006] The first shale sample is segmented to obtain a first fragmented sample and a second fragmented sample.

[0007] The first crushed sample and the second crushed sample are crushed according to the first set particle size to obtain the first powder sample and the second powder sample.

[0008] In an open environment, a pyrolysis experiment was conducted on the first powder sample to obtain a first free hydrocarbon content; in a closed environment, a pyrolysis experiment was conducted on the second powder sample to obtain a second free hydrocarbon content.

[0009] Shale oil resources are predicted based on the first and second free hydrocarbon quantities.

[0010] In one possible implementation, the first free hydrocarbon content includes a third free hydrocarbon content and a fourth free hydrocarbon content, and a pyrolysis experiment is performed on the first powder sample; obtaining the first free hydrocarbon content includes:

[0011] Obtain a third powder sample and a fourth powder sample from the first powder sample;

[0012] After the third powder sample is placed for a first set time, a pyrolysis experiment is performed on the third powder sample according to a first set temperature range to obtain the third free hydrocarbon content.

[0013] After the fourth powder sample is placed for a second set time, a pyrolysis experiment is performed on the fourth powder sample according to the first set temperature range to obtain the fourth free hydrocarbon content.

[0014] In one possible implementation, a pyrolysis experiment is performed on the second powder sample to obtain a second free hydrocarbon content, including:

[0015] After the second powder sample is placed for a first set time, a pyrolysis experiment is performed on the second powder sample according to a first set temperature range to obtain the second free hydrocarbon content.

[0016] In one possible implementation, the method for predicting shale oil resources further includes: obtaining a second shale sample;

[0017] The second shale sample was crushed to obtain a crushed test sample.

[0018] The broken test sample was subjected to pyrolysis experiments in multiple temperature ranges to obtain the free hydrocarbons corresponding to each temperature range.

[0019] Each tested free hydrocarbon was subjected to chromatographic analysis to obtain the gas chromatograms corresponding to each of the temperature ranges.

[0020] The gas chromatogram that is most similar to the preset chromatogram is identified as the target chromatogram.

[0021] The temperature range corresponding to the target chromatogram is determined as the first set temperature range.

[0022] In one possible implementation, the method for predicting shale oil resources further includes: obtaining a shale oil sample corresponding to the second shale sample;

[0023] The shale oil sample was subjected to gas chromatography analysis to obtain the preset chromatogram.

[0024] In one possible implementation, the method for predicting shale oil resources further includes: obtaining a third shale sample;

[0025] The porosity of the third shale sample was measured to obtain the first porosity corresponding to the third shale sample;

[0026] The third shale sample was crushed to obtain test samples with different particle sizes;

[0027] Porosity detection is performed on each of the test samples to obtain the second porosity corresponding to each of the test samples.

[0028] The target porosity corresponds to the particle size of the test sample, which is determined as the first set size; the target porosity is the second porosity with the smallest difference from the first porosity.

[0029] In one possible implementation, before predicting shale oil resources based on the first free hydrocarbon quantity and the second free hydrocarbon quantity, the method further includes:

[0030] The first shale sample was segmented to obtain a third fragmented sample;

[0031] The third crushed sample is crushed according to the second set particle size to obtain a fifth powder sample;

[0032] After the fifth powder sample is placed for a first set time, a pyrolysis experiment is performed on the fifth powder sample in an open environment according to a first set temperature range to obtain the fifth free hydrocarbon content.

[0033] The correction coefficient is obtained based on the first free hydrocarbon quantity, the second free hydrocarbon quantity, and the fifth free hydrocarbon quantity;

[0034] The preset sixth free hydrocarbon content is corrected using the correction coefficient to obtain the predicted free hydrocarbon content; wherein, the sixth free hydrocarbon content is obtained by conducting a pyrolysis experiment on the test sample in an open environment after placing the test sample with a first set particle size for a first set time, according to a second set temperature range.

[0035] The amount of shale oil resources is predicted based on the predicted amount of free hydrocarbons.

[0036] Secondly, embodiments of this application provide an electronic device, including: a memory and a processor;

[0037] The memory stores computer-executed instructions;

[0038] 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.

[0039] Thirdly, 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.

[0040] Fourthly, 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.

[0041] The method, equipment, medium, and program products for predicting shale oil resources provided in this application involve crushing a first shale sample into a first powder sample and a second powder sample. Then, pyrolysis experiments are conducted on the first powder sample in an open environment and on the second powder sample in a closed environment. This allows for the understanding of the impact of different pyrolysis experimental environments on the amount of free hydrocarbons. Finally, the shale oil resource quantity is predicted based on the first and second free hydrocarbon quantities. In other words, by comprehensively considering the impact of the pyrolysis experimental environment on the free hydrocarbon quantity, the shale oil resource quantity is predicted, achieving a more accurate prediction. Attached Figure Description

[0042] 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.

[0043] Figure 1 A flowchart illustrating the method for predicting shale oil resources provided in this application;

[0044] Figure 2 A flowchart illustrating the method for obtaining a first set temperature range provided in an embodiment of this application;

[0045] Figure 3 A flowchart illustrating the method for obtaining the first set size provided in this application;

[0046] Figure 4 This is a flowchart illustrating the method for predicting shale oil resources provided in this embodiment;

[0047] Figure 5 A schematic diagram of the structure of the electronic device provided in this application.

[0048] 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

[0049] 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.

[0050] Current methods for predicting shale oil resources typically involve conducting pyrolysis experiments on collected shale to determine the liquid hydrocarbon content per unit mass of shale, and then using this liquid hydrocarbon content to predict the shale oil resource quantity. However, current pyrolysis temperatures are usually around 300 degrees Celsius, while the actual ambient temperature of shale is only 120 to 150 degrees Celsius. Furthermore, before pyrolysis experiments, shale is typically crushed into powder of a certain size, such as 200 mesh, with the size of the crushed shale ranging from 0.07 mm to 0.15 mm. However, in actual shale oil extraction, the crushed shale is often in centimeter- to meter-sized blocks. Additionally, before pyrolysis experiments, the shale loses a significant amount of light hydrocarbons due to processes such as hoisting from the well to the surface, transportation, pre-experiment crushing, and long-term storage. Moreover, in an open environment, gases produced during pyrolysis can directly escape from the shale sample, resulting in a lower-than-expected free hydrocarbon content. Therefore, the amount of free hydrocarbons measured in pyrolysis experiments is definitely less than the amount of free hydrocarbons in actual underground shale. Consequently, directly predicting shale oil resources based on the free hydrocarbons obtained from existing pyrolysis experiments will lead to a significant discrepancy between the predicted and actual shale oil resources.

[0051] To reduce the discrepancy between predicted and actual shale oil resources, this application provides a method for predicting shale oil resources. By conducting pyrolysis experiments on shale samples in both open and closed environments, the impact of open and closed environments on the amount of free hydrocarbons can be determined, thereby enabling a more accurate estimation of shale oil resources.

[0052] 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 now be described with reference to the accompanying drawings.

[0053] Figure 1 A flowchart illustrating the method for predicting shale oil resources provided in this application is shown below. Figure 1 As shown, the method includes:

[0054] Step S101: Obtain the first shale sample.

[0055] Specifically, the first shale sample was taken from a site where shale oil extraction was planned.

[0056] Step S102: Perform a segmentation operation on the first shale sample to obtain a first fragmented sample and a second fragmented sample.

[0057] The first shale sample can be divided into a first fragmented sample and a second fragmented sample. Alternatively, the first fragmented sample and the second fragmented sample can be separated from the first shale sample. The sum of the weights of the first fragmented sample and the second fragmented sample is less than or equal to the weight of the first shale sample. The weight of the first fragmented sample may or may not be equal to the weight of the second fragmented sample.

[0058] By segmenting the first shale sample, a first fragmented sample and a second fragmented sample were obtained. This facilitated subsequent comparative experiments in closed and open environments on the first and second fragmented samples, respectively, to understand the effects of closed and open environments on free hydrocarbons.

[0059] Step S103: Perform crushing operations on the first crushed sample and the second crushed sample according to the first set particle size to obtain the first powder sample and the second powder sample.

[0060] In some embodiments, the first fragmented sample is fragmented in an open environment, and the second fragmented sample is fragmented in a closed environment. Further, in a closed environment, the second fragmented sample is subjected to liquid nitrogen cryogenic fragmentation.

[0061] Because free hydrocarbons in shale are volatile compounds, when shale is crushed, the increased surface area allows for the release of these hydrocarbons. If shale crushing occurs in an open environment, the free hydrocarbons escape directly into the air, making collection difficult. However, if the crushing operation is performed in a closed system, the free hydrocarbons will escape into the confined environment, making collection easier. Furthermore, free hydrocarbons in shale are more likely to escape when temperatures rise or pressures decrease; therefore, cryogenic crushing of the second crushed sample with liquid nitrogen can further reduce the escape of free hydrocarbons.

[0062] Step S104: Obtain the third powder sample and the fourth powder sample from the first powder sample.

[0063] The first powder sample can be divided into two equal parts, with one part used as the third powder sample and the other as the fourth powder sample. Alternatively, the third and fourth powder samples can be obtained from the first powder sample according to a set weight.

[0064] The weight of the third powder sample is the same as that of the fourth powder sample. The sum of the weights of the third and fourth powder samples is less than or equal to the weight of the first powder sample.

[0065] Here, in order to conduct a control experiment on the storage time, the first powder sample was divided into a third powder sample and a fourth powder sample, so as to keep the variables other than storage time the same, and thus more accurately understand the effect of storage time on the amount of free hydrocarbons in shale.

[0066] Step S105: After placing the third powder sample for a first set time, conduct a pyrolysis experiment on the third powder sample in an open environment according to the first set temperature range to obtain the third free hydrocarbon content.

[0067] The first set time can be 0 hours, meaning the pyrolysis experiment on the third powder sample can be performed immediately. It can also be any time less than 72 hours.

[0068] Step S106: After placing the fourth powder sample for a second set time, conduct a pyrolysis experiment on the fourth powder sample in an open environment according to the first set temperature range to obtain the fourth free hydrocarbon content.

[0069] The second set time is, for example, 72 hours, or three days.

[0070] It is evident that the pyrolysis conditions for the third and fourth powder samples were identical, except for the storage time; the pyrolysis temperature, particle size, and experimental environment were all the same. Specifically, the pyrolysis temperature was within the first predetermined temperature range, the particle size was the first predetermined size, and the experimental environment was an open environment. The pyrolysis experiments on the third and fourth powder samples constituted a control experiment based on storage time. The relationship between the free hydrocarbon content of the third and fourth samples reveals the impact of storage time on the free hydrocarbon content within the shale.

[0071] Step S107: After placing the second powder sample for a first set time, conduct a pyrolysis experiment on the second powder sample in an open environment according to the first set temperature range to obtain the second free hydrocarbon content.

[0072] The gram weight of the second powder sample was the same as that of the third powder sample. This indicates that the pyrolysis conditions for both the third and second powder samples were identical, except for the experimental environment; the pyrolysis temperature, storage time, and particle size were all the same. Specifically, the pyrolysis temperature was within the first set temperature range, the storage time was the first set time, and the particle size was the first set size. Therefore, the pyrolysis experiments on the third and second powder samples constituted a control experiment of the experimental environment. The relationship between the second and third free hydrocarbon contents reveals the influence of the experimental gold on the free hydrocarbon content within the shale.

[0073] Step S108: Predict shale oil resources based on the third, fourth, and second free hydrocarbon quantities.

[0074] Specifically, the time recovery coefficient is obtained based on the third and fourth free hydrocarbon quantities. The oil content per unit volume of shale is obtained through the second free hydrocarbon quantity, and the quality of the shale per unit volume is corrected using the time recovery coefficient to obtain the shale oil resource quantity.

[0075] The ratio between the third and fourth free hydrocarbon quantities can be determined as the time recovery coefficient.

[0076] The method for predicting shale oil resources provided in this application involves breaking a first shale sample into a first powder sample and a second powder sample. The first powder sample is then subjected to pyrolysis in an open environment, while the second powder sample is subjected to pyrolysis in a closed environment. This allows for the determination of the impact of different pyrolysis environments on the amount of free hydrocarbons. Furthermore, the first powder sample is divided into a third powder sample and a fourth powder sample, and these samples are left to stand for different periods before undergoing pyrolysis experiments. This allows for the determination of the impact of standing time on the amount of free hydrocarbons. Finally, the amount of free hydrocarbons obtained from the pyrolysis experiments on the shale samples under different conditions is used to predict the shale oil resource quantity. Thus, this method considers not only the impact of standing time on the amount of free hydrocarbons but also the impact of the pyrolysis environment, thereby enabling a more accurate prediction of shale oil resources.

[0077] Figure 2 This is a flowchart illustrating a method for obtaining a first set temperature range provided in an embodiment of this application. Figure 2 As shown, in this embodiment... Figure 1 Based on the embodiments, the method for obtaining the first set temperature range will be described in detail below. The method for obtaining the first set temperature range may include the following steps:

[0078] Step S201: Obtain the second shale sample.

[0079] The second shale sample was taken from the same location as the first shale sample, which was also collected from a site where shale oil extraction was planned.

[0080] Step S202: The second shale sample is crushed to obtain a crushed test sample.

[0081] Specifically, there are no restrictions on the crushing environment of the second shale sample; it can be crushed in an open environment or a closed environment. There are also no restrictions on the particle size of the crushed test sample.

[0082] Step S203: Perform pyrolysis experiments on the broken test sample according to multiple set temperature ranges to obtain the test free hydrocarbons corresponding to each temperature range.

[0083] Specifically, the broken test sample was divided into several equal parts. A pyrolysis experiment was then conducted on each part of the broken test sample according to several predetermined temperature ranges.

[0084] The highest temperature within this temperature range is less than or equal to 300 degrees Celsius. Since free hydrocarbons are already present in the pores of shale, they are easily extracted. Therefore, by conducting pyrolysis experiments on shale at a maximum temperature not exceeding 300 degrees Celsius, free hydrocarbons can be extracted from shale without needing to select higher temperatures, thus reducing energy waste.

[0085] Temperature ranges are, for example, 150°C, (150°C, 200°C), (200°C, 250°C), (250°C, 300°C), or (300°C, 350°C).

[0086] Perform pyrolysis experiments for a set duration within each temperature range. The set duration is, for example, 6 minutes.

[0087] Different types of hydrocarbons require different pyrolysis temperatures. For example, at 150 degrees Celsius, only very light hydrocarbons, such as methane and ethane, can be extracted. As the pyrolysis temperature increases, more hydrocarbons will be extracted. Therefore, by conducting pyrolysis experiments on broken test samples at different pyrolysis temperatures, different types of hydrocarbons can be extracted.

[0088] Step S204: Perform chromatographic analysis on each tested free hydrocarbon to obtain gas chromatograms corresponding to each temperature range.

[0089] Since the free hydrocarbons extracted in each temperature range are different, the type of free hydrocarbon can be determined by performing chromatographic analysis on each free hydrocarbon separately.

[0090] Step S205: Determine the gas chromatogram that is most similar to the preset chromatogram as the target chromatogram.

[0091] The preset chromatogram is that of the target shale oil. The target shale oil was obtained from the sampling site of the second shale sample.

[0092] The comparison between the gas chromatogram and the preset chromatogram includes comparisons based on chromatographic morphology, number of main peaks, morphology of the C27, C28, and C29 lines, and plant growth ratio.

[0093] Step S206: Determine the temperature range corresponding to the target chromatogram as the first set temperature range.

[0094] The method for obtaining a first predetermined temperature range provided in this embodiment involves conducting pyrolysis experiments on shale at different temperature ranges to obtain different types of test free hydrocarbons. Then, gas chromatograms of the test free hydrocarbons are obtained, and these gas chromatograms are compared with preset chromatograms. The gas chromatogram most similar to the preset chromatogram is determined as the target chromatogram, and the temperature range corresponding to the target chromatogram is taken as the first temperature range. Since the preset chromatogram is the chromatogram of the target shale oil, and the target shale oil is obtained from the sampling site of the second shale sample, the comparison between the gas chromatogram and the preset chromatogram can determine which type of test free hydrocarbon is most similar to the hydrocarbons of the target shale oil. This allows for determining which temperature range to use for pyrolysis of the shale to obtain free hydrocarbons most similar to those in reality.

[0095] Figure 3 This is a flowchart illustrating the method for obtaining the first set size provided in this application. Figure 3 As shown, in this embodiment... Figure 1 Based on the embodiments, the method for obtaining the first predetermined size will be described in detail below. The method for obtaining the first predetermined size may include the following steps:

[0096] Step S301: Obtain the third shale sample.

[0097] Similarly, the sampling site for the third shale sample was the same as that for the first shale sample, which was also obtained from a location where shale oil extraction was planned.

[0098] Step S302: Perform porosity detection on the third shale sample to obtain the first porosity corresponding to the third shale sample.

[0099] Step S303: The third shale sample is crushed to obtain test samples with different particle sizes.

[0100] Since shale is a fine-grained sedimentary rock, when shale is subjected to mechanical forces, its original microstructure is destroyed, resulting in new cracks and open spaces, which in turn causes changes in porosity.

[0101] Step S304: Perform porosity detection on each test sample to obtain the second porosity corresponding to each test sample.

[0102] By performing porosity testing on each test sample, the porosity of each test sample can be determined, that is, the second porosity corresponding to each test sample.

[0103] Step S305: The particle size of the test sample corresponding to the target porosity is determined as the first set size; the target porosity is the second porosity with the smallest difference from the first porosity.

[0104] Porosity refers to the percentage of pore volume in a rock relative to its total volume, and free hydrocarbons are stored in the pores of shale. Therefore, porosity affects free hydrocarbon saturation. Free hydrocarbon saturation refers to the proportion of pore space occupied by free hydrocarbons in shale. That is, the higher the porosity, the more free hydrocarbons the shale can hold; generally, shale with greater porosity usually contains more free hydrocarbons. Since the grain size of shale affects its porosity, it is necessary to select shale grain sizes to reduce the difference between its porosity and that of the shale at the sampling site, thereby more accurately detecting the free hydrocarbon content and facilitating more accurate prediction of shale oil resources.

[0105] The method for obtaining a first predetermined size provided in this embodiment involves obtaining a first porosity by performing a pre-porosity test on a third shale sample, then crushing the third shale sample into test samples of different particle sizes, and performing a second porosity test on the test samples to obtain a second porosity. The first porosity and the second porosity are then compared to determine the second porosity with the smallest difference from the first porosity. Finally, the particle size corresponding to the second porosity with the smallest difference is determined as the first predetermined size. This ensures that the test sample of the first predetermined size has the smallest difference between its porosity and the first porosity, meaning that the porosity of the test sample of the first predetermined size is closest to the porosity of the shale at the sampling site.

[0106] Figure 4 This is a flowchart illustrating the method for predicting shale oil resources provided in this embodiment. Figure 4 As shown, in this embodiment... Figure 1 Based on the examples, a detailed explanation is provided on predicting shale oil resources based on the third, fourth, and second free hydrocarbon quantities. The method for predicting shale oil resources may include the following steps:

[0107] Step S401: Perform a segmentation operation on the first shale sample to obtain the third fragmented sample.

[0108] Step S402: The first crushed sample is crushed according to the second set particle size to obtain the fifth powder sample.

[0109] Specifically, the second set particle size is, for example, 200 mesh or 0.1 mm. That is, the degree of shale fragmentation in existing pyrolysis experiments.

[0110] Step S403: After placing the fifth powder sample for a first set time, conduct a pyrolysis experiment on the fifth powder sample in an open environment according to the first set temperature range to obtain the fifth free hydrocarbon content.

[0111] Thus, the pyrolysis conditions for the fifth and third powder samples were identical, except for the particle size difference; the pyrolysis temperature, experimental environment, and storage time were all the same. Specifically, the pyrolysis temperature was within the first set temperature range, the storage time was the first set time, and the experimental environment was an open environment. Therefore, the pyrolysis experiments on the third and fifth powder samples constituted a control experiment based on particle size. The relationship between the free hydrocarbon content of the third and fifth samples reveals the influence of particle size on the free hydrocarbon content.

[0112] Step S404: Obtain correction coefficients based on the third, fourth, second, and fifth free hydrocarbon quantities.

[0113] Specifically, the ratio between the third and fourth free hydrocarbon amounts can be determined as the time influence coefficient. The ratio between the third and second free hydrocarbon amounts can be determined as the environmental influence coefficient, and the ratio between the third and fifth free hydrocarbon amounts can be determined as the particle size influence coefficient. The product of the time influence coefficient, the environmental influence coefficient, and the particle size influence coefficient is determined as the correction coefficient.

[0114] Step S405: Correct the preset sixth free hydrocarbon quantity using a correction coefficient to obtain the predicted free hydrocarbon quantity. The sixth free hydrocarbon quantity is obtained by conducting a pyrolysis experiment on a test sample with a first set particle size in an open environment after placing it for a first set time, according to a second set temperature range. The test sample with the first set particle size is obtained by crushing a third shale sample, which will not be described further here.

[0115] Specifically, the relationship between the sixth free hydrocarbon content and the correction factor satisfies the formula: S 预测 =(K 开闭 ×K 粒级 ×K 时间 )×S6;S 预测 To predict the free hydrocarbon content after correcting the preset sixth free hydrocarbon content using a correction factor; K 开闭 K represents the environmental impact coefficient. 粒级 K is the particle size influence coefficient. 时间 S6 represents the time-dependent effect coefficient and the sixth free hydrocarbon content.

[0116] Current technologies all rely on a pre-defined sixth free hydrocarbon quantity to predict shale oil resources. To achieve more accurate predictions of shale oil resources at specific locations, shale samples are obtained from different coordinates at the shale oil site, resulting in multiple sixth free hydrocarbon quantities. By obtaining correction coefficients based on the third, fourth, second, and fifth free hydrocarbon quantities, these coefficients can be used to correct for each sixth free hydrocarbon quantity, thus achieving an accurate prediction of shale oil resources at the shale oil site.

[0117] Step S406: Predict shale oil resources based on the predicted free hydrocarbon content.

[0118] Specifically, the small-area method is used to calculate shale oil resources. According to the rules of the small-area method, the sampling area is divided into n small areas. Then, the shale oil resource Q of the i-th small area is calculated. i Satisfy the following formula:

[0119] Q i =A i ×h i ×ρ×S 预测 Q i Let S represent the shale oil resource quantity of the i-th small element. 预测 To predict the amount of free hydrocarbons, the unit is mg / g. A i Let be the area of ​​the i-th small shale element, in km². 2 h i ρ is the thickness of the shale in the i-th small facet, in meters; ρ is the density of the shale, in g / cm³. 3 i is the index of the facet, and n is the total number of facets. The value of i ranges from [1, n].

[0120] Therefore, the total shale oil resources in the sampling area satisfy the formula: .

[0121] The method for predicting shale oil resources provided in this disclosure involves placing a fifth powder sample with a second predetermined particle size for a first predetermined time, followed by a pyrolysis experiment on the fifth powder sample in an open environment. This pyrolysis experiment of the fifth powder sample and the pyrolysis experiment of the third powder sample constitute a control experiment based on particle size. This allows for the determination of a particle size influence coefficient based on the third and fifth free hydrocarbon contents, and a time influence coefficient based on the third and fourth free hydrocarbon contents. An environmental influence coefficient is also determined based on the third and second free hydrocarbon contents. Finally, the product of the time influence coefficient, environmental influence coefficient, and particle size influence coefficient is used as a correction coefficient. In this way, the influence of the environment, placement time, and particle size on the free hydrocarbon content can be comprehensively considered, i.e., the correction coefficient can be used to correct the sixth free hydrocarbon content, thereby more accurately predicting the free hydrocarbon content and thus more accurately predicting shale oil resources.

[0122] In some embodiments, Table 1 is a control experiment table for placement time. As shown in Table 1, shale was extracted sequentially from different depths in well A1. First shale samples with sample numbers 1.1, 1.2, 1.3, 1.4, and 1.5 were obtained. The depths were, for example, 3920.3, 3933.4, 3998.23, 4006.25, and 4017.6. Each first shale sample was segmented to obtain a first crushed sample. Each first crushed sample was then crushed to a particle size of 20 mesh to obtain a first powder sample. A third powder sample and a fourth powder sample were obtained from each first powder sample. Then, in an open environment, pyrolysis experiments were immediately conducted on each of the third powder samples according to the temperature range (250℃, 300℃) to obtain the corresponding third free hydrocarbon content for each of the first shale samples. The third free hydrocarbon contents for the first shale samples with sample numbers 1.1, 1.2, 1.3, 1.4, and 1.5 were 6.32, 5.94, 5.69, 5.55, and 5.24, respectively. After placing each of the fourth powder samples in an open environment for 72 hours, pyrolysis experiments were then conducted on each of the fourth powder samples according to the temperature range (250℃, 300℃). The fourth free hydrocarbon content corresponding to each first shale sample was obtained. The fourth free hydrocarbon content corresponding to shale samples 1.1, 1.2, 1.3, 1.4, and 1.5 were 3.98, 3.44, 3.46, 4, and 3.44, respectively. Based on dividing the third free hydrocarbon content corresponding to each first shale sample by the fourth free hydrocarbon content, the time influence coefficient corresponding to each first shale sample could be obtained. The time influence coefficient K for shale samples 1.1, 1.2, 1.3, 1.4, and 1.5 was obtained. 时间The values ​​are 1.59, 1.73, 1.64, 1.39, and 1.52, respectively. Since the first shale samples with sample numbers 1.1, 1.2, 1.3, 1.4, and 1.5 all belong to well A1, the time influence coefficient corresponding to any sample number can be used as the time influence coefficient for well A1. Alternatively, an average time coefficient can be calculated based on the time influence coefficients corresponding to each sample number. This average time coefficient can then be used as the time influence coefficient for well A1.

[0123] Table 1

[0124]

[0125] Table 2 shows the control experiment table for the pyrolysis experimental environment. As shown in Table 2, shale was extracted sequentially from different depths in well A1. Samples numbered 1.1, 1.2, 1.3, 1.4, and 1.5 were obtained as the first shale samples. The depths were, for example, 3920.3, 3933.4, 3998.23, 4006.25, and 4017.6. Each first shale sample was segmented to obtain first and second fragmented samples. Each first and second fragmented sample was then further crushed to a particle size of 20 mesh to obtain multiple first powder samples and multiple second powder samples. A third powder sample was then obtained from each first powder sample. In an open environment, pyrolysis experiments were conducted on each third powder sample within a temperature range (250℃, 300℃) to obtain the corresponding third free hydrocarbon content for each first shale sample. The third free hydrocarbon content for first shale samples with sample numbers 1.1, 1.2, 1.3, 1.4, and 1.5 were 12.2, 9.08, 10.81, 7.61, and 6.9, respectively. In a closed environment, pyrolysis experiments were conducted on each second powder sample within a temperature range (250℃, 300℃) to obtain the corresponding third free hydrocarbon content for each first shale sample. The corresponding second free hydrocarbon content is calculated. The second free hydrocarbon content for shale samples 1.1, 1.2, 1.3, 1.4, and 1.5 are 7.9, 5.65, 7.75, 4.46, and 4.7, respectively. The environmental impact coefficient for each shale sample is obtained by dividing the third free hydrocarbon content by the second free hydrocarbon content. The environmental impact coefficient K for shale samples 1.1, 1.2, 1.3, 1.4, and 1.5 is calculated. 开闭 The values ​​are 1.54, 1.61, 1.39, 1.71, and 1.47, respectively. The environmental impact coefficient corresponding to any sample number can be used as the environmental impact coefficient for well A1. Alternatively, the average environmental coefficient can be calculated based on the environmental impact coefficients corresponding to each sample number. This average environmental coefficient can then be used as the environmental impact coefficient for well A1.

[0126] Table 2

[0127]

[0128] Table 3 shows the control experiment for grain size. As shown in Table 3, shale was extracted sequentially from different depths in well A1. Samples numbered 1.1, 1.2, 1.3, 1.4, and 1.5 were obtained as the first shale samples. The depths were, for example, 3920.3, 3933.4, 3998.23, 4006.25, and 4017.6. Each of the first shale samples was then segmented to obtain a first fragmented sample and a third fragmented sample. Each first crushed sample was crushed to a particle size of 20 mesh to obtain multiple first powder samples. Third powder samples were then obtained from each first powder sample. In an open environment, each third powder sample was immediately subjected to pyrolysis experiments within a temperature range of (250, 300°C) to obtain the corresponding third free hydrocarbon content for each first shale sample. The third free hydrocarbon contents for first shale samples with sample numbers 1.1, 1.2, 1.3, 1.4, and 1.5 were 12.2, 9.08, 10.81, 7.61, and 6.9, respectively. Each third crushed sample was then crushed to a particle size of 200 mesh to obtain multiple fifth powder samples. In an open environment, each fifth powder sample was immediately subjected to pyrolysis experiments within a temperature range of (250, 300°C) to obtain the corresponding fifth free hydrocarbon content for each first shale sample. The fifth free hydrocarbon contents for sample numbers 1.1, 1.2, 1.3, 1.4, and 1.5 were... The fifth free hydrocarbon content corresponding to the first shale samples 5 are 12.77, 1045, 12.7, 8.25, and 7.85, respectively. Based on dividing the third free hydrocarbon content corresponding to each first shale sample by the fifth free hydrocarbon content, the grain size influence coefficient for each first shale sample can be obtained. The grain size influence coefficients corresponding to the first shale samples 1.1, 1.2, 1.3, 1.4, and 1.5 are 0.96, 0.87, 0.85, 0.92, and 0.88, respectively. Since the first shale samples 1.1, 1.2, 1.3, 1.4, and 1.5 all belong to well A1, the grain size influence coefficient corresponding to any sample number can be used as the grain size influence coefficient for well A1. Alternatively, the average grain size coefficient can be calculated based on the grain size influence coefficients corresponding to each sample number. This average grain size coefficient can then be used as the grain size influence coefficient for well A1.

[0129] Table 3

[0130]

[0131] Table 4 shows the comparison experiment for particle size. As shown in Table 4, shale from section 2 of borehole 3860m in well A2 was taken as the third shale sample, and the first porosity of the third shale sample was measured to be 8.3% using the helium porosity method. The third shale sample was broken into eight particle sizes: 0.08, 0.15, 0.3, 0.6, 1, 1.5, 3, and 8. The second porosity corresponding to each of the eight particle sizes was obtained using the GRI porosity measurement method. The second porosities corresponding to the particle sizes of 0.08, 0.15, 0.3, 0.6, 1, 1.5, 3, and 8 were 10.1%, 9.8%, 9.6%, 8.6%, 8.3%, 8.2%, 7.9%, and 8.1%, respectively. It can be seen that the second porosity with the smallest difference from the third shale sample's porosity of 8.3% is 8.3%. The second porosity of 8.3% corresponds to a particle size of 1. Therefore, in this embodiment, for the shale sample extracted from section 2 of borehole 3860m in well A2, its first set size can be determined to be 1.

[0132] Table 4

[0133]

[0134] This embodiment provides a control system including a controller, a conveying device, a segmentation device, a crushing device, and a pyrolysis experimental device. The conveying device is, for example, a robotic arm or a conveyor belt. The controller, according to the aforementioned method, controls the conveying device to segment the first shale sample, obtaining a first crushed sample and a second crushed sample. The controller then controls the conveying device to transport the first and second crushed samples to the crushing device. The crushing device crushes the first and second crushed samples to obtain a first powder sample and a second powder sample. The controller then controls the conveying device to transport the first and second powder samples to the pyrolysis experimental device. The pyrolysis experimental device performs a pyrolysis experiment on the first powder sample in an open environment and on the second powder sample in a closed environment. The controller then controls a gas collection device to collect the amount of first free hydrocarbons released from the first powder sample and the amount of second free hydrocarbons released from the second powder sample. Finally, the shale oil resource quantity is predicted based on the amounts of first and second free hydrocarbons.

[0135] Figure 5 A schematic diagram of the electronic structure provided in this application. (See attached diagram.) Figure 5 As shown, the electronic device 500 provided in this embodiment includes at least one processor 501 and a memory 502. Optionally, the device 50 also includes a communication component 503. The processor 501, memory 502, and communication component 503 are connected via a bus.

[0136] In a specific implementation, at least one processor 501 executes computer execution instructions stored in memory 502, causing at least one processor 501 to perform the above-described method.

[0137] The specific implementation process of processor 501 can be found in the above method embodiments, and its implementation principle and technical effect are similar. It will not be repeated here.

[0138] 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.

[0139] The memory may include random access memory (RAM) and may also include non-volatile memory (NVM), such as at least one disk storage device.

[0140] 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.

[0141] This application also provides a computer program product, including a computer program that, when executed by a processor, implements the above-described method.

[0142] This application also provides a computer-readable storage medium storing computer-executable instructions, which, when executed by a processor, implement the above-described method.

[0143] 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.

[0144] 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.

[0145] 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.

[0146] 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, depending on actual needs.

[0147] 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.

[0148] 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.

[0149] 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.

[0150] 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 predicting shale oil resources, characterized in that, include: Obtain the first shale sample; The first shale sample is segmented to obtain a first fragmented sample and a second fragmented sample. The first crushed sample and the second crushed sample are crushed according to the first set particle size to obtain the first powder sample and the second powder sample. In an open environment, a third and fourth powder sample are obtained from the first powder sample; After the third powder sample is placed for a first set time, a pyrolysis experiment is performed on the third powder sample according to a first set temperature range to obtain the third free hydrocarbon content. After placing the fourth powder sample for a second set time, a pyrolysis experiment is performed on the fourth powder sample according to the first set temperature range to obtain the fourth free hydrocarbon content; the first free hydrocarbon content is obtained; and a pyrolysis experiment is performed on the second powder sample in a closed environment to obtain the second free hydrocarbon content. The first shale sample was segmented to obtain a third fragmented sample; The third crushed sample is crushed according to the second set particle size to obtain a fifth powder sample; After the fifth powder sample is placed for a first set time, a pyrolysis experiment is performed on the fifth powder sample in an open environment according to a first set temperature range to obtain the fifth free hydrocarbon content. The particle size influence coefficient is determined based on the fifth free hydrocarbon content and the third free hydrocarbon content; the time influence coefficient is determined based on the third free hydrocarbon content and the fourth free hydrocarbon content; and the environmental influence coefficient is determined based on the third free hydrocarbon content and the second free hydrocarbon content. The correction coefficient is obtained based on the particle size influence coefficient, the time influence coefficient, and the environmental influence coefficient; The preset sixth free hydrocarbon content is corrected using the correction coefficient to obtain the predicted free hydrocarbon content; wherein, the sixth free hydrocarbon content is obtained by conducting a pyrolysis experiment on the test sample in an open environment after placing the test sample with a first set particle size for a first set time, according to a second set temperature range. Predict shale oil resources based on the predicted free hydrocarbon content; The method further includes: Obtain the third shale sample; The porosity of the third shale sample was measured to obtain the first porosity corresponding to the third shale sample; The third shale sample was crushed to obtain test samples with different particle sizes; Porosity detection is performed on each of the test samples to obtain the second porosity corresponding to each of the test samples. The particle size of the test sample corresponding to the target porosity is determined as the first set particle size; the target porosity is the second porosity with the smallest difference from the first porosity.

2. The method according to claim 1, characterized in that, A pyrolysis experiment was performed on the second powder sample to obtain the second amount of free hydrocarbons, including: After the second powder sample is placed for a first set time, a pyrolysis experiment is performed on the second powder sample according to a first set temperature range to obtain the second free hydrocarbon content.

3. The method according to claim 2, characterized in that, Also includes: Obtain the second shale sample; The second shale sample was crushed to obtain a crushed test sample. The broken test sample was subjected to pyrolysis experiments in multiple temperature ranges to obtain the free hydrocarbons corresponding to each temperature range. Each tested free hydrocarbon was subjected to chromatographic analysis to obtain the gas chromatograms corresponding to each of the temperature ranges. The gas chromatogram that is most similar to the preset chromatogram is identified as the target chromatogram. The temperature range corresponding to the target chromatogram is determined as the first set temperature range.

4. The method according to claim 3, characterized in that, Also includes: Obtain the shale oil sample corresponding to the second shale sample; The shale oil sample was subjected to gas chromatography analysis to obtain the preset chromatogram.

5. 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 1-4.

6. 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 1-4.

7. 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 1-4.