Micro-strain monitoring methods, systems, media, and terminals for surrounding rock of ultra-deep vertical shafts

Abstract

This application discloses a method, system, medium, and terminal for monitoring micro-strain in the surrounding rock of ultra-deep vertical shafts, relating to the field of shaft surrounding rock deformation monitoring. Its main purpose is to address the problem that existing methods cannot accurately monitor the micro-strain of the surrounding rock in ultra-deep vertical shafts. The method includes: setting multiple monitoring levels within the target shaft at preset shaft depth intervals, with each level serving as a target monitoring level; scanning the monitoring area of ​​the surrounding rock using a three-dimensional laser scanning device to construct a three-dimensional model of the surrounding rock and obtain a simulated deformation displacement curve of the excavated shaft surrounding rock; determining the sensor placement direction based on ground stress distribution data and the sensor placement depth based on the acoustic wave velocity distribution data of the surrounding rock; deploying micro-strain sensors to collect micro-strain data in real time and generating a micro-strain curve of the surrounding rock; if the two curves reflect consistent change patterns, the micro-strain monitoring result of the target monitoring level is obtained; and combining these results yields the micro-strain monitoring result of the surrounding rock of the target shaft.

Description

Technical Field

[0001] This application relates to the field of wellbore surrounding rock deformation monitoring technology, and in particular to a micro-strain monitoring method, system, medium, and terminal for ultra-deep vertical shaft wellbore surrounding rock. Background Technology

[0002] Due to the depletion of shallow resources and the increasing demand for energy, mining intensity has been continuously increasing. As the crucial link between the surface and deep underground spaces, the construction depth of shafts has also increased. It should be noted that with increasing construction depth, the geological conditions traversed by the shafts become more complex and variable, resulting in diverse and complex stress conditions. Furthermore, under high-stress excavation and unloading, high concentrated stress may occur in the surrounding rock of the shaft, causing significant changes in its deformation characteristics. The deformation of the surrounding rock changes from brittle to ductile, with prominent expansion properties. Moreover, deep rock masses exhibit strong time effects under high-stress environments, specifically manifesting as significant rheological properties. Therefore, with increasing shaft construction depth, the variable rock strata and high ground stress conditions inevitably lead to more complex and severe mechanical responses in the surrounding rock, resulting in deformation, rock bursts, and other forms of damage, thus posing a serious threat to mine safety. Therefore, deformation monitoring of the surrounding rock of the shaft is necessary.

[0003] In existing technologies, stress gauges and multi-point displacement gauges are typically used to monitor ground pressure in deep hard rock. However, due to the hardness of deep hard rock in metal mines, deformation is mostly minute, making it difficult to capture with displacement gauges. Furthermore, stress gauges can only monitor stress changes and cannot detect micro-strain, thus making it impossible to accurately monitor the micro-strain of the surrounding rock in metal mine shafts. Summary of the Invention

[0004] In view of this, this application provides a method, system, medium, and terminal for monitoring micro-strain of surrounding rock in ultra-deep vertical shafts. The main purpose is to address the problem that existing methods cannot accurately monitor the micro-strain of surrounding rock in ultra-deep vertical shafts.

[0005] According to one aspect of this application, a method for monitoring micro-strain in the surrounding rock of an ultra-deep vertical shaft is provided, comprising:

[0006] According to the preset wellbore depth interval, multiple monitoring levels are set in the target wellbore, and each of the monitoring levels is used as the target monitoring level.

[0007] The surrounding rock monitoring area of ​​the well shaft at the target monitoring level is scanned using a three-dimensional laser scanning device to obtain a point cloud dataset of the surrounding rock monitoring area. A three-dimensional model of the surrounding rock of the well shaft is constructed based on the point cloud dataset. The deformation and displacement curve of the surrounding rock of the well shaft during simulated excavation is obtained based on the three-dimensional model of the surrounding rock of the well shaft.

[0008] The arrangement direction of the micro-strain sensor is determined based on the ground stress distribution data of the target monitoring level, and the arrangement depth of the micro-strain sensor is determined based on the surrounding rock acoustic wave velocity distribution data of the target monitoring level. The micro-strain sensor is arranged according to the arrangement direction and the arrangement depth, and the micro-strain data of the wellbore surrounding rock monitoring area is collected in real time using the micro-strain sensor to generate the wellbore surrounding rock micro-strain curve.

[0009] If the variation law of the deformation displacement curve of the surrounding rock of the simulated excavation shaft is consistent with the variation law of the micro-strain curve of the surrounding rock of the shaft, then the micro-strain curve of the surrounding rock of the shaft is determined as the micro-strain monitoring result of the target monitoring level;

[0010] The micro-strain monitoring results of each target monitoring level are combined to obtain the micro-strain monitoring results of the surrounding rock of the target wellbore.

[0011] Preferably, the step of setting multiple monitoring levels within the target wellbore at preset wellbore depth intervals includes:

[0012] Obtain the preset wellbore depth boundary;

[0013] Within a range from the preset wellbore depth to the preset wellbore depth boundary, multiple monitoring levels are set in the target wellbore according to a first preset wellbore depth interval. The preset wellbore depth boundary is deeper than the preset wellbore depth. The preset wellbore depth interval includes the first preset wellbore depth interval.

[0014] Within the range from the preset wellbore depth boundary to the bottom of the target wellbore, multiple monitoring levels are set in the target wellbore according to the second preset wellbore depth interval. The bottom of the target wellbore is deeper than the preset wellbore depth boundary. The preset wellbore depth interval includes the second preset wellbore depth interval.

[0015] Preferably, before performing the scanning operation on the wellbore surrounding rock monitoring area of ​​the target monitoring level using a three-dimensional laser scanning device, the method further includes:

[0016] Obtain core logging data from the engineering exploration borehole corresponding to the target wellbore, and determine the unstable formation area at the location of the target wellbore;

[0017] Increase monitoring levels in the unstable geological regions.

[0018] Preferably, determining the arrangement direction of the micro-strain sensors based on the ground stress distribution data of the target monitoring level includes:

[0019] Obtain the geostress distribution data at the target monitoring level;

[0020] Based on the geostress distribution data, it is determined that the direction of the maximum principal stress is perpendicular to the direction of the minimum principal stress.

[0021] The direction of the maximum principal stress and the direction of the minimum principal stress are taken as the first arrangement direction group, and micro-strain sensors are arranged in the direction of the maximum principal stress and the direction of the minimum principal stress respectively to form the first micro-strain sensor group.

[0022] The direction that makes an angle of 180 degrees with the direction where the maximum principal stress is located is defined as the first opposite direction, and the direction that makes an angle of 180 degrees with the direction where the minimum principal stress is located is defined as the second opposite direction;

[0023] The first and second opposite directions are used as the second arrangement direction group, and micro-strain sensors are arranged in the first and second opposite directions respectively to form a second micro-strain sensor group.

[0024] Preferably, determining the placement depth of the micro-strain sensor based on the acoustic wave velocity distribution data of the surrounding rock at the target monitoring level includes:

[0025] The acoustic wave velocity distribution data of the surrounding rock was obtained by using an acoustic wave instrument to detect acoustic waves in the monitoring area of ​​the wellbore.

[0026] The range of the plastic zone of the surrounding rock of the wellbore is determined based on the acoustic wave velocity distribution data of the surrounding rock.

[0027] The placement depth of the micro-strain sensors is determined based on the range of the plastic zone of the surrounding rock in the wellbore.

[0028] Preferably, the step of arranging the micro-strain sensor according to the arrangement direction and the arrangement depth includes:

[0029] Drilling is performed in the arrangement direction, and the drilling depth is the arrangement depth.

[0030] An anchoring agent is used to fix the first micro-strain sensor at the bottom of the borehole, so that the first micro-strain sensor is coupled to the borehole wall;

[0031] The space between the bottom position and the middle position of the borehole is filled with anchoring agent;

[0032] The second micro-strain sensor is fixed at the middle position, so that the second micro-strain sensor is coupled to the borehole wall;

[0033] An anchoring agent is used to fill the space between the intermediate position and the borehole opening, so that the first micro-strain sensor, the second micro-strain sensor and the surrounding rock of the wellbore form an integral whole.

[0034] Preferably, before constructing a three-dimensional model of the wellbore surrounding rock in the wellbore surrounding rock monitoring area based on the point cloud dataset, the method further includes:

[0035] The point cloud dataset is simplified and filtered to obtain an optimized point cloud dataset, which is then used to construct a three-dimensional model of the wellbore surrounding rock in the wellbore surrounding rock monitoring area.

[0036] According to another aspect of this application, a micro-strain monitoring system for the surrounding rock of an ultra-deep vertical shaft is provided, comprising:

[0037] The monitoring level setting module is used to set multiple monitoring levels in the target wellbore according to a preset wellbore depth interval, and to use each of the monitoring levels as the target monitoring level.

[0038] The simulated excavation shaft surrounding rock deformation and displacement curve generation module is used to scan the shaft surrounding rock monitoring area at the target monitoring level using a three-dimensional laser scanning device, obtain a point cloud dataset of the shaft surrounding rock monitoring area, construct a three-dimensional model of the shaft surrounding rock of the monitoring area based on the point cloud dataset, and obtain the simulated excavation shaft surrounding rock deformation and displacement curve of the shaft surrounding rock of the monitoring area based on the three-dimensional model of the shaft surrounding rock.

[0039] The wellbore surrounding rock micro-strain curve generation module is used to determine the arrangement direction of the micro-strain sensor based on the geostress distribution data of the target monitoring level, and to determine the arrangement depth of the micro-strain sensor based on the acoustic wave velocity distribution data of the surrounding rock of the target monitoring level. The micro-strain sensor is arranged according to the arrangement direction and the arrangement depth, and the micro-strain data of the wellbore surrounding rock monitoring area is collected in real time using the micro-strain sensor to generate the wellbore surrounding rock micro-strain curve.

[0040] The variation law comparison module is used to determine the micro-strain curve of the surrounding rock of the well shaft as the micro-strain monitoring result of the target monitoring level if the variation law of the deformation displacement curve of the simulated excavation well shaft is consistent with the variation law of the micro-strain curve of the surrounding rock of the well shaft.

[0041] The wellbore surrounding rock micro-strain monitoring result generation module is used to combine the micro-strain monitoring results of various target monitoring levels to obtain the wellbore surrounding rock micro-strain monitoring results of the target wellbore.

[0042] Preferably, the monitoring level setting module is used for:

[0043] Obtain the preset wellbore depth boundary;

[0044] Within a range from the preset wellbore depth to the preset wellbore depth boundary, multiple monitoring levels are set in the target wellbore according to a first preset wellbore depth interval. The preset wellbore depth boundary is deeper than the preset wellbore depth. The preset wellbore depth interval includes the first preset wellbore depth interval.

[0045] Within the range from the preset wellbore depth boundary to the bottom of the target wellbore, multiple monitoring levels are set in the target wellbore according to the second preset wellbore depth interval. The bottom of the target wellbore is deeper than the preset wellbore depth boundary. The preset wellbore depth interval includes the second preset wellbore depth interval.

[0046] Preferably, the monitoring level setting module is further used for:

[0047] Obtain core logging data from the engineering exploration borehole corresponding to the target wellbore, and determine the unstable formation area at the location of the target wellbore;

[0048] Increase monitoring levels in the unstable geological regions.

[0049] Preferably, the wellbore surrounding rock micro-strain curve generation module includes an arrangement direction determination unit, used for:

[0050] Obtain the geostress distribution data at the target monitoring level;

[0051] Based on the geostress distribution data, it is determined that the direction of the maximum principal stress is perpendicular to the direction of the minimum principal stress.

[0052] The direction of the maximum principal stress and the direction of the minimum principal stress are taken as the first arrangement direction group, and micro-strain sensors are arranged in the direction of the maximum principal stress and the direction of the minimum principal stress respectively to form the first micro-strain sensor group.

[0053] The direction that makes an angle of 180 degrees with the direction where the maximum principal stress is located is defined as the first opposite direction, and the direction that makes an angle of 180 degrees with the direction where the minimum principal stress is located is defined as the second opposite direction;

[0054] The first and second opposite directions are used as the second arrangement direction group, and micro-strain sensors are arranged in the first and second opposite directions respectively to form a second micro-strain sensor group.

[0055] Preferably, the wellbore surrounding rock micro-strain curve generation module includes a depth determination unit, used for:

[0056] The acoustic wave velocity distribution data of the surrounding rock was obtained by using an acoustic wave instrument to detect acoustic waves in the monitoring area of ​​the wellbore.

[0057] The range of the plastic zone of the surrounding rock of the wellbore is determined based on the acoustic wave velocity distribution data of the surrounding rock.

[0058] The placement depth of the micro-strain sensors is determined based on the range of the plastic zone of the surrounding rock in the wellbore.

[0059] Preferably, the wellbore surrounding rock micro-strain curve generation module includes a micro-strain sensor arrangement unit, used for:

[0060] Drilling is performed in the arrangement direction, and the drilling depth is the arrangement depth.

[0061] An anchoring agent is used to fix the first micro-strain sensor at the bottom of the borehole, so that the first micro-strain sensor is coupled to the borehole wall;

[0062] The space between the bottom position and the middle position of the borehole is filled with anchoring agent;

[0063] The second micro-strain sensor is fixed at the middle position, so that the second micro-strain sensor is coupled to the borehole wall;

[0064] An anchoring agent is used to fill the space between the intermediate position and the borehole opening, so that the first micro-strain sensor, the second micro-strain sensor and the surrounding rock of the wellbore form an integral whole.

[0065] Preferably, the simulated excavation shaft surrounding rock deformation and displacement curve generation module is further used for:

[0066] The point cloud dataset is simplified and filtered to obtain an optimized point cloud dataset, which is then used to construct a three-dimensional model of the wellbore surrounding rock in the wellbore surrounding rock monitoring area.

[0067] According to another aspect of this application, a storage medium is provided, wherein at least one executable instruction is stored therein, the executable instruction causing a processor to perform an operation corresponding to the micro-strain monitoring method for the surrounding rock of an ultra-deep vertical shaft described above.

[0068] According to another aspect of this application, a terminal is provided, comprising: a processor, a memory, a communication interface, and a communication bus, wherein the processor, the memory, and the communication interface communicate with each other through the communication bus;

[0069] The memory is used to store at least one executable instruction, which causes the processor to perform the operation corresponding to the micro-strain monitoring method for the surrounding rock of the ultra-deep vertical shaft described above.

[0070] By employing the above technical solutions, the technical solutions provided in the embodiments of this application have at least the following advantages:

[0071] This application provides a method, system, medium, and terminal for micro-strain monitoring of the surrounding rock of an ultra-deep vertical shaft. First, multiple monitoring levels are set within the target shaft at preset shaft depth intervals, and each monitoring level is designated as a target monitoring level. Second, a three-dimensional laser scanning device is used to scan the monitoring area of ​​the surrounding rock at each target monitoring level, obtaining a point cloud dataset of the monitoring area. A three-dimensional model of the surrounding rock is constructed based on this point cloud dataset, and the deformation and displacement curves of the simulated excavation surrounding rock are obtained based on the three-dimensional model. Finally, micro-strain sensing is determined based on the geostress distribution data at each target monitoring level. The arrangement direction of the instruments and the arrangement depth of the micro-strain sensors are determined based on the acoustic wave velocity distribution data of the surrounding rock at the target monitoring level. The micro-strain sensors are arranged according to the arrangement direction and the arrangement depth, and the micro-strain data of the surrounding rock monitoring area of ​​the wellbore is collected in real time using the micro-strain sensors to generate a micro-strain curve of the surrounding rock of the wellbore. Further, if the variation law of the deformation displacement curve of the simulated excavation of the wellbore is consistent with the variation law of the micro-strain curve of the surrounding rock of the wellbore, then the micro-strain curve of the surrounding rock of the wellbore is determined as the micro-strain monitoring result of the target monitoring level. Finally, the micro-strain monitoring results of each target monitoring level are combined to obtain the micro-strain monitoring result of the surrounding rock of the target wellbore. Compared with existing technologies, this application embodiment sets up multiple monitoring levels in the target wellbore and determines the arrangement direction and depth of micro-strain sensors at each monitoring level based on the geostress distribution data and surrounding rock acoustic velocity distribution data. This allows for real-time acquisition of micro-strain data in the wellbore surrounding rock monitoring area at each monitoring level, thereby obtaining an accurate wellbore surrounding rock micro-strain curve and achieving accurate monitoring of wellbore surrounding rock micro-strain. Furthermore, a three-dimensional laser scanning device is used to scan the wellbore surrounding rock monitoring area at each monitoring level to construct a three-dimensional model of the wellbore surrounding rock. Simulated excavation is then performed to obtain the simulated excavation wellbore surrounding rock deformation and displacement curve. Finally, based on the comparison between the wellbore surrounding rock micro-strain curve and the simulated excavation wellbore surrounding rock deformation and displacement curve, the micro-strain monitoring results for each monitoring level are obtained. This avoids the problem of inaccurate monitoring results due to single monitoring data and further improves the accuracy of wellbore surrounding rock micro-strain monitoring.

[0072] The above description is only an overview of the technical solution of this application. In order to better understand the technical means of this application and to implement it in accordance with the contents of the specification, and to make the above and other objects, features and advantages of this application more obvious and understandable, the following are specific embodiments of this application. Attached Figure Description

[0073] Various other advantages and benefits will become apparent to those skilled in the art upon reading the following detailed description of preferred embodiments. The accompanying drawings are for illustrative purposes only and are not intended to limit the scope of this application. Furthermore, the same reference numerals denote the same parts throughout the drawings. In the drawings:

[0074] Figure 1 A flowchart illustrating a micro-strain monitoring method for the surrounding rock of an ultra-deep vertical shaft, provided in an embodiment of this application, is shown.

[0075] Figure 2 A schematic diagram of a three-dimensional model of the surrounding rock of a wellbore provided in an embodiment of this application is shown;

[0076] Figure 3 This application provides a simulated excavation shaft surrounding rock deformation and displacement curve diagram according to an embodiment of the present application.

[0077] Figure 4 The micro-strain curve of the surrounding rock of the wellbore provided in the embodiment of this application is shown;

[0078] Figure 5 This paper presents a flowchart of another micro-strain monitoring method for the surrounding rock of an ultra-deep vertical shaft provided in an embodiment of this application.

[0079] Figure 6 This application provides a diagram showing the distribution data of acoustic wave velocity in the surrounding rock according to an embodiment of the present application.

[0080] Figure 7 This paper shows a block diagram of a micro-strain monitoring system for the surrounding rock of an ultra-deep vertical shaft, as provided in an embodiment of this application.

[0081] Figure 8 A schematic diagram of the structure of a terminal provided in an embodiment of this application is shown. Detailed Implementation

[0082] Exemplary embodiments of the present disclosure will now be described in more detail with reference to the accompanying drawings. While exemplary embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may be implemented in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the disclosure to those skilled in the art.

[0083] At the same time, it should be understood that, for ease of description, the dimensions of the various parts shown in the accompanying drawings are not drawn according to actual scale.

[0084] The following description of at least one exemplary embodiment is merely illustrative and is in no way intended to limit the scope of this application and its application or use.

[0085] Techniques, methods, and equipment known to those skilled in the art may not be discussed in detail, but where appropriate, such techniques, methods, and equipment should be considered part of the specification.

[0086] It should be noted that similar labels and letters in the following figures indicate similar items; therefore, once an item is defined in one figure, it does not need to be discussed further in subsequent figures.

[0087] The embodiments of this application can be applied to computer systems / servers that can operate with a wide range of other general-purpose or special-purpose computing system environments or configurations. Examples of well-known computing systems, environments, and / or configurations suitable for use with computer systems / servers include, but are not limited to: personal computer systems, server computer systems, thin clients, thick clients, handheld or laptop devices, microprocessor-based systems, set-top boxes, programmable consumer electronics, network PCs, minicomputer systems, mainframe computer systems, and distributed cloud computing environments that include any of the above systems, etc.

[0088] Computer systems / servers can be described in the general context of computer system executable instructions (such as program modules) executed by the computer system. Typically, program modules can include routines, programs, object programs, components, logic, data structures, etc., which perform specific tasks or implement specific abstract data types. Computer systems / servers can be implemented in distributed cloud computing environments, where tasks are performed by remote processing devices linked through a communication network. In distributed cloud computing environments, program modules can reside on local or remote computing system storage media, including storage devices.

[0089] This application provides a method for monitoring the micro-strain of the surrounding rock in ultra-deep vertical shafts, such as... Figure 1 As shown, the method includes:

[0090] 101. According to the preset wellbore depth interval, set multiple monitoring levels in the target wellbore, and use each monitoring level as the target monitoring level.

[0091] The preset shaft depth interval is used to characterize the depth interval between two monitoring levels, such as 100m, 50m, etc., and can be set according to the actual formation stability. In this embodiment, the current execution terminal can be the shaft surrounding rock micro-strain monitoring module during the construction of the ore body shaft.

[0092] It should be noted that when setting the monitoring level, it can be set according to a uniform preset wellbore depth interval, or different preset wellbore depth intervals can be used. For example, below 1000m, a monitoring level is set every 50m, and above 1000m, a monitoring level is set every 100m. The specific setting can be determined according to the actual formation stability, combined with the computing power and cost of the data processing system. No specific limitation is made in this application embodiment.

[0093] 102. Use a three-dimensional laser scanning device to scan the monitoring area of ​​the well shaft surrounding rock at the target monitoring level to obtain a point cloud dataset of the monitoring area. Based on the point cloud dataset, construct a three-dimensional model of the well shaft surrounding rock in the monitoring area. Based on the three-dimensional model of the well shaft surrounding rock, obtain the simulated excavation deformation and displacement curve of the well shaft surrounding rock in the monitoring area.

[0094] The target monitoring level of the wellbore surrounding rock monitoring area characterizes the area that the micro-strain sensors can monitor, typically around 3 to 4 meters. The simulated excavation wellbore surrounding rock deformation and displacement curve is obtained by simulating excavation using software, and is used to record virtual deformation and displacement data. In this embodiment, a three-dimensional laser scanning device is first used to scan the area that the micro-strain sensors can monitor from the target monitoring level, obtaining a point cloud dataset of the wellbore surrounding rock monitoring area, which can be transferred to a storage device after being parsed by the device. Furthermore, Rhino modeling software can be used to construct a three-dimensional model of the wellbore surrounding rock monitoring area based on the scanned point cloud dataset, such as... Figure 2 As shown, preferably, it can be locally adjusted and corrected to ensure that the three-dimensional model of the wellbore surrounding rock is consistent with the actual geometry of the wellbore surrounding rock monitoring area; furthermore, FLAC 3D numerical simulation software can be used to simulate the excavation of the three-dimensional model of the wellbore surrounding rock, thereby obtaining the simulated excavation deformation and displacement curve of the wellbore surrounding rock in the wellbore monitoring area, such as... Figure 3 As shown.

[0095] 103. Determine the arrangement direction of the micro-strain sensors based on the ground stress distribution data of the target monitoring level, and determine the arrangement depth of the micro-strain sensors based on the surrounding rock acoustic wave velocity distribution data of the target monitoring level. Arrange the micro-strain sensors according to the arrangement direction and depth, and use the micro-strain sensors to collect micro-strain data of the wellbore surrounding rock monitoring area in real time to generate the wellbore surrounding rock micro-strain curve.

[0096] Among them, the ground stress distribution data is used to record the stress distribution of the target wellbore at the target monitoring level, for example, the maximum stress occurs in the NW58° direction; the surrounding rock acoustic wave velocity distribution data is used to record the changes in the sound propagation speed within the wellbore surrounding rock monitoring area, for example, the sound wave propagation speed is slower from the probe port to 1.45m away from the probe port, and faster from 1.45m away from the probe port; the wellbore surrounding rock micro-strain curve is generated based on the real micro-strain data collected by the micro-strain sensor after actual excavation, and is used to record the real micro-strain data. In this embodiment, after determining the arrangement direction and depth, the arrangement position of the micro-strain sensor can be determined, and after the arrangement is completed, it is used to collect real-time micro-strain data of the wellbore surrounding rock monitoring area to generate the wellbore surrounding rock micro-strain curve, such as... Figure 4 As shown.

[0097] 104. If the variation law of the deformation displacement curve of the surrounding rock of the simulated excavation shaft is consistent with the variation law of the micro-strain curve of the surrounding rock of the shaft, then the micro-strain curve of the surrounding rock of the shaft is determined as the micro-strain monitoring result of the target monitoring level.

[0098] In this embodiment, the deformation and displacement curve of the surrounding rock of the simulated excavation shaft obtained in step 102 of the embodiment is compared with the micro-strain curve of the surrounding rock of the shaft obtained in step 103 of the embodiment. Since the deformation and displacement curve of the surrounding rock of the simulated excavation shaft is obtained by simulating excavation using software, and the micro-strain curve of the surrounding rock of the shaft is generated based on the real micro-strain data collected by the micro-strain sensor after actual excavation, the two curves are used to verify each other, avoiding the problem of inaccurate monitoring results due to single monitoring data, thereby improving the accuracy of micro-strain monitoring of the surrounding rock of the shaft.

[0099] 105. Combine the micro-strain monitoring results of each target monitoring level to obtain the micro-strain monitoring results of the surrounding rock of the target wellbore.

[0100] It should be noted that the contents of steps 102-104 in the aforementioned embodiments are all performed on a single monitoring level, and the micro-strain monitoring results corresponding to that single monitoring level are obtained. Therefore, in the embodiments of this application, the micro-strain monitoring results of all monitoring levels are combined to obtain the micro-strain monitoring results of the surrounding rock of the target wellbore.

[0101] Compared with existing technologies, this application embodiment sets up multiple monitoring levels in the target wellbore and determines the arrangement direction and depth of micro-strain sensors at each monitoring level based on the geostress distribution data and surrounding rock acoustic velocity distribution data. This allows for real-time acquisition of micro-strain data in the wellbore surrounding rock monitoring area at each monitoring level, thereby obtaining an accurate wellbore surrounding rock micro-strain curve and achieving accurate monitoring of wellbore surrounding rock micro-strain. Furthermore, a three-dimensional laser scanning device is used to scan the wellbore surrounding rock monitoring area at each monitoring level to construct a three-dimensional model of the wellbore surrounding rock. Simulated excavation is then performed to obtain the simulated excavation wellbore surrounding rock deformation and displacement curve. Finally, based on the comparison between the wellbore surrounding rock micro-strain curve and the simulated excavation wellbore surrounding rock deformation and displacement curve, the micro-strain monitoring results for each monitoring level are obtained. This avoids the problem of inaccurate monitoring results due to single monitoring data and further improves the accuracy of wellbore surrounding rock micro-strain monitoring.

[0102] In one embodiment of this application, for further definition and explanation, such as Figure 2 As shown, step 101

[0103] This application provides another method for monitoring the micro-strain of the surrounding rock in ultra-deep vertical shafts, such as... Figure 5 As shown, the method includes:

[0104] 201. Using the preset wellbore depth as the dividing line, set the monitoring level according to different preset wellbore depth intervals.

[0105] Accordingly, step 201 of the embodiment specifically includes: obtaining a preset wellbore depth division boundary; setting multiple monitoring levels in the target wellbore according to a first preset wellbore depth interval within the range from the preset wellbore depth to the preset wellbore depth division boundary; and setting multiple monitoring levels in the target wellbore according to a second preset wellbore depth interval within the range from the preset wellbore depth division boundary to the bottom of the target wellbore.

[0106] It should be noted that the preset wellbore depth division boundary is deeper than the preset wellbore depth, wherein the preset wellbore depth interval includes the first preset wellbore depth interval; the bottom of the target wellbore is deeper than the preset wellbore depth division boundary, wherein the preset wellbore depth interval includes the second preset wellbore depth interval.

[0107] For example, based on the actual formation stability, a preset wellbore depth boundary is set to 1000m, a preset wellbore depth is set to 500m, a first preset wellbore depth interval is set to 100m, and a second preset wellbore depth interval is set to 50m. Specifically, within the range from 500m underground to 1000m underground, a monitoring level is set at a depth distance of 100m, and within the range from 1000m underground to the bottom of the target wellbore, a monitoring level is set at a depth distance of 50m, thereby obtaining multiple monitoring levels.

[0108] Understandably, since the magnitude of shallow ground stress is usually no more than 20 MPa, which is considered normal, while the magnitude of deep ground stress is usually larger, different wellbore depth intervals are set according to the magnitude of ground stress. This ensures accurate monitoring of the wellbore and reduces the massive amount of calculations caused by setting the monitoring levels too closely.

[0109] 202. Increase monitoring levels based on actual geological conditions.

[0110] Accordingly, step 202 of the embodiment specifically includes: obtaining core logging data from the engineering exploration borehole corresponding to the target wellbore, determining the unstable stratum region where the target wellbore is located, and adding monitoring levels in the unstable stratum region.

[0111] The core logging data from engineering exploration boreholes is used to record the lithology, rock mass quality, and joint and fracture development of strata at different depths. In this embodiment, the core logging data from engineering exploration boreholes can determine the lithology, rock mass quality, and joint and fracture development of strata at different depths. For strata with intact rock masses, undeveloped joints and fractures, and simple structures, their stability can be determined to be relatively good. For strata with fractured rock masses, developed joints and fractures, and complex structures, their stability can be determined to be relatively poor. In this case, it can be identified as an unstable stratum area, and a monitoring level can be added to this unstable stratum area to monitor the area, thereby improving the comprehensiveness of monitoring and the safety of ultra-deep shaft excavation.

[0112] 203. Use a three-dimensional laser scanning device to scan the monitoring area of ​​the well shaft surrounding rock at the target monitoring level to obtain a point cloud dataset of the monitoring area. Based on the point cloud dataset, construct a three-dimensional model of the well shaft surrounding rock in the monitoring area. Based on the three-dimensional model of the well shaft surrounding rock, obtain the simulated excavation deformation and displacement curve of the well shaft surrounding rock in the monitoring area.

[0113] The content of this application embodiment has been described in detail in step 102 of the foregoing embodiment, and will not be repeated here.

[0114] Preferably, before constructing the three-dimensional model of the wellbore surrounding rock in the wellbore surrounding rock monitoring area based on the point cloud dataset in step 203 of the embodiment, the method further includes: performing a simplification and filtering process on the point cloud dataset to obtain an optimized point cloud dataset, and constructing the three-dimensional model of the wellbore surrounding rock in the wellbore surrounding rock monitoring area based on the optimized point cloud dataset.

[0115] It should be noted that, since the point cloud data in the original point cloud dataset is presented in a relatively scattered manner and has a large amount of data, in order to solve this problem, in this embodiment of the application, a voxel filter can be used to divide the point cloud data into a regular voxel grid to perform a simplified filtering process on the point cloud dataset, thereby obtaining an optimized point cloud dataset, and constructing a three-dimensional model of the wellbore surrounding rock in the wellbore surrounding rock monitoring area based on the optimized point cloud dataset.

[0116] 204. The directions of the maximum principal stress and the minimum principal stress on the target monitoring level are designated as the first arrangement direction group; the directions that form an angle of 180 degrees with the direction of the maximum principal stress and the direction that forms an angle of 180 degrees with the direction of the minimum principal stress are designated as the second arrangement direction group.

[0117] Accordingly, step 204 of the embodiment specifically includes: acquiring geostress distribution data at the target monitoring level; determining the direction of the maximum principal stress and the direction of the minimum principal stress based on the geostress distribution data; using the direction of the maximum principal stress and the direction of the minimum principal stress as a first arrangement direction group, and arranging micro-strain sensors in the direction of the maximum principal stress and the direction of the minimum principal stress respectively to form a first micro-strain sensor group; determining the direction with an angle of 180 degrees to the direction of the maximum principal stress as a first reverse direction, and determining the direction with an angle of 180 degrees to the direction of the minimum principal stress as a second reverse direction; using the first reverse direction and the second reverse direction as a second arrangement direction group, and arranging micro-strain sensors in the first reverse direction and the second reverse direction respectively to form a second micro-strain sensor group.

[0118] It should be noted that the direction of the maximum principal stress is perpendicular to the direction of the minimum principal stress.

[0119] In this embodiment, the directions of the maximum and minimum principal stresses are first determined based on the geostress distribution data. These two directions are designated as the first arrangement direction group, and micro-strain sensors are arranged in these two directions to form a first micro-strain sensor group. Furthermore, the opposite directions of the maximum and minimum principal stresses are designated as the second arrangement direction group, and micro-strain sensors are arranged in these two directions to form a second micro-strain sensor group. Since the micro-strain changes most significantly in the directions of the maximum and minimum principal stresses, arranging the micro-strain sensors in these directions ensures the most accurate monitoring results.

[0120] 205. Determine the placement depth of the micro-strain sensor based on the acoustic wave velocity distribution data of the surrounding rock at the target monitoring level.

[0121] Accordingly, step 205 of the embodiment specifically includes: using a sonic transducer to perform sonic wave detection on the monitoring area of ​​the wellbore surrounding rock to obtain sonic wave velocity distribution data of the surrounding rock; determining the range of the plastic zone of the wellbore surrounding rock based on the sonic wave velocity distribution data of the surrounding rock; and determining the placement depth of the micro-strain sensor based on the range of the plastic zone of the wellbore surrounding rock.

[0122] In this embodiment, holes are first drilled near the first and second arrangement direction groups to serve as acoustic detection holes. These holes must penetrate to the original rock strata of the wellbore. Then, an acoustic wave meter is used to test the acoustic wave velocity from the hole opening at preset intervals (e.g., 10 cm) to obtain acoustic wave velocity distribution data of the surrounding rock. Further, the range of the plastic zone of the wellbore surrounding rock is determined based on the acoustic wave velocity distribution data. For example, using… Figure 6 Taking the surrounding rock acoustic wave velocity distribution data map as an example, at monitoring point 1, the acoustic wave velocity increases significantly starting from 1.45m from the borehole opening. This indicates that the rock mass integrity of the surrounding rock area becomes better from 1.45m onwards. Therefore, the plastic zone of the surrounding rock in this direction is the range from 0 to 1.45m from the borehole opening. Similarly, in the direction of monitoring point 2, the plastic zone of the surrounding rock is the range from 0 to 1.24m from the borehole opening; in the direction of monitoring point 3, the plastic zone of the surrounding rock is the range from 0 to 1.47m from the borehole opening; and in the direction of monitoring point 4, the plastic zone of the surrounding rock is the range from 0 to 1.13m from the borehole opening. Thus, the range of the plastic zone of the surrounding rock does not exceed 2m. Therefore, the placement depth of the micro-strain sensor can be determined to be 2m.

[0123] 206. Arrange the micro-strain sensors according to their orientation and depth.

[0124] Specifically, drilling is performed in the arrangement direction, with the drilling depth being the arrangement depth; the first micro-strain sensor is fixed at the bottom of the borehole using an anchoring agent, thus coupling the first micro-strain sensor with the borehole wall; the space between the bottom position and the middle position of the borehole is filled with the anchoring agent; the second micro-strain sensor is fixed at the middle position, thus coupling the second micro-strain sensor with the borehole wall; the space between the middle position and the borehole opening is filled with the anchoring agent, thus forming an integral whole between the first micro-strain sensor, the second micro-strain sensor, and the surrounding rock of the wellbore.

[0125] In addition, the data acquisition instrument and photoelectric converter that are matched with the micro-strain sensor can be placed in a waterproof box and fixed to the surface of the well wall. The micro-strain sensors within the same monitoring level are connected to the data acquisition instrument. Furthermore, the photoelectric converter is used to convert the acquired data into photoelectric signals, which are then transmitted to the ground via optical fiber. The photoelectric converter then converts the optical signals into electrical signals and transmits them to the computer client.

[0126] This application provides a method for micro-strain monitoring of the surrounding rock of an ultra-deep vertical shaft. First, multiple monitoring levels are set within the target shaft at preset shaft depth intervals, and each monitoring level is designated as a target monitoring level. Second, a three-dimensional laser scanning device is used to scan the monitoring area of ​​the surrounding rock at each target monitoring level, obtaining a point cloud dataset of the monitoring area. A three-dimensional model of the surrounding rock is then constructed based on this point cloud dataset. Based on this three-dimensional model, the deformation and displacement curves of the simulated excavation surrounding rock in the monitoring area are obtained. Finally, the arrangement of micro-strain sensors is determined based on the geostress distribution data at each target monitoring level. The direction and the arrangement depth of the micro-strain sensor are determined based on the acoustic wave velocity distribution data of the surrounding rock at the target monitoring level. The micro-strain sensor is arranged according to the arrangement direction and the arrangement depth, and the micro-strain data of the surrounding rock monitoring area of ​​the wellbore is collected in real time using the micro-strain sensor to generate a micro-strain curve of the surrounding rock of the wellbore. Further, if the variation law of the deformation displacement curve of the simulated excavation of the wellbore is consistent with the variation law of the micro-strain curve of the surrounding rock of the wellbore, then the micro-strain curve of the surrounding rock of the wellbore is determined as the micro-strain monitoring result of the target monitoring level. Finally, the micro-strain monitoring results of each target monitoring level are combined to obtain the micro-strain monitoring result of the surrounding rock of the target wellbore. Compared with existing technologies, this application embodiment sets up multiple monitoring levels in the target wellbore and determines the arrangement direction and depth of micro-strain sensors at each monitoring level based on the geostress distribution data and surrounding rock acoustic velocity distribution data. This allows for real-time acquisition of micro-strain data in the wellbore surrounding rock monitoring area at each monitoring level, thereby obtaining an accurate wellbore surrounding rock micro-strain curve and achieving accurate monitoring of wellbore surrounding rock micro-strain. Furthermore, a three-dimensional laser scanning device is used to scan the wellbore surrounding rock monitoring area at each monitoring level to construct a three-dimensional model of the wellbore surrounding rock. Simulated excavation is then performed to obtain the simulated excavation wellbore surrounding rock deformation and displacement curve. Finally, based on the comparison between the wellbore surrounding rock micro-strain curve and the simulated excavation wellbore surrounding rock deformation and displacement curve, the micro-strain monitoring results for each monitoring level are obtained. This avoids the problem of inaccurate monitoring results due to single monitoring data and further improves the accuracy of wellbore surrounding rock micro-strain monitoring.

[0127] Furthermore, as a response to the above Figure 1 The implementation of the method shown in this application provides a micro-strain monitoring system for the surrounding rock of an ultra-deep vertical shaft, such as... Figure 7 As shown, the system includes:

[0128] The monitoring level setting module 31, the simulated excavation shaft surrounding rock deformation displacement curve generation module 32, the shaft surrounding rock micro-strain curve generation module 33, the variation law comparison module 34, and the shaft surrounding rock micro-strain monitoring result generation module 35 are all included.

[0129] The monitoring level setting module 31 is used to set multiple monitoring levels in the target wellbore according to a preset wellbore depth interval, and to use each of the monitoring levels as the target monitoring level.

[0130] The simulated excavation shaft surrounding rock deformation and displacement curve generation module 32 is used to scan the shaft surrounding rock monitoring area at the target monitoring level using a three-dimensional laser scanning device, obtain a point cloud dataset of the shaft surrounding rock monitoring area, construct a three-dimensional model of the shaft surrounding rock of the shaft surrounding rock monitoring area based on the point cloud dataset, and obtain the simulated excavation shaft surrounding rock deformation and displacement curve of the shaft surrounding rock monitoring area based on the three-dimensional model of the shaft surrounding rock.

[0131] The wellbore surrounding rock micro-strain curve generation module 33 is used to determine the arrangement direction of the micro-strain sensor based on the geostress distribution data of the target monitoring level, and to determine the arrangement depth of the micro-strain sensor based on the acoustic wave velocity distribution data of the surrounding rock of the target monitoring level. The micro-strain sensor is arranged according to the arrangement direction and the arrangement depth, and the micro-strain data of the wellbore surrounding rock monitoring area is collected in real time using the micro-strain sensor to generate the wellbore surrounding rock micro-strain curve.

[0132] The variation law comparison module 34 is used to determine the micro-strain curve of the surrounding rock of the well shaft as the micro-strain monitoring result of the target monitoring level if the variation law of the deformation displacement curve of the surrounding rock of the simulated excavation shaft is consistent with the variation law of the micro-strain curve of the surrounding rock of the well shaft.

[0133] The wellbore surrounding rock micro-strain monitoring result generation module 35 is used to combine the micro-strain monitoring results of each target monitoring level to obtain the wellbore surrounding rock micro-strain monitoring results of the target wellbore.

[0134] In specific application scenarios, the monitoring level setting module is used for:

[0135] Obtain the preset wellbore depth boundary;

[0136] Within a range from the preset wellbore depth to the preset wellbore depth boundary, multiple monitoring levels are set in the target wellbore according to a first preset wellbore depth interval. The preset wellbore depth boundary is deeper than the preset wellbore depth. The preset wellbore depth interval includes the first preset wellbore depth interval.

[0137] Within the range from the preset wellbore depth boundary to the bottom of the target wellbore, multiple monitoring levels are set in the target wellbore according to the second preset wellbore depth interval. The bottom of the target wellbore is deeper than the preset wellbore depth boundary. The preset wellbore depth interval includes the second preset wellbore depth interval.

[0138] In specific application scenarios, the monitoring level setting module is also used for:

[0139] Obtain core logging data from the engineering exploration borehole corresponding to the target wellbore, and determine the unstable formation area at the location of the target wellbore;

[0140] Increase monitoring levels in the unstable geological regions.

[0141] In specific application scenarios, the wellbore surrounding rock micro-strain curve generation module includes an arrangement direction determination unit, used for:

[0142] Obtain the geostress distribution data at the target monitoring level;

[0143] Based on the geostress distribution data, it is determined that the direction of the maximum principal stress is perpendicular to the direction of the minimum principal stress.

[0144] The direction of the maximum principal stress and the direction of the minimum principal stress are taken as the first arrangement direction group, and micro-strain sensors are arranged in the direction of the maximum principal stress and the direction of the minimum principal stress respectively to form the first micro-strain sensor group.

[0145] The direction that makes an angle of 180 degrees with the direction where the maximum principal stress is located is defined as the first opposite direction, and the direction that makes an angle of 180 degrees with the direction where the minimum principal stress is located is defined as the second opposite direction;

[0146] The first and second opposite directions are used as the second arrangement direction group, and micro-strain sensors are arranged in the first and second opposite directions respectively to form a second micro-strain sensor group.

[0147] In specific application scenarios, the wellbore surrounding rock micro-strain curve generation module includes a depth determination unit, used for:

[0148] The acoustic wave velocity distribution data of the surrounding rock was obtained by using an acoustic wave instrument to detect acoustic waves in the monitoring area of ​​the wellbore.

[0149] The range of the plastic zone of the surrounding rock of the wellbore is determined based on the acoustic wave velocity distribution data of the surrounding rock.

[0150] The placement depth of the micro-strain sensors is determined based on the range of the plastic zone of the surrounding rock in the wellbore.

[0151] In specific application scenarios, the wellbore surrounding rock micro-strain curve generation module includes a micro-strain sensor arrangement unit, used for:

[0152] Drilling is performed in the arrangement direction, and the drilling depth is the arrangement depth.

[0153] An anchoring agent is used to fix the first micro-strain sensor at the bottom of the borehole, so that the first micro-strain sensor is coupled to the borehole wall;

[0154] The space between the bottom position and the middle position of the borehole is filled with anchoring agent;

[0155] The second micro-strain sensor is fixed at the middle position, so that the second micro-strain sensor is coupled to the borehole wall;

[0156] An anchoring agent is used to fill the space between the intermediate position and the borehole opening, so that the first micro-strain sensor, the second micro-strain sensor and the surrounding rock of the wellbore form an integral whole.

[0157] In specific application scenarios, the simulated excavation shaft surrounding rock deformation and displacement curve generation module is also used for:

[0158] The point cloud dataset is simplified and filtered to obtain an optimized point cloud dataset, which is then used to construct a three-dimensional model of the wellbore surrounding rock in the wellbore surrounding rock monitoring area.

[0159] This application provides a micro-strain monitoring system for the surrounding rock of an ultra-deep vertical shaft. First, multiple monitoring levels are set within the target shaft at preset shaft depth intervals, and each monitoring level is designated as a target monitoring level. Second, a three-dimensional laser scanning device is used to scan the monitoring area of ​​the surrounding rock at each target monitoring level, obtaining a point cloud dataset of the monitoring area. A three-dimensional model of the surrounding rock is constructed based on this point cloud dataset, and the deformation and displacement curves of the simulated excavation surrounding rock are obtained from the three-dimensional model. Finally, the arrangement of micro-strain sensors is determined based on the geostress distribution data at each target monitoring level. The direction and the arrangement depth of the micro-strain sensor are determined based on the acoustic wave velocity distribution data of the surrounding rock at the target monitoring level. The micro-strain sensor is arranged according to the arrangement direction and the arrangement depth, and the micro-strain data of the surrounding rock monitoring area of ​​the wellbore is collected in real time using the micro-strain sensor to generate a micro-strain curve of the surrounding rock of the wellbore. Further, if the variation law of the deformation displacement curve of the simulated excavation of the wellbore is consistent with the variation law of the micro-strain curve of the surrounding rock of the wellbore, then the micro-strain curve of the surrounding rock of the wellbore is determined as the micro-strain monitoring result of the target monitoring level. Finally, the micro-strain monitoring results of each target monitoring level are combined to obtain the micro-strain monitoring result of the surrounding rock of the target wellbore. Compared with existing technologies, this application embodiment sets up multiple monitoring levels in the target wellbore and determines the arrangement direction and depth of micro-strain sensors at each monitoring level based on the geostress distribution data and surrounding rock acoustic velocity distribution data. This allows for real-time acquisition of micro-strain data in the wellbore surrounding rock monitoring area at each monitoring level, thereby obtaining an accurate wellbore surrounding rock micro-strain curve and achieving accurate monitoring of wellbore surrounding rock micro-strain. Furthermore, a three-dimensional laser scanning device is used to scan the wellbore surrounding rock monitoring area at each monitoring level to construct a three-dimensional model of the wellbore surrounding rock. Simulated excavation is then performed to obtain the simulated excavation wellbore surrounding rock deformation and displacement curve. Finally, based on the comparison between the wellbore surrounding rock micro-strain curve and the simulated excavation wellbore surrounding rock deformation and displacement curve, the micro-strain monitoring results for each monitoring level are obtained. This avoids the problem of inaccurate monitoring results due to single monitoring data and further improves the accuracy of wellbore surrounding rock micro-strain monitoring.

[0160] According to one embodiment of this application, a storage medium is provided, the storage medium storing at least one executable instruction, which can execute the micro-strain monitoring method for the surrounding rock of ultra-deep vertical shafts in any of the above method embodiments.

[0161] Based on this understanding, the technical solution of this application can be embodied in the form of a software product. The software product can be stored in a non-volatile storage medium (such as a CD-ROM, USB flash drive, or portable hard drive), and includes several instructions to cause a computer device (such as a personal computer, server, or network device) to execute the methods described in the various implementation scenarios of this application.

[0162] Figure 8 The diagram shows a structural schematic of a terminal according to one embodiment of the present application. The specific embodiments of the present application do not limit the specific implementation of the terminal.

[0163] like Figure 8 As shown, the terminal may include: a processor 402, a communications interface 404, a memory 406, and a communications bus 408.

[0164] The processor 402, communication interface 404, and memory 406 communicate with each other via communication bus 408.

[0165] Communication interface 404 is used to communicate with other network elements such as clients or other servers.

[0166] The processor 402 is used to execute program 410, which can specifically execute the relevant steps in the above embodiment of the micro-strain monitoring method for the surrounding rock of ultra-deep vertical shafts.

[0167] Specifically, program 410 may include program code that includes computer operation instructions.

[0168] Processor 402 may be a central processing unit (CPU), an application-specific integrated circuit (ASIC), or one or more integrated circuits configured to implement the embodiments of this application. The computer device includes one or more processors, which may be processors of the same type, such as one or more CPUs; or they may be processors of different types, such as one or more CPUs and one or more ASICs.

[0169] Memory 406 is used to store program 410. Memory 406 may include high-speed RAM memory, and may also include non-volatile memory, such as at least one disk storage device.

[0170] Specifically, program 410 can be used to cause processor 402 to perform the following operations:

[0171] According to the preset wellbore depth interval, multiple monitoring levels are set in the target wellbore, and each of the monitoring levels is used as the target monitoring level.

[0172] The surrounding rock monitoring area of ​​the well shaft at the target monitoring level is scanned using a three-dimensional laser scanning device to obtain a point cloud dataset of the surrounding rock monitoring area. A three-dimensional model of the surrounding rock of the well shaft is constructed based on the point cloud dataset. The deformation and displacement curve of the surrounding rock of the well shaft during simulated excavation is obtained based on the three-dimensional model of the surrounding rock of the well shaft.

[0173] The arrangement direction of the micro-strain sensor is determined based on the ground stress distribution data of the target monitoring level, and the arrangement depth of the micro-strain sensor is determined based on the surrounding rock acoustic wave velocity distribution data of the target monitoring level. The micro-strain sensor is arranged according to the arrangement direction and the arrangement depth, and the micro-strain data of the wellbore surrounding rock monitoring area is collected in real time using the micro-strain sensor to generate the wellbore surrounding rock micro-strain curve.

[0174] If the variation law of the deformation displacement curve of the surrounding rock of the simulated excavation shaft is consistent with the variation law of the micro-strain curve of the surrounding rock of the shaft, then the micro-strain curve of the surrounding rock of the shaft is determined as the micro-strain monitoring result of the target monitoring level;

[0175] The micro-strain monitoring results of each target monitoring level are combined to obtain the micro-strain monitoring results of the surrounding rock of the target wellbore.

[0176] The storage medium may also include an operating system and a network communication module. The operating system is the program that manages the hardware and software resources of the physical device for micro-strain monitoring of the surrounding rock of the aforementioned ultra-deep vertical shaft, supporting the operation of information processing programs and other software and / or programs. The network communication module is used to enable communication between the various components within the storage medium, as well as communication with other hardware and software in the information processing physical device.

[0177] The various embodiments in this specification are described in a progressive manner, with each embodiment focusing on its differences from other embodiments. Similar or identical parts between embodiments can be referred to interchangeably. For system embodiments, since they largely correspond to method embodiments, the description is relatively simple; relevant parts can be referred to the descriptions in the method embodiments.

[0178] The methods and systems of this application may be implemented in many ways. For example, they may be implemented by software, hardware, firmware, or any combination of software, hardware, and firmware. The above-described order of steps for the methods is for illustrative purposes only, and the steps of the methods of this application are not limited to the order specifically described above, unless otherwise specifically stated. Furthermore, in some embodiments, this application may also be implemented as a program recorded on a recording medium, the program including machine-readable instructions for implementing the methods according to this application. Thus, this application also covers recording media storing programs for performing the methods according to this application.

[0179] Obviously, those skilled in the art should understand that the modules or steps of this application described above can be implemented using general-purpose computing devices. They can be centralized on a single computing device or distributed across a network of multiple computing devices. Optionally, they can be implemented using computer-executable program code, thereby storing them in a storage device for execution by a computing device. In some cases, the steps shown or described can be performed in a different order than those presented here, or they can be fabricated as separate integrated circuit modules, or multiple modules or steps can be fabricated as a single integrated circuit module. Thus, this application is not limited to any particular combination of hardware and software.

[0180] The above description is merely a preferred embodiment of this application and is not intended to limit this application. Various modifications and variations can be made to this application by those skilled in the art. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of this application should be included within the scope of protection of this application.

Claims

1. A method for monitoring micro-strain in the surrounding rock of an ultra-deep vertical shaft, characterized in that, include: According to the preset wellbore depth interval, multiple monitoring levels are set in the target wellbore, and each of the monitoring levels is used as the target monitoring level. The surrounding rock monitoring area of ​​the well shaft at the target monitoring level is scanned using a three-dimensional laser scanning device to obtain a point cloud dataset of the surrounding rock monitoring area. A three-dimensional model of the surrounding rock of the well shaft is constructed based on the point cloud dataset. The deformation and displacement curve of the surrounding rock of the well shaft during simulated excavation is obtained based on the three-dimensional model of the surrounding rock of the well shaft. The arrangement direction of the micro-strain sensor is determined based on the ground stress distribution data of the target monitoring level, and the arrangement depth of the micro-strain sensor is determined based on the surrounding rock acoustic wave velocity distribution data of the target monitoring level. The micro-strain sensor is arranged according to the arrangement direction and the arrangement depth, and the micro-strain data of the wellbore surrounding rock monitoring area is collected in real time using the micro-strain sensor to generate the wellbore surrounding rock micro-strain curve. If the variation law of the deformation displacement curve of the surrounding rock of the simulated excavation shaft is consistent with the variation law of the micro-strain curve of the surrounding rock of the shaft, then the micro-strain curve of the surrounding rock of the shaft is determined as the micro-strain monitoring result of the target monitoring level; The micro-strain monitoring results of each target monitoring level are combined to obtain the micro-strain monitoring results of the surrounding rock of the target wellbore; Determining the arrangement direction of the micro-strain sensors based on the ground stress distribution data at the target monitoring level includes: Obtain the geostress distribution data at the target monitoring level; The directions of the maximum principal stress and the minimum principal stress are determined based on the geostress distribution data, wherein the directions of the maximum principal stress and the minimum principal stress are perpendicular to each other. The direction of the maximum principal stress and the direction of the minimum principal stress are taken as the first arrangement direction group, and micro-strain sensors are arranged in the direction of the maximum principal stress and the direction of the minimum principal stress respectively to form the first micro-strain sensor group. The direction that makes an angle of 180 degrees with the direction where the maximum principal stress is located is defined as the first opposite direction, and the direction that makes an angle of 180 degrees with the direction where the minimum principal stress is located is defined as the second opposite direction; The first and second opposite directions are used as the second arrangement direction group, and micro-strain sensors are arranged in the first and second opposite directions respectively to form a second micro-strain sensor group.

2. The method according to claim 1, characterized in that, The method of setting multiple monitoring levels within the target wellbore according to preset wellbore depth intervals includes: Obtain the preset wellbore depth boundary; Within a range from the preset wellbore depth to the preset wellbore depth boundary, multiple monitoring levels are set in the target wellbore according to a first preset wellbore depth interval. The preset wellbore depth boundary is deeper than the preset wellbore depth. The preset wellbore depth interval includes the first preset wellbore depth interval. Within the range from the preset wellbore depth boundary to the bottom of the target wellbore, multiple monitoring levels are set in the target wellbore according to the second preset wellbore depth interval. The bottom of the target wellbore is deeper than the preset wellbore depth boundary. The preset wellbore depth interval includes the second preset wellbore depth interval.

3. The method according to claim 1, characterized in that, Before performing the scanning operation on the wellbore surrounding rock monitoring area at the target monitoring level using a three-dimensional laser scanning device, the following steps are also included: Obtain core logging data from the engineering exploration borehole corresponding to the target wellbore, and determine the unstable formation area at the location of the target wellbore; Increase monitoring levels in the unstable geological regions.

4. The method according to claim 1, characterized in that, The step of determining the deployment depth of the micro-strain sensor based on the acoustic wave velocity distribution data of the surrounding rock at the target monitoring level includes: The acoustic wave velocity distribution data of the surrounding rock was obtained by using an acoustic wave instrument to detect acoustic waves in the monitoring area of ​​the wellbore. The range of the plastic zone of the surrounding rock of the wellbore is determined based on the acoustic wave velocity distribution data of the surrounding rock. The placement depth of the micro-strain sensors is determined based on the range of the plastic zone of the surrounding rock in the wellbore.

5. The method according to claim 1, characterized in that, The arrangement of the micro-strain sensor according to the arrangement direction and the arrangement depth includes: Drilling is performed in the arrangement direction, and the drilling depth is the arrangement depth. An anchoring agent is used to fix the first micro-strain sensor at the bottom of the borehole, so that the first micro-strain sensor is coupled to the borehole wall; The space between the bottom position and the middle position of the borehole is filled with anchoring agent; The second micro-strain sensor is fixed at the middle position, so that the second micro-strain sensor is coupled to the borehole wall; An anchoring agent is used to fill the space between the intermediate position and the borehole opening, so that the first micro-strain sensor, the second micro-strain sensor and the surrounding rock of the wellbore form an integral whole.

6. The method according to claim 1, characterized in that, Before constructing the three-dimensional model of the surrounding rock of the wellbore in the wellbore monitoring area based on the point cloud dataset, the method further includes: The point cloud dataset is simplified and filtered to obtain an optimized point cloud dataset, which is then used to construct a three-dimensional model of the wellbore surrounding rock in the wellbore surrounding rock monitoring area.

7. A micro-strain monitoring system for the surrounding rock of an ultra-deep vertical shaft, characterized in that, include: The monitoring level setting module is used to set multiple monitoring levels in the target wellbore according to a preset wellbore depth interval, and to use each of the monitoring levels as the target monitoring level. The simulated excavation shaft surrounding rock deformation and displacement curve generation module is used to scan the shaft surrounding rock monitoring area at the target monitoring level using a three-dimensional laser scanning device, obtain a point cloud dataset of the shaft surrounding rock monitoring area, construct a three-dimensional model of the shaft surrounding rock of the monitoring area based on the point cloud dataset, and obtain the simulated excavation shaft surrounding rock deformation and displacement curve of the shaft surrounding rock of the monitoring area based on the three-dimensional model of the shaft surrounding rock. The wellbore surrounding rock micro-strain curve generation module is used to determine the arrangement direction of the micro-strain sensor based on the geostress distribution data of the target monitoring level, and to determine the arrangement depth of the micro-strain sensor based on the acoustic wave velocity distribution data of the surrounding rock of the target monitoring level. The micro-strain sensor is arranged according to the arrangement direction and the arrangement depth, and the micro-strain data of the wellbore surrounding rock monitoring area is collected in real time using the micro-strain sensor to generate the wellbore surrounding rock micro-strain curve. The variation law comparison module is used to determine the micro-strain curve of the surrounding rock of the well shaft as the micro-strain monitoring result of the target monitoring level if the variation law of the deformation displacement curve of the simulated excavation well shaft is consistent with the variation law of the micro-strain curve of the surrounding rock of the well shaft. The wellbore surrounding rock micro-strain monitoring result generation module is used to combine the micro-strain monitoring results of various target monitoring levels to obtain the wellbore surrounding rock micro-strain monitoring results of the target wellbore; The wellbore surrounding rock micro-strain curve generation module includes an arrangement direction determination unit, used for: Obtain the geostress distribution data at the target monitoring level; The directions of the maximum principal stress and the minimum principal stress are determined based on the geostress distribution data, wherein the directions of the maximum principal stress and the minimum principal stress are perpendicular to each other. The direction of the maximum principal stress and the direction of the minimum principal stress are taken as the first arrangement direction group, and micro-strain sensors are arranged in the direction of the maximum principal stress and the direction of the minimum principal stress respectively to form the first micro-strain sensor group. The direction that makes an angle of 180 degrees with the direction where the maximum principal stress is located is defined as the first opposite direction, and the direction that makes an angle of 180 degrees with the direction where the minimum principal stress is located is defined as the second opposite direction; The first and second opposite directions are used as the second arrangement direction group, and micro-strain sensors are arranged in the first and second opposite directions respectively to form a second micro-strain sensor group.

8. A storage medium storing at least one executable instruction, characterized in that, The executable instructions cause the processor to perform the operations corresponding to the micro-strain monitoring method for the surrounding rock of an ultra-deep vertical shaft as described in any one of claims 1-6.

9. A terminal, comprising: The processor, memory, communication interface, and communication bus are provided, wherein the processor, memory, and communication interface communicate with each other via the communication bus. The memory is used to store at least one executable instruction, characterized in that the executable instruction causes the processor to perform the operation corresponding to the micro-strain monitoring method for the surrounding rock of an ultra-deep vertical shaft as described in any one of claims 1-6.

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