Crack identification method and system based on conventional logging curve, medium and equipment

Abstract

The invention belongs to the technical field of oil and gas reservoir development, and provides a crack identification method and system based on a conventional logging curve, a medium and equipment, and the method comprises the steps: obtaining the conventional logging curve, and extracting the logging response characteristics of a typical crack type; extracting an interval transit time logging curve and a deep lateral resistivity logging curve according to logging response characteristics of the typical crack type, and determining basic values of the interval transit time logging curve and the deep lateral resistivity logging curve; calculating a sound wave time difference change rate curve of a target well section in the single well according to the sound wave time difference logging curve and the basic value thereof; calculating a deep lateral resistivity change rate curve according to the deep lateral resistivity logging curve and the basic value thereof; and overlapping and filling the interval transit time change rate curve and the deep lateral resistivity change rate curve in the same channel of the logging diagram to obtain a filling area, and identifying a fracture development section according to the filling area. According to the method, the fracture development section is visually reflected, and the convenience and the identification degree of single well fracture identification are improved.

Description

Technical Field

[0001] The invention belongs to the technical field of oil and gas reservoir development, and in particular relates to a fracture identification method, system, medium and equipment based on conventional logging curves. Background Art

[0002] At present, the main methods for identifying fractures include coring, imaging logging, and conventional logging. Coring is the most intuitive method for identifying fractures. It can directly observe the development of fractures, but its disadvantages are also obvious. First, the cost is too high, and it is impossible to coring a large section of each well. Second, the cores taken due to the influence of fractures are very easy to break and difficult to use effectively. Imaging logging includes four types: electrical imaging, acoustic imaging, nuclear magnetic resonance imaging, and downhole optical photography. They can clearly show the geological characteristics of the two-dimensional space of the well wall, but due to the limitation of acquisition costs, only a few key exploration wells in a study area will be measured, and the amount of imaging logging data is relatively small. In addition, the detection depth of imaging logging is generally shallow, and misjudgment of true and false fractures may occur in the case of poor borehole environment.

[0003] Compared with drilling coring and imaging logging, conventional logging data is widely used in oilfield exploration and development. Previous researchers have done a lot of research on how to use conventional logging data to identify fractures: In 1999, Sun Jianmeng et al. used conventional logging data and formation dip data as the basis to study fracture identification in the Qaidam Basin of Qinghai Province using methods such as the curved porosity structure index method and the apparent formation factor index method; in 2006, Shen Huilin et al. used BP neural network, and Li Xueying et al. combined filtering algorithm with window scanning technology to identify fractures; in 2011, Xiao Lizhi used wavelet multiscale analysis method to extract high-frequency signals from acoustic time-difference logging, and combined with conventional logging data such as natural gamma and medium-deep induction logging to identify fracture development sections; in 201 In 2017, Han Lei and others proposed three comprehensive fracture identification methods, namely, comprehensive probability density method, discriminant analysis method, and improved BP neural network method. They integrated a variety of conventional logging curves through certain mathematical operations, amplified the sensitivity of various curves to fractures, and combined with intuitive data such as imaging logging for comparative analysis, and finally achieved better fracture identification effects; in 2022, Zhu Xingjiao and Zhao Junlong sorted out the response characteristics of conventional logging and imaging logging of natural fractures in tight sandstone reservoirs, and summarized and analyzed six methods for identifying fractures and the degree of fracture development, namely, wellbore relative anomaly method, three-porosity ratio method, secondary porosity ratio method, elastic modulus difference ratio method, resistivity intrusion correction difference ratio method and intersection plot method.

[0004] Most of the above methods use complex mathematical models, which have the defects of complex operation, difficult parameter selection, poor certainty and high degree of human intervention in the actual tight reservoir fracture identification process. Summary of the invention

[0005] The invention proposes a fracture identification method, system, medium and equipment based on conventional logging curves.

[0006] A fracture identification method based on conventional well logging curves of the present invention comprises:

[0007] Obtain conventional logging curves for a single well and extract logging response characteristics of typical fracture types;

[0008] Extracting the acoustic transit time logging curve and the deep lateral resistivity logging curve of the target well section in the single well according to the logging response characteristics of the typical fracture type, and determining the base value of the acoustic transit time logging curve and the base value of the deep lateral resistivity logging curve;

[0009] Calculating the acoustic time difference change rate curve of the target well section according to the acoustic time difference logging curve of the target well section and the base value thereof;

[0010] Calculating a deep lateral resistivity change rate curve of the target well section according to the deep lateral resistivity logging curve of the target well section and the base value thereof;

[0011] The acoustic time difference change rate curve of the target well section and the deep lateral resistivity change rate curve of the target well section are overlapped and filled in the same channel of the logging diagram to obtain the filled area, and the fracture development section of the target well section is identified according to the filled area.

[0012] Further,

[0013] The method of extracting the acoustic time difference logging curve and the deep lateral resistivity logging curve of the target well section in the single well according to the logging response characteristics of the typical fracture type, and determining the base value of the acoustic time difference logging curve and the base value of the deep lateral resistivity logging curve comprises:

[0014] According to the logging response characteristics of the typical fracture types, the acoustic time difference logging curve and the deep lateral resistivity logging curve are determined as sensitive curves for fracture identification.

[0015] Further,

[0016] The method of extracting the acoustic time difference logging curve and the deep lateral resistivity logging curve of the target well section in the single well according to the logging response characteristics of the typical fracture type, and determining the base value of the acoustic time difference logging curve and the base value of the deep lateral resistivity logging curve, further includes:

[0017] The sonic time difference logging curve of the target well section and the deep lateral resistivity logging curve of the target well section are extracted, and the sonic time difference logging curve and the deep lateral resistivity logging curve are displayed in the same channel of the logging diagram. The position where the sonic time difference logging curve and the deep lateral resistivity logging curve overlap the most is the position where the sonic time difference logging curve and the deep lateral resistivity logging curve correspond to the base value.

[0018] Further,

[0019] The acoustic time difference change rate curve of the target well section is calculated by the following formula:

[0020] DT_roc=(DT-DT 基值 ) / DT 基值 ,

[0021] Where, DT_roc refers to the acoustic time difference change rate curve of the target well section; DT refers to the acoustic time difference logging curve of the target well section; DT 基值 Refers to the base value of the sonic time difference logging curve of the target well section.

[0022] Further,

[0023] The deep lateral resistivity change rate curve of the target well section is calculated by the following formula:

[0024] RD_roc=(RD-RD 基值 ) / (RD+RD 基值 ),

[0025] Where, RD_roc refers to the deep lateral resistivity change rate curve of the target well section; RD refers to the deep lateral resistivity logging curve of the target well section; RD 基值 Refers to the base value of the deep lateral resistivity logging curve of the target well section.

[0026] Further,

[0027] The method overlaps and fills the acoustic time difference change rate curve of the target well section and the deep lateral resistivity change rate curve of the target well section in the same channel of the well logging diagram, obtains the filled area, and identifies the fracture development section of the target well section according to the filled area, including:

[0028] The acoustic time difference change rate curve of the target well section and the deep lateral resistivity change rate curve of the target well section are overlapped in the same channel of the logging diagram with a linear scale of -1 to 1.

[0029] Further,

[0030] The method of overlapping and filling the acoustic time difference change rate curve of the target well section and the deep lateral resistivity change rate curve of the target well section in the same channel of the well logging diagram to obtain the filled area, and identifying the fracture development section of the target well section according to the filled area, further comprises:

[0031] Fill the deep lateral resistivity change rate curve in order from left to right, with the right boundary of the filling being the acoustic wave time difference change rate curve, to obtain a filled area;

[0032] The fracture development section of the target well section is identified according to the filling area, and the permeability effect of the fracture is determined according to the size of the filling area.

[0033] A fracture identification system based on conventional well logging curves of the present invention is used to implement the aforementioned fracture identification method based on conventional well logging curves, and the system comprises:

[0034] The extraction module is used to obtain the conventional logging curve of a single well and extract the logging response characteristics of typical fracture types;

[0035] A determination module, configured to extract the acoustic time difference logging curve and the deep lateral resistivity logging curve of the target well section in the single well according to the logging response characteristics of the typical fracture type, and determine the base value of the acoustic time difference logging curve and the base value of the deep lateral resistivity logging curve;

[0036] An acoustic time difference change rate curve calculation module, used to calculate the acoustic time difference change rate curve of the target well section according to the acoustic time difference logging curve of the target well section and the base value;

[0037] A deep lateral resistivity change rate curve calculation module, used to calculate the deep lateral resistivity change rate curve of the target well section according to the deep lateral resistivity logging curve of the target well section and the base value thereof;

[0038] The identification module is used to overlap and fill the acoustic time difference change rate curve of the target well section and the deep lateral resistivity change rate curve of the target well section in the same channel of the logging diagram, obtain the filled area, and identify the fracture development section of the target well section according to the filled area.

[0039] A computer-readable storage medium of the present invention stores a program or instruction. When the program or instruction is run on a computer, the computer executes the above-mentioned fracture identification method based on conventional logging curves.

[0040] An electronic device of the present invention comprises a processor, which is coupled to a memory; the processor is used to read and execute a computer program stored in the memory to implement the above-mentioned fracture identification method based on conventional logging curves.

[0041] Compared with the prior art, the present invention has the following beneficial effects:

[0042] Based on the sonic time difference logging values ​​and deep lateral resistivity logging values ​​at different depths, the corresponding rate of change curves are calculated respectively. The two rate of change curves are displayed and filled in the same channel to amplify the response characteristics to fractures, intuitively reflect the fracture development section, and improve the recognition of the fracture development section in the vertical direction of a single well, which is in good agreement with conventional logging data and imaging logging data.

[0043] The parameter selection of the present invention is intuitive and reliable, and only simple linear conversion is required during operation, thereby improving the convenience and objectivity of single well fracture identification. BRIEF DESCRIPTION OF THE DRAWINGS

[0044] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0045] Figure 1 It is a flow chart of the fracture identification method based on conventional well logging curves of the present invention;

[0046] Figure 2 The well logging curve and its interpretation result diagram of the present invention;

[0047] Figure 3 It is a structural schematic diagram of a fracture identification system based on conventional well logging curves of the present invention;

[0048] Figure 4 It is a schematic diagram of the structure of the electronic device of the present invention.

[0049] Description of reference numerals:

[0050] 201 - extraction module, 202 - determination module, 203 - acoustic wave time difference change rate curve calculation module, 204 - deep lateral resistivity change rate curve calculation module, 205 - identification module, 301 - processor, 302 - memory. DETAILED DESCRIPTION

[0051] In order to make the purpose, technical solution and advantages of the embodiments of the present invention clearer, the technical solution in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0052] Figure 1 1 is a flow chart of a fracture identification method based on conventional well logging curves provided by an embodiment of the present invention. In one embodiment, the method specifically includes the following steps:

[0053] S101: Obtain conventional logging curves of a single well and extract logging response characteristics of typical fracture types.

[0054] Collect conventional logging data and imaging logging data of single wells in the study area.

[0055] Conventional logging data is visualized as conventional logging curves, which include natural gamma logging curves, caliper logging curves, deep lateral resistivity logging curves, acoustic time difference logging curves, density logging curves and compensated neutron logging curves, such as Figure 2 As shown, from left to right, the solid line in the first channel represents the natural gamma logging curve, the dotted line in the first channel represents the caliper logging curve, the second channel represents the depth, the solid line in the third channel represents the deep lateral resistivity logging curve, the green dotted line in the third channel represents the sonic time difference logging curve, the solid line in the fourth channel represents the density logging curve, and the dotted line in the fourth channel represents the compensated neutron logging curve.

[0056] The fracture inclination angle of the target section in a single well is statistically analyzed based on the imaging logging data, and the fracture tadpole diagram is drawn using the logging processing and interpretation software. The fracture tadpole diagram is shown in the figure below. Figure 2 As shown in the fifth track from left to right, each "tadpole" represents a crack, and the number of "tadpoles" reflects the development of the crack. The more tadpoles, the larger the crack, and the fewer tadpoles, the smaller the crack. The dots on the "tadpoles" represent the inclination of the crack. The larger the dots, the larger the inclination, and the smaller the dots, the smaller the inclination. The line segments on the "tadpoles" indicate the direction, which represents the inclination of the crack.

[0057] The development of fractures reflected in the fracture tadpole diagram is compared with conventional logging curves to extract the logging response characteristics of typical fracture types.

[0058] It is worth noting that for multiple wells under the same geological conditions in the study area, if the logging response characteristics of the typical fracture type of a well have been extracted by the aforementioned method, then when extracting the logging response characteristics of the typical fracture types of other wells, there is no need to repeat the aforementioned method, but to inherit the logging response characteristics of the typical fracture type that has been extracted from a certain well.

[0059] S102: extracting the acoustic time difference logging curve and the deep lateral resistivity logging curve of the target well section in the single well according to the logging response characteristics of the typical fracture type, and determining the base value of the acoustic time difference logging curve and the base value of the deep lateral resistivity logging curve.

[0060] S102-1: Based on the logging response characteristics of typical fracture types, the acoustic time difference logging curve and the deep lateral resistivity logging curve are determined as sensitive curves for fracture identification.

[0061] The logging response characteristics of typical fracture types are: resistivity decreases, sonic time difference increases, and the sonic time difference logging curve and resistivity logging curve show "sawtooth" changes.

[0062] Although other conventional logging curves except the acoustic time difference logging curve and the resistivity logging curve also have obvious changes in the fracture development section, such as Figure 2 The fourth track from left to right is the density logging curve marked as a solid line. However, the density logging curve is greatly affected by the wellbore environment, so the curve also shows a significant expansion trend in the expansion section, which can easily lead to misjudgment of fracture development. Therefore, the sonic time difference logging curve and the deep lateral resistivity logging curve are selected as sensitive curves for fracture identification.

[0063] S102-2: extracting the acoustic transit time logging curve of the target well section and the deep lateral resistivity logging curve of the target well section, and determining the base value of the acoustic transit time logging curve and the base value of the deep lateral resistivity logging curve.

[0064] The main oil and gas layer section is taken as the target section in a single well, and the acoustic time difference logging curve and the deep lateral resistivity logging curve of the target section are extracted.

[0065] The acoustic time difference logging curve and the deep lateral resistivity logging curve are displayed in the same channel of the logging diagram. The logging diagram has multiple areas, that is, multiple channels, such as Figure 2 It includes 6 channels. The same channel refers to the same area in the logging chart, that is, the same channel. Adjust the scale range so that the acoustic time difference logging curve and the deep lateral resistivity logging curve are located in the low natural gamma reservoir and overlap as much as possible in the well section with relatively gentle changes. In the same channel of the logging chart, the position where the two curves overlap the most is the position where the two curves correspond to the base value, such as Figure 2 The third track from left to right shows that the green dotted line represents the acoustic time difference logging curve, the solid line represents the deep lateral resistivity logging curve, and the blue dotted line represents the base value line.

[0066] Whether the base value is reasonable can be verified by statistically analyzing the mean values ​​of the acoustic time difference and deep lateral resistivity of the target well section. In addition, for reservoirs in different formations, if the lithology and electrical properties have obvious differences, the base values ​​of the above two curves should be determined in sections.

[0067] S103: Calculate the acoustic time difference change rate curve of the target well section according to the acoustic time difference logging curve of the target well section and its base value.

[0068] Based on the conventional logging curves collected in S101 and the acoustic time difference logging curves and their base values ​​obtained in S102, the acoustic time difference change rate curve of the target well section in the single well is calculated in the sandstone section (also called the "reservoir section"). The change rate refers to the degree of deviation of the curve value of each depth point relative to the curve base value. A positive change rate indicates that the curve value of the depth point is larger than the curve base value, and a negative change rate indicates that the curve value of the depth point is smaller than the curve base value.

[0069] The calculation formula of the acoustic time difference change rate curve of the target well section in a single well is shown in formula (1):

[0070] DT_roc=(DT-DT 基值 ) / DT 基值 (1)

[0071] Where, DT_roc refers to the acoustic time difference change rate curve of the target well section; DT refers to the acoustic time difference logging curve of the target well section; DT 基值 Refers to the base value of the sonic time difference logging curve of the target well section.

[0072] S104: Calculate a deep lateral resistivity change rate curve of the target well section according to the deep lateral resistivity logging curve of the target well section and its base value.

[0073] According to the conventional logging curves collected in S101 and the deep lateral resistivity logging curves and their base values ​​obtained in S102, the deep lateral resistivity change rate curve of the target well section in a single well is calculated only in the sandstone section (also called the "reservoir section"). The change rate refers to the degree of deviation of the curve value of each depth point relative to the curve base value. A positive change rate indicates that the curve value of the depth point is larger than the curve base value, and a negative change rate indicates that the curve value of the depth point is smaller than the curve base value.

[0074] The calculation formula of the deep lateral resistivity change rate curve of the target well section in a single well is shown in formula (2):

[0075] RD_roc=(RD-RD 基值 ) / (RD+RD 基值 ) (2),

[0076] Where, RD_roc refers to the deep lateral resistivity change rate curve of the target well section; RD refers to the deep lateral resistivity logging curve of the target well section; RD 基值 Refers to the base value of the deep lateral resistivity logging curve of the target well section.

[0077] S105: Overlap and fill the acoustic time difference change rate curve of the target well section and the deep lateral resistivity change rate curve of the target well section in the same channel of the logging diagram to obtain a filled area, and identify the fracture development section of the target well section according to the filled area.

[0078] The acoustic time difference change rate curve of the target well section in a single well and the deep lateral resistivity change rate curve of the target well section in a single well are overlapped in the same channel of the logging diagram with a linear scale of -1 to 1.

[0079] Fill the deep lateral resistivity change rate curve from left to right, and the right boundary of the filling is the acoustic time difference change rate curve, such as Figure 2 The fifth track from left to right shows that the dotted line is the deep lateral resistivity change rate curve, the solid line is the acoustic time difference change rate curve, and the pink filled area is the filled area from the deep lateral resistivity change rate curve to the acoustic time difference change rate curve. The part with the filled area is called the fracture development section, and the part without the filled area is called the fracture undeveloped section. The larger the filled area, the better the fracture permeability, and the smaller the filled area, the worse the fracture permeability.

[0080] In the fracture development section, the acoustic time difference change rate increases positively, and the deep lateral resistivity change rate increases negatively, and the two have certain mirror symmetry characteristics.

[0081] At the same time, through Figure 2 From the fifth and sixth tracks from left to right, it can be seen that the crack development segment in the fifth track is consistent with the crack development indicated by the crack tadpole diagram in the sixth track, thus achieving the purpose of crack identification.

[0082] In another embodiment, the deep lateral resistivity change rate curve of the target well section may be calculated first, and then the acoustic wave time difference change rate curve of the target well section may be calculated.

[0083] The embodiment of the present invention also provides a fracture identification system based on conventional well logging curves, such as Figure 3 As shown, including:

[0084] The extraction module 201 is used to obtain conventional logging curves of a single well and extract logging response characteristics of typical fracture types.

[0085] The determination module 202 is used to extract the acoustic time difference logging curve and the deep lateral resistivity logging curve of the target well section in the single well according to the logging response characteristics of the typical fracture type, and determine the base value of the acoustic time difference logging curve and the base value of the deep lateral resistivity logging curve.

[0086] The acoustic time difference change rate curve calculation module 203 is used to calculate the acoustic time difference change rate curve of the target well section according to the acoustic time difference logging curve of the target well section and its base value.

[0087] The deep lateral resistivity change rate curve calculation module 204 is used to calculate the deep lateral resistivity change rate curve of the target well section according to the deep lateral resistivity logging curve of the target well section and its base value.

[0088] The identification module 205 is used to overlap and fill the acoustic time difference change rate curve of the target well section and the deep lateral resistivity change rate curve of the target well section in the same channel of the logging diagram, obtain the filled area, and identify the fracture development section of the target well section according to the filled area.

[0089] It should be noted here that the above-mentioned extraction module 201, determination module 202, acoustic wave time difference change rate curve calculation module 203, deep lateral resistivity change rate curve calculation module 204 and identification module 205 correspond to steps S101 to S105 in the embodiment of the fracture identification method based on conventional logging curves, and the examples and application scenarios implemented by the above-mentioned modules and corresponding steps are the same, but are not limited to the contents disclosed in the above-mentioned embodiments.

[0090] An embodiment of the present invention further provides a computer-readable storage medium storing a program or instruction. When the program or instruction is executed on a computer, the computer executes the fracture identification method based on conventional logging curves as described in the above method embodiment.

[0091] like Figure 4 As shown, an embodiment of the present invention further provides an electronic device, including: a processor 301, the processor 301 is coupled to a memory 302, and the processor 301 is used to read and execute a computer program stored in the memory 302 to implement a fracture identification method based on conventional logging curves as described in the above method embodiment.

[0092] Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent substitutions for some of the technical features therein; and these modifications or substitutions do not make the essence of the corresponding technical solutions deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A fracture identification method based on conventional well logging curves, characterized in that: include: Obtain conventional logging curves for a single well and extract logging response characteristics of typical fracture types; Extracting the acoustic transit time logging curve and the deep lateral resistivity logging curve of the target well section in the single well according to the logging response characteristics of the typical fracture type, and determining the base value of the acoustic transit time logging curve and the base value of the deep lateral resistivity logging curve; Calculating the acoustic time difference change rate curve of the target well section according to the acoustic time difference logging curve of the target well section and the base value thereof; Calculating a deep lateral resistivity change rate curve of the target well section according to the deep lateral resistivity logging curve of the target well section and the base value thereof; The acoustic time difference change rate curve of the target well section and the deep lateral resistivity change rate curve of the target well section are overlapped and filled in the same channel of the logging diagram to obtain the filled area, and the fracture development section of the target well section is identified according to the filled area.

2. The method according to claim 1, characterized in that The method of extracting the acoustic time difference logging curve and the deep lateral resistivity logging curve of the target well section in the single well according to the logging response characteristics of the typical fracture type, and determining the base value of the acoustic time difference logging curve and the base value of the deep lateral resistivity logging curve comprises: According to the logging response characteristics of the typical fracture types, the acoustic time difference logging curve and the deep lateral resistivity logging curve are determined as sensitive curves for fracture identification.

3. The method according to claim 2, characterized in that The method of extracting the acoustic time difference logging curve and the deep lateral resistivity logging curve of the target well section in the single well according to the logging response characteristics of the typical fracture type, and determining the base value of the acoustic time difference logging curve and the base value of the deep lateral resistivity logging curve, further includes: The sonic time difference logging curve of the target well section and the deep lateral resistivity logging curve of the target well section are extracted, and the sonic time difference logging curve and the deep lateral resistivity logging curve are displayed in the same channel of the logging diagram. The position where the sonic time difference logging curve and the deep lateral resistivity logging curve overlap the most is the position where the sonic time difference logging curve and the deep lateral resistivity logging curve correspond to the base value.

4. The method according to claim 1, characterized in that: The acoustic time difference change rate curve of the target well section is calculated by the following formula: DT_roc=(DT-DT 基值 ) / DT 基值 , Where, DT_roc refers to the acoustic time difference change rate curve of the target well section; DT refers to the acoustic time difference logging curve of the target well section; DT 基值 Refers to the base value of the sonic time difference logging curve of the target well section.

5. The method according to claim 1, characterized in that: The deep lateral resistivity change rate curve of the target well section is calculated by the following formula: RD_roc=(RD-RD 基值 ) / (RD+RD 基值 ), Where, RD_roc refers to the deep lateral resistivity change rate curve of the target well section; RD refers to the deep lateral resistivity logging curve of the target well section; RD 基值 Refers to the base value of the deep lateral resistivity logging curve of the target well section.

6. The method according to claim 1, characterized in that The method overlaps and fills the acoustic time difference change rate curve of the target well section and the deep lateral resistivity change rate curve of the target well section in the same channel of the well logging diagram, obtains the filled area, and identifies the fracture development section of the target well section according to the filled area, including: The acoustic time difference change rate curve of the target well section and the deep lateral resistivity change rate curve of the target well section are overlapped in the same channel of the logging diagram with a linear scale of -1 to 1.

7. The method according to claim 6, characterized in that The method of overlapping and filling the acoustic time difference change rate curve of the target well section and the deep lateral resistivity change rate curve of the target well section in the same channel of the well logging diagram to obtain the filled area, and identifying the fracture development section of the target well section according to the filled area, further comprises: Fill the deep lateral resistivity change rate curve in order from left to right, with the right boundary of the filling being the acoustic wave time difference change rate curve, to obtain a filled area; The fracture development section of the target well section is identified according to the filling area, and the permeability effect of the fracture is determined according to the size of the filling area.

8. A fracture identification system based on conventional well logging curves, characterized in that: include: The extraction module is used to obtain the conventional logging curve of a single well and extract the logging response characteristics of typical fracture types; A determination module, configured to extract the acoustic time difference logging curve and the deep lateral resistivity logging curve of the target well section in the single well according to the logging response characteristics of the typical fracture type, and determine the base value of the acoustic time difference logging curve and the base value of the deep lateral resistivity logging curve; An acoustic time difference change rate curve calculation module, used to calculate the acoustic time difference change rate curve of the target well section according to the acoustic time difference logging curve of the target well section and the base value; A deep lateral resistivity change rate curve calculation module, used to calculate the deep lateral resistivity change rate curve of the target well section according to the deep lateral resistivity logging curve of the target well section and the base value thereof; The identification module is used to overlap and fill the acoustic time difference change rate curve of the target well section and the deep lateral resistivity change rate curve of the target well section in the same channel of the logging diagram, obtain the filled area, and identify the fracture development section of the target well section according to the filled area.

9. A computer-readable storage medium, characterized in that: A program or instruction is stored, and when the program or instruction is run on a computer, the computer is enabled to execute the fracture identification method based on conventional logging curves as described in any one of claims 1 to 7.

10. An electronic device, characterized in that: comprising a processor coupled to a memory; The processor is used to read and execute the computer program stored in the memory to implement the fracture identification method based on conventional logging curves as described in any one of claims 1 to 7.

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