Method and device for finely dividing heating stratigraphic units of shale oil in-situ conversion section

Abstract

The invention discloses a shale oil in-situ conversion section heating stratum unit fine division method and device, and the method comprises the steps: inputting a sensitive curve of a target well into a lithology recognition model, obtaining a depth range of a rich shale development section and binary lithology data in the range according to a model output result, and carrying out the fine division of the shale oil in-situ conversion section heating stratum unit. The binary lithologic data comprises shale rich in organic matters and shale not rich in organic matters; according to a set in-situ conversion section non-rich organic matter shale proportion upper limit and the binarization lithology data, at least one quasi in-situ conversion section is identified from the rich organic matter shale development section; and dividing the quasi-in-situ conversion section into at least one heating formation unit according to the distribution characteristics of the binarization lithology and the TOC distribution characteristics. According to the method, the heating stratum unit can be finely divided in combination with the binarized logging lithology interpretation result and the organic matter abundance.

Description

Technical Field

[0001] The present invention relates to the technical field of geophysics and shale oil development, and in particular to a method and device for finely dividing heating formation units in an in-situ conversion section of shale oil. Background Art

[0002] my country has conducted a lot of research on the in-situ conversion of oil shale and accumulated rich research experience. Different in-situ heating methods for shale, such as convection heating, electric heating, and microwave heating, have been studied and demonstrated. These research results have laid a solid foundation for further research and development of in-situ conversion technology for shale oil. In recent years, phased understanding and technical progress have been made in the evaluation and optimization of favorable areas and sweet spots for in-situ conversion and development of medium- and low-maturity shale oil (Yang Zhi, Zou Caineng, Fu Jinhua, et al. Evaluation of terrestrial shale selection based on in-situ conversion / modification technology - taking the shale of the 7th section of the Triassic Yanchang Formation in the Ordos Basin as an example, 2017; Patent authorization announcement number: CN 109113730 B).

[0003] Analyzing the previous research results, the research on the determination of the vertical heating section for in-situ conversion of low-middle-mature organic-rich shales is relatively weak. In the research on in-situ heating development of oil shale, the oil shale layer is generally regarded as the target layer for development; in the research on in-situ conversion of shale oil, the determination of the heating section has been deepened, but only five conditions that the heating section must meet have been determined (Zhao Wenzhi, Hu Suyun, Hou Lianhua. The connotation and strategic position of underground in-situ conversion of shale oil, 2018). Summary of the invention

[0004] The inventors found that due to the complex and changeable geological conditions of the continental shale formation, my country's organic-rich shale sections often show more significant heterogeneity, which is manifested in the high development of non-shale interlayers and the heterogeneity of the quality of shale source rocks. In the in-situ conversion and heating stage of shale oil, non-shale interlayers and low hydrocarbon generation potential interlayers may differ from organic-rich shales in terms of heat transfer efficiency, thermal cracking, hydrocarbon generation, etc.; in the production stage after the in-situ conversion of shale oil to generate oil and gas on a large scale, interlayers may also differ significantly from organic-rich shales in terms of fracture development, physical properties, and oil and gas saturation (for example, the poor ability of interlayers to generate fractures plays a role in blocking oil and gas transmission). These differences will have an impact on the selection of the optimal heating section, well pattern, and well spacing design during the in-situ conversion and development of shale oil. Based on this, it is very necessary to finely divide the heating unit of the in-situ conversion heating section of shale oil from the two aspects of lithology and hydrocarbon generation potential.

[0005] In order to at least partially solve the technical problems existing in the prior art, the inventors have made the present invention, and through a specific implementation method, provide a method and device for fine division of heating formation units in the in-situ conversion section of shale oil, conduct fine lithological spatial distribution and organic matter abundance evaluation on the in-situ conversion heating section of shale oil, and then divide the heating section into heating units.

[0006] In a first aspect, an embodiment of the present invention provides a method for finely dividing a shale oil in-situ conversion section heating formation unit, comprising:

[0007] Inputting the sensitivity curve of the target well into the lithology identification model, and obtaining the depth range of the organic-rich shale development section and the binary lithology data within the range according to the output result of the model, wherein the binary lithology data includes organic-rich shale and non-organic-rich shale;

[0008] According to the set upper limit of the proportion of non-organic-rich shale in the in-situ conversion section and the binary lithology data, at least one pseudo-in-situ conversion section is identified from the organic-rich shale development section;

[0009] According to the distribution characteristics of binary lithology and TOC distribution characteristics, the pseudo-in-situ conversion section is divided into at least one heated formation unit.

[0010] In a second aspect, an embodiment of the present invention provides a device for finely dividing shale oil in-situ conversion section heating formation units, the device comprising:

[0011] A binary lithology prediction module is used to input the sensitivity curve of the target well into the lithology identification model, and obtain the depth range of the organic-rich shale development section and the binary lithology data within the range according to the model output result, wherein the binary lithology data includes organic-rich shale and non-organic-rich shale;

[0012] A pseudo-in-situ conversion section identification module is used to identify at least one pseudo-in-situ conversion section from the organic-rich shale development section according to a set upper limit of the proportion of non-organic-rich shale in the in-situ conversion section and the binary lithology data;

[0013] The heating stratum unit division module is used to divide the quasi-in-situ conversion section into at least one heating stratum unit according to the distribution characteristics of the binary lithology and the TOC distribution characteristics.

[0014] In a third aspect, an embodiment of the present invention provides a computer storage medium, in which computer executable instructions are stored. When the computer executable instructions are executed by a processor, the above-mentioned method for fine division of heating formation units in the in-situ conversion section of shale oil is implemented.

[0015] In a fourth aspect, an embodiment of the present disclosure provides a server, comprising: a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the above-mentioned method for fine division of heating formation units in the in-situ conversion section of shale oil when executing the program.

[0016] The beneficial effects of the above technical solution provided by the embodiment of the present invention include at least:

[0017] (1) The method for fine division of heating formation units in the in-situ conversion section of shale oil provided in the embodiment of the present invention, on the basis of identifying the proposed in-situ conversion section, further carries out the subdivision of heating formation units based on binary lithology differences and TOC differences, making it possible to adopt different well layout methods, heating schemes and subsequent oil and gas development schemes for heating formation units with different geological and geochemical conditions, and providing an important geological evaluation means for the scale and efficiency development of in-situ conversion of shale oil. That is, the on-site significance of this achievement is to make it possible to design in-situ conversion development schemes in a refined and differentiated manner.

[0018] (2) The method for fine division of shale oil in-situ conversion zone heating formation units provided in the embodiment of the present invention is aimed at the specific scenario of thin interlayer lithology identification in the organic-rich shale development zone. It abandons the universal pursuit of conventional well logging lithology interpretation to interpret and characterize various lithologies developed in the study area separately, and limits the lithology interpretation objects to two types: organic-rich shale and non-organic-rich shale, thereby reducing the multi-solution of well logging lithology interpretation and improving the interpretation accuracy; at the same time, it reduces the amount of calculation and improves the recognition speed of batch interpretation of multiple wells.

[0019] (3) The method for fine division of shale oil in-situ conversion zone heating formation units provided by the embodiment of the present invention only needs to use the core data of the sample well in the stage of establishing the lithology identification model. Once the modeling is completed, only conventional logging curves need to be used in the application stage to achieve accurate lithology characterization of organic-rich shale binary. Under the premise of ensuring the interpretation accuracy, the requirements for data quality are greatly reduced.

[0020] Other features and advantages of the present invention will be described in the following description, and partly become apparent from the description, or understood by practicing the present invention. The purpose and other advantages of the present invention can be realized and obtained by the structures particularly pointed out in the written description, claims, and drawings.

[0021] The technical solution of the present invention is further described in detail below through the accompanying drawings and embodiments. BRIEF DESCRIPTION OF THE DRAWINGS

[0022] The accompanying drawings are used to provide a further understanding of the present invention and constitute a part of the specification. Together with the embodiments of the present invention, they are used to explain the present invention and do not constitute a limitation of the present invention. In the accompanying drawings:

[0023] Figure 1 This is a flow chart of a method for establishing a lithology identification model based on lithology binarization in Embodiment 1 of the present invention;

[0024] Figure 2 This is a flow chart of a method for finely dividing heating formation units in the in-situ conversion stage of shale oil in Example 2 of the present invention;

[0025] Figure 3 A comprehensive histogram of sample wells selected in the third embodiment of the present invention;

[0026] Figure 4 This is a schematic diagram of the division of the heating formation units in the shale oil in-situ conversion heating section in Example 3 of the present invention;

[0027] Figure 5 It is a schematic diagram of the structure of the device for finely dividing the heating formation units in the in-situ conversion section of shale oil in an embodiment of the present invention. DETAILED DESCRIPTION

[0028] The exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. Although the exemplary embodiments of the present disclosure are shown in the accompanying drawings, it should be understood that the present disclosure can be implemented in various forms and should not be limited by the embodiments set forth herein. On the contrary, these embodiments are provided to enable a more thorough understanding of the present disclosure and to fully convey the scope of the present disclosure to those skilled in the art.

[0029] It should be understood that the terms described in the present invention are only for describing special embodiments and are not intended to limit the present invention. In addition, for the numerical range in the present invention, it should be understood that each intermediate value between the upper and lower limits of the scope is also specifically disclosed. Each smaller range between the intermediate value in any stated value or stated range and any other stated value or intermediate value in the described range is also included in the present invention. The upper and lower limits of these smaller ranges can be independently included or excluded in the scope.

[0030] Unless otherwise indicated, all technical and scientific terms used herein have the same meanings as commonly understood by those skilled in the art to which the invention belongs. Although the present invention describes only preferred methods and materials, any methods and materials similar or equivalent to those described herein may also be used in the implementation or testing of the present invention. All documents mentioned in this specification are incorporated by reference to disclose and describe the methods and / or materials related to the documents. In the event of a conflict with any incorporated document, the content of this specification shall prevail.

[0031] The embodiment of the present application divides organic-rich shale and non-organic-rich shale based on the TOC lower limit of organic-rich shale. Specifically, the lithology of rocks with TOC greater than the lower limit is defined as organic-rich shale; and the lithology of rocks with TOC not greater than the lower limit is defined as non-organic-rich shale.

[0032] The lower limit of TOC of organic-rich shale is flexibly set according to the actual geological conditions of the study area, and can usually be set to 2%, 3% or 5%. Optionally, it can also be set to other values.

[0033] Embodiment 1

[0034] Embodiment 1 of the present invention provides a method for establishing a lithology identification model based on lithology binarization, and the process thereof is as follows Figure 1 As shown, the following steps are included:

[0035] Step S11: Determine the lower limit of the GR value of the organic-rich shale based on the binary lithology data of the core section of the target layer of the sample well.

[0036] Wells cored in the target layer of the study area are selected as sample wells; optionally, the selected wells can be divided into sample wells and verification wells. The relevant data of the verification wells do not participate in the training of the model and are only used for the later verification of the model.

[0037] Specifically, the binary lithology data of the coring section, including organic-rich shale and non-organic-rich shale, is obtained from the core description data, thin section identification data and TOC detection data of the coring section of the target layer of the sample well. The acquisition process includes the following steps:

[0038] (1) Based on the thin section identification data of the core sampling section of the target layer of the sample well, the lithology description data in the core description data is corrected to obtain preliminary lithology data, which includes mud shale.

[0039] The lithology description data in the core description data is only the lithology description made by geologists based on their experience of visual observation of the core. Due to the limitations of visual observation and the influence of subjective factors, the accuracy of the lithology description data needs to be further corrected. The thin section identification data can accurately realize the lithology naming, but the thin section identification data has limited sampling after all. Therefore, the lithology description data in the core description data is based on the verification of the thin section identification data to obtain preliminary lithology data.

[0040] The preliminary description data obtained may include clastic rocks such as shale, coarse sandstone, medium sandstone, fine sandstone and siltstone, and may also include carbonate rocks or other rock types.

[0041] (2) Based on the TOC detection data, the mudstone with a TOC value greater than the preset lower limit of the TOC of organic-rich shale in the preliminary lithological data is determined as organic-rich shale, and the binary lithological data of the coring section is obtained.

[0042] Mud shale with a TOC value not greater than the lower limit of the TOC value of organic-rich shale, as well as other lithologies except mud shale, are identified as non-organic-rich shale.

[0043] The lower limit of TOC of organic-rich shale is flexibly set according to the actual geological conditions of the study area, and can usually be set to 2%, 3% or 5%. Optionally, it can also be set to other values.

[0044] Determining the lower limit of the GR value of organic-rich shale may include, based on the binary lithology data and GR curve of the sample well, extracting the lithology and GR value of the sampling points with thin section identification data and TOC detection data; and obtaining the lower limit of the GR value of the organic-rich shale based on the lithology and GR values ​​of multiple sampling points.

[0045] Since the lithology identification in this embodiment is based on the well logging curve, the well logging curve of the sample well must first be standardized; after obtaining the preliminary lithology data or binary lithology data of the coring section, the standardized well logging curve is depth-reset.

[0046] The GR values ​​of the above sampling points are extracted from the GR curve after standardization and depth return.

[0047] Step S12: taking the binary lithology data of the coring section and the curve section of the selected sensitive curve as a sample to establish a sample set.

[0048] In some embodiments, after obtaining the binary lithology data of the coring section, the method further includes screening the sensitivity curves of organic-rich shale and non-organic-rich shale from all types of logging curves of the sample well.

[0049] The sensitivity analysis method can be used to optimize the lithology sensitivity curve for organic-rich shale and select the curve that is most sensitive to organic-rich shale and its interlayers. The lithology sensitivity analysis method automatically calculates the correlation between each curve and lithology and directly selects the curve with the best correlation.

[0050] Step S13: Use the sample set to train the selected neural network model, establish a lithology recognition model, and input the GR value lower limit into the lithology recognition model.

[0051] The lower limit of GR value is used to locate the development section of organic-rich shale.

[0052] Embodiment 2

[0053] Embodiment 2 of the present invention provides a method for finely dividing the heating formation units in the in-situ conversion section of shale oil, see Figure 2 As shown, the following steps are included:

[0054] Step S21: inputting the sensitivity curve of the target well into the lithology identification model, and obtaining the depth range of the organic-rich shale development section and the binary lithology data within the range according to the output result of the model.

[0055] The binary lithology data includes organic-rich shale and non-organic-rich shale. Specifically, a column chart of the binary lithology section and the TOC section of the organic-rich shale development section can be established.

[0056] The lithology identification model is pre-established in the manner described in the first embodiment above.

[0057] The working principle of the lithology identification model is to preliminarily locate the organic-rich shale development section based on the GR value lower limit of the organic-rich shale and the GR curve of the target well. According to the neural network learning results of the corresponding sensitive curve section of the organic-rich shale development section, its binary lithology data is determined to obtain the results for output.

[0058] That is, the lower limit of the GR value of organic-rich shale is first used to roughly locate the organic-rich shale development section, and then the lithology identification model is used to make a fine and high-resolution binary lithology prediction for the organic-rich shale development section.

[0059] Furthermore, if there is coring data for the organic-rich shale development section of the target well, the lithology profile is established based on the binary lithology description data of the coring data; if the binary lithology description data in the coring data is incomplete, the lithology data is supplemented in combination with the model output results to establish a binary lithology profile.

[0060] The establishment of the TOC profile can be, if there are continuous measured TOC values ​​(sampling interval is not more than 0.5 meters) in the organic-rich shale development section of the target well, the TOC profile is established using the measured TOC values; if there are no or only partial measured TOC values ​​in the organic-rich shale development section of the target well, the measured TOC values ​​are used first, and the interpreted TOC values ​​of the TOC interpretation model are used to supplement the measured TOC data for the remaining parts to establish the TOC profile.

[0061] Step S22: According to the set upper limit of the proportion of non-organic-rich shale in the in-situ conversion section and the binary lithology data, at least one pseudo-in-situ conversion section is identified from the organic-rich shale development section.

[0062] The thickness ratio of non-organic-rich shale in the identified proposed in-situ conversion section shall not exceed the upper limit of the ratio of non-organic-rich shale in the in-situ conversion section.

[0063] The upper limit of the proportion of non-organic-rich shale in the in-situ conversion stage can usually be set to 20%. Optionally, it can also be set to other values ​​according to relevant regulations or actual research needs.

[0064] Step S23: Divide the quasi-in-situ conversion section into at least one heated formation unit according to the distribution characteristics of the binary lithology and the TOC distribution characteristics.

[0065] Specifically, the division of the heating formation units in the proposed in-situ conversion stage is based on the following principles:

[0066] The TOC difference between the heated formation unit and the adjacent unit satisfies the first set difference, and / or the lithology combination difference between the heated formation unit and the adjacent unit satisfies the second set difference.

[0067] Furthermore, the first set difference includes the difference in overall TOC value and / or the difference in overall TOC curve morphology; the second set difference includes the difference in the number of non-organic-rich shale layers and / or the difference in the thickness of non-organic-rich shale layers.

[0068] There are three situations in which a shale oil in-situ conversion heated formation unit is different from an adjacent heated formation unit. Situation 1: the heated formation unit and its adjacent units have significantly different TOC value curve characteristics, such as overall TOC value difference, or overall TOC value curve morphology difference. The specific difference needs to be determined in combination with actual conditions in different embodiments. Situation 2: there is no obvious TOC value curve characteristic difference between the heated formation unit and its adjacent units, but there is an obvious lithologic combination difference, such as the number of interlayers, or the difference in the thickness of a single interlayer, etc. The specific difference needs to be determined in combination with actual conditions in different embodiments. Situation 3: the heated formation unit and its adjacent units have both TOC value curve characteristic differences and lithologic combination differences.

[0069] In some embodiments, before inputting the sensitivity curve of the target well into the lithology identification model, the process further includes removing the high GR value abnormal values ​​of non-organic-rich shale from the sensitivity curve of the target well using the rock logging data. For example, the interference of special high GR rocks on the high GR response of organic-rich shale is removed, such as high uranium content sandstone.

[0070] The second embodiment of the present application provides a method for fine division of shale oil in-situ conversion section heating formation units, wherein the working principle of the binary lithology interpretation method is: based on the fact that organic-rich shale is formed in a reducing environment that makes uranium elements easier to precipitate, resulting in the characteristics of high uranium and high natural gamma that are different from other lithologies, natural gamma is combined with conventional rock cuttings logging to eliminate the interference of other non-shale high GR rocks (such as sandstone-type uranium mines), and the vertical distribution of high GR organic-rich shale development sections is identified. In the identified organic-rich shale development section, by automatically calculating the correlation between various conventional logging curves and organic-rich shale, the curve with the best correlation is directly selected as the input curve, and a neural network method is used to automatically establish a lithology identification model for organic-rich shale and non-organic-rich shale. The interpretation results are consistent with the actual results through continuous verification and iteration of the lithology identification model by the verification well. Finally, the front-end inputs various conventional logging curves, and the terminal automatically generates a high-precision lithology profile containing organic-rich shale and non-organic-rich shale.

[0071] The method for fine division of heating formation units in the in-situ conversion section of shale oil provided in the second embodiment of the present invention, on the basis of identifying the proposed in-situ conversion section, further carries out the subdivision of heating formation units based on binary lithology differences and TOC differences, making it possible to adopt different well layout methods, heating schemes and subsequent oil and gas development schemes for heating formation units with different geological and geochemical conditions, and providing an important geological evaluation means for the scale-effective development of in-situ conversion of shale oil. That is, the on-site significance of this achievement is to make it possible to design in-situ conversion development schemes in a refined and differentiated manner.

[0072] The method for fine division of shale oil in-situ conversion section heating formation units provided in Example 2 of the present invention is aimed at the specific scenario of thin interlayer lithology identification in organic-rich shale development section. It abandons the universal pursuit of conventional well logging lithology interpretation to interpret and characterize various lithologies developed in the study area separately, and limits the lithology interpretation objects to two types: organic-rich shale and interlayer (non-organic-rich shale), thereby reducing the multi-solution of well logging lithology interpretation and improving the interpretation accuracy; at the same time, it reduces the amount of calculation and improves the recognition speed of batch interpretation of multiple wells.

[0073] The method for fine division of shale oil in-situ conversion section heating formation units provided in the second embodiment of the present invention only needs to use the core data of the sample well in the stage of establishing the lithology identification model. Once the modeling is completed, only conventional logging curves need to be used in the application stage to achieve high-precision characterization of the binary lithology of organic-rich shale. Under the premise of ensuring the accuracy of interpretation, the requirements for data quality are greatly reduced.

[0074] The method for fine division of heating formation units in the in-situ conversion section of shale oil provided in Example 2 of the present invention adopts artificial intelligence methods such as neural networks to eliminate human influence as much as possible and further improve the reliability of lithological interpretation.

[0075] Embodiment 3

[0076] The third embodiment of the present invention provides a specific application of a method for finely dividing shale oil in-situ conversion stage heating formation units, comprising the following steps:

[0077] S1: The shale oil in-situ conversion heating section in the sample well selected in the embodiment has continuous core samples, complete conventional logging curves, and systematic sampling and TOC testing have been carried out in the shale section, see Figure 3 shown.

[0078] S2: Standardize the logging curves of the sample wells. After lithology identification and TOC detection are carried out for the heated shale section, the lithology of the shale section is binarized into two categories: organic-rich shale and interlayer. The core and logging curve depth relocation, binary lithology sensitivity curve screening, and logging lithology identification model establishment are carried out in sequence. In this embodiment, the determined binary lithology sensitivity curves are natural gamma (GR), neutron compensation (CNL), and acoustic time difference (AC).

[0079] S3: A TOC logging interpretation model is established using the continuous TOC detection data (sampling interval is 0.1m-0.2m) of the organic-rich shale development section of the sample well, as well as the deep resistivity (RD), natural gamma (GR), and density (DEN) logging curve data.

[0080] S4: Using the lithology identification model and TOC logging interpretation model established in steps S2 and S3, a heating stratigraphic unit division histogram including a binary lithology profile and a TOC profile is established, see Figure 3 shown.

[0081] S5: Determine the division scheme of the heating formation unit in combination with the bar chart established in step S4. In this embodiment, the shale oil in-situ conversion heating section is subdivided into three heating formation units: T1, T2, and T3. The shale in the T1 section is pure, without interlayers, and has a high overall TOC; the T2 section has two sets of sand interlayers locally developed, and the TOC is relatively high overall; the T3 section has mixed shale and sandstone interlayers, with relatively developed sandstone interlayers, and the shale TOC is the lowest among the three, see Figure 4 shown.

[0082] Based on the inventive concept of the present invention, the embodiment of the present invention also provides a shale oil in-situ conversion section heating formation unit fine division device, the structure of the device is as follows: Figure 5 As shown, including:

[0083] A binary lithology prediction module 51 is used to input the sensitivity curve of the target well into the lithology identification model, and obtain the depth range of the organic-rich shale development section and the binary lithology data within the range according to the model output result, wherein the binary lithology data includes organic-rich shale and non-organic-rich shale;

[0084] A quasi-in-situ conversion section identification module 52 is used to identify at least one quasi-in-situ conversion section from the organic-rich shale development section according to a set upper limit of the proportion of non-organic-rich shale in the in-situ conversion section and the binary lithology data;

[0085] The heating formation unit division module 53 is used to divide the quasi-in-situ conversion section into at least one heating formation unit according to the distribution characteristics of the binary lithology and the TOC distribution characteristics.

[0086] In some embodiments, the above device further includes a lithology identification model establishment module 54, which is used to pre-establish a lithology identification model in the following manner:

[0087] The GR value lower limit of the organic-rich shale is determined according to the binary lithology data of the coring section of the target layer of the sample well; the binary lithology data of the coring section and the curve section of the selected sensitive curve are taken as a sample to establish a sample set; the selected neural network model is trained by using the sample set to establish a lithology recognition model, and the GR value lower limit is input into the lithology recognition model, and the GR value lower limit is used to locate the organic-rich shale development section.

[0088] In some embodiments, the heating formation unit division module 53 is used to divide the quasi-in-situ conversion section into at least one heating formation unit according to the following principles:

[0089] The TOC difference between the heating formation unit in the in-situ conversion section of shale oil and the adjacent units meets the first set difference, and / or the lithology combination difference with the adjacent units meets the second set difference.

[0090] In some embodiments, the lithology identification model building module 54 is used to obtain the binary lithology data of the coring section of the target layer of the sample well in the following manner:

[0091] According to the thin section identification data of the coring section of the target layer of the sample well, the lithology description data in the core description data is corrected to obtain preliminary lithology data, and the preliminary lithology data includes mud shale; according to the TOC detection data, the mud shale in the preliminary lithology data whose TOC value is greater than the preset organic-rich shale TOC lower limit is determined as organic-rich shale, and the binary lithology data of the coring section is obtained.

[0092] In some embodiments, the lithology identification model building module 54 is used to extract the lithology and GR value of the sampling points with thin section identification data and TOC detection data based on the binary lithology data and GR curve of the sample well; according to the lithology and GR values ​​of multiple sampling points, the lower limit of the GR value of organic-rich shale is statistically obtained.

[0093] In some embodiments, the binary lithology prediction module 51, before inputting the sensitivity curve of the target well into the lithology identification model, is further used to:

[0094] Using cuttings logging data, the sensitivity curves of the target wells were used to eliminate outliers with high GR values ​​in non-organic-rich shales.

[0095] Regarding the device in the above embodiment, the specific manner in which each module performs operations has been described in detail in the embodiment of the method, and will not be elaborated here.

[0096] Based on the inventive concept of the present invention, an embodiment of the present invention further provides a computer storage medium, in which computer executable instructions are stored. When the computer executable instructions are executed by a processor, the above-mentioned method for fine division of heating formation units in the in-situ conversion section of shale oil is implemented.

[0097] Based on the inventive concept of the present invention, an embodiment of the present invention also provides a server, including: a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein when the processor executes the program, the above-mentioned method for fine division of heating formation units in the in-situ conversion section of shale oil is implemented.

[0098] Unless otherwise specifically stated, terms such as processing, computing, calculating, determining, displaying, etc. may refer to the actions and / or processes of one or more processing or computing systems, or similar devices, which operate and convert data represented as physical (e.g., electronic) quantities within registers or memories of a processing system into other data similarly represented as physical quantities within memories, registers, or other such information storage, transmission, or display devices of the processing system. Information and signals may be represented using any of a variety of different techniques and methods. For example, data, instructions, commands, information, signals, bits, symbols, and chips mentioned throughout the above description may be represented by voltages, currents, electromagnetic waves, magnetic fields or particles, light fields or particles, or any combination thereof.

[0099] It should be understood that the specific order or hierarchy of steps in the disclosed process is an example of an exemplary method. Based on design preferences, it should be understood that the specific order or hierarchy of steps in the process can be rearranged without departing from the scope of protection of the present disclosure. The attached method claims present the elements of the various steps in an exemplary order and are not intended to be limited to the specific order or hierarchy described.

[0100] In the above detailed description, various features are grouped together in a single embodiment to simplify the disclosure. This method of disclosure should not be interpreted as reflecting an intention that an embodiment of the claimed subject matter requires more features than those set forth in each claim. On the contrary, as reflected in the appended claims, the invention is in a state of having less than all the features of the disclosed individual embodiments. Therefore, the appended claims are hereby expressly incorporated into the detailed description, with each claim standing on its own as a separate preferred embodiment of the invention.

[0101] Those skilled in the art will also appreciate that the various illustrative logic blocks, modules, circuits, and algorithmic steps described in conjunction with the embodiments herein can all be implemented as electronic hardware, computer software, or a combination thereof. In order to clearly illustrate the interchangeability between hardware and software, various illustrative components, blocks, modules, circuits, and steps are generally described above around their functions. Whether such functions are implemented as hardware or software depends on specific applications and the design constraints imposed on the entire system. A skilled person can implement the described functions in an alternative manner for each specific application, but such implementation decisions should not be interpreted as departing from the scope of protection of the present disclosure.

[0102] The steps of the method or algorithm described in conjunction with the embodiments herein may be directly embodied as hardware, a software module executed by a processor, or a combination thereof. The software module may be located in a RAM memory, a flash memory, a ROM memory, an EPROM memory, an EEPROM memory, a register, a hard disk, a mobile disk, a CD-ROM, or any other form of storage medium well known in the art. An exemplary storage medium is connected to the processor so that the processor can read information from the storage medium and can write information to the storage medium. Of course, the storage medium may also be an integral part of the processor. The processor and the storage medium may be located in an ASIC. The ASIC may be located in a user terminal. Of course, the processor and the storage medium may also be present in a user terminal as discrete components.

[0103] For software implementation, the techniques described in this application can be implemented with modules (e.g., procedures, functions, etc.) that perform the functions described in this application. These software codes can be stored in a memory unit and executed by a processor. The memory unit can be implemented within the processor or outside the processor. In the latter case, it is coupled to the processor in a communication manner via various means, which are well known in the art.

[0104] The above description includes examples of one or more embodiments. Of course, it is impossible to describe all possible combinations of components or methods for the purpose of describing the above embodiments, but it should be recognized by those skilled in the art that the various embodiments can be further combined and arranged. Therefore, the embodiments described herein are intended to cover all such changes, modifications and variations that fall within the scope of protection of the appended claims. In addition, with respect to the term "comprising" used in the specification or claims, the word is covered in a manner similar to the term "including", just as "including," explained as a transitional word in the claims. In addition, any term "or" used in the specification of the claims is intended to represent "non-exclusive or". The terms "first" and "second" are used for descriptive purposes only and are not to be understood as indicating or implying relative importance.

Claims

1. A method for fine division of heating formation units in the in-situ conversion section of shale oil, characterized in that: include: Inputting the sensitivity curve of the target well into the lithology identification model, and obtaining the depth range of the organic-rich shale development section and the binary lithology data within the range according to the output result of the model, wherein the binary lithology data includes organic-rich shale and non-organic-rich shale; According to the set upper limit of the proportion of non-organic-rich shale in the in-situ conversion section and the binary lithology data, at least one pseudo-in-situ conversion section is identified from the organic-rich shale development section; According to the distribution characteristics of binary lithology and TOC distribution characteristics, the pseudo-in-situ conversion section is divided into at least one heated formation unit.

2. The method according to claim 1, characterized in that The lithology identification model is pre-established in the following manner: According to the binary lithology data of the core section of the target layer in the sample well, the lower limit of the GR value of organic-rich shale is determined; The binary lithology data of the coring section and the curve section of the selected sensitive curve are taken as a sample to establish a sample set; The selected neural network model is trained using the sample set to establish a lithology identification model, and the GR value lower limit is input into the lithology identification model. The GR value lower limit is used to locate the organic-rich shale development section.

3. The method according to claim 2, characterized in that The model output result is obtained by the lithology identification model in the following way: Locating the organic-rich shale development section according to the GR value lower limit and the GR curve of the target well; According to the neural network learning result of the corresponding sensitive curve segment of the organic-rich shale development segment, the binary lithology data thereof is determined to obtain the result for output.

4. The method according to claim 1, characterized in that The step of dividing the quasi-in-situ conversion section into at least one heated formation unit comprises: The quasi-in-situ conversion section is divided into at least one heating formation unit according to the following principles: The TOC difference between the heated formation unit and the adjacent unit satisfies the first set difference, and / or the lithology combination difference between the heated formation unit and the adjacent unit satisfies the second set difference.

5. The method according to claim 4, characterized in that The first setting difference includes an overall TOC value difference and / or an overall TOC curve morphology difference; The second set difference includes a difference in the number of non-organic-rich shale layers and / or a difference in the thickness of the non-organic-rich shale layers.

6. The method according to claim 2, characterized in that The binary lithology data of the core section of the target layer of the sample well is obtained by the following method: According to the thin section identification data of the coring section of the target layer of the sample well, the lithology description data in the core description data is corrected to obtain preliminary lithology data, wherein the preliminary lithology data includes mud shale; According to the TOC detection data, the mud shale with a TOC value greater than a preset lower limit of TOC of organic-rich shale in the preliminary lithology data is determined as organic-rich shale, and the binary lithology data of the coring section is obtained.

7. The method according to claim 6, characterized in that Determining the lower limit of the GR value of organic-rich shale includes: Based on the binary lithology data and GR curve of the sample well, the lithology and GR value of the sampling point with thin section identification data and TOC detection data are extracted; According to the lithology and GR values ​​of multiple sampling points, the lower limit of the GR value of organic-rich shale was obtained statistically.

8. The method according to claim 1, characterized in that Before inputting the sensitivity curve of the target well into the lithology identification model, the method further includes: Using cuttings logging data, the sensitivity curves of the target wells were used to eliminate outliers with high GR values ​​in non-organic-rich shales.

9. The method according to any one of claims 1 to 8, characterized in that: The upper limit of the proportion of non-organic-rich shale in the in-situ conversion stage is 20%.

10. A device for fine division of shale oil in-situ conversion section heating formation units, characterized in that: The device comprises: A binary lithology prediction module is used to input the sensitivity curve of the target well into the lithology identification model, and obtain the depth range of the organic-rich shale development section and the binary lithology data within the range according to the model output result, wherein the binary lithology data includes organic-rich shale and non-organic-rich shale; A pseudo-in-situ conversion section identification module is used to identify at least one pseudo-in-situ conversion section from the organic-rich shale development section according to a set upper limit of the proportion of non-organic-rich shale in the in-situ conversion section and the binary lithology data; The heating stratum unit division module is used to divide the quasi-in-situ conversion section into at least one heating stratum unit according to the distribution characteristics of the binary lithology and the TOC distribution characteristics.

11. A computer storage medium, characterized in that: The computer storage medium stores computer executable instructions, which, when executed by a processor, implement the method for fine division of heating formation units in the in-situ conversion section of shale oil as described in any one of claims 1 to 9.

12. A server, characterized in that: include: A memory, a processor, and a computer program stored in the memory and executable on the processor, wherein when the processor executes the program, the method for fine division of heating formation units in the in-situ conversion section of shale oil as claimed in any one of claims 1 to 9 is implemented.

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