Shale lithofacies identification method, device and equipment based on cross plot technology and medium

Abstract

The invention discloses a shale lithofacies recognition method, device and equipment based on a cross plot technology and a medium, and relates to the technical field of petroleum and natural gas exploration and development, and the method comprises the steps: obtaining natural gamma data, resistivity data and interval transit time data of a to-be-recognized shale lithofacies; drawing a lithology intersection curve based on the natural gamma data and the resistivity data by adopting a cross plot technology, and analyzing the lithology intersection curve to obtain shale lithology; drawing and analyzing a shale organic characteristic intersection curve and a shale structure intersection curve based on the resistivity data and the interval transit time data to obtain shale organic characteristics and a shale structure; comprehensively analyzing the shale lithology, the shale organic characteristics and the shale structure by utilizing the lithology intersection curve, the shale organic characteristic intersection curve and the shale structure intersection curve to obtain an analysis result; and identifying the shale lithofacies to be identified according to the analysis result to obtain a shale lithofacies identification result. The shale lithofacies can be comprehensively identified, and the shale lithofacies identification accuracy and efficiency are improved.

Description

Technical Field

[0001] This invention relates to the field of oil and gas exploration and development technology, and in particular to a method, apparatus, equipment and medium for identifying shale facies based on cross-plot technology. Background Technology

[0002] Shale lithofacies are a key factor influencing oil production in shale reservoirs. Shale lithofacies are diverse and highly variable, making their identification challenging. Traditional shale lithofacies identification typically involves core sampling, using mineral composition analysis, organic carbon content measurement, and observation and analysis of rock structure to comprehensively identify the lithofacies. However, this method is only applicable to the cored well sections and has limitations. Existing shale lithofacies identification methods rely solely on lithology (mineral content), reflecting only one aspect of the lithofacies. They identify only four lithofacies types, neglecting important factors in the shale geological environment such as organic matter and rock structure. They fail to reflect other geological characteristics of shale lithofacies besides lithology and require calibration based on existing mineral composition test data, further limiting their effectiveness.

[0003] As can be seen from the above, how to comprehensively identify shale facies and improve the accuracy and efficiency of shale facies identification is a problem that needs to be solved in this field. Summary of the Invention

[0004] In view of this, the purpose of this invention is to provide a method, apparatus, device, and medium for shale lithofacies identification based on cross-plotting technology, which can comprehensively identify shale lithofacies and improve the accuracy and efficiency of shale lithofacies identification. The specific solution is as follows:

[0005] In a first aspect, this application discloses a shale lithofacies identification method based on cross-plot technology, including:

[0006] Acquire natural gamma data, resistivity data, and acoustic transit time data of the shale facies to be identified;

[0007] Cross plotting techniques were used to plot shale lithology cross plots based on the natural gamma data and the resistivity data. The shale lithology cross plots were then analyzed to obtain the shale lithology.

[0008] Based on the resistivity data and the acoustic transit time data, cross-plot curves of shale organic properties and shale structure are plotted respectively. The cross-plot curves of shale organic properties and shale structure are analyzed respectively to obtain the organic properties and structure of shale.

[0009] The lithology, organic properties, and structure of the shale are comprehensively analyzed using the cross-plot curves of the shale lithology, the shale organic properties, and the shale structure to obtain the analysis results.

[0010] Based on the analysis results, the shale facies to be identified are identified to obtain the shale facies identification results.

[0011] Optionally, the step of employing cross-plot technology and plotting shale lithology cross-plot curves based on the natural gamma data and the resistivity data, and analyzing the shale lithology cross-plot curves to obtain the shale lithology, includes:

[0012] The cross-plot technique was used to plot the natural gamma curve and the resistivity curve based on the natural gamma data and the resistivity data, respectively.

[0013] A cross-hatching curve of the shale lithology, including the natural gamma curve and the resistivity curve, is plotted. The natural gamma curve and the resistivity curve in the cross-hatching curve of the shale lithology are analyzed to obtain the shale lithology.

[0014] Optionally, the analysis of the natural gamma curve and the resistivity curve in the shale lithology cross-plot to obtain the shale lithology includes:

[0015] Analyze the natural gamma curve and the resistivity curve in the shale lithology cross-hatching curve. If the natural gamma curve and the resistivity curve show a positive divergence, then the shale lithology is determined to be calcareous shale.

[0016] If the natural gamma curve and the resistivity curve show a negative divergence, then the shale lithology is determined to be clayey shale.

[0017] If the natural gamma curve and the resistivity curve overlap, the shale lithology is determined to be siliceous shale.

[0018] Optionally, a cross-plot of shale organic properties is plotted based on the resistivity data and the acoustic transit time data, including:

[0019] The cross-plotting technique is used to plot resistivity curves and acoustic transit time curves based on the resistivity data and the acoustic transit time data;

[0020] Plot a cross-hatching curve of the organic properties of the shale, which includes the resistivity curve and the acoustic transit time curve.

[0021] Optionally, the cross-plot curves of the shale organic properties are analyzed to obtain the shale organic properties, including:

[0022] Analyze the resistivity curve and the acoustic transit time curve in the cross-plot of the organic properties of the shale. If the resistivity curve and the acoustic transit time curve overlap, the organic properties of the shale are determined to be organic-containing shale.

[0023] If the deviation between the resistivity curve and the acoustic transit time curve is greater than a preset deviation range, then the shale is determined to be an organic-rich shale.

[0024] Optionally, the cross-hatching curves of the shale structure can be analyzed to obtain the shale structure, including:

[0025] The resistivity curve and acoustic transit time curve in the intersection curve of the shale structure are analyzed. If the amplitude change and amplitude difference of the resistivity curve and the acoustic transit time curve meet the preset amplitude conditions, the shale structure is determined to be a blocky structure.

[0026] If the amplitude changes and amplitude differences of the resistivity curve and the acoustic time difference curve do not meet the preset amplitude conditions, then the shale structure is determined to be a layered structure.

[0027] Optionally, the step of identifying the shale facies to be identified based on the analysis results includes:

[0028] Cross-plotting techniques were used to identify the shale facies to be identified based on the analysis results. The types of shale facies to be identified include organic-rich massive clayey facies, organic-rich massive siliceous facies, organic-rich massive limestone facies, organic-containing massive clayey facies, organic-containing massive siliceous facies, organic-containing massive limestone facies, organic-rich layered clayey facies, organic-rich layered siliceous facies, organic-rich layered limestone facies, organic-containing layered clayey facies, organic-containing layered siliceous facies, and organic-containing layered limestone facies.

[0029] Secondly, this application discloses a shale lithofacies identification device based on cross-plot technology, comprising:

[0030] The data acquisition module is used to acquire natural gamma data, resistivity data, and acoustic transit time data of the shale facies to be identified.

[0031] The lithology analysis module is used to plot shale lithology cross-plots using cross-plot technology and based on the natural gamma data and the resistivity data, and to analyze the shale lithology cross-plots to obtain the shale lithology.

[0032] The organic properties and structure analysis module is used to plot the shale organic property cross curve and the shale structure cross curve based on the resistivity data and the acoustic transit time data, respectively, and to analyze the shale organic property cross curve and the shale structure cross curve to obtain the shale organic properties and shale structure.

[0033] The comprehensive analysis module is used to perform a comprehensive analysis of the shale lithology, organic properties, and structure using the shale lithology cross-section curve, the shale organic property cross-section curve, and the shale structure cross-section curve, so as to obtain the analysis results;

[0034] The shale facies identification module is used to identify the shale facies to be identified based on the analysis results, so as to obtain the shale facies identification result.

[0035] Thirdly, this application discloses an electronic device, including:

[0036] Memory, used to store computer programs;

[0037] A processor is used to execute the computer program to implement the aforementioned shale facies identification method based on intersection plot technology.

[0038] Fourthly, this application discloses a computer storage medium for storing a computer program; wherein, when the computer program is executed by a processor, it implements the steps of the aforementioned disclosed shale lithofacies identification method based on cross-plot technology.

[0039] As can be seen, this application provides a shale lithofacies identification method based on cross-plot technology, including acquiring natural gamma data, resistivity data, and acoustic transit time data of the shale lithofacies to be identified; using cross-plot technology and drawing shale lithology cross-plot curves based on the natural gamma data and the resistivity data, and analyzing the shale lithology cross-plot curves to obtain shale lithology; drawing shale organic property cross-plot curves and shale structure cross-plot curves based on the resistivity data and the acoustic transit time data, and analyzing the shale organic property cross-plot curves and the shale structure cross-plot curves to obtain shale organic properties and shale structure; using the shale lithology cross-plot curves, the shale organic property cross-plot curves, and the shale structure cross-plot curves to perform a comprehensive analysis of the shale lithology, the shale organic properties, and the shale structure to obtain analysis results; and identifying the shale lithofacies to be identified based on the analysis results to obtain shale lithofacies identification results. This application employs cross-plot technology and, based on natural gamma data, resistivity data, and sonic transit time data of the shale facies to be identified, plots shale lithology cross-plots, shale organic property cross-plots, and shale structure cross-plots. This enables rapid and continuous identification of shale facies. The application comprehensively analyzes shale lithology, organic properties, and structure using these cross-plots. Finally, based on the analysis results, the shale facies to be identified is determined, yielding shale facies identification results. The identified facies encompasses lithology, structure, and organic matter, providing a comprehensive and holistic identification of shale facies. This approach aligns with current understanding of facies in shale oil geological evaluation, serves as an indicator for shale oil and gas discovery, and improves the accuracy and efficiency of shale facies identification. Attached Figure Description

[0040] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on the provided drawings without creative effort.

[0041] Figure 1 This is a flowchart of a shale lithofacies identification method based on cross-plot technology disclosed in this application;

[0042] Figure 2 This is an example diagram of a shale lithology cross-section curve disclosed in this application;

[0043] Figure 3 This is an example diagram of a cross-sectional curve of the organic properties of shale disclosed in this application;

[0044] Figure 4This is an example diagram of a cross-section curve of a shale structure disclosed in this application;

[0045] Figure 5 This is a flowchart illustrating a shale lithofacies identification method disclosed in this application.

[0046] Figure 6 This is a flowchart of a shale lithofacies identification method based on cross-plot technology disclosed in this application;

[0047] Figure 7 An example image showing the identification results of a specific shale lithofacies disclosed in this application;

[0048] Figure 8 This is a schematic diagram of a shale lithofacies identification device based on cross-plot technology disclosed in this application;

[0049] Figure 9 This application provides a structural diagram of an electronic device. Detailed Implementation

[0050] 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, and 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.

[0051] Shale lithofacies are a key factor influencing oil production in shale reservoirs. Shale lithofacies are diverse and highly variable, making their identification challenging. Traditional methods typically involve core sampling, using mineral composition analysis, organic carbon content measurement, and observation and analysis of rock structure to comprehensively identify lithofacies. However, this method is only applicable to the cored well sections and has limitations. Existing shale lithofacies identification methods rely solely on lithology (mineral content), reflecting only one aspect of the lithofacies and identifying only four types. This neglects important factors in the shale geological environment, such as organic matter and rock structure, and fails to reflect other geological characteristics of shale lithofacies besides lithology. Furthermore, it requires calibration based on existing mineral composition test data, further limiting its effectiveness. Therefore, a comprehensive and thorough identification of shale lithofacies, improving its accuracy and efficiency, remains a problem to be solved in this field.

[0052] See Figure 1 As shown, this embodiment of the invention discloses a shale lithofacies identification method based on cross-plotting technology, which specifically includes:

[0053] Step S11: Obtain natural gamma data, resistivity data, and acoustic transit time data of the shale facies to be identified.

[0054] Step S12: Using cross plot technology and based on the natural gamma data and the resistivity data, plot the shale lithology cross plot curve, and analyze the shale lithology cross plot curve to obtain the shale lithology.

[0055] In this embodiment, the shale mineral components mainly include clayey, siliceous, and calcareous (including dolomitic) minerals. Based on the minerals with the highest content, shale can be divided into three categories: clayey shale, siliceous shale, and calcareous shale. Shale formations with different mineral contents exhibit different response characteristics on natural gamma and resistivity curves: clayey shale shows high gamma and low resistivity characteristics, siliceous shale shows medium gamma and medium resistivity characteristics, and calcareous shale shows low gamma and high resistivity characteristics. Based on natural gamma and resistivity data, shale lithology cross-reference curves are plotted, such as... Figure 2 As shown, two curves in the shale lithology cross-hatching curve are analyzed to obtain the shale lithology.

[0056] Step S13: Based on the resistivity data and the acoustic transit time data, plot the cross-sectional curves of shale organic properties and shale structure respectively, and analyze the cross-sectional curves of shale organic properties and shale structure respectively to obtain the organic properties and structure of shale.

[0057] In this embodiment, the process of plotting and analyzing the cross-plot curve of shale organic properties is as follows: Using the cross-plot technique and based on the resistivity data and the acoustic transit time data, a resistivity curve and an acoustic transit time curve are plotted; the cross-plot curve of shale organic properties containing the resistivity curve and the acoustic transit time curve is plotted; then, the resistivity curve and the acoustic transit time curve in the cross-plot curve of shale organic properties are analyzed. If the resistivity curve and the acoustic transit time curve overlap, the shale organic properties are determined to be organic-containing shale; if the divergence between the resistivity curve and the acoustic transit time curve is greater than a preset divergence range, the shale organic properties are determined to be organic-rich shale.

[0058] Based on the organic carbon content, shale can be divided into two types: organic-rich and organic-containing. Before the organic matter has evolved to the graphitization stage, its logging response is characterized by high acoustic transit time and high resistivity. The higher the organic carbon content, the higher the acoustic transit time and resistivity values. Plotting the resistivity curve and acoustic transit time curve on the same graph, as shown... Figure 3 As shown, when the resistivity curve and the sonic transit time curve basically overlap, it is shale containing organic matter; when the two curves diverge significantly (high resistivity, high sonic transit time), it is shale rich in organic matter.

[0059] In this embodiment, the process of plotting and analyzing the cross-plot curve of the shale structure is as follows: Using the cross-plot technique and based on the resistivity data and the acoustic transit time data, a resistivity curve and an acoustic transit time curve are plotted; the cross-plot curve of the shale structure containing the resistivity curve and the acoustic transit time curve is plotted; then, the resistivity curve and the acoustic transit time curve in the cross-plot curve of the shale structure are analyzed. If the amplitude change and amplitude difference of the resistivity curve and the acoustic transit time curve meet a preset amplitude condition, the shale structure is determined to be a blocky structure; if the amplitude change and amplitude difference of the resistivity curve and the acoustic transit time curve do not meet the preset amplitude condition, the shale structure is determined to be a layered structure.

[0060] By intersecting resistivity and acoustic transit time curves, the rock structure of shale can be divided into massive and layered types. Plotting resistivity and acoustic transit time curves on the same graph, as shown... Figure 4 As shown, when the resistivity curve and the acoustic time difference curve change gently with a small amplitude difference between the curves, it is a blocky structure; when the two curves change in a sawtooth pattern with a large amplitude difference between the curves, it is a layered structure.

[0061] Step S14: Use the shale lithology cross-plot curve, the shale organic property cross-plot curve, and the shale structure cross-plot curve to perform a comprehensive analysis of the shale lithology, the shale organic property, and the shale structure to obtain the analysis results.

[0062] Step S15: Identify the shale facies to be identified based on the analysis results to obtain shale facies identification results.

[0063] This application employs cross-plot technology and, based on natural gamma ray data, resistivity data, and sonic transit time data of the shale facies to be identified, plots pairwise cross-plot curves for shale lithology, shale organic properties, and shale structure. These curves are then used to comprehensively analyze shale mineral composition, structure, and organic carbon (i.e., shale lithology, shale organic properties, and shale structure). Finally, the comprehensive analysis results are used to identify the shale facies. This application utilizes well logging cross-plot technology to identify shale facies conditions in a simple manner, requiring only conventional well logging data, without the need for special logging projects or core calibration. It is fast, continuous, and reliable, and can identify facies encompassing lithology, structure, and organic matter, demonstrating strong comprehensiveness and aligning with current understanding of shale oil geological evaluation, thus providing an indicative role in shale oil and gas discovery. The specific process is as follows... Figure 5As shown, (1) Shale lithology cross-plots are plotted based on natural gamma data and resistivity data; shale organic property cross-plots are plotted based on resistivity data and sonic transit time data; shale structure cross-plots are plotted based on resistivity data and sonic transit time data; (2) Shale lithology, shale organic property cross-plots and shale structure cross-plots are used to conduct a comprehensive analysis of shale lithology, shale organic property and shale structure, and the analysis results are obtained; (3) The shale facies to be identified is identified according to the analysis results, and the shale facies identification results are obtained.

[0064] In this embodiment, natural gamma data, resistivity data, and acoustic transit time data of the shale facies to be identified are acquired. Cross-plotting techniques are used to plot shale lithology cross-plot curves based on the natural gamma data and resistivity data. These curves are then analyzed to obtain the shale lithology. Cross-plot curves of shale organic properties and shale structure are plotted based on the resistivity data and acoustic transit time data, respectively. These curves are then analyzed to obtain the shale organic properties and shale structure. A comprehensive analysis of the shale lithology, organic properties, and structure is performed using the shale lithology cross-plot curves, organic property cross-plot curves, and structure cross-plot curves to obtain the analysis results. Based on the analysis results, the shale facies to be identified is then determined to obtain the shale facies identification result. This application employs cross-plot technology and, based on natural gamma data, resistivity data, and sonic transit time data of the shale facies to be identified, plots shale lithology cross-plots, shale organic property cross-plots, and shale structure cross-plots. This enables rapid and continuous identification of shale facies. The application comprehensively analyzes shale lithology, organic properties, and structure using these cross-plots. Finally, based on the analysis results, the shale facies to be identified is determined, yielding shale facies identification results. The identified facies encompasses lithology, structure, and organic matter, providing a comprehensive and holistic identification of shale facies. This approach aligns with current understanding of facies in shale oil geological evaluation, serves as an indicator for shale oil and gas discovery, and improves the accuracy and efficiency of shale facies identification.

[0065] See Figure 6 As shown, this embodiment of the invention discloses a shale lithofacies identification method based on cross-plotting technology, which specifically includes:

[0066] Step S21: Obtain natural gamma data, resistivity data, and acoustic transit time data of the shale facies to be identified.

[0067] Step S32: Using cross plotting technology, natural gamma curves and resistivity curves are plotted based on the natural gamma data and the resistivity data, respectively. A cross plotting curve of the shale lithology including the natural gamma curve and the resistivity curve is plotted. The natural gamma curve and the resistivity curve in the cross plotting curve of the shale lithology are analyzed to obtain the shale lithology.

[0068] In this embodiment, after plotting the shale lithology cross-hatching curve including the natural gamma curve and the resistivity curve, the natural gamma curve and the resistivity curve in the shale lithology cross-hatching curve are analyzed. If the natural gamma curve and the resistivity curve show a positive divergence, the shale lithology is determined to be calcareous shale; if the natural gamma curve and the resistivity curve show a negative divergence, the shale lithology is determined to be clayey shale; if the natural gamma curve and the resistivity curve overlap, the shale lithology is determined to be siliceous shale. Figure 2 As shown, when the two curves diverge in a positive direction (resistivity is to the right of the natural gamma), it is argillaceous shale; when the two curves diverge in a negative direction (resistivity is to the left of the natural gamma), it is clayey rock; and when the two curves basically overlap, it is siliceous shale.

[0069] Step S23: Based on the resistivity data and the acoustic transit time data, plot the cross-sectional curves of shale organic properties and shale structure, respectively, and analyze the cross-sectional curves of shale organic properties and shale structure to obtain the organic properties and structure of shale.

[0070] Step S24: Use the shale lithology cross-plot curve, the shale organic property cross-plot curve, and the shale structure cross-plot curve to perform a comprehensive analysis of the shale lithology, the shale organic property, and the shale structure to obtain the analysis results.

[0071] Step S25: Use cross-plot technology and identify the shale facies to be identified based on the analysis results; the types of shale facies to be identified include organic-rich massive clayey facies, organic-rich massive siliceous facies, organic-rich massive limestone facies, organic-containing massive clayey facies, organic-containing massive siliceous facies, organic-containing massive limestone facies, organic-rich layered clayey facies, organic-rich layered siliceous facies, organic-rich layered limestone facies, organic-containing layered clayey facies, organic-containing layered siliceous facies, and organic-containing layered limestone facies.

[0072] Using cross-plotting techniques, three lithofacies were identified based on differences in mineral composition: clayey shale, calcareous shale, and siliceous shale. Based on differences in organic matter abundance, two lithofacies were identified: organic-rich shale and organic-containing shale. Based on differences in rock structure, two lithofacies were identified: massive shale and layered shale. Combining these three lithofacies factors, a total of twelve lithofacies were identified. The types of shale lithofacies are shown in Table 1. Among them, the favorable lithofacies are organic-rich layered siliceous shale and organic-rich layered calcareous shale.

[0073] Table 1

[0074]

[0075] Taking a shale oil well (HYX well) in a certain depression as an example, the natural gamma ray curve, shallow and deep lateral resistivity curves, and sonic transit time curves were plotted using conventional logging. The process is as follows: 1. Analyze the shale lithology of HYX well through cross-plotting of natural gamma ray and resistivity curves: Plot the natural gamma ray and deep lateral resistivity curves in the same channel, where the natural gamma ray curve boundary value is -50 to 150 API, and the deep lateral resistivity boundary value is 0.2 to 200 Ω·m; 2. Analyze the organic characteristics of HYX well shale through cross-plotting of resistivity and sonic transit time curves: Plot the deep lateral resistivity and sonic transit time curves in the same channel, where the sonic transit time curve boundary value is 482 to -10 μs / m, and the deep lateral resistivity boundary value is 0.2 μs / m. ~200Ω·m; 3. Analysis of the rock structure of HYX well shale through resistivity and sonic transit time curve cross-plotting: Deep lateral resistivity and sonic transit time curves are plotted in the same trace, with the sonic transit time curve edge value being 150~450μs / m and the deep lateral resistivity edge value being 0.2~2000Ω·m; 4. Comprehensive analysis of HYX well shale lithofacies: Analysis of lithology, organic properties, and structural characteristics of the target layer shale of HYX well based on the cross-plotting of natural gamma, resistivity, and sonic transit time curves; 5. Favorable lithofacies analysis of HYX well shale: From Figure 7 It is evident that the favorable lithofacies of the HYX well, including organic-rich layered siliceous facies and organic-rich layered calcareous facies, are mainly concentrated in the 4075-4109 meter interval. In 2023, the oil company drilled the horizontal well HYXHF with a target window of 4086-4104 meters. The highest tested daily oil production was 52.3 tons, and the stable daily oil production was 36 tons, reflecting the reliability of the favorable lithofacies conclusions drawn from the cross-plot technology of the HYX well. Figure 7 This includes identifying the lithology of the target shale layer through curve intersection, identifying the organic carbon content of the target shale layer through curve intersection, identifying the rock structure of the target shale layer through curve intersection, and conducting a comprehensive analysis of the lithofacies of the target shale layer in the HYX well.

[0076] In this embodiment, natural gamma data, resistivity data, and acoustic transit time data of the shale facies to be identified are acquired. Cross-plotting techniques are used to plot shale lithology cross-plot curves based on the natural gamma data and resistivity data. These curves are then analyzed to obtain the shale lithology. Cross-plot curves of shale organic properties and shale structure are plotted based on the resistivity data and acoustic transit time data, respectively. These curves are then analyzed to obtain the shale organic properties and shale structure. A comprehensive analysis of the shale lithology, organic properties, and structure is performed using the shale lithology cross-plot curves, organic property cross-plot curves, and structure cross-plot curves to obtain the analysis results. Based on the analysis results, the shale facies to be identified is then determined to obtain the shale facies identification result. This application employs cross-plot technology and, based on natural gamma data, resistivity data, and sonic transit time data of the shale facies to be identified, plots shale lithology cross-plots, shale organic property cross-plots, and shale structure cross-plots. This enables rapid and continuous identification of shale facies. The application comprehensively analyzes shale lithology, organic properties, and structure using these cross-plots. Finally, based on the analysis results, the shale facies to be identified is determined, yielding shale facies identification results. The identified facies encompasses lithology, structure, and organic matter, providing a comprehensive and holistic identification of shale facies. This approach aligns with current understanding of facies in shale oil geological evaluation, serves as an indicator for shale oil and gas discovery, and improves the accuracy and efficiency of shale facies identification.

[0077] See Figure 8 As shown, this embodiment of the invention discloses a shale lithofacies identification device based on cross-plotting technology, which may specifically include:

[0078] Data acquisition module 11 is used to acquire natural gamma data, resistivity data and acoustic transit time data of the shale facies to be identified;

[0079] The lithology analysis module 12 is used to plot shale lithology cross plots using cross plot technology and based on the natural gamma data and the resistivity data, and to analyze the shale lithology cross plots to obtain the shale lithology.

[0080] The organic properties and structure analysis module 13 is used to plot the cross curve of shale organic properties and the cross curve of shale structure based on the resistivity data and the acoustic transit time data, respectively, and to analyze the cross curve of shale organic properties and the cross curve of shale structure to obtain the organic properties and structure of shale.

[0081] The comprehensive analysis module 14 is used to perform a comprehensive analysis of the shale lithology, organic properties, and structure using the shale lithology cross-section curve, the shale organic property cross-section curve, and the shale structure cross-section curve, so as to obtain the analysis results;

[0082] Shale facies identification module 15 is used to identify the shale facies to be identified based on the analysis results, so as to obtain shale facies identification results.

[0083] In this embodiment, natural gamma data, resistivity data, and acoustic transit time data of the shale facies to be identified are acquired. Cross-plotting techniques are used to plot shale lithology cross-plot curves based on the natural gamma data and resistivity data. These curves are then analyzed to obtain the shale lithology. Cross-plot curves of shale organic properties and shale structure are plotted based on the resistivity data and acoustic transit time data, respectively. These curves are then analyzed to obtain the shale organic properties and shale structure. A comprehensive analysis of the shale lithology, organic properties, and structure is performed using the shale lithology cross-plot curves, organic property cross-plot curves, and structure cross-plot curves to obtain the analysis results. Based on the analysis results, the shale facies to be identified is then determined to obtain the shale facies identification result. This application employs cross-plot technology and, based on natural gamma data, resistivity data, and sonic transit time data of the shale facies to be identified, plots shale lithology cross-plots, shale organic property cross-plots, and shale structure cross-plots. This enables rapid and continuous identification of shale facies. The application comprehensively analyzes shale lithology, organic properties, and structure using these cross-plots. Finally, based on the analysis results, the shale facies to be identified is determined, yielding shale facies identification results. The identified facies encompasses lithology, structure, and organic matter, providing a comprehensive and holistic identification of shale facies. This approach aligns with current understanding of facies in shale oil geological evaluation, serves as an indicator for shale oil and gas discovery, and improves the accuracy and efficiency of shale facies identification.

[0084] In some specific embodiments, the lithological analysis module 12 may specifically include:

[0085] The module for plotting natural gamma and resistivity curves is used to plot natural gamma curves and resistivity curves based on the natural gamma data and the resistivity data, respectively, using cross-plotting technology.

[0086] The shale lithology determination module is used to draw the shale lithology intersection curve, which includes the natural gamma curve and the resistivity curve, and to analyze the natural gamma curve and the resistivity curve in the shale lithology intersection curve to obtain the shale lithology.

[0087] In some specific embodiments, the lithological analysis module 12 may specifically include:

[0088] The first lithology analysis module is used to analyze the natural gamma curve and the resistivity curve in the shale lithology cross-hatching curve. If the natural gamma curve and the resistivity curve show a positive divergence, the shale lithology is determined to be calcareous shale.

[0089] The second lithology analysis module is used to determine that the shale lithology is clayey shale if the natural gamma curve and the resistivity curve show a negative divergence.

[0090] The third lithology analysis module is used to determine that the shale lithology is siliceous shale if the natural gamma curve and the resistivity curve overlap.

[0091] In some specific embodiments, the organic property and structure analysis module 13 may specifically include:

[0092] A resistivity and acoustic transit time curve plotting module is used to plot resistivity curves and acoustic transit time curves using the cross-plotting technique and based on the resistivity data and the acoustic transit time data.

[0093] The shale organic property cross-plotting module is used to plot the shale organic property cross-plotting curve, which includes the resistivity curve and the acoustic transit time curve.

[0094] In some specific embodiments, the organic property and structure analysis module 13 may specifically include:

[0095] The first shale organic property analysis module is used to analyze the resistivity curve and the acoustic transit time curve in the cross-plot of the shale organic properties. If the resistivity curve and the acoustic transit time curve overlap, the shale organic properties are determined to be organic shale.

[0096] The second shale organic property analysis module is used to determine that the shale organic property is organic-rich shale if the deviation between the resistivity curve and the acoustic transit time curve is greater than a preset deviation range.

[0097] In some specific embodiments, the organic property and structure analysis module 13 may specifically include:

[0098] The first shale structure analysis module is used to analyze the resistivity curve and acoustic transit time curve in the intersection curve of the shale structure. If the amplitude change and amplitude difference of the resistivity curve and the acoustic transit time curve meet the preset amplitude conditions, the shale structure is determined to be a blocky structure.

[0099] The second shale structure analysis module is used to determine that the shale structure is a layered structure if the amplitude change and amplitude difference of the resistivity curve and the acoustic transit time curve do not meet the preset amplitude conditions.

[0100] In some specific embodiments, the shale facies identification module 15 may specifically include:

[0101] The identification module is used to identify the shale facies to be identified using cross-plot technology and based on the analysis results. The types of shale facies to be identified include organic-rich massive clayey facies, organic-rich massive siliceous facies, organic-rich massive limestone facies, organic-containing massive clayey facies, organic-containing massive siliceous facies, organic-containing massive limestone facies, organic-rich layered clayey facies, organic-rich layered siliceous facies, organic-rich layered limestone facies, organic-containing layered clayey facies, organic-containing layered siliceous facies, and organic-containing layered limestone facies.

[0102] Figure 9 This is a schematic diagram of an electronic device provided in an embodiment of this application. The electronic device 20 may specifically include: at least one processor 21, at least one memory 22, a power supply 23, a communication interface 24, an input / output interface 25, and a communication bus 26. The memory 22 stores a computer program, which is loaded and executed by the processor 21 to implement the relevant steps in the shale lithofacies identification method based on cross-plotting technology disclosed in any of the foregoing embodiments.

[0103] In this embodiment, the power supply 23 is used to provide operating voltage for each hardware device on the electronic device 20; the communication interface 24 can create a data transmission channel between the electronic device 20 and external devices, and the communication protocol it follows can be any communication protocol applicable to the technical solution of this application, and is not specifically limited here; the input / output interface 25 is used to acquire external input data or output data to the outside world, and its specific interface type can be selected according to specific application needs, and is not specifically limited here.

[0104] In addition, the memory 22, as a carrier for resource storage, can be a read-only memory, random access memory, disk or optical disk, etc. The resources stored on it include operating system 221, computer program 222 and data 223, etc., and the storage method can be temporary storage or permanent storage.

[0105] The operating system 221 manages and controls the various hardware devices on the electronic device 20 and the computer program 222 to enable the processor 21 to perform calculations and processing on the data 223 in the memory 22. It can be Windows, Unix, Linux, etc. The computer program 222, in addition to including a computer program capable of performing the shale facies identification method based on cross-plotting technology as disclosed in any of the foregoing embodiments, may further include computer programs capable of performing other specific tasks. The data 223 may include data received by the shale facies identification device based on cross-plotting technology from external devices, as well as data collected by its own input / output interface 25.

[0106] The steps of the methods or algorithms described in conjunction with the embodiments disclosed herein can be implemented directly by hardware, a software module executed by a processor, or a combination of both. The software module can be located in random access memory (RAM), main memory, read-only memory (ROM), electrically programmable ROM, electrically erasable programmable ROM, registers, hard disk, removable disk, CD-ROM, or any other form of storage medium known in the art.

[0107] Furthermore, this application also discloses a computer-readable storage medium storing a computer program. When the computer program is loaded and executed by a processor, it implements the steps of the shale lithofacies identification method based on intersection graph technology disclosed in any of the foregoing embodiments.

[0108] Finally, it should be noted that in this document, relational terms such as "first" and "second" are used only to distinguish one entity or operation from another, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Furthermore, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or apparatus. Without further limitations, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes said element.

[0109] The present invention provides a detailed description of a shale facies identification method, apparatus, device, and storage medium based on cross-plot technology. Specific examples have been used to illustrate the principles and implementation methods of the present invention. The descriptions of the above embodiments are only for the purpose of helping to understand the method and core ideas of the present invention. At the same time, for those skilled in the art, there will be changes in the specific implementation methods and application scope based on the ideas of the present invention. Therefore, the content of this specification should not be construed as a limitation of the present invention.

Claims

1. A method for identifying shale lithofacies based on cross-plot technology, characterized in that, include: Acquire natural gamma data, resistivity data, and acoustic transit time data of the shale facies to be identified; Cross plotting techniques were used to plot shale lithology cross plots based on the natural gamma data and the resistivity data. The shale lithology cross plots were then analyzed to obtain the shale lithology. Based on the resistivity data and the acoustic transit time data, cross-plot curves of shale organic properties and shale structure are plotted respectively. The cross-plot curves of shale organic properties and shale structure are analyzed respectively to obtain the organic properties and structure of shale. The lithology, organic properties, and structure of the shale are comprehensively analyzed using the cross-plot curves of the shale lithology, the shale organic properties, and the shale structure to obtain the analysis results. Based on the analysis results, the shale facies to be identified are identified to obtain the shale facies identification results.

2. The shale lithofacies identification method based on cross-plot technology according to claim 1, characterized in that, The method involves employing cross-plotting technology and plotting shale lithology cross-plots based on the natural gamma data and the resistivity data. The analysis of these cross-plots yields the shale lithology, including: The cross-plot technique was used to plot the natural gamma curve and the resistivity curve based on the natural gamma data and the resistivity data, respectively. A cross-hatching curve of the shale lithology, including the natural gamma curve and the resistivity curve, is plotted. The natural gamma curve and the resistivity curve in the cross-hatching curve of the shale lithology are analyzed to obtain the shale lithology.

3. The shale lithofacies identification method based on cross-plot technology according to claim 2, characterized in that, The analysis of the natural gamma curve and the resistivity curve in the shale lithology cross-plot to obtain the shale lithology includes: Analyze the natural gamma curve and the resistivity curve in the shale lithology cross-hatching curve. If the natural gamma curve and the resistivity curve show a positive divergence, then the shale lithology is determined to be calcareous shale. If the natural gamma curve and the resistivity curve show a negative divergence, then the shale lithology is determined to be clayey shale. If the natural gamma curve and the resistivity curve overlap, the shale lithology is determined to be siliceous shale.

4. The shale lithofacies identification method based on cross-plot technology according to claim 1, characterized in that, Based on the resistivity data and the acoustic transit time data, a cross-plot curve of the organic properties of shale was plotted, including: The cross-plotting technique is used to plot resistivity curves and acoustic transit time curves based on the resistivity data and the acoustic transit time data; Plot a cross-hatching curve of the organic properties of the shale, which includes the resistivity curve and the acoustic transit time curve.

5. The shale lithofacies identification method based on cross-plot technology according to claim 4, characterized in that, The cross-plots of the organic properties of the shale were analyzed to obtain the organic properties of the shale, including: Analyze the resistivity curve and the acoustic transit time curve in the cross-plot of the organic properties of the shale. If the resistivity curve and the acoustic transit time curve overlap, the organic properties of the shale are determined to be organic-containing shale. If the deviation between the resistivity curve and the acoustic transit time curve is greater than a preset deviation range, then the shale is determined to be an organic-rich shale.

6. The shale lithofacies identification method based on cross-plot technology according to claim 1, characterized in that, The cross-hatching curves of shale structures are analyzed to obtain the shale structure, including: The resistivity curve and acoustic transit time curve in the intersection curve of the shale structure are analyzed. If the amplitude change and amplitude difference of the resistivity curve and the acoustic transit time curve meet the preset amplitude conditions, the shale structure is determined to be a blocky structure. If the amplitude changes and amplitude differences of the resistivity curve and the acoustic time difference curve do not meet the preset amplitude conditions, then the shale structure is determined to be a layered structure.

7. The shale lithofacies identification method based on cross-plot technology according to any one of claims 1 to 6, characterized in that, The process of identifying the shale facies to be identified based on the analysis results includes: Cross-plotting techniques were used to identify the shale facies to be identified based on the analysis results. The types of shale facies to be identified include organic-rich massive clayey facies, organic-rich massive siliceous facies, organic-rich massive limestone facies, organic-containing massive clayey facies, organic-containing massive siliceous facies, organic-containing massive limestone facies, organic-rich layered clayey facies, organic-rich layered siliceous facies, organic-rich layered limestone facies, organic-containing layered clayey facies, organic-containing layered siliceous facies, and organic-containing layered limestone facies.

8. A shale lithofacies identification device based on cross-plotting technology, characterized in that, include: The data acquisition module is used to acquire natural gamma data, resistivity data, and acoustic transit time data of the shale facies to be identified. The lithology analysis module is used to plot shale lithology cross-plots using cross-plot technology and based on the natural gamma data and the resistivity data, and to analyze the shale lithology cross-plots to obtain the shale lithology. The organic properties and structure analysis module is used to plot the shale organic property cross curve and the shale structure cross curve based on the resistivity data and the acoustic transit time data, respectively, and to analyze the shale organic property cross curve and the shale structure cross curve to obtain the shale organic properties and shale structure. The comprehensive analysis module is used to perform a comprehensive analysis of the shale lithology, organic properties, and structure using the shale lithology cross-section curve, the shale organic property cross-section curve, and the shale structure cross-section curve, so as to obtain the analysis results; The shale facies identification module is used to identify the shale facies to be identified based on the analysis results, so as to obtain the shale facies identification result.

9. An electronic device, characterized in that, include: Memory, used to store computer programs; A processor for executing the computer program to implement the shale lithofacies identification method based on cross-plot technology as described in any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that, Used to store computer programs; wherein, when the computer programs are executed by a processor, they implement the shale lithofacies identification method based on cross-plot technology as described in any one of claims 1 to 7.

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