A shale oil interval evaluation method, device, equipment and storage medium

Abstract

The embodiment of the present application discloses a shale oil interval evaluation method, device, equipment and storage medium, wherein the method comprises: obtaining free hydrocarbon data, hydrogen index data and porosity data of a target shale oil interval; determining a target enrichment coefficient corresponding to the target shale oil interval according to the free hydrocarbon data, hydrogen index data and porosity data of the target shale oil interval; comparing the target enrichment coefficient with an enrichment coefficient threshold value corresponding to the target shale oil interval, and determining a sweet spot evaluation result of the target shale oil interval according to the comparison result; wherein the enrichment coefficient threshold value is a threshold value for evaluating the enrichment coefficient of an interval in a target region to which the target shale oil interval belongs. The technical scheme of the embodiment of the present application can determine the enrichment coefficient of the target shale oil interval based on the free hydrocarbon data, hydrogen index data and porosity data, and can improve the sweet spot analysis accuracy by quantitatively evaluating the target shale oil interval, thereby providing convenience for shale oil exploration and development.

Description

Technical Field

[0001] The present invention relates to the field of continental shale oil analysis technology, and in particular to a method, apparatus, equipment and storage medium for evaluating shale oil strata. Background Technology

[0002] "Sweet spot" assessment is a crucial aspect of unconventional oil and gas exploration and development, significantly impacting the large-scale and efficient development of unconventional oil and gas resources. The specific "sweet spot" assessment parameters and indicators vary across different basins and types of unconventional oil and gas, necessitating optimization of these parameters and indicators. The optimization methods primarily fall into four categories: semi-quantitative planar overlay assessment using contour maps; quantitative-semi-quantitative assessment methods using multiple parameters constrained by the target parameters; radar visualization methods; and quantitative assessment methods for "sweet spots" based on geological anomaly theory.

[0003] Publicly published literature both domestically and internationally, along with surveys of shale oil exploration and production practices in China, indicate that previous researchers have used as many as 52 parameters to evaluate the "sweet spot" of shale oil. Among these, TOC content, thermal evolution maturity, shale thickness, porosity, rock mineral composition (lithology and lithofacies), Young's modulus, brittleness index, formation pressure, and fractures are commonly used parameters. Furthermore, Chinese oil and gas companies also focus on free hydrocarbon (S1) content and oil saturation during the "sweet spot" evaluation stage. Current technologies require the introduction of too many evaluation parameters when assessing shale oil strata, including too many unnecessary or even negative parameters, affecting the accuracy and efficiency of shale oil exploration. Therefore, understanding the differences in organic matter types within shale is crucial for achieving effective evaluation of the sweet spot in continental shale oil. Summary of the Invention

[0004] This invention provides a method, apparatus, equipment, and storage medium for evaluating shale oil zones. It can determine the enrichment coefficient of a target shale oil zone based on free hydrocarbon data, hydrogen index data, and porosity data, and perform quantitative evaluation of the target shale oil zone, thereby improving the accuracy of sweet spot analysis and facilitating shale oil exploration and development.

[0005] In a first aspect, embodiments of the present invention provide a method for evaluating shale oil formations, the method comprising:

[0006] Obtain free hydrocarbon data, hydrogen index data, and porosity data for the target shale oil formation;

[0007] Based on the free hydrocarbon data, hydrogen index data, and porosity data of the target shale oil interval, the target enrichment coefficient corresponding to the target shale oil interval is determined;

[0008] The target enrichment coefficient is compared with the enrichment coefficient threshold corresponding to the target shale oil interval, and the sweet spot evaluation result of the target shale oil interval is determined based on the comparison result.

[0009] The enrichment coefficient threshold is a threshold used to evaluate the enrichment coefficient of the layers within the target area to which the target shale oil layer belongs.

[0010] Secondly, embodiments of the present invention provide a shale oil formation assessment device, the device comprising:

[0011] The layer data acquisition module is used to acquire free hydrocarbon data, hydrogen index data, and porosity data of the target shale oil layer;

[0012] The enrichment coefficient determination module is used to determine the target enrichment coefficient corresponding to the target shale oil layer based on the free hydrocarbon data, hydrogen index data and porosity data of the target shale oil layer.

[0013] The sweet spot analysis module is used to compare the target enrichment coefficient with the enrichment coefficient threshold corresponding to the target shale oil interval, and determine the sweet spot evaluation result of the target shale oil interval based on the comparison result;

[0014] The enrichment coefficient threshold is a threshold used to evaluate the enrichment coefficient of the layers within the target area to which the target shale oil layer belongs.

[0015] Thirdly, embodiments of the present invention provide a computer device, the computer device comprising:

[0016] One or more processors;

[0017] Memory, used to store one or more programs;

[0018] When the one or more programs are executed by the one or more processors, the one or more processors implement the shale oil zone assessment method described in any embodiment.

[0019] Fourthly, embodiments of the present invention provide a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the shale oil stratum evaluation method described in any embodiment.

[0020] The technical solution provided by this invention involves acquiring free hydrocarbon data, hydrogen index data, and porosity data of a target shale oil formation; determining a target enrichment coefficient corresponding to the target shale oil formation based on these data; comparing the target enrichment coefficient with a corresponding enrichment coefficient threshold; and determining the sweet spot evaluation result of the target shale oil formation based on the comparison result. The enrichment coefficient threshold is a threshold used to evaluate the enrichment coefficient of formations within a target region to which the target shale oil formation belongs. This technical solution can determine the enrichment coefficient of a target shale oil formation based on free hydrocarbon data, hydrogen index data, and porosity data, and perform quantitative evaluation of the target shale oil formation, thereby improving the accuracy of sweet spot analysis and providing convenience for shale oil exploration and development. Attached Figure Description

[0021] Figure 1 This is a flowchart of a shale oil formation assessment method provided in an embodiment of the present invention;

[0022] Figure 2 This is a flowchart of another shale oil formation assessment method provided in this embodiment of the invention;

[0023] Figure 3 This is a schematic diagram of a coefficient distribution scatter plot provided in an embodiment of the present invention;

[0024] Figure 4 This is a schematic diagram of a layered dessert evaluation provided by an embodiment of the present invention;

[0025] Figure 5 This is a schematic diagram of the structure of a shale oil formation assessment device provided in an embodiment of the present invention;

[0026] Figure 6 This is a schematic diagram of the structure of a computer device provided in an embodiment of the present invention. Detailed Implementation

[0027] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0028] Figure 1This is a flowchart of a shale oil formation assessment method provided by an embodiment of the present invention. The embodiment of the present invention can be applied to scenarios where sweet spot analysis is performed on shale oil formations. The method can be executed by a shale oil formation assessment device, which can be implemented by software and / or hardware.

[0029] like Figure 1 As shown, the method for evaluating shale oil zones includes the following steps:

[0030] S110. Obtain free hydrocarbon data, hydrogen index data, and porosity data for the target shale oil layer.

[0031] The target shale oil layer can be any shale oil layer requiring point analysis. Specifically, the target shale oil layer must be located within the target area. For example, a layer of a certain depth can be selected from the target area as the target shale oil layer; alternatively, a single sample layer can be selected. Further, rock samples from the target shale oil layer can be collected, and then pyrolysis analysis and helium porosity testing can be performed on these samples to obtain free hydrocarbon data, hydrogen index data, and porosity data for the target shale oil layer.

[0032] S120. Based on the free hydrocarbon data, hydrogen index data, and porosity data of the target shale oil layer, determine the target enrichment coefficient corresponding to the target shale oil layer.

[0033] The target enrichment coefficient can be a parameter representing the enrichment degree of the target shale oil layer. Specifically, the free hydrocarbon data, hydrogen index data, and porosity data of the target shale oil layer can be normalized to obtain normalized values ​​for free hydrocarbons, hydrogen index, and porosity, respectively. The product of these values ​​with a preset coefficient is then used as the target enrichment coefficient. The normalized value for free hydrocarbons is the value obtained after normalizing the free hydrocarbon data of the target shale oil layer. The normalized value for hydrogen index is the value obtained after normalizing the hydrogen index data of the target shale oil layer. The normalized value for porosity is the value obtained after normalizing the porosity data of the target shale oil layer.

[0034] S130. Compare the target enrichment coefficient with the enrichment coefficient threshold corresponding to the target shale oil interval, and determine the sweet spot evaluation result of the target shale oil interval based on the comparison result.

[0035] The enrichment coefficient threshold is a threshold used to evaluate the enrichment coefficient of a segment within a target region to which the target shale oil segment belongs. The enrichment coefficient threshold includes a first enrichment coefficient threshold and a second enrichment coefficient threshold, wherein the first enrichment coefficient threshold is greater than the second enrichment coefficient threshold. The sweet spot evaluation result can be the analysis result of a sweet spot analysis of the target shale oil segment. Specifically, the target enrichment coefficient can be compared with the first enrichment coefficient threshold and the second enrichment coefficient threshold, and the sweet spot evaluation result of the target shale oil segment can be determined based on the comparison results.

[0036] It should be noted that the enrichment coefficient threshold is dynamically changing, meaning it is matched to the target enrichment coefficient threshold corresponding to the target region, based on the target shale oil interval. Specifically, because the key parameters free hydrocarbons, hydrogen index, and porosity are all normalized using data from within the region, employing a maximum value normalization method, and given the significant differences in the distribution range of these key parameters across different regions, the obtained normalized values ​​will all have regional characteristics. Therefore, the enrichment coefficients calculated based on these three parameters need to be dynamically analyzed, rather than using fixed values ​​for interval classification.

[0037] For example, if the target enrichment coefficient is greater than the first enrichment coefficient threshold, the target shale oil layer is classified as a Class I layer, indicating that the enrichment conditions of the target shale oil layer are relatively good; if the target enrichment coefficient is greater than the second enrichment coefficient threshold but less than the first enrichment coefficient threshold, the target shale oil layer is classified as a Class II layer, indicating that the enrichment conditions of the target shale oil layer are average; if the target enrichment coefficient is less than the second enrichment coefficient threshold, the target shale oil layer is classified as a Class III layer, indicating that the enrichment conditions of the target shale oil layer are relatively poor.

[0038] The technical solution provided by this invention involves acquiring free hydrocarbon data, hydrogen index data, and porosity data of a target shale oil formation; determining a target enrichment coefficient corresponding to the target shale oil formation based on these data; comparing the target enrichment coefficient with a corresponding enrichment coefficient threshold; and determining the sweet spot evaluation result of the target shale oil formation based on the comparison result. The enrichment coefficient threshold is a threshold used to evaluate the enrichment coefficient of formations within a target region to which the target shale oil formation belongs. This technical solution can determine the enrichment coefficient of a target shale oil formation based on free hydrocarbon data, hydrogen index data, and porosity data, and perform quantitative evaluation of the target shale oil formation, thereby improving the accuracy of sweet spot analysis and providing convenience for shale oil exploration and development.

[0039] Figure 2This is a flowchart of another shale oil interval evaluation method provided by the present invention. The present invention can be applied to the scenario of sweet spot analysis of shale oil intervals. Based on the above embodiments, this embodiment further explains how to set the enrichment coefficient threshold; and how to perform sweet spot analysis on the target shale oil interval based on the enrichment coefficient threshold. The device can be implemented by software and / or hardware and integrated into a computer device with application development capabilities.

[0040] like Figure 2 As shown, the method for evaluating shale oil zones includes the following steps:

[0041] S210. Obtain free hydrocarbon data, hydrogen index data, and porosity data for multiple sample layers within the target area.

[0042] The target area can be the region where sweet spot analysis of shale oil formations is required. Specifically, a designated area can be manually selected as the target area. The sample formations can be the formations within the target area that require sampling and analysis. For example, a sample formation can be selected at preset depth intervals to obtain multiple sample formations within the target area.

[0043] Furthermore, for each sample layer, sampling can be carried out using drilling equipment to obtain sample rocks. These sample rocks are then subjected to rock pyrolysis analysis. The free hydrocarbon data of the sample rocks, expressed in mg / g, is obtained and denoted as S1, representing the free hydrocarbon data for the corresponding sample layer. i Simultaneously, the hydrogen index (HI) data, in mg / g, was calculated and obtained as the hydrogen index data for the corresponding sample segment, denoted as I. i Helium porosity tests can also be performed on sample rocks to obtain porosity (φ) data, which is used as porosity data for the corresponding sample layer, in units of %, and denoted as φi.

[0044] S220. For each sample segment, determine the sample enrichment coefficient corresponding to the sample segment based on the free hydrocarbon data, hydrogen index data, and porosity data of the sample segment.

[0045] The sample enrichment coefficient can be a parameter representing the enrichment degree of a sample segment. Specifically, the free hydrocarbon data, hydrogen index data, and porosity data of the sample segment can be normalized separately, and then the processed data can be multiplied by a preset coefficient to obtain the sample enrichment coefficient corresponding to the sample segment. For example, the free hydrocarbon data, hydrogen index data, and porosity data of the sample segment are normalized separately to obtain the normalized value for each data type: S1 归一i HI 归一i and φ 归一i Furthermore, the sample enrichment coefficient = S1 归一i ×HI归一i ×φ 归一i ×100. The sample enrichment coefficient can be denoted as E. i .

[0046] S230. Determine the enrichment coefficient threshold based on the distribution ratio data of the sample enrichment coefficient of the sample segment.

[0047] The distribution proportion data can be the numerical proportion of the sample enrichment coefficients. Specifically, statistical analysis can be performed on the values ​​corresponding to the enrichment coefficients of multiple sample segments to obtain the distribution proportion data of the sample enrichment coefficients. The enrichment coefficient threshold can be a threshold used to evaluate the enrichment coefficients of segments within a target region. The enrichment coefficient threshold can include: a first enrichment coefficient threshold and a second enrichment coefficient threshold, wherein the first enrichment coefficient threshold is greater than the second enrichment coefficient threshold. Specifically, based on the distribution proportion data of the sample enrichment coefficients, two cutoff values ​​can be determined to classify the sample enrichment coefficients as high or low, and these two cutoff values ​​can be used as the first enrichment coefficient threshold and the second enrichment coefficient threshold, respectively.

[0048] Optionally, the enrichment coefficient threshold is determined based on the distribution ratio data of the enrichment coefficients of the sample segments, including: sorting the enrichment coefficients of each sample segment according to a preset arrangement order to obtain a target coefficient sequence; determining the first sequence value and the second sequence value based on the preset coefficient ratio data and the number of data in the target coefficient sequence; using the enrichment coefficient with the first sequence value in the target coefficient sequence as the first enrichment coefficient threshold; and using the enrichment coefficient with the second sequence value in the target coefficient sequence as the second enrichment coefficient threshold.

[0049] The target coefficient sequence can be a sequence obtained by numerically organizing the enrichment coefficients of multiple sample segments. The preset sorting order can be either in ascending order or in descending order. For example, if the preset sorting order is in ascending order, the enrichment coefficients of multiple sample segments can be arranged in ascending order to obtain the target coefficient sequence.

[0050] Furthermore, both the first and second sequence values ​​are preset sequence numbers used to determine the enrichment coefficient threshold. Specifically, both the first and second sequence values ​​can be determined by manually set distribution ratios. For example, if the preset arrangement order is in ascending order of values, the data volume in the target coefficient sequence is 12, and the distribution ratio is 60%, 20%, and 20%, then the first sequence value can be determined to be 10. Alternatively, the first sequence value can be set to 7. Then, the enrichment coefficient with sequence number 10 in the target coefficient sequence can be used as the first enrichment coefficient threshold, and the enrichment coefficient with sequence number 7 in the target coefficient sequence can be used as the second enrichment coefficient threshold.

[0051] Optionally, the enrichment coefficient threshold is determined based on the distribution proportion data of the enrichment coefficients of the sample segments, including: constructing an initial coordinate system; mapping the enrichment coefficients of each sample segment to the initial coordinate system to obtain a scatter plot of the coefficient distribution; and determining the enrichment coefficient threshold based on the scatter plot of the coefficient distribution.

[0052] The initial coordinate system can be a blank coordinate system without data mapping. The ordinate of the initial coordinate system can be the sample enrichment coefficient, and the abscissa can be the cumulative proportion of the sample enrichment coefficient. The coefficient distribution scatter plot can plot the distribution of the sample enrichment coefficients across sample segments. For each sample enrichment coefficient, a corresponding mapping point can be determined in the initial coordinate system, and then the sample enrichment coefficients of the sample segment can be mapped to the corresponding mapping point, ultimately obtaining a coefficient distribution scatter plot for all sample enrichment coefficients. Furthermore, based on a manually set distribution ratio, the first sequence values ​​and the second sequence values ​​can be determined from the coefficient distribution scatter plot.

[0053] For example, based on the coefficient distribution scatter plot, the vertical axis value corresponding to the first preset proportion value can be used as the first enrichment coefficient threshold; and the vertical axis value corresponding to the second preset proportion value can be used as the second enrichment coefficient threshold.

[0054] Here, both the first preset percentage value and the second preset percentage value are cumulative percentage values ​​used to determine the enrichment coefficient threshold. The first preset percentage value and the second preset percentage value can be determined based on the distribution ratio. For example, when the distribution ratios are 60%, 20%, and 20%, the first preset percentage value can be determined to be 80%, and the second preset percentage value to be 60%.

[0055] This invention utilizes cryo-pyrolysis to obtain the original oil-bearing parameter S1 of shale, the parameter HI characterizing the organic matter type of shale, and helium porosity testing to obtain the reservoir performance parameter φ of shale. A formula for calculating the enrichment coefficient of continental shale oil is established, and the enrichment coefficients for different samples are calculated. The grading evaluation boundary is obtained based on the cumulative proportion of the enrichment coefficient, and the sweet spot zones of shale oil are selected based on the grading evaluation standards. This invention achieves rapid quantitative evaluation of sweet spot zones in shale, providing convenience for shale oil exploration and development.

[0056] S240. Obtain free hydrocarbon data, hydrogen index data, and porosity data of the target shale oil layer. Based on the free hydrocarbon data, hydrogen index data, and porosity data of the target shale oil layer, determine the target enrichment coefficient corresponding to the target shale oil layer.

[0057] S250. Compare the target enrichment coefficient with the enrichment coefficient threshold corresponding to the target shale oil interval, and determine the sweet spot evaluation result of the target shale oil interval based on the comparison result.

[0058] For example, in order to better understand the technical solution provided by the present invention, specific embodiments are described below:

[0059] To verify the feasibility of the method, the ZX well (Chang 7 section) in the Ordos Basin was selected for verification. A total of 69 samples were tested. First, in-situ coring was used for cryopreservation and pyrolysis analysis to obtain the pyrolysis S1 values, which characterize the original oil-bearing properties. The results showed that the cryopreservation and pyrolysis S1 values ​​of the Chang 7 section of this well ranged from 0.08 to 11.3 mg / g, with an average of 4.38 mg / g. The HI values ​​ranged from 89.59 to 1070.92 mg / g, with an average of 654.99 mg / g. The porosity ranged from 0.24% to 5.81%, with an average of 2.25% (Table 1).

[0060] Statistical analysis revealed that the maximum value of S1 was 11.3 mg / g, the maximum value of HI was 1070.92 mg / g, and the maximum value of porosity was 5.81%. The maximum values ​​of S1, HI, and porosity were normalized to eliminate the influence of differences in the order of magnitude of the data, and the normalized data of S1, HI, and φ were obtained.

[0061] According to the formula: Continental shale oil enrichment coefficient = S1 (normalized i) × HI (normalized i) × φ (normalized i) × 100

[0062] The enrichment coefficient values ​​of samples at different depths were calculated. The results showed that the enrichment coefficient of well ZX ranged from 0.06 to 43.94, with an average of 9.43.

[0063] Table 1. Statistical table of enrichment coefficient calculation parameters for 7-segment long samples.

[0064]

[0065]

[0066]

[0067]

[0068]

[0069] Statistical analysis of the shale oil enrichment coefficient in section 7 of well ZX showed that, on the cumulative curve of shale oil enrichment coefficient, the proportions of shale samples with enrichment coefficients <8, 8–17, and >17 were 60%, 20%, and 20%, respectively (see...). Figure 3 Therefore, this study uses enrichment coefficients of 8 and 17 as the boundaries for evaluating sweet spots in shale oil of categories III, II, and I, respectively. 17 is used as the first enrichment coefficient threshold, and 8 as the second enrichment coefficient threshold.

[0070] The ZX well was evaluated using the enrichment coefficient and evaluation criteria of continental shale oil (see...). Figure 4 The results show that the enrichment conditions in the middle of the 7th section of well ZX are relatively good. The Class I sweet spot layer is mainly developed in the two middle sections and should be the best sweet spot layer for shale oil enrichment. The thin layers above and below it are Class II enrichment layers. In contrast, the overall enrichment conditions in the upper and lower parts are worse, with Class III enrichment layers being the main type.

[0071] The technical solution provided in this invention involves acquiring free hydrocarbon data, hydrogen index data, and porosity data for multiple sample layers within a target area; for each sample layer, determining the corresponding enrichment coefficient based on the free hydrocarbon data, hydrogen index data, and porosity data; determining the enrichment coefficient threshold based on the distribution ratio of the enrichment coefficient of the sample layer; acquiring free hydrocarbon data, hydrogen index data, and porosity data for a target shale oil layer; determining the target enrichment coefficient corresponding to the target shale oil layer based on the free hydrocarbon data, hydrogen index data, and porosity data of the target shale oil layer; comparing the target enrichment coefficient with the enrichment coefficient threshold corresponding to the target shale oil layer; and determining the sweet spot evaluation result of the target shale oil layer based on the comparison result. The technical solution of this invention can determine the enrichment coefficient of the target shale oil interval based on free hydrocarbon data, hydrogen index data, and porosity data, and improve the accuracy of sweet spot analysis by quantitatively evaluating the target shale oil interval, thus providing convenience for shale oil exploration and development.

[0072] Figure 5This is a schematic diagram of a shale oil formation assessment device provided in an embodiment of the present invention. The embodiment of the present invention can be applied to scenarios where sweet spot analysis is performed on shale oil formations. The device can be implemented by software and / or hardware and integrated into a computer device with application development capabilities.

[0073] like Figure 5 As shown, the shale oil interval assessment device includes: interval data acquisition module 310, enrichment coefficient determination module 320, and sweet spot analysis module 330.

[0074] The module 310 for acquiring stratigraphic data is used to acquire free hydrocarbon data, hydrogen index data, and porosity data of the target shale oil stratigraphic segment. The enrichment coefficient determination module 320 is used to determine the target enrichment coefficient corresponding to the target shale oil stratigraphic segment based on the free hydrocarbon data, hydrogen index data, and porosity data of the target shale oil stratigraphic segment. The sweet spot analysis module 330 is used to compare the target enrichment coefficient with the enrichment coefficient threshold corresponding to the target shale oil stratigraphic segment, and determine the sweet spot evaluation result of the target shale oil stratigraphic segment based on the comparison result. The enrichment coefficient threshold is a threshold for evaluating the enrichment coefficient of the stratigraphic segment within the target area to which the target shale oil stratigraphic segment belongs.

[0075] The technical solution provided by this invention involves acquiring free hydrocarbon data, hydrogen index data, and porosity data of a target shale oil formation; determining a target enrichment coefficient corresponding to the target shale oil formation based on these data; comparing the target enrichment coefficient with a corresponding enrichment coefficient threshold; and determining the sweet spot evaluation result of the target shale oil formation based on the comparison result. The enrichment coefficient threshold is a threshold used to evaluate the enrichment coefficient of formations within a target region to which the target shale oil formation belongs. This technical solution can determine the enrichment coefficient of a target shale oil formation based on free hydrocarbon data, hydrogen index data, and porosity data, and perform quantitative evaluation of the target shale oil formation, thereby improving the accuracy of sweet spot analysis and providing convenience for shale oil exploration and development.

[0076] In one optional implementation, the enrichment coefficient determination module 320 is specifically used to: normalize the free hydrocarbon data, hydrogen index data, and porosity data of the target shale oil section to obtain a normalized value for free hydrocarbons, a normalized value for hydrogen index, and a normalized value for porosity; and use the product of the normalized value for free hydrocarbons, the normalized value for hydrogen index, and the normalized value for porosity with a preset coefficient as the target enrichment coefficient.

[0077] In one optional implementation, the enrichment coefficient threshold includes: a first enrichment coefficient threshold and a second enrichment coefficient threshold, wherein the first enrichment coefficient threshold is greater than the second enrichment coefficient threshold, and the sweet spot analysis module 330 is specifically used to: classify the target shale oil segment as a Class I segment when the target enrichment coefficient is greater than the first enrichment coefficient threshold; classify the target shale oil segment as a Class II segment when the target enrichment coefficient is greater than the second enrichment coefficient threshold and less than the first enrichment coefficient threshold; and classify the target shale oil segment as a Class III segment when the target enrichment coefficient is less than the second enrichment coefficient threshold.

[0078] In an optional embodiment, the shale oil interval assessment device further includes: an enrichment coefficient threshold determination module, used to: acquire free hydrocarbon data, hydrogen index data, and porosity data of multiple sample intervals within a target area; for each sample interval, determine the sample enrichment coefficient corresponding to the sample interval based on the free hydrocarbon data, hydrogen index data, and porosity data of the sample interval; and determine the enrichment coefficient threshold based on the distribution ratio data of the sample enrichment coefficient of the sample interval.

[0079] In one optional implementation, the enrichment coefficient threshold determination module includes: a first threshold determination unit, configured to: sort the sample enrichment coefficients of each sample segment according to a preset arrangement order to obtain a target coefficient sequence; determine a first sequence value and a second sequence value based on preset coefficient proportion data and the number of data in the target coefficient sequence; use the enrichment coefficient with the first sequence value in the target coefficient sequence as the first enrichment coefficient threshold; and use the enrichment coefficient with the second sequence value in the target coefficient sequence as the second enrichment coefficient threshold.

[0080] In an optional implementation, the enrichment coefficient threshold determination module further includes: a second threshold determination unit, configured to: construct an initial coordinate system; wherein the vertical axis of the initial coordinate system is the sample enrichment coefficient, and the horizontal axis is the cumulative proportion of the sample enrichment coefficient; map the sample enrichment coefficient of each sample segment to the initial coordinate system to obtain a coefficient distribution scatter plot; and determine the enrichment coefficient threshold based on the coefficient distribution scatter plot.

[0081] In one optional implementation, the second threshold determination unit includes: a distribution scatter plot analysis subunit, configured to: based on the coefficient distribution scatter plot, use the ordinate value corresponding to the first preset proportion value as the first enrichment coefficient threshold; and use the ordinate value corresponding to the second preset proportion value as the second enrichment coefficient threshold.

[0082] The shale oil formation assessment device provided in this embodiment of the invention can execute the shale oil formation assessment method provided in any embodiment of the invention, and has the corresponding functional modules and beneficial effects of the method.

[0083] Figure 6 This is a schematic diagram of the structure of a computer device provided in an embodiment of the present invention. Figure 6 A block diagram of an exemplary computer device 12 suitable for implementing embodiments of the present invention is shown. Figure 6 The computer device 12 shown is merely an example and should not be construed as limiting the functionality or scope of the embodiments of the present invention. The computer device 12 can be any terminal device with computing capabilities and can be configured in a shale oil formation assessment device.

[0084] like Figure 6 As shown, the computer device 12 is represented in the form of a general-purpose computing device. The components of the computer device 12 may include, but are not limited to: one or more processors or processing units 16, system memory 28, and a bus 18 connecting different system components (including system memory 28 and processing unit 16).

[0085] Bus 18 can be one or more of several bus architectures, including a memory bus or memory controller, a peripheral bus, a graphics acceleration port, a processor, or a local bus using any of the various bus architectures. For example, these architectures include, but are not limited to, the Industry Standard Architecture (ISA) bus, the Micro Channel Architecture (MAC) bus, the Enhanced ISA bus, the Video Electronics Standards Association (VESA) local bus, and the Peripheral Component Interconnect (PCI) bus.

[0086] Computer device 12 typically includes a variety of computer system readable media. These media can be any available media that can be accessed by computer device 12, including volatile and non-volatile media, removable and non-removable media.

[0087] System memory 28 may include computer system readable media in the form of volatile memory, such as random access memory (RAM) 30 and / or cache 32. Computer device 12 may further include other removable / non-removable, volatile / non-volatile computer system storage media. By way of example only, storage system 34 may be used to read and write non-removable, non-volatile magnetic media (…). Figure 6 Not shown; usually referred to as a "hard drive"). Although Figure 6Not shown, a disk drive for reading and writing to a removable non-volatile disk (e.g., a "floppy disk") and an optical disk drive for reading and writing to a removable non-volatile optical disk (e.g., a CD-ROM, DVD-ROM, or other optical media) may be provided. In these cases, each drive may be connected to bus 18 via one or more data media interfaces. System memory 28 may include at least one program product having a set (e.g., at least one) of program modules configured to perform the functions of the embodiments of the present invention.

[0088] A program / utility 40 having a set (at least one) of program modules 42 may be stored, for example, in system memory 28. Such program modules 42 include, but are not limited to, an operating system, one or more application programs, other program modules, and program data. Each or some combination of these examples may include an implementation of a network environment. Program modules 42 typically perform the functions and / or methods described in the embodiments of the present invention.

[0089] Computer device 12 can also communicate with one or more external devices 14 (e.g., keyboard, pointing device, display 24, etc.), and with one or more devices that enable a user to interact with the computer device 12, and / or with any device that enables the computer device 12 to communicate with one or more other computing devices (e.g., network card, modem, etc.). This communication can be performed through input / output (I / O) interface 22. Furthermore, computer device 12 can also communicate with one or more networks (e.g., local area network (LAN), wide area network (WAN), and / or public networks, such as the Internet) through network adapter 20. Figure 6 As shown, network adapter 20 communicates with other modules of computer device 12 via bus 18. It should be understood that, although... Figure 6 As not shown, it can be used in conjunction with computer device 12 with other hardware and / or software modules, including but not limited to: microcode, device drivers, redundant processing units, external disk drive arrays, RAID systems, tape drives, and data backup storage systems.

[0090] Processing unit 16 executes various functional applications and data processing by running programs stored in system memory 28, such as implementing the shale oil interval evaluation method provided in this embodiment of the invention, which includes:

[0091] Acquire free hydrocarbon data, hydrogen index data, and porosity data of the target shale oil interval; determine the target enrichment coefficient corresponding to the target shale oil interval based on the free hydrocarbon data, hydrogen index data, and porosity data of the target shale oil interval; compare the target enrichment coefficient with the enrichment coefficient threshold corresponding to the target shale oil interval, and determine the sweet spot evaluation result of the target shale oil interval based on the comparison result; wherein, the enrichment coefficient threshold is a threshold for evaluating the enrichment coefficient of the interval within the target area to which the target shale oil interval belongs.

[0092] This embodiment provides a computer-readable storage medium storing a computer program that, when executed by a processor, implements the shale oil interval assessment method provided in any embodiment of the present invention, including:

[0093] Acquire free hydrocarbon data, hydrogen index data, and porosity data of the target shale oil formation; determine the target enrichment coefficient corresponding to the target shale oil formation based on the free hydrocarbon data, hydrogen index data, and porosity data of the target shale oil formation; compare the target enrichment coefficient with the enrichment coefficient threshold corresponding to the target shale oil formation, and determine the sweet spot evaluation result of the target shale oil formation based on the comparison result; wherein, the enrichment coefficient threshold is a threshold for evaluating the enrichment coefficient of the formation within the target area to which the target shale oil formation belongs.

[0094] The computer storage medium of this invention can be any combination of one or more computer-readable media. A computer-readable medium can be a computer-readable signal medium or a computer-readable storage medium. For example, a computer-readable storage medium can be, but is not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination thereof. More specific examples (a non-exhaustive list) of computer-readable storage media include: an electrical connection having one or more wires, a portable computer disk, a hard disk, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), optical fiber, portable compact disk read-only memory (CD-ROM), optical storage device, magnetic storage device, or any suitable combination thereof. In this document, a computer-readable storage medium can be any tangible medium that contains or stores a program that can be used by or in conjunction with an instruction execution system, apparatus, or device.

[0095] Computer-readable signal media may include data signals propagated in baseband or as part of a carrier wave, carrying computer-readable program code. Such propagated data signals may take various forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination thereof. Computer-readable signal media may also be any computer-readable medium other than computer-readable storage media, capable of sending, propagating, or transmitting programs for use by or in connection with an instruction execution system, apparatus, or device.

[0096] Program code contained on a computer-readable medium may be transmitted using any suitable medium, including but not limited to: wireless, wire, optical fiber, RF, etc., or any suitable combination thereof.

[0097] Computer program code for performing the operations of this invention can be written in one or more programming languages ​​or a combination thereof. Programming languages ​​include object-oriented programming languages ​​such as Java, Smalltalk, and C++, as well as conventional procedural programming languages ​​such as C or similar languages. The program code can be executed entirely on the user's computer, partially on the user's computer, as a standalone software package, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or server. In cases involving remote computers, the remote computer can be connected to the user's computer via any type of network, including a local area network (LAN) or a wide area network (WAN), or it can be connected to an external computer (e.g., via the Internet using an Internet service provider).

[0098] Those skilled in the art will understand that the modules or steps of the present invention described above can be implemented using general-purpose computing devices. They can be centralized on a single computing device or distributed across a network of multiple computing devices. Optionally, they can be implemented using computer-executable program code, thereby allowing them to be stored in a storage device for execution by a computing device, or they can be fabricated as separate integrated circuit modules, or multiple modules or steps can be fabricated as a single integrated circuit module. Thus, the present invention is not limited to any particular combination of hardware and software.

[0099] Note that the above description is merely a preferred embodiment of the present invention and the technical principles employed. Those skilled in the art will understand that the present invention is not limited to the specific embodiments described herein, and various obvious changes, readjustments, and substitutions can be made without departing from the scope of protection of the present invention. Therefore, although the present invention has been described in detail through the above embodiments, the present invention is not limited to the above embodiments, and may include many other equivalent embodiments without departing from the concept of the present invention, the scope of which is determined by the scope of the appended claims.

Claims

1. A method for evaluating shale oil formations, characterized in that, include: Obtain free hydrocarbon data, hydrogen index data, and porosity data for the target shale oil formation; Based on the free hydrocarbon data, hydrogen index data, and porosity data of the target shale oil interval, the target enrichment coefficient corresponding to the target shale oil interval is determined; The target enrichment coefficient is compared with the enrichment coefficient threshold corresponding to the target shale oil interval, and the sweet spot evaluation result of the target shale oil interval is determined based on the comparison result. The enrichment coefficient threshold is a threshold used to evaluate the enrichment coefficient of the layers within the target area to which the target shale oil layer belongs.

2. The method according to claim 1, characterized in that, The step of determining the target enrichment coefficient corresponding to the target shale oil interval based on the free hydrocarbon data, hydrogen index data, and porosity data of the target shale oil interval includes: The free hydrocarbon data, hydrogen index data, and porosity data of the target shale oil formation are normalized to obtain the normalized values ​​of free hydrocarbons, hydrogen index, and porosity. The target enrichment coefficient is obtained by multiplying the free hydrocarbon normalization value, hydrogen index normalization value, and porosity normalization value with a preset coefficient.

3. The method according to claim 1, characterized in that, The enrichment coefficient threshold includes: a first enrichment coefficient threshold and a second enrichment coefficient threshold, wherein the first enrichment coefficient threshold is greater than the second enrichment coefficient threshold. The step of comparing the target enrichment coefficient with the enrichment coefficient threshold corresponding to the target shale oil interval, and determining the sweet spot evaluation result of the target shale oil interval based on the comparison result, includes: If the target enrichment coefficient is greater than the first enrichment coefficient threshold, the target shale oil segment is a type I segment. If the target enrichment coefficient is greater than the second enrichment coefficient threshold and less than the first enrichment coefficient threshold, the target shale oil segment is a Class II segment. If the target enrichment coefficient is less than the second enrichment coefficient threshold, the target shale oil segment is a Class III segment.

4. The method according to claim 1, characterized in that, Determining the enrichment coefficient threshold includes: Free hydrocarbon data, hydrogen index data, and porosity data were obtained from multiple sample layers within the target area. For each sample segment, the enrichment coefficient of the sample segment is determined based on the free hydrocarbon data, hydrogen index data, and porosity data of the sample segment. The enrichment coefficient threshold is determined based on the distribution ratio data of the enrichment coefficients of the sample segments.

5. The method according to claim 4, characterized in that, The step of determining the enrichment coefficient threshold based on the distribution proportion data of the enrichment coefficient of the sample segment includes: The sample enrichment coefficients of each sample segment are sorted according to a preset arrangement order to obtain the target coefficient sequence; Based on the preset coefficient proportion data and the number of data in the target coefficient sequence, the values ​​of the first sequence and the second sequence are determined; The enrichment coefficient with the first sequence value in the target coefficient sequence is used as the first enrichment coefficient threshold; The enrichment coefficient with the second sequence value in the target coefficient sequence is used as the second enrichment coefficient threshold.

6. The method according to claim 4, characterized in that, The step of determining the enrichment coefficient threshold based on the distribution proportion data of the enrichment coefficient of the sample segment includes: Construct an initial coordinate system; wherein the vertical axis of the initial coordinate system is the sample enrichment coefficient, and the horizontal axis is the cumulative proportion of the sample enrichment coefficient; The sample enrichment coefficients of each sample segment are mapped to the initial coordinate system to obtain a scatter plot of the coefficient distribution; The enrichment coefficient threshold is determined based on the scatter plot of the coefficient distribution.

7. The method according to claim 6, characterized in that, Determining the enrichment coefficient threshold based on the coefficient distribution scatter plot includes: Based on the coefficient distribution scatter plot, the vertical axis value corresponding to the first preset proportion value is used as the first enrichment coefficient threshold. The vertical axis value corresponding to the second preset proportion value is used as the second enrichment coefficient threshold.

8. A shale oil formation assessment device, characterized in that, The device includes: The layer data acquisition module is used to acquire free hydrocarbon data, hydrogen index data, and porosity data of the target shale oil layer; The enrichment coefficient determination module is used to determine the target enrichment coefficient corresponding to the target shale oil layer based on the free hydrocarbon data, hydrogen index data and porosity data of the target shale oil layer. The sweet spot analysis module is used to compare the target enrichment coefficient with the enrichment coefficient threshold corresponding to the target shale oil interval, and determine the sweet spot evaluation result of the target shale oil interval based on the comparison result; The enrichment coefficient threshold is a threshold used to evaluate the enrichment coefficient of the layers within the target area to which the target shale oil layer belongs.

9. A computer device, characterized in that, The computer device includes: One or more processors; Memory, used to store one or more programs; When the one or more programs are executed by the one or more processors, the one or more processors implement the shale oil zone assessment method as described in any one of claims 1-7.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that, When executed by the processor, the program implements the shale oil zone assessment method as described in any one of claims 1-7.

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