Fracture structure identification method, device, equipment and medium

By combining the mapping relationship between the features of the ultrasonic images inside the borehole and the preset structural type, the fracture structure of the target borehole is automatically analyzed, which solves the problems of low accuracy and high subjectivity caused by the reliance on a single parameter in the existing technology, and realizes the standardization and accuracy improvement of fracture structure identification.

CN117908135BActive Publication Date: 2026-07-21CHINA RAILWAY FIRST SURVEY & DESIGN INST GRP +1
View PDF 2 Cites 0 Cited by

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
CHINA RAILWAY FIRST SURVEY & DESIGN INST GRP
Filing Date
2022-10-10
Publication Date
2026-07-21

AI Technical Summary

Technical Problem

Existing ultrasonic imaging data processing software relies on a single parameter when identifying fracture structures, lacking a unified standard, which leads to problems such as high human subjectivity and low accuracy in the identification results.

Method used

By acquiring the ultrasonic images inside the target borehole and combining the mapping relationship between preset structural types and preset structural values, the characteristics, thickness, and parameters of the ultrasonic images inside the borehole and the parameters of the target borehole are analyzed to identify the fracture structural type. The fracture structural identification device and equipment are used for automated analysis.

Benefits of technology

This has achieved standardization and improved accuracy in fracture structure identification, reduced human subjectivity, and increased the reliability of identification results.

✦ Generated by Eureka AI based on patent content.

Smart Images

  • Figure CN117908135B_ABST
    Figure CN117908135B_ABST
Patent Text Reader

Abstract

The present disclosure relates to a fracture structure identification method, device, equipment and medium, the present disclosure obtains the borehole ultrasonic image of the target borehole, carries out preliminary analysis on the fracture structure of the target borehole based on the mapping relationship between the borehole ultrasonic image of the target borehole and the preset structure type and the preset structure value, determines whether the target borehole exists fracture, in the case where the target borehole exists fracture, according to the borehole ultrasonic image feature, the structure zone thickness of the fracture in the vertical direction of the target borehole and the first parameter of the target borehole, and the mapping relationship between the preset structure type and the preset structure value, the fracture structure type of the target borehole is analyzed, and the fracture structure identification result of the target borehole is obtained, thereby, the fracture structure of the target borehole can be identified through multiple parameters, and the mapping relationship between the preset structure type and the preset structure value is used to realize the unity of the fracture structure division standard, and the accuracy of the fracture structure identification is improved.
Need to check novelty before this filing date? Find Prior Art

Description

Technical Field

[0001] This disclosure relates to the field of engineering geophysical exploration technology, and in particular to a method, apparatus, equipment and medium for identifying fracture structures. Background Technology

[0002] With the rapid development of my country's social economy, the requirements for the accuracy of geological structure exploration in engineering projects are becoming increasingly stringent. Engineering geophysical exploration technology, as an important means of geological exploration, is also continuously developing towards higher precision and intelligence. The accuracy and standardization of the identification results of geological structures, fractures, and other targets during engineering geophysical exploration are crucial to geological route selection and engineering quality and safety. Ultrasonic imaging logging is one of the important means of identifying structural fractures within boreholes and is increasingly being applied in engineering geological exploration. Therefore, developing practical and feasible in-hole ultrasonic imaging data processing procedures and fracture identification standards is essential for the qualitative analysis of geological structures and the determination of their engineering nature.

[0003] Currently, commonly used ultrasound imaging data processing software provides seven fracture structure modes for structural classification: Broken zone, Major open joint / fracture, Minor open joint / fracture, Partial open joint / fracture, Filled Fracture, Beding / Banding / Foliation, and Induced Fracture.

[0004] However, current methods for identifying fracture structures mainly rely on a single parameter in ultrasonic images. This results in a single identification criterion and a lack of unified standards for classifying structures. During data processing and interpretation, the criteria for classifying structures are defined based on the intuitive understanding and interpretation of the images by personnel, leading to significant human subjectivity and inaccurate structure identification. Summary of the Invention

[0005] In order to solve the above-mentioned technical problems, or at least partially solve the above-mentioned technical problems, this disclosure provides a method, apparatus, device and medium for identifying fracture structures.

[0006] In a first aspect, embodiments of this disclosure provide a method for identifying fracture structures, including:

[0007] Acquire intra-hole ultrasonic images of the target borehole, including amplitude images and time-of-travel images;

[0008] Based on the in-hole ultrasonic images of the target borehole and the mapping relationship between the preset structural type and the preset structural value, a preliminary analysis of the fracture structure of the target borehole is conducted to determine whether there is a fracture in the target borehole. The preset structural value is used to characterize the structural features, structural attitude and location information corresponding to the preset structural type.

[0009] When a fracture exists in the target borehole, the fracture structure type of the target borehole is analyzed based on the features of the ultrasonic image inside the borehole, the thickness, the first parameter of the target borehole, and the mapping relationship between the preset structure type and the preset structure value, so as to obtain the fracture structure identification result of the target borehole. The thickness is the thickness of the structure zone of the fracture in the vertical direction of the target borehole.

[0010] Secondly, embodiments of this disclosure provide a fracture structure identification device, comprising:

[0011] The image acquisition module is used to acquire in-hole ultrasonic images of the target borehole, including acoustic amplitude images and time-of-travel images;

[0012] The fracture determination module is used to perform a preliminary analysis of the fracture structure of the target borehole based on the in-hole ultrasonic image of the target borehole and the mapping relationship between the preset structure type and the preset structure value, to determine whether there is a fracture in the target borehole. The preset structure value is used to characterize the structural features, structural attitude and location information corresponding to the preset structure type.

[0013] The result acquisition module is used to analyze the fracture structure type of the target borehole based on the features of the ultrasonic image inside the borehole, the thickness, the first parameter of the target borehole, and the mapping relationship between the preset structure type and the preset structure value when there is a fracture in the target borehole, and to obtain the fracture structure identification result of the target borehole. The thickness is the thickness of the structure zone of the fracture in the vertical direction of the target borehole.

[0014] Thirdly, embodiments of this disclosure provide an electronic device, including:

[0015] Memory;

[0016] Processor; and

[0017] Computer programs;

[0018] The computer program is stored in memory and configured to be executed by a processor to implement the method described in the first aspect.

[0019] Fourthly, embodiments of this disclosure provide a computer-readable storage medium having a computer program stored thereon, the computer program being executed by a processor to implement the method described in the first aspect.

[0020] The fracture structure identification method, apparatus, device, and medium provided in this disclosure can acquire an intra-hole ultrasonic image of a target borehole, including an amplitude image and a time-of-travel image. Based on the intra-hole ultrasonic image of the target borehole and the mapping relationship between a preset structure type and a preset structure value, a preliminary analysis of the fracture structure of the target borehole is performed to determine whether a fracture exists in the target borehole. The preset structure value is used to characterize the structural features, structural orientation, and location information corresponding to the preset structure type. When a fracture exists in the target borehole, the fracture structure type of the target borehole is analyzed based on the intra-hole ultrasonic image features, thickness, and a first parameter of the target borehole, as well as the mapping relationship between the preset structure type and the preset structure value, to obtain the fracture structure identification result of the target borehole. The thickness is the thickness of the structural band of the fracture in the vertical direction of the target borehole. Therefore, the fracture structure of the target borehole can be identified by combining the intra-hole ultrasonic image features, thickness, and the first parameter of the target borehole. Furthermore, the mapping relationship between the preset structure type and the preset structure value achieves a unified standard for fracture structure classification, improving the accuracy of fracture structure identification. Attached Figure Description

[0021] The accompanying drawings, which are incorporated in and form a part of this specification, illustrate embodiments consistent with this disclosure and, together with the description, serve to explain the principles of this disclosure.

[0022] To more clearly illustrate the technical solutions in the embodiments of this disclosure or the prior art, the accompanying drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, for those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0023] Figure 1 A flowchart of a fracture structure identification method provided in this disclosure embodiment;

[0024] Figure 2 This is a schematic diagram illustrating the relationship between ultrasonic imaging and borehole depth, provided as an embodiment of the present disclosure.

[0025] Figure 3 This is another schematic diagram illustrating the change in ultrasonic imaging and borehole depth provided in an embodiment of this disclosure;

[0026] Figure 4 Flowchart of another fracture structure identification method provided in this disclosure embodiment;

[0027] Figure 5 This is a schematic diagram of the structure of a fracture structure identification device provided in an embodiment of the present disclosure;

[0028] Figure 6This is a schematic diagram of the structure of an electronic device provided in an embodiment of this disclosure. Detailed Implementation

[0029] To better understand the above-mentioned objectives, features, and advantages of this disclosure, the solutions disclosed herein will be further described below. It should be noted that, unless otherwise specified, the embodiments and features described herein can be combined with each other.

[0030] Numerous specific details are set forth in the following description in order to provide a full understanding of this disclosure, but this disclosure may also be implemented in other ways different from those described herein; obviously, the embodiments in the specification are only some, and not all, of the embodiments of this disclosure.

[0031] It should be understood that the steps described in the method embodiments of this disclosure may be performed in different orders and / or in parallel. Furthermore, the method embodiments may include additional steps and / or omit the steps shown. The scope of this disclosure is not limited in this respect.

[0032] It should be noted that, in this document, relational terms such as "first" and "second" are used merely 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.

[0033] It should be noted that the terms "a" and "a plurality of" used in this disclosure are illustrative rather than restrictive, and those skilled in the art should understand that, unless otherwise expressly indicated in the context, they should be understood as "one or more".

[0034] Typically, fracture structure identification methods rely primarily on a single parameter from ultrasonic images. This reliance on a single criterion and the lack of a unified standard for structure classification leads to subjective interpretation and inaccurate identification during data processing. To address this issue, this disclosure provides a fracture structure identification method, which is described below with specific embodiments.

[0035] Figure 1This is a flowchart illustrating a fracture structure identification method provided in an embodiment of this disclosure. The method can be executed by a fracture structure identification device, which can be implemented in software and / or hardware. The device can be configured in an electronic device, such as a server or terminal, where the terminal specifically includes a mobile phone, computer, or tablet computer.

[0036] The following is combined with Figure 1 The method for identifying fracture structures is introduced below, and the specific steps included in this method are as follows.

[0037] S110. Acquire an intra-hole ultrasonic image of the target borehole, including an amplitude image and a travel time image.

[0038] In this embodiment of the disclosure, when it is necessary to analyze the fracture structure of the target borehole, the electronic device acquires an intra-hole ultrasonic image of the target borehole, which includes an amplitude image and a travel time image.

[0039] In the embodiments disclosed herein, drilling can be understood as a hole formed by machining a hole in a solid material using a drill bit or drilling equipment.

[0040] Optionally, the borehole can be a geological survey or exploration borehole, a water well, an engineering geological borehole, a geothermal borehole, an engineering foundation construction borehole, a mining or tunnel engineering borehole, etc., without any restrictions.

[0041] For example, in geological exploration, drilling can be understood as drilling a small-diameter, large-depth cylindrical hole into the ground using drilling equipment. It can also be called a well. Drilling is mainly used for geological structure exploration and mineral reserve exploration.

[0042] The target borehole is the borehole that requires fracture structure identification and analysis.

[0043] Furthermore, in-hole ultrasonic images are ultrasonic images obtained by monitoring the target borehole using ultrasonic technology.

[0044] Optionally, the intra-orifice ultrasound images may include amplitude images and time-of-travel images.

[0045] Furthermore, sound amplitude refers to the amplitude of sound wave vibration.

[0046] Travel time refers to the total time it takes for a sound wave emitted from the transmitter to be reflected back to the transmitter through the borehole wall.

[0047] Optionally, the acoustic amplitude and travel time can be obtained by detecting the borehole using an ultrasonic detector, or by any device with acoustic amplitude and travel time detection capabilities, without any limitation.

[0048] In this embodiment of the disclosure, the acoustic amplitude image is an ultrasonic image used to characterize the acoustic amplitude as the depth of the target borehole changes.

[0049] Travel-time images are ultrasonic images used to characterize the changes in depth of the target borehole during travel.

[0050] Optionally, the acoustic amplitude image and travel time image can be automatically generated by importing the depth value of the target borehole and its corresponding acoustic amplitude and travel time data into a preset fracture structure analysis software.

[0051] Optionally, the preset fracture structure analysis software can be WellCAD software, or any software that can process borehole data; there are no restrictions here.

[0052] Specifically, when the electronic device needs to analyze the fracture structure of the target borehole, it imports the depth value of the target borehole and its corresponding acoustic amplitude and travel time data pre-stored in the electronic device's memory into the preset fracture structure analysis software to generate an intra-hole ultrasonic image of the target borehole, thereby obtaining the intra-hole ultrasonic image of the target borehole.

[0053] S120. Based on the ultrasonic image inside the target borehole and the mapping relationship between the preset structural type and the preset structural value, a preliminary analysis of the fracture structure of the target borehole is performed to determine whether there is a fracture in the target borehole. The preset structural value is used to characterize the structural features, structural attitude and location information corresponding to the preset structural type.

[0054] In this embodiment of the disclosure, after acquiring the ultrasonic image inside the target borehole, the electronic device performs a preliminary analysis of the fracture structure of the target borehole based on the ultrasonic image inside the target borehole and the mapping relationship between the preset structure type and the preset structure value, to determine whether there is a fracture in the target borehole. The preset structure value is used to characterize the structural features, structural occurrence and location information corresponding to the preset structure type.

[0055] In this embodiment of the disclosure, the structural features can be understood as the different characteristics exhibited by the fracture structure at different depths of the target borehole, such as the thickness of the structural zone of the fracture in the vertical direction of the target borehole, the characteristics of acoustic amplitude variation, and the characteristics of travel time variation.

[0056] Structural attitude can be understood as the spatial occurrence state of a fracture structure, mainly including its shape and orientation, such as the dip angle and dip direction of the structure corresponding to the fracture.

[0057] Location information can be understood as the location of the fracture in the target borehole, such as the depth of the fracture in the target borehole.

[0058] In this embodiment of the present disclosure, after the electronic device acquires the ultrasonic image inside the target borehole, it extracts the feature values ​​of the ultrasonic image inside the target borehole, and performs a preliminary analysis of the fracture structure of the target borehole by means of the mapping relationship between the feature values ​​of the ultrasonic image inside the borehole and the preset structure type and preset structure value.

[0059] Optionally, the intra-hole ultrasonic image feature values ​​may include acoustic amplitude image color display values, acoustic amplitude variation values, travel time image color display values, travel time variation values, and may also include bedding variation law values, structural attitude similarity values, etc., without limitation.

[0060] In this embodiment of the disclosure, the preliminary analysis of the fracture structure of the target borehole based on the in-hole ultrasonic image and the mapping relationship between the preset structure type and the preset structure value can be understood as comparing the in-hole ultrasonic image feature value corresponding to the in-hole ultrasonic image of the target borehole with the preset image feature value in the preset structure value in the mapping relationship between the preset structure type and the preset structure value. If the in-hole ultrasonic image feature value of the target borehole satisfies any one of the preset structure values ​​in the preset image feature value, then it is determined that there is a fracture in the target borehole.

[0061] Among them, the preset image feature values ​​may include preset sound amplitude image color threshold, preset sound amplitude change threshold, preset travel time image color threshold, preset travel time change threshold, preset stratification change law threshold, constructed attitude similarity threshold, etc., which are not limited here.

[0062] In some embodiments of this disclosure, when the electronic device performs crack structure analysis on the acoustic amplitude image in the ultrasonic image inside the borehole, if the color display value and acoustic amplitude change value of a certain region simultaneously satisfy the preset acoustic amplitude image color threshold and the preset acoustic amplitude change threshold in the preset image feature values, it indicates that the acoustic amplitude is weak in this region, that is, the image color of this region is dark, and it is determined that there is a structural crack in this region; if the color display value and acoustic amplitude change value of the acoustic amplitude image do not satisfy the preset acoustic amplitude image color threshold and the preset acoustic amplitude change threshold in the preset image feature values, it indicates that the acoustic amplitude is strong in this region, that is, the image color of this region is bright, and it is determined that there is no structural crack in this region, wherein a certain region is an image region corresponding to the depth position of the target borehole.

[0063] Figure 2 A schematic diagram illustrating the relationship between ultrasonic imaging and borehole depth is shown. Figure 2 As shown in the diagram, "Depth" represents the depth of the target borehole, and the depth shown in the diagram is 1:50 to the actual depth. "Travel Time" represents the travel time, and "Amplitude" represents the amplitude.

[0064] In some embodiments of this disclosure, such as Figure 2As shown, region B in the sound amplitude image corresponding to the third column is the region where the sound amplitude image color display value and sound amplitude change value satisfy the preset sound amplitude image color threshold and the preset sound amplitude change threshold. Figure 2 As can be seen, compared with other areas, area B is a region where the image color is significantly darker, meaning that area B contains cracks, while other areas outside of area B do not contain cracks.

[0065] In other embodiments of this disclosure, when the electronic device performs fracture structure analysis on the travel time images in the intraorific ultrasonic images, if the color display value and travel time variation value of a certain region simultaneously satisfy the preset travel time image color threshold and preset travel time variation threshold in the preset image feature values, it indicates that the travel time in this region is long, that is, the image color in this region is bright, and it is determined that there is a structural crack in this region; if the color display value and amplitude variation value of the travel time image do not satisfy the preset travel time image color threshold and preset travel time variation threshold in the preset image feature values, it indicates that the travel time in this region is short, that is, the image color in this region is dark, and it is determined that there is no structural crack in this region.

[0066] In other embodiments of this disclosure, such as Figure 2 As shown, region A in the travel time image corresponding to the second column is the region where the travel time image color display value and travel time change value satisfy the preset travel time image color display value and preset travel time change value in the preset image feature values. Figure 2 As can be seen, compared with other areas, the brighter area, that is, the crack structure exists in area A, and area A is a relatively obvious area with bright image color display. In other words, area A is an area with cracks, while other areas outside of area A do not have cracks.

[0067] In some embodiments of this disclosure, when the electronic device performs crack structure analysis on the acoustic amplitude image and travel time image in the intraorific ultrasonic image, if the acoustic amplitude image color display value, acoustic amplitude change value, travel time image color display value, and travel time change value of a certain region simultaneously satisfy the preset acoustic amplitude image color threshold, preset acoustic amplitude change threshold, preset travel time image color threshold, and preset travel time change threshold, then it is determined that there is a crack in this region; otherwise, there is no crack.

[0068] Specifically, after the electronic device acquires the ultrasonic image inside the target borehole, it extracts the ultrasonic image features inside the target borehole. Based on whether the ultrasonic image features inside the target borehole satisfy the preset image features in the mapping relationship between preset structure type and preset structure value, it determines whether there is a crack in the target borehole.

[0069] S130. When there is a fracture in the target borehole, the fracture structure type of the target borehole is analyzed based on the features of the ultrasonic image inside the borehole, the thickness, the first parameter of the target borehole, and the mapping relationship between the preset structure type and the preset structure value, so as to obtain the fracture structure identification result of the target borehole. The thickness is the thickness of the structure zone of the fracture in the vertical direction of the target borehole.

[0070] In this embodiment of the disclosure, when there is a crack in the target borehole, the electronic device further analyzes the crack structure type of the target borehole based on the features of the ultrasonic image inside the borehole, the thickness, the first parameter of the target borehole, and the mapping relationship between the preset structure type and the preset structure value, to obtain the crack structure identification result of the target borehole, wherein the thickness is the thickness of the structure band of the crack in the vertical direction of the target borehole.

[0071] Among them, the structural types of fractures include seven types: broken zone, major open joint / fracture, minor open joint / fracture, partial open joint / fracture, filled fracture, beding / banding / foliation, and induced fracture.

[0072] In this embodiment of the disclosure, the thickness is the thickness of the structural zone of the fracture in the vertical direction of the target borehole, such as... Figure 2 The distance cd shown is the difference between the depth of the borehole corresponding to point d and the depth of the borehole corresponding to point c. This gives the thickness of the structural zone of the fracture in the depth region of 91.0 to 92.0. Further, point c represents the highest point of the structural zone where the fracture occurs, and point d represents the lowest point of the structural zone where the fracture occurs.

[0073] In this embodiment of the disclosure, the first parameter is a parameter used to characterize the well diameter, which may include the maximum value of the well diameter corresponding to the borehole depth, the minimum value of the well diameter, etc.

[0074] Well diameter can be understood as the diameter of the borehole.

[0075] Specifically, when a crack exists in the target borehole, the electronic device uses a pre-set crack structure analysis software to extract the intra-hole ultrasonic image features of the cracked area and the thickness of the crack structure band in the vertical direction of the target borehole. At the same time, it obtains the first parameter of the target borehole and inputs the first parameter into the pre-set crack structure analysis software. The pre-set crack structure analysis software analyzes the crack structure type of the target borehole based on the extracted intra-hole ultrasonic image features of the cracked area, the thickness of the crack structure band in the vertical direction of the target borehole, the first parameter of the target borehole, and the mapping relationship between the pre-set structure type and the pre-set structure value, and obtains the crack structure identification result of the target borehole.

[0076] Optionally, the fracture structure identification results of the target borehole may include the fracture structure type, the depth value of the borehole corresponding to the fracture structure type, the total number of fractures, the number of fractures corresponding to different structure types, and may also include the dip angle and dip direction of the fractures, etc., without limitation.

[0077] Here, dip direction represents the tilt direction of the fracture structure, and dip angle represents the degree of tilt of the fracture structure. The dip direction ranges from 0° to 360°, and the dip angle ranges from 0° to 90°.

[0078] Furthermore, the analysis of the dip and inclination of fracture structures can provide a useful basis for subsequent engineering applications.

[0079] In this embodiment, the electronic device can acquire an intra-hole ultrasonic image of a target borehole, including an amplitude image and a time-of-travel image. Based on the intra-hole ultrasonic image of the target borehole and the mapping relationship between a preset structural type and a preset structural value, a preliminary analysis of the fracture structure of the target borehole is performed to determine whether a fracture exists in the target borehole. The preset structural value is used to characterize the structural features, structural orientation, and location information corresponding to the preset structural type. When a fracture exists in the target borehole, the fracture structure type of the target borehole is analyzed based on the intra-hole ultrasonic image features, thickness, and a first parameter of the target borehole, as well as the mapping relationship between the preset structural type and the preset structural value, to obtain the fracture structure identification result of the target borehole. The thickness is the structural band thickness of the fracture in the vertical direction of the target borehole. Thus, the fracture structure of the target borehole can be identified by combining the intra-hole ultrasonic image features, thickness, and the first parameter of the target borehole. Furthermore, the mapping relationship between the preset structural type and the preset structural value achieves a unified standard for fracture structure classification, improving the accuracy of fracture structure identification.

[0080] In some embodiments of this disclosure, the first parameter of the target borehole includes the depth value of the target borehole and the maximum and minimum values ​​of the well diameter corresponding to the depth value of the target borehole.

[0081] Further, S130 may specifically include: calculating the borehole diameter change rate based on the first parameter of the target borehole; comparing the features of the ultrasonic image inside the borehole with the image features in the mapping relationship between the preset structural type and the preset structural value to obtain a first comparison result; comparing the thickness with the thickness in the mapping relationship between the preset structural type and the preset structural value to obtain a second comparison result; comparing the borehole diameter change rate with the borehole diameter change rate in the mapping relationship between the preset structural type and the preset structural value to obtain a third comparison result; and obtaining the fracture structure identification result of the target borehole based on the first comparison result, the second comparison result, and the third comparison result.

[0082] In this embodiment of the disclosure, the electronic device imports the first parameter of the target borehole into a preset fracture structure analysis software, generates a well diameter curve based on the depth value of the target borehole in the first parameter and the maximum and minimum values ​​of the corresponding well diameter, and calculates the well diameter change rate based on the first parameter.

[0083] Optionally, the caliper curve is a curve showing the change between caliper diameter and borehole depth. It may include curves showing the change between the maximum caliper diameter and borehole depth, the minimum caliper diameter and borehole depth, and the average caliper diameter and borehole depth. It can reflect the fracture situation of the target borehole based on the change in caliper diameter.

[0084] The borehole diameter change rate is used to characterize the degree of borehole diameter change with borehole depth, and is measured as a percentage change in borehole diameter.

[0085] In this embodiment of the disclosure, the electronic device calculates the target borehole diameter change rate according to a preset well diameter change rate formula based on the first parameter of the target borehole.

[0086] Specifically, the formula for calculating the wellbore diameter change rate A (%) is as follows:

[0087] A = (D max -D min ) / D

[0088] Among them, D max D represents the maximum diameter of a well at a fixed drilling depth. min The difference between the minimum diameters of a fixed borehole depth and the fixed diameter of the drill bit is D. For example, if the target borehole is drilled with a diameter of 100mm, then the fixed diameter of the target borehole is 100.

[0089] In some embodiments of this disclosure, the electronic device can determine the maximum and minimum well diameter values ​​corresponding to a certain fixed drilling depth by using data on the travel time of a borehole at a certain fixed drilling depth and the propagation speed of sound waves stored in a memory beforehand, and then determine the well diameter change rate based on the maximum and minimum well diameter values ​​at a certain fixed drilling depth.

[0090] In other embodiments of this disclosure, the electronic device may also directly determine the well diameter change rate by pre-stored in the memory the maximum and minimum well diameter values ​​corresponding to a fixed borehole depth.

[0091] In this embodiment of the present disclosure, the electronic device can obtain the in-hole ultrasonic image feature value of the target borehole through preset fracture structure analysis software, compare the in-hole ultrasonic image feature value with the corresponding image feature value in the mapping relationship between preset structure type and preset structure value, and obtain a first comparison result.

[0092] Optionally, the first comparison result may be whether the feature values ​​in the intra-orifice ultrasonic image meet the preset construction values, and the preset construction type corresponding to the intra-orifice ultrasonic image feature values ​​that meet the preset construction values.

[0093] Furthermore, the electronic device can obtain the thickness of the structural zone of the crack in the vertical direction of the target borehole in the ultrasonic image of the borehole containing the crack in the first comparison result through preset crack structure analysis software, and compare the obtained thickness of the structural zone of the crack in the vertical direction of the target borehole with the thickness in the preset structural value to obtain the second comparison result.

[0094] Optionally, the second comparison result may be whether the thickness of the fracture zone in the vertical direction of the target borehole meets the preset structural value, and the preset structural type corresponding to the thickness that meets the preset structural value.

[0095] Furthermore, the electronic device can obtain the borehole diameter change rate of the target borehole through preset structural fracture analysis software, and compare the obtained borehole diameter change rate of the target borehole at different depths with the borehole diameter change rate in the preset structural value to obtain a third comparison result.

[0096] Optionally, the third comparison result can be whether the borehole diameter change rate at different depths meets the preset structural value, and the preset structural type corresponding to the borehole diameter change rate that meets the preset structural value.

[0097] In this embodiment of the disclosure, the electronic device obtains the fracture structure identification result of the target borehole based on the obtained first comparison result, second comparison result and third comparison result.

[0098] Specifically, the electronic device filters out those that meet the preset structural values ​​from the first comparison result, the second comparison result, and the structural type corresponding to the feature value, thickness, and well diameter change rate of the ultrasonic image inside the borehole that meets the preset structural values ​​at the same depth or within the same depth range of the target borehole is determined as the structural type of the fracture in the target borehole at that depth or within that depth range. At the same time, the total number of fractures in the target borehole and the number of structural types of different fractures are counted to obtain the fracture structure identification result of the target borehole.

[0099] In this embodiment of the disclosure, the electronic device can analyze the fracture structure type of the target borehole by combining the features of the in-hole ultrasonic image, the thickness, the depth value of the target borehole in the first parameter of the target borehole, and the maximum and minimum values ​​of the well diameter corresponding to the depth value of the target borehole, and obtain the fracture identification result. Thus, it can identify the fracture structure by combining multiple borehole data, which further improves the accuracy of fracture structure identification.

[0100] Based on the above embodiments, after S130, the fracture structure identification method further includes: verifying the fracture structure identification result based on the features of the ultrasonic image inside the hole, the thickness, the first parameter of the target borehole, and the second parameter of the target borehole.

[0101] Specifically, after obtaining the fracture structure identification result of the target borehole, the electronic device imports the second parameter of the target borehole into the preset structural fracture analysis software, and further verifies the obtained fracture structure identification result in combination with the second parameter of the target borehole.

[0102] In some embodiments of this disclosure, the second parameters of the target borehole include the acoustic velocity, resistivity, natural potential, and natural gamma of the target borehole.

[0103] In this embodiment of the disclosure, the electronic device can obtain the acoustic velocity, resistivity, spontaneous potential and spontaneous gamma of the target borehole at different depths through a comprehensive logging tool.

[0104] In this embodiment of the disclosure, the fracture structure identification result of the target borehole is verified based on the features of the in-hole ultrasonic image, the thickness, the first parameter of the target borehole, and the second parameter of the target borehole. This includes: determining the curve of the change between the second parameter and the depth of the target borehole based on the second parameter; and verifying the fracture structure identification result of the target borehole based on the trend of the change between the second parameter and the depth of the target borehole, combined with the features of the in-hole ultrasonic image, the thickness, and the first parameter of the target borehole.

[0105] In this embodiment of the disclosure, after the electronic device obtains the second parameter of the target borehole, it imports the second parameter into a preset structural fracture analysis software to generate a curve of the second parameter changing with the depth of the target borehole, which mainly includes the acoustic velocity curve, resistivity curve, natural potential curve and natural gamma curve.

[0106] Furthermore, after generating the second parameter and the target borehole depth change curve, the electronic device calculates the changes in acoustic velocity, resistivity, spontaneous potential, and natural gamma, and compares them with preset change value thresholds to determine the changing trends of the acoustic velocity curve, resistivity curve, spontaneous potential curve, and natural gamma curve with the target borehole depth change curve.

[0107] The trend of change can include upward trend and downward trend.

[0108] In this embodiment of the disclosure, when the changes in sound velocity, resistivity, natural potential, and natural gamma satisfy a preset threshold for increasing change value, the sound velocity curve, resistivity curve, natural potential curve, and natural gamma curve are determined to be on an upward trend. When the changes in sound velocity, resistivity, natural potential, and natural gamma satisfy a preset threshold for decreasing change value, the sound velocity curve, resistivity curve, natural potential curve, and natural gamma curve are determined to be on a downward trend.

[0109] Furthermore, the trends of the acoustic velocity curve, resistivity curve, spontaneous potential curve, and natural gamma curve are compared with preset trends. If the trends of the acoustic velocity curve, resistivity curve, spontaneous potential curve, and natural gamma curve satisfy the preset trends, and the borehole diameter change rate corresponding to the feature value, thickness, and first parameter of the target borehole in the in-hole ultrasonic image corresponds to the trends of the acoustic velocity curve, resistivity curve, spontaneous potential curve, and natural gamma curve, then the fracture structure identification result of the target borehole is determined to be correct; otherwise, the result is incorrect.

[0110] Among them, the changing trends of the acoustic velocity curve, resistivity curve, spontaneous potential curve and natural gamma curve are related to the rock core of the target borehole, and the changing trends of the acoustic velocity curve, resistivity curve, spontaneous potential curve and natural gamma curve are also different for different rock cores.

[0111] For example, if the core sample from the target borehole is granite, then when there are fractures in the borehole, the acoustic velocity curve, resistivity curve, and natural gamma curve will show a downward trend, while the spontaneous potential curve will show an upward trend. If the core sample from the target borehole is marble, then when there are fractures in the borehole, the acoustic velocity curve and resistivity curve will show a downward trend, while the natural gamma curve and spontaneous potential curve will show an upward trend.

[0112] Figure 3 Another schematic diagram illustrating the relationship between ultrasonic imaging and borehole depth is shown. (e.g.) Figure 3 As shown in the diagram, "Depth" represents the depth of the borehole, and the depth shown in the diagram is 1:50 to the actual depth. "Travel Time" represents the travel time, "Amplitude" represents the amplitude, "Caliper-min" represents the minimum diameter, "Caliper-max" represents the maximum diameter, and "Caliper-ave" represents the average diameter.

[0113] by Figure 3 The diagram shown is used as an example for detailed explanation. It should be noted that, here, we will use... Figure 3 The examples are provided for the purpose of illustrating the embodiments more clearly and are not intended to be limiting.

[0114] like Figure 3 As shown, the last two columns correspond to the acoustic velocity curve, resistivity curve, spontaneous potential curve, and natural gamma curve, respectively. The figure shows that between borehole depths of 91.0 and 92.0 mm, the acoustic velocity curve, resistivity curve, and natural gamma curve all exhibit a significant downward trend, while the spontaneous potential curve shows no obvious trend. Furthermore, within this depth region, the acoustic amplitude image appears darker, while the travel time image appears brighter. Simultaneously, the average borehole diameter curve shows large fluctuations, meaning the difference between the maximum and minimum borehole diameter values ​​is significant, indicating a large rate of change in borehole diameter. Therefore, fractures exist between borehole depths of 91.0 and 92.0 mm.

[0115] In some embodiments of this disclosure, the electronic device may also automatically calculate the inclination and dip angle of the fracture in response to an input operation of a fracture curve on an ultrasonic image of a target borehole, and display the inclination and dip angle of the fracture with different symbols and colors according to different fracture structure types.

[0116] like Figure 3 As shown, the second to last column, which is the acoustic velocity curve and resistivity curve column, shows a "gray triangle with a tail". The gray triangle here represents the structural type of the fracture as a fracture zone, with a dip angle between 30° and 45° and a dip direction between 0° and 90°.

[0117] Alternatively, the electronic device may use red circles to represent major tension cracks, magenta circles to represent smaller tension cracks, orange circles to represent incomplete tension cracks, gray circles to represent filled cracks, green circles to represent texture (page texture), and blue triangles to represent secondary cracks.

[0118] In this embodiment of the disclosure, after obtaining the fracture structure identification result of the target borehole, the electronic device can further verify the fracture identification result by combining the second parameter of the target borehole. Thus, based on the ultrasonic image features, thickness and the first parameter of the target borehole, the second parameter and the change trend of the depth change curve of the target borehole can be further combined to verify the fracture structure identification result of the target borehole, thereby further improving the accuracy of the obtained fracture structure identification result of the target borehole.

[0119] In this embodiment of the disclosure, before S120, the fracture structure identification method further includes: obtaining the mapping relationship between a preset structure type and a preset structure value.

[0120] Specifically, before the electronic device performs a preliminary analysis of the fracture structure of the target borehole based on the in-hole ultrasonic image of the target borehole and the mapping relationship between the preset structure type and the preset structure value, it obtains the mapping relationship between the preset structure type and the preset structure value.

[0121] In this embodiment of the disclosure, the mapping relationship between the preset structure type and the preset structure value can be pre-stored in the memory. Before the electronic device performs a preliminary analysis of the fracture structure of the target borehole based on the ultrasonic image inside the target borehole and the mapping relationship between the preset structure type and the preset structure value, it can directly retrieve the data from the memory.

[0122] In this embodiment of the disclosure, the electronic device can obtain the mapping relationship between preset structure type and preset structure value before performing preliminary analysis of the fracture structure of the target borehole. Then, it can analyze the fracture structure through the mapping relationship between the preset structure type and preset structure value, ensuring the uniformity of the fracture structure classification standard, and not defining it based on the intuitive understanding and interpretation of the image by the personnel, thereby improving the accuracy of the analysis results.

[0123] Based on the above embodiments, obtaining the mapping relationship between preset construction types and preset construction values ​​includes: displaying a construction image interface of a sample borehole corresponding to the borehole data of the sample borehole based on the borehole data of the sample borehole, and a borehole data package containing the in-hole ultrasonic imaging data of the sample borehole, the first parameter of the borehole and the second parameter of the sample borehole; obtaining the construction value corresponding to the construction type in response to an input operation for the construction type of the sample borehole; and constructing a mapping relationship between preset construction types and preset construction values ​​based on the correspondence between construction types and construction values.

[0124] In this embodiment of the disclosure, the input operation for the construction type of the sample borehole can be understood as the operation in which the user inputs different construction types of different regions corresponding to the construction image interface, so that the electronic device can obtain the construction value corresponding to the construction type according to the different construction types of different regions.

[0125] Specifically, the electronic device generates a structural image of the sample drill hole corresponding to the drilling data of the sample drill hole based on the drilling data of the sample drill hole, and displays the structural image interface of the sample drill hole corresponding to the drilling data of the sample drill hole. According to the structural image interface of the sample drill hole corresponding to the drilling data of the sample drill hole displayed by the electronic device, the user inputs the structural type corresponding to the structural image of the sample drill hole in the image display interface. In response to the input operation for the structural type of the sample drill hole, the electronic device obtains the structural value corresponding to the structural type. Based on the correspondence between the structural type and the structural value, it constructs a mapping relationship between the preset structural type and the preset structural value.

[0126] In this embodiment of the disclosure, the electronic device can display a structural image interface of the sample drill hole corresponding to the drilling data of the sample drill hole based on the drilling data of the sample drill hole. In response to the user's input operation on the structural type of the sample drill hole, the device can obtain the structural value corresponding to the structural type from the structural image of the sample drill hole. Then, the device can construct a mapping relationship between the preset structural type and the preset structural value through the structural type and its corresponding structural value, thereby ensuring the accuracy of the obtained mapping relationship between the preset structural type and the preset structural value.

[0127] Furthermore, the structural values ​​include the ultrasonic image features, thickness, and borehole diameter variation rate of the sample borehole.

[0128] In this embodiment of the disclosure, obtaining the construction value corresponding to the construction type includes: determining the construction image region of the sample drill hole corresponding to the construction type of the sample drill hole based on the construction type of the sample drill hole; obtaining the construction value of the construction image region of the sample drill hole and determining it as the construction value corresponding to the construction type.

[0129] Specifically, the electronic device acquires different structural image regions corresponding to different structural types based on the structural type of the sample borehole. It calculates the ultrasonic image feature value, thickness, and borehole diameter change rate of different structural image regions based on the borehole data corresponding to the different structural image regions. It then maps the ultrasonic image feature value, thickness, and borehole diameter change rate of the structural image region to the structural type corresponding to that structural image region, thereby determining the structural value corresponding to the structural type.

[0130] In this embodiment of the disclosure, the mapping relationship between the preset construction type and the preset construction value is shown in Table 1.

[0131] Table 1. Mapping Relationship Between Preset Construct Types and Preset Construct Values

[0132]

[0133]

[0134] In this embodiment of the disclosure, the first amplitude color threshold is greater than the second amplitude color threshold, the first travel time color threshold is greater than the second travel time color threshold, the first amplitude threshold is greater than the second amplitude threshold, the first travel time threshold is greater than the second travel time threshold, the second amplitude color threshold is greater than the third amplitude color threshold, and so on, which will not be elaborated here.

[0135] Optionally, the first to fourth sound amplitude color thresholds can sequentially represent the sound amplitude image color changing from dark to bright, such as deep black, light black, dark gray, and light gray; the first to fourth travel time color thresholds can sequentially represent the travel time image color changing from bright to dark, such as white, light gray, dark gray, and light black; the first to fourth sound amplitude thresholds can sequentially represent the sound amplitude change becoming smaller, such as a significant decrease in sound amplitude, a decrease in sound amplitude, a slight decrease in sound amplitude, and an insignificant decrease in sound amplitude; the first to fifth travel time thresholds can sequentially represent the travel time change becoming smaller, such as a significant increase in travel time, an increase in travel time, a slight increase in travel time, no significant change in travel time, and an insignificant increase in travel time.

[0136] In this embodiment of the disclosure, the electronic device can determine the construction image region of the sample drill hole corresponding to the construction type by inputting the construction type of the sample drill hole, and then calculate the corresponding construction value in the construction image region, and determine it as the construction value corresponding to the construction type, thereby constructing a mapping relationship between the construction type and the construction value, and further improving the accuracy of constructing the mapping relationship between the construction type and the construction value.

[0137] Figure 4 A flowchart of a method for identifying fracture structures is shown. Figure 4 As shown, the specific steps of this fracture structure identification method are as follows.

[0138] S410. Obtain the mapping relationship between the preset construction type and the preset construction value.

[0139] S420. Obtain in-hole ultrasonic images of the target borehole.

[0140] In this embodiment, the execution order of S410 and S420 is not restricted. The call processing device may execute S410 first and then S420, or it may execute S420 first and then S410, or it may execute S410 and S420 simultaneously. No restrictions are imposed here.

[0141] S430. Based on the ultrasonic images inside the target borehole and the mapping relationship between the preset structure type and preset structure value, a preliminary analysis of the fracture structure of the target borehole is performed to determine whether fractures exist in the target borehole.

[0142] S440. When there are cracks in the target borehole, the crack structure type of the target borehole is analyzed based on the features of the ultrasonic image inside the borehole, the thickness, the first parameter of the target borehole, and the mapping relationship between the preset structure type and the preset structure value, so as to obtain the crack structure identification result of the target borehole.

[0143] In this embodiment of the disclosure, S420-S440 and Figure 1 S110-S130 in the illustrated embodiment are similar and will not be described in detail here.

[0144] S450. Based on the features of the ultrasonic image inside the borehole, the thickness, the first parameter of the target borehole, and the second parameter of the target borehole, the fracture structure identification results are verified.

[0145] In this embodiment of the disclosure, after obtaining the fracture structure identification result of the target borehole, the electronic device imports the second parameter of the target borehole into the preset fracture structure analysis software, and further verifies the obtained fracture structure identification result by combining the features of the ultrasonic image inside the borehole, the thickness, the first parameter of the target borehole, and the second parameter of the target borehole.

[0146] In this embodiment, the electronic device can perform a preliminary analysis of the fracture structure of the target borehole based on the in-hole ultrasonic image. Then, if a fracture exists in the target borehole, the device further analyzes and verifies the fracture structure by combining the thickness, the first parameter and the second parameter of the target borehole, and the mapping relationship between the preset structure type and the preset structure value. Finally, the fracture structure identification result of the target borehole is determined. Thus, further analysis is performed only when a fracture is determined to exist in the preliminary analysis, reducing the computational load when no fracture exists. At the same time, the analysis of the fracture structure by multiple parameters of the target borehole provides a multi-dimensional identification basis, and the mapping relationship between the preset structure type and the preset structure value also ensures the uniformity of the structure classification standard, further ensuring the accuracy of the fracture identification result.

[0147] Figure 5 This is a schematic diagram of the structure of a fracture structure identification device provided in an embodiment of this disclosure. The fracture structure identification device can be configured in an electronic device, such as a server or terminal, wherein the terminal specifically includes a mobile phone, computer, or tablet computer. The fracture structure identification device provided in this embodiment of the disclosure can execute the processing flow provided in the embodiment of the fracture structure identification method.

[0148] like Figure 5As shown, the fracture structure identification device 500 includes an image acquisition module 510, a fracture determination module 520, and a result acquisition module 530.

[0149] The image acquisition module 510 can be used to acquire in-hole ultrasonic images of the target borehole, including amplitude images and travel time images.

[0150] The fracture determination module 520 can be used to perform a preliminary analysis of the fracture structure of the target borehole based on the in-hole ultrasonic image of the target borehole and the mapping relationship between the preset structure type and the preset structure value, to determine whether there is a fracture in the target borehole. The preset structure value is used to characterize the structural features, structural attitude and location information corresponding to the preset structure type.

[0151] The result acquisition module 530 can be used to analyze the fracture structure type of the target borehole based on the features of the ultrasonic image inside the borehole, the thickness, the first parameter of the target borehole, and the mapping relationship between the preset structure type and the preset structure value when there is a fracture in the target borehole, and obtain the fracture structure identification result of the target borehole, wherein the thickness is the thickness of the structure zone of the fracture in the vertical direction of the target borehole.

[0152] In this embodiment, by acquiring an intra-hole ultrasonic image of a target borehole, including an amplitude image and a time-of-travel image, a preliminary analysis of the fracture structure of the target borehole can be performed based on the intra-hole ultrasonic image of the target borehole and the mapping relationship between a preset structural type and a preset structural value, to determine whether a fracture exists in the target borehole. The preset structural value is used to characterize the structural features, structural orientation, and location information corresponding to the preset structural type. If a fracture exists in the target borehole, the fracture structure type of the target borehole is analyzed based on the intra-hole ultrasonic image features, thickness, and a first parameter of the target borehole, as well as the mapping relationship between the preset structural type and the preset structural value, to obtain the fracture structure identification result of the target borehole. The thickness is the thickness of the structural band of the fracture in the vertical direction of the target borehole. Therefore, the fracture structure of the target borehole can be identified by combining the intra-hole ultrasonic image features, thickness, and the first parameter of the target borehole. Furthermore, the mapping relationship between the preset structural type and the preset structural value achieves a unified standard for fracture structure classification, improving the accuracy of fracture structure identification.

[0153] In some embodiments of this disclosure, the first parameter of the target borehole includes the depth value of the target borehole and the maximum and minimum values ​​of the well diameter corresponding to the depth value of the target borehole.

[0154] In some embodiments of this disclosure, the result acquisition module 530 may include a calculation unit 5301, a first comparison unit 5302, a second comparison unit 5303, a third comparison unit 5304, and a result acquisition unit 5305.

[0155] The calculation unit 5301 can be used to calculate the borehole diameter variation rate based on the first parameter of the target borehole.

[0156] The first comparison unit 5302 can be used to compare the intraorific ultrasonic image features with the image features in the mapping relationship between the preset structure type and the preset structure value to obtain the first comparison result.

[0157] The second comparison unit 5303 can be used to compare the thickness with the thickness in the mapping relationship between the preset construction type and the preset construction value to obtain a second comparison result.

[0158] The third comparison unit 5304 can be used to compare the borehole diameter change rate with the borehole diameter change rate in the mapping relationship between the preset structure type and the preset structure value to obtain the third comparison result.

[0159] The result acquisition unit 5305 can be used to obtain the fracture structure identification result of the target borehole based on the first comparison result, the second comparison result and the third comparison result.

[0160] In some embodiments of this disclosure, the fracture structure identification device 500 may further include a result verification module 540.

[0161] The result verification module 540 can be used to verify the fracture structure identification result based on the characteristic thickness of the ultrasonic image inside the hole, the first parameter of the target borehole, and the second parameter of the target borehole after obtaining the fracture structure identification result.

[0162] In some embodiments of this disclosure, the second parameters of the target borehole include the acoustic velocity, resistivity, natural potential, and natural gamma of the target borehole.

[0163] In some embodiments of this disclosure, the result verification module 540 may include a change curve determination unit 5401 and a result verification unit 5402.

[0164] The variation curve determination unit 5401 can be used to determine the variation curve of the second parameter and the depth of the target borehole based on the second parameter of the target borehole.

[0165] The result verification unit 5402 can be used to verify the fracture structure identification result of the target borehole based on the changing trend of the second parameter and the depth change curve of the target borehole, combined with the features of the ultrasonic image inside the borehole, the thickness and the first parameter of the target borehole.

[0166] In some embodiments of this disclosure, the fracture structure identification device 500 may further include a mapping relationship acquisition module 550.

[0167] The mapping relationship acquisition module 550 can be used to obtain the mapping relationship between preset construction types and preset construction values.

[0168] In some embodiments of this disclosure, the mapping relationship acquisition module 550 may include an interface display unit 5501, a construction value acquisition unit 5502, and a mapping relationship construction unit 5503.

[0169] The interface display unit 5501 can be used to display the structural image interface of the sample borehole corresponding to the borehole data of the sample borehole. The borehole data includes the intra-hole ultrasonic imaging data of the sample borehole, the first parameter of the sample borehole, and the second parameter of the sample borehole.

[0170] The construction value acquisition unit 5502 can be used to acquire the construction value corresponding to the construction type in response to an input operation for the construction type of the sample borehole.

[0171] The mapping relationship construction unit 5503 can be used to construct a mapping relationship between a preset construction type and a preset construction value based on the correspondence between the construction type and the construction value.

[0172] In some embodiments of this disclosure, the constructed values ​​include ultrasonic image features of the sample borehole, its thickness, and the rate of change of the sample borehole diameter.

[0173] In some embodiments of this disclosure, the construction value acquisition unit 5502 may include an image region determination subunit and a construction value determination subunit.

[0174] The image region determination subunit can be used to determine the construction image region of the sample borehole corresponding to the construction type of the sample borehole, based on the construction type of the sample borehole.

[0175] The construction value determines the construction value of the sub-unit that can be used to obtain the construction image region of the sample borehole, and determines the construction value corresponding to the construction type.

[0176] Figure 5 The fracture structure identification device shown in the embodiment can be used to execute the technical solution of the above method embodiment. Its implementation principle and technical effect are similar, and will not be described again here.

[0177] Figure 6 This is a schematic diagram of the structure of an electronic device provided in an embodiment of this disclosure. The electronic device can be a terminal as described in the above embodiments. The electronic device provided in this disclosure can execute the processing flow provided in the embodiments of the fracture structure identification method, such as... Figure 6As shown, the electronic device 600 includes a memory 610, a processor 620, a computer program, and a communication interface 630; wherein the computer program is stored in the memory 610 and is configured to be executed by the processor 620 as described above in the fracture structure identification method.

[0178] In addition, this disclosure also provides a computer-readable storage medium having a computer program stored thereon, the computer program being executed by a processor to implement the fracture structure identification method described in the above embodiments.

[0179] It should be noted that, in this document, relational terms such as "first" and "second" are used merely 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.

[0180] The above description is merely a specific embodiment of this disclosure, enabling those skilled in the art to understand or implement it. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of this disclosure. Therefore, this disclosure is not to be limited to the embodiments described herein, but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.

Claims

1. A method for identifying fracture structures, characterized in that, The method includes: Acquire intra-hole ultrasonic images of the target borehole, the intra-hole ultrasonic images including acoustic amplitude images and time-of-travel images; Based on the in-hole ultrasonic image of the target borehole and the mapping relationship between the preset structure type and the preset structure value, a preliminary analysis of the fracture structure of the target borehole is performed to determine whether the target borehole has fractures. The preset structure value is used to characterize the structural features, structural attitude and location information corresponding to the preset structure type. When a fracture exists in the target borehole, the fracture structure type of the target borehole is analyzed based on the features of the ultrasonic image inside the borehole, the thickness, the first parameter of the target borehole, and the mapping relationship between the preset structure type and the preset structure value, to obtain the fracture structure identification result of the target borehole. The thickness is the structural band thickness of the fracture in the vertical direction of the target borehole, and the first parameter includes a depth value and the maximum and minimum well diameter values ​​corresponding to the depth value.

2. The method according to claim 1, characterized in that, Based on the ultrasonic image features inside the borehole, the thickness, and the first parameter of the target borehole, as well as the mapping relationship between the preset structure type and the preset structure value, the fracture structure type of the target borehole is analyzed to obtain the fracture identification result of the target borehole, including: The borehole diameter variation rate is calculated based on the first parameter of the target borehole; The intraorific ultrasonic image features are compared with the image features in the mapping relationship between the preset structure type and the preset structure value to obtain a first comparison result; The thickness is compared with the thickness in the mapping relationship between the preset construction type and the preset construction value to obtain a second comparison result; The diameter change rate of the target borehole is compared with the diameter change rate in the mapping relationship between the preset structure type and the preset structure value to obtain a third comparison result; Based on the first comparison result, the second comparison result, and the third comparison result, the fracture structure identification result of the target borehole is obtained.

3. The method according to claim 1, characterized in that, After obtaining the fracture structure identification result of the target borehole, the method further includes: Based on the ultrasonic image features inside the borehole, the thickness, the first parameter of the target borehole, and the second parameter of the target borehole, the fracture structure identification result is verified. The second parameter includes acoustic velocity, resistivity, spontaneous potential, and spontaneous gamma.

4. The method according to claim 3, characterized in that, Based on the intra-hole ultrasonic image features, the thickness, the first parameter of the target borehole, and the second parameter of the target borehole, the fracture structure identification result of the target borehole is verified, including: Based on the second parameter of the target borehole, determine the curve of the change between the second parameter and the depth of the target borehole; Based on the changing trend of the second parameter and the depth variation curve of the target borehole, combined with the ultrasonic image features inside the borehole, the thickness, and the first parameter of the target borehole, the fracture structure identification result of the target borehole is verified.

5. The method according to claim 1, characterized in that, Before performing a preliminary analysis of the fracture structure of the target borehole based on the in-hole ultrasonic image and the mapping relationship between preset structure types and preset structure values, the method further includes: Obtain the mapping relationship between the preset construction type and the preset construction value.

6. The method according to claim 5, characterized in that, The step of obtaining the mapping relationship between the preset construction type and the preset construction value includes: Based on the borehole data of the sample borehole, a structural image interface of the sample borehole corresponding to the borehole data of the sample borehole is displayed. The borehole data includes the intra-hole ultrasonic imaging data of the sample borehole, the first parameter of the sample borehole, and the second parameter of the sample borehole. The second parameter includes acoustic velocity, resistivity, spontaneous potential, and spontaneous gamma. In response to an input operation for the construction type of the sample borehole, obtain the construction value corresponding to the construction type; Based on the correspondence between the construction type and the construction value, a mapping relationship between the preset construction type and the preset construction value is constructed.

7. The method according to claim 6, characterized in that, The constructed values ​​include the ultrasonic image feature values ​​of the sample borehole, the thickness, and the borehole diameter variation rate.

8. The method according to claim 7, characterized in that, The step of obtaining the constructor value corresponding to the constructor type includes: Based on the construction type of the sample borehole, determine the construction image region of the sample borehole corresponding to the construction type of the sample borehole; Obtain the construction value of the construction image region of the sample borehole and determine it as the construction value corresponding to the construction type.

9. A fracture structure identification device, characterized in that, include: The image acquisition module is used to acquire in-hole ultrasonic images of the target borehole, the in-hole ultrasonic images including acoustic amplitude images and time-of-travel images; The fracture determination module is used to perform a preliminary analysis of the fracture structure of the target borehole based on the in-hole ultrasonic image of the target borehole and the mapping relationship between the preset structure type and the preset structure value, to determine whether the target borehole has fractures. The preset structure value is used to characterize the structural features, structural attitude and location information corresponding to the preset structure type. The result acquisition module is used to analyze the fracture structure type of the target borehole based on the ultrasonic image features inside the borehole, the thickness, the first parameter of the target borehole, and the mapping relationship between the preset structure type and the preset structure value when the target borehole has fractures, and to obtain the fracture structure identification result of the target borehole. The thickness is the structural band thickness of the fracture in the vertical direction of the target borehole, and the first parameter includes a depth value and the maximum and minimum well diameter values ​​corresponding to the depth value.

10. An electronic device, characterized in that, include: Memory; processor; as well as Computer programs; The computer program is stored in the memory and configured to be executed by the processor to implement the method as described in any one of claims 1-8.

11. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by a processor, it implements the method as described in any one of claims 1-8.