A fracturing effect analysis method based on shale gas geological engineering integration
By superimposing microseismic data with natural fractures, the hydraulic fracture geometric image information of shale gas wells is processed, and the problem of low fracturing effect analysis efficiency of shale gas wells is solved, and rapid and accurate pressure is achieved Fracture effect evaluation and parameter adjustment have improved the fracturing efficiency of shale gas wells.
Patent Information
- Application Number
- CN202410724485.2
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2024-06-05
- Publication Date
- 2025-01-17
- Estimated Expiration
- 2044-06-05
AI Technical Summary
In the prior art, the integrated fracturing effect analysis efficiency of shale gas geological engineering is low, and it is impossible to effectively improve the fracturing effect of shale gas wells.
By superimposing microseismic data and natural cracks into an integrated hydraulic fracture test model, the hydraulic fracture geometric image information after fracturing of shale gas wells is collected and processed, and the hydraulic fracture fracture is adjusted according to density and porosity by using the processing unit. Test model, quickly determine whether the fracturing is qualified and adjust the parameters to improve analysis efficiency.
It effectively improves the efficiency of integrated fracturing effect analysis of shale gas geological engineering, reduces misjudgment, quickly determines the reasons for fracturing failure, saves search time, and improves analysis efficiency.
Smart Images

Figure CN118691561B_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the technical field of shale gas geological exploration, and in particular to a shale gas geological engineering integrated fracturing effect analysis method. Background Art
[0002] Shale gas is "unconventional" because of its extremely low shale permeability, requiring fracturing to form a complex fracture network before gas can be extracted. The development level of fracturing technology directly affects the economic exploitation of shale gas, and how to improve the efficiency of shale gas geological engineering integrated fracturing effect analysis is becoming increasingly important.
[0003] Prior art patent number: CN 2021109754733, discloses a shale gas horizontal well fracturing segmentation method, the method comprising the following steps: 1) obtaining the horizontal well formation geological sweet spot parameters; 2) setting the minimum threshold value of each geological sweet spot parameter obtained according to the area where the horizontal well is located, and screening the fracturing section to be mined; 3) obtaining the horizontal well formation engineering sweet spot parameters for the fracturing section to be mined; 4) forming an ordered data set with the engineering sweet spot parameter data obtained in step 3), clustering the ordered data set, and determining the horizontal segmentation position according to the clustering results. The method of the present invention minimizes the heterogeneity of the divided fracturing sections, can increase the fracturing transformation volume, obtain better fracturing effects, and improve economic recovery efficiency. However, the prior art does not solve the problem of low efficiency in fracturing effect analysis of shale gas geology and engineering integration. Summary of the invention
[0004] To this end, the present invention provides a fracturing effect analysis method based on shale gas geological engineering integration, so as to overcome the problem of low efficiency of fracturing effect analysis of shale gas wells in shale gas geological exploration in the prior art.
[0005] To achieve the above object, the present invention provides a method for analyzing the fracturing effect based on shale gas geology and engineering integration, comprising:
[0006] superimposing microseismic data and natural fractures into an integrated hydraulic fracture fracturing test model according to geological attribute parameter information of the shale gas well, wherein the geological attribute parameter information includes the porosity and density of the shale gas well;
[0007] Collecting hydraulic fracture geometric image information after shale gas well fracturing according to the hydraulic fracture fracturing test model, wherein the hydraulic fracture geometric image information includes the number of hydraulic fracture long sections and the hydraulic fracture cluster spacing;
[0008] Processing the acquired hydraulic joint geometric image information, wherein the processing parameters include the number of hydraulic joint image feature points and the grayscale of the hydraulic joint image;
[0009] Whether the shale gas well fracturing is qualified is determined based on the comparison results of the geometric image information of the hydraulic fractures after fracturing of the shale gas well, and the reason for the unqualified fracturing of the shale gas well is determined based on the density of the shale gas well, the processing method of the hydraulic fracture fracturing test model image information is determined, and the number of hydraulic fracture length sections or the hydraulic fracture cluster spacing of the hydraulic fracture fracturing test model is re-determined based on the porosity of the shale gas well.
[0010] Furthermore, the processing unit is provided with a first preset overlap and a second preset overlap, and determines whether the shale gas well is qualified for fracturing based on the hydraulic fracture image overlap, wherein:
[0011] If the hydraulic fracture image overlap is less than or equal to a first preset overlap, the shale gas well is judged to be unqualified for fracturing, and a processing method for the hydraulic fracture fracturing test model image information is determined based on the density of the shale gas well;
[0012] If the hydraulic fracture image overlap is greater than a first preset overlap and less than or equal to a second preset overlap, it is preliminarily determined that the shale gas well is unqualified for hydraulic fracturing, and the reason for the unqualified hydraulic fracturing of the shale gas well is re-determined based on the porosity of the shale gas well;
[0013] If the hydraulic fracture image overlap is greater than the second preset overlap, the shale gas well is judged to be qualified for fracturing, and the simulation test is continued;
[0014] The overlap is the ratio of the length of the overlapping line segments in the contour lines in the hydraulic fracture geometry image information collected after shale gas well fracturing and the total length of the contour lines in the hydraulic fracture geometry image information.
[0015] Furthermore, the processing unit is provided with a preset porosity, and the reason why the shale gas well is unqualified for fracturing is re-determined based on the porosity of the shale gas well, wherein:
[0016] If the preset porosity is less than or equal to the preset porosity, it is determined that the reason for the failure of the shale gas well is the problem of the number of hydraulic fracture length sections, and the number of hydraulic fracture length sections of the hydraulic fracture fracturing test model is re-determined;
[0017] If the porosity of the shale gas well is greater than the preset porosity, it is determined that the reason for the failure of the shale gas well is the hydraulic fracture cluster spacing problem, and the hydraulic fracture cluster spacing of the hydraulic fracture fracturing test model is re-determined.
[0018] Compared with the prior art, the beneficial effect of the present invention lies in that the present invention provides a processing unit in the hydraulic fracture fracturing test model, and by detecting and adjusting the corresponding parameter information, the efficiency of the integrated fracturing effect analysis of shale gas geology and engineering can be effectively improved. At the same time, when the processing unit determines that the fracturing of the shale gas well is unqualified, it can quickly determine the processing method of the hydraulic fracture fracturing test model image information based on the density of the shale gas well, thereby improving the analysis efficiency of the integrated fracturing effect of shale gas geology and engineering. Moreover, the porosity of the shale gas well can quickly redetermine the number of hydraulic fracture long sections or the spacing between hydraulic fracture clusters in the hydraulic fracture fracturing test model, thereby further improving the efficiency of the integrated fracturing effect analysis of shale gas geology and engineering.
[0019] Furthermore, the present invention can quickly determine whether the shale gas well fracturing is qualified through the hydraulic fracture image overlap, thereby reducing the occurrence of misjudgment and improving the analysis efficiency of the shale gas well fracturing.
[0020] Furthermore, the present invention can quickly redetermine the reason why the shale gas well's fracturing is unqualified through the porosity of the shale well, thereby saving search time and improving the analysis efficiency of the shale gas well's fracturing. BRIEF DESCRIPTION OF THE DRAWINGS
[0021] Figure 1 A flowchart of the steps of analyzing the shale gas geological engineering integrated fracturing effect of the present invention;
[0022] Figure 2 A flow chart for determining whether the fracturing of a shale gas well of the present invention meets the standards;
[0023] Figure 3 This is a diagram showing the integrated fracturing effect of shale geology and engineering in Example 1;
[0024] Figure 4 This is a diagram showing the integrated fracturing effect of shale geology and engineering in Example 2. DETAILED DESCRIPTION
[0025] In order to make the objects and advantages of the present invention more clearly understood, the present invention is further described below in conjunction with embodiments; it should be understood that the specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention.
[0026] The preferred embodiments of the present invention are described below with reference to the accompanying drawings. It should be understood by those skilled in the art that these embodiments are only used to explain the technical principles of the present invention and are not intended to limit the protection scope of the present invention.
[0027] It should be noted that in the description of the present invention, unless otherwise clearly specified and limited, the terms "installed", "connected" and "connected" should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection or an indirect connection through an intermediate medium, or it can be the internal communication of two components. For those skilled in the art, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.
[0028] See also Figure 1 As shown, it is a flowchart of the steps of shale gas geological engineering integrated fracturing effect analysis in an embodiment of the present invention; the present invention is based on a shale gas geological engineering integrated fracturing effect analysis method, including:
[0029] Step S1, superimposing microseismic data and natural fractures into an integrated hydraulic fracture fracturing test model according to geological attribute parameter information of the shale gas well, wherein the geological attribute parameter information includes the porosity and density of the shale gas well;
[0030] Step S2, collecting hydraulic fracture geometric image information after shale gas well fracturing according to the hydraulic fracture fracturing test model, wherein the hydraulic fracture geometric image information includes the number of hydraulic fracture long sections and the hydraulic fracture cluster spacing;
[0031] Step S3, processing the acquired hydraulic joint geometric image information, wherein the processing parameters include the number of hydraulic joint image feature points and the grayscale of the hydraulic joint image;
[0032] Step S4, judging whether the shale gas well fracturing is qualified based on the comparison result of the hydraulic fracture geometric image information after the shale gas well fracturing, and determining the processing method of the hydraulic fracture fracturing test model image information based on the density of the shale gas well, and re-determining the number of hydraulic fracture long sections or the hydraulic fracture cluster spacing of the hydraulic fracture fracturing test model based on the porosity of the shale gas well.
[0033] Specifically, the shale gas geological engineering integrated fracturing effect analysis system includes: a model building unit, a collection unit and a processing unit, among which:
[0034] A model building unit, which uses geological attribute parameter information of shale gas wells to superimpose microseismic data and natural fractures into an integrated hydraulic fracture fracturing test model, wherein the geological attribute parameter information includes the porosity and density of the shale gas wells;
[0035] A collection unit connected to the model building unit, used to collect hydraulic fracture geometric image information of the shale gas well after hydraulic fracture fracturing test model fracturing, wherein the hydraulic fracture geometric image information includes the number of hydraulic fracture long sections and the spacing between hydraulic fracture clusters;
[0036] A processing unit is connected to the acquisition unit and is used to process the acquired hydraulic fracture geometric image information, wherein the processing parameters include the number of feature points of the processed hydraulic fracture image and the grayscale of the hydraulic fracture image; and whether the shale gas well fracturing is qualified is determined based on the comparison result of the hydraulic fracture geometric image information after the shale gas well fracturing.
[0037] See also Figure 2 As shown, it is a flow chart for determining whether the hydraulic fracturing of a shale gas well of the present invention meets the standard; the processing unit of the present invention is provided with a first preset coincidence and a second preset coincidence, and determines whether the hydraulic fracturing of the shale gas well is qualified based on the coincidence of the hydraulic fracture image, wherein:
[0038] If the hydraulic fracture image overlap is less than or equal to a first preset overlap, the shale gas well is judged to be unqualified for fracturing, and a processing method for the hydraulic fracture fracturing test model image information is determined based on the density of the shale gas well;
[0039] If the hydraulic fracture image overlap is greater than a first preset overlap and less than or equal to a second preset overlap, it is preliminarily determined that the shale gas well is unqualified for hydraulic fracturing, and the reason for the unqualified hydraulic fracturing of the shale gas well is re-determined based on the porosity of the shale gas well;
[0040] If the hydraulic fracture image overlap is greater than the second preset overlap, the shale gas well is judged to be qualified for fracturing, and the simulation test is continued;
[0041] The overlap is the ratio of the length of the overlapping line segments in the contour lines of the hydraulic fracture geometry image information collected after shale gas well fracturing and the contour lines in the hydraulic fracture geometry image information to the total length of the contour lines in the hydraulic fracture geometry image information.
[0042] See also Figure 3 As shown, it is a diagram of the integrated fracturing effect of shale geological engineering in Example 1 of the present invention. The microseismic data and natural fractures are superimposed into an integrated hydraulic fracture fracturing test model. The event point is consistent with the fracture model. The actual data pumping data is used to simulate the fracture network. The artificial fracture network is a double-wing fracture. The artificial fracture morphology is obtained by fitting the construction curve. From the simulation results, it is known that the fracture length is 200-300m, the average fracture length is 266m, the fracture width is 3.12mm, the fracture height is 18.12m, the support fracture height is 13.34m, the conductivity is 27mD.m, and each cluster is effectively opened.
[0043] See also Figure 4As shown, it is a diagram of the integrated fracturing effect of shale geological engineering in Example 2 of the present invention. The microseismic data and natural fractures are superimposed into an integrated hydraulic fracture fracturing test model. The event point is consistent with the fracture model. The actual data pumping data is used to simulate the fracture network. The artificial fracture network is a double-wing fracture. The artificial fracture morphology is obtained by fitting the construction curve. From the simulation results, it is known that the average fracture length is 275m, the fracture width is 3.11mm, the fracture height is 26.66m, the support fracture height is 13.07m, and the conductivity is 63.06mD.m.
[0044] Specifically, the processing unit is provided with a preset porosity, and the reasons for the failure of the shale gas well fracturing are secondarily determined based on the porosity of the shale gas well, wherein:
[0045] If the preset porosity is less than or equal to the preset porosity, it is determined that the reason for the failure of the shale gas well is the problem of the number of hydraulic fracture length sections, and the number of hydraulic fracture length sections of the hydraulic fracture fracturing test model is re-determined;
[0046] If the porosity of the shale gas well is greater than the preset porosity, it is determined that the reason for the failure of the shale gas well is the hydraulic fracture cluster spacing problem, and the hydraulic fracture cluster spacing of the hydraulic fracture fracturing test model is re-determined.
[0047] Specifically, the processing unit is provided with a first preset porosity difference and a second preset porosity difference, and a plurality of adjustment methods for adjusting the number of hydraulic fracture length sections are provided based on the difference between the porosity of the shale gas well and the preset porosity, wherein:
[0048] If the porosity difference is less than or equal to the first preset porosity difference, the processing unit uses the first long segment quantity adjustment coefficient α1 to adjust the number of hydraulic fracture long segments of the hydraulic fracture fracturing test model to a corresponding value;
[0049] If the porosity difference is greater than the first preset porosity difference and less than or equal to the second preset porosity difference, the processing unit uses the second long segment quantity adjustment coefficient α2 to adjust the number of hydraulic fracture long segments of the hydraulic fracture fracturing test model to a corresponding value;
[0050] If the porosity difference is greater than the second preset porosity difference, the processing unit uses the third length section quantity adjustment coefficient α3 to adjust the number of hydraulic fracture length sections of the hydraulic fracture fracturing test model to a corresponding value;
[0051] In this embodiment, the adjustment formula used is, T'=T×αn, wherein T is the number of hydraulic fracture length sections before adjustment, T' is the number of hydraulic fracture length sections after adjustment, n is a positive integer, αn is the adjustment coefficient of the number of hydraulic fracture fracturing test model length sections, and in this embodiment, α1=0.99; α2=0.97; α3=0.95.
[0052] Specifically, the processing unit is provided with a first preset density and a second preset density of the shale gas well, and a plurality of adjustment methods for adjusting the spacing of hydraulic fracture clusters are provided based on the density of the shale gas well, wherein:
[0053] If the density of the shale gas well is less than or equal to the first preset density, the processing unit uses the first cluster spacing adjustment coefficient β1 to adjust the hydraulic fracture cluster spacing of the hydraulic fracture fracturing test model to a corresponding value;
[0054] If the density of the shale gas well is greater than the first preset density and less than or equal to the second preset density, the processing unit uses the second cluster spacing adjustment coefficient β2 to adjust the hydraulic fracture cluster spacing of the hydraulic fracture fracturing test model to a corresponding value;
[0055] If the density of the shale gas well is greater than the second preset density, the processing unit uses the third cluster spacing adjustment coefficient β3 to adjust the hydraulic fracture cluster spacing of the hydraulic fracture fracturing test model to a corresponding value;
[0056] In this embodiment, the adjustment formula used is, P'=P×βn, where P is the hydraulic fracture cluster spacing before adjustment, P' is the hydraulic fracture cluster spacing after adjustment, n is a positive integer, βn is the adjustment coefficient of the hydraulic fracture fracturing test model cluster spacing, and this embodiment uses, β1=1.16; β2=1.18; β3=1.19.
[0057] Specifically, the processing unit is provided with a preset overlap difference, and a processing method of the hydraulic fracture fracturing test model image information is determined based on the hydraulic fracture image overlap difference, wherein:
[0058] If the hydraulic fracture image overlap difference is less than or equal to a preset overlap difference, the processing unit determines that the processing method of the hydraulic fracture fracturing test model image information is a problem of the number of image processing feature points, and redetermines the number of image feature points;
[0059] If the hydraulic fracture image overlap difference is greater than a preset overlap difference, the processing unit determines that the processing method of the hydraulic fracture fracturing test model image information is an image grayscale problem, and redetermines the image grayscale.
[0060] Specifically, the processing unit is provided with a first preset density difference and a second preset density difference, and a plurality of adjustment methods for the number of image feature points are provided based on the difference between the density of the shale gas well and the preset density, wherein:
[0061] If the density difference is less than or equal to the first preset density difference, the processing unit uses the first feature point quantity adjustment coefficient γ1 to adjust the number of image feature points processed by the hydraulic fracture fracturing test model image information to a corresponding value;
[0062] If the density difference is greater than the first preset density difference and less than or equal to the second preset density difference, the processing unit uses the second feature point quantity adjustment coefficient γ2 to adjust the number of image feature points of the hydraulic fracture fracturing test model image information processing to a corresponding value;
[0063] If the density difference is greater than the second preset density difference, the processing unit uses the third feature point quantity adjustment coefficient γ3 to adjust the number of image feature points processed by the hydraulic fracture fracturing test model image information to a corresponding value;
[0064] In this embodiment, the adjustment formula used is: M'=M×γn, wherein M is the number of image feature points of the image information processing before adjustment, M' is the number of image feature points of the image information processing after adjustment, n is a positive integer, γn is the adjustment coefficient of the number of feature points of the hydraulic fracture fracturing test model image information processing, and in this embodiment, γ1=1.12; γ2=1.13; γ3=1.14.
[0065] Specifically, the processing unit is provided with a first preset hydraulic fracture cluster spacing and a second preset hydraulic fracture cluster spacing, and is provided with a plurality of grayscale adjustment methods of the hydraulic fracture fracturing test model image information based on the hydraulic fracture cluster spacing, wherein:
[0066] If the hydraulic fracture cluster spacing is less than or equal to the first preset hydraulic fracture cluster spacing, the processing unit uses the first grayscale adjustment coefficient ω1 to adjust the grayscale of the hydraulic fracture fracturing test model image information to a corresponding value;
[0067] If the hydraulic fracture cluster spacing is greater than the first preset hydraulic fracture cluster spacing and greater than the second preset hydraulic fracture cluster spacing, the processing unit uses the second grayscale adjustment coefficient ω2 to adjust the grayscale of the hydraulic fracture fracturing test model image information to a corresponding value;
[0068] If the hydraulic fracture cluster spacing is greater than the second preset hydraulic fracture cluster spacing, the processing unit uses the third grayscale adjustment coefficient ω3 to adjust the grayscale of the hydraulic fracture fracturing test model image information to a corresponding value;
[0069] In this embodiment, the adjustment formula used is, N'=N×ωn, wherein N is the grayscale of the hydraulic fracture fracturing test model image information before adjustment, N' is the grayscale of the hydraulic fracture fracturing test model image information after adjustment, n is a positive integer, ωn is the grayscale adjustment coefficient of the hydraulic fracture fracturing test model image information processing, and this embodiment uses, ω1=0.98; ω2=0.96; ω3=0.94.
[0070] Specifically, after the hydraulic fracture test model described in the embodiment completes the shale gas well fracturing, the average fracture length is 200m-300m, the fracture width is 3-4mm, the fracture height is 20-30m, the supporting fracture height is 13-14m, and the flow conductivity is 27-64mD.m.
[0071] So far, the technical solutions of the present invention have been described in conjunction with the preferred embodiments shown in the accompanying drawings. However, it is easy for those skilled in the art to understand that the protection scope of the present invention is obviously not limited to these specific embodiments. Without departing from the principle of the present invention, those skilled in the art can make equivalent changes or substitutions to the relevant technical features, and the technical solutions after these changes or substitutions will fall within the protection scope of the present invention.
[0072] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. For those skilled in the art, the present invention may have various modifications and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.
Claims
1. A method for analyzing the fracturing effect based on shale gas geological engineering integration, characterized in that: include: superimposing microseismic data and natural fractures into an integrated hydraulic fracture fracturing test model according to geological attribute parameter information of the shale gas well, wherein the geological attribute parameter information includes the porosity and density of the shale gas well; Collecting hydraulic fracture geometric image information after shale gas well fracturing according to the hydraulic fracture fracturing test model, wherein the hydraulic fracture geometric image information includes the number of hydraulic fracture long sections and the hydraulic fracture cluster spacing; Processing the acquired hydraulic joint geometric image information, wherein the processing parameters include the number of hydraulic joint image feature points and the grayscale of the hydraulic joint image; Determine whether the shale gas well is qualified based on the comparison result of the geometric image information of the hydraulic fractures after the shale gas well is fractured, and determine the processing method of the hydraulic fracture fracturing test model image information based on the density of the shale gas well, and re-determine the number of hydraulic fracture length sections or the hydraulic fracture cluster spacing of the hydraulic fracture fracturing test model based on the porosity of the shale gas well; The processing unit is provided with a first preset overlap and a second preset overlap, and determines whether the shale gas well is qualified for fracturing based on the hydraulic fracture image overlap, wherein: If the hydraulic fracture image overlap is less than or equal to a first preset overlap, the processing unit determines that the shale gas well is not compliant with the hydraulic fracture fracturing test model, and determines a processing method for the hydraulic fracture fracturing test model image information based on the density of the shale gas well; If the hydraulic fracture image overlap is greater than a first preset overlap and less than or equal to a second preset overlap, the processing unit preliminarily determines that the shale gas well is unqualified for hydraulic fracturing, and re-determines the reason for the unqualified hydraulic fracturing of the shale gas well based on the porosity of the shale gas well; If the hydraulic fracture image overlap is greater than a second preset overlap, the processing unit determines that the shale gas well is qualified for fracturing and continues the simulation test; The processing method of the hydraulic fracture fracturing test model image information includes several grayscale adjustment methods of the hydraulic fracture fracturing test model image information and several image feature point quantity adjustment methods; The processing unit is provided with a preset porosity, and the reason why the shale gas well is unqualified for fracturing is re-determined based on the porosity of the shale gas well, wherein: If the preset porosity is less than or equal to the preset porosity, it is determined that the reason for the failure of the shale gas well is the problem of the number of hydraulic fracture length sections, and the number of hydraulic fracture length sections of the hydraulic fracture fracturing test model is re-determined; If the porosity of the shale gas well is greater than the preset porosity, it is determined that the reason for the failure of the shale gas well is a problem of the hydraulic fracture cluster spacing, and the hydraulic fracture cluster spacing of the hydraulic fracture fracturing test model is re-determined; The processing unit is provided with a preset overlap difference, and a processing method of the hydraulic fracture fracturing test model image information is determined based on the hydraulic fracture image overlap difference, wherein: If the hydraulic fracture image overlap difference is less than or equal to the preset overlap difference, it is determined that there is a problem with the number of feature points in the hydraulic fracture fracturing test model image processing, and the processing method for the number of image feature points is re-determined; If the hydraulic fracture image overlap difference is greater than the preset overlap difference, it is determined to be a grayscale problem of the hydraulic fracture fracturing test model image, and the image grayscale processing method is re-determined.
2. The method for analyzing the fracturing effect based on shale gas geology and engineering integration according to claim 1 is characterized in that: The overlap is the ratio of the length of the overlapping line segments in the contour lines of the hydraulic fracture geometry image information collected after shale gas well fracturing and the contour lines in the hydraulic fracture geometry image information to the total length of the contour lines in the hydraulic fracture geometry image information.
3. The method for analyzing the fracturing effect based on shale gas geology and engineering integration according to claim 2 is characterized in that: The processing unit is provided with a first preset porosity difference and a second preset porosity difference. Based on the difference between the porosity of the shale gas well and the preset porosity, a plurality of adjustment methods for adjusting the number of hydraulic fracture length sections are provided, and the adjustment range of the number of hydraulic fracture length sections of the hydraulic fracture fracturing test model using each adjustment method is different.
4. The method for analyzing the fracturing effect based on shale gas geology and engineering integration according to claim 3 is characterized in that: The processing unit is provided with a first preset density and a second preset density of the shale gas well, and a plurality of adjustment methods for the hydraulic fracture cluster spacing are provided based on the density of the shale gas well, and the adjustment range of the hydraulic fracture cluster spacing of the hydraulic fracture fracturing test model is different when each adjustment method is used.
5. The method for analyzing the fracturing effect based on shale gas geology and engineering integration according to claim 4 is characterized in that: The processing unit is provided with a plurality of adjustment methods for the number of image feature points based on the difference between the density of the shale gas well and the preset density, and the adjustment range of the number of image feature points using each adjustment method is different.
6. The method for analyzing the fracturing effect based on shale gas geology and engineering integration according to claim 5 is characterized in that: The processing unit is provided with a plurality of grayscale adjustment modes for the image information of the hydraulic fracture fracturing test model based on the hydraulic fracture cluster spacing, and the grayscale adjustment amplitude of the image information using each adjustment mode is different.
7. The method for analyzing the fracturing effect based on shale gas geology and engineering integration according to claim 6 is characterized in that: After the hydraulic fracture fracturing test model completes the fracturing of the shale gas well, the average fracture length is 200m~300m, the fracture width is 3~4mm, the fracture height is 20~30m, the supporting fracture height is 13~14m, and the flow conductivity is 27~64mD.m.
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