CN117872494A - Deep metal ore granite rock internal joint information acquisition method and prediction method - Google Patents

Deep metal ore granite rock internal joint information acquisition method and prediction method Download PDF

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CN117872494A
CN117872494A CN202410275678.4A CN202410275678A CN117872494A CN 117872494 A CN117872494 A CN 117872494A CN 202410275678 A CN202410275678 A CN 202410275678A CN 117872494 A CN117872494 A CN 117872494A
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rock
resistivity
construction
acquiring
joint
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CN117872494B (en
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张月征
付桢
纪洪广
张春瑞
李天宇
沈恒祥
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University of Science and Technology Beijing USTB
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University of Science and Technology Beijing USTB
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Abstract

The application discloses a method for acquiring and predicting joint information in deep metal ore granite rock. The acquisition method comprises the following steps: obtaining rock cores with different depths in a physical exploration hole, and preparing and obtaining a first rock sample; processing the first rock sample to obtain a second rock sample; e first temperature values in each object detection hole are obtained; e pieces of first resistivity data of each second rock sample heated in E pieces of first temperature values are obtained, then a fitting curve corresponding to each second rock sample is obtained, and then a fitting formula and a resistivity change rule diagram are obtained; p pieces of second resistivity data between adjacent object detection holes are obtained, and then a resistivity cloud picture is obtained; if an abnormal resistivity region exists in the map, acquiring joint information inside the deep metal ore granite rock based on a first preset strategy and a resistivity change rule map; otherwise, the joint information is obtained based on a second preset strategy and a fitting formula. The method can accurately, comprehensively and quickly acquire the deep stratum structure information.

Description

Deep metal ore granite rock internal joint information acquisition method and prediction method
Technical Field
The disclosure relates to the technical field of deep stratum detection, in particular to a method for acquiring and predicting joint information in deep metal ore granite rock.
Background
Under the action of high-stress and high-water pressure geological structures, the deep stratum is easy to exceed the bearing capacity of the rock and is subjected to plastic deformation, so that joints and cracks with various angles exist in the deep stratum. The through joint angle is particularly dangerous, water burst and water burst accidents are easy to occur in the deep engineering construction process, and a large number of researches and engineering practices prove that the prevention and the control of water damage in the deep mine construction are particularly important, so that the occurrence state and the importance of stratum joints and cracks in the deep engineering area construction area are ascertained.
At present, the stratum in front of the tunneling working face is still in an unknown state after the stratum enters the deep stratum, and after the stratum enters the deep stratum, stratum cracks are randomly distributed, so that stratum fracture is complicated, the construction difficulty of the deep engineering construction is further increased, and therefore the problem of accurately identifying the angle of stratum faults becomes a focus.
The most common means in the traditional deep engineering is to perform prospecting of geological advanced drilling, but through single geological advanced drilling, only the occurrence state of a local stratum can be known on one side, the trend of the whole broken stratum cannot be known clearly, and if the stratum below a working surface is to be known clearly, a large number of geological drilling holes are required to be constructed simultaneously, so that construction period is delayed and resource is wasted; meanwhile, the occurrence state of the joint and the fissure of the stratum in front of the whole working face cannot be comprehensively estimated, water burst and water burst accidents can be caused in the production and construction process, the safety accident risk is increased, and a large amount of economic losses are caused.
Disclosure of Invention
In view of the above, the embodiments of the present disclosure provide a method for obtaining and predicting joint information inside deep metal ore granite rock, which at least partially solves the problem in the prior art that deep stratum structure information cannot be obtained accurately, comprehensively and rapidly.
In a first aspect, an embodiment of the present disclosure provides a method for obtaining joint information inside a deep metal ore granite rock, including:
drilling N object exploratory holes in a preset area; n is more than or equal to 2;
q rock cores with different depths are obtained from each object exploratory hole;
preparing Q first rock samples from Q rock cores;
processing the Q first rock samples to obtain Q second rock samples; joints with different preset angles are respectively arranged in the Q second rock samples;
e first temperature values in each object detection hole are obtained;
e pieces of first resistivity data of each second rock sample after being heated in E pieces of first temperature values for preset time periods are obtained;
acquiring a fitting curve corresponding to each second rock sample based on E pieces of first resistivity data;
acquiring a fitting formula and a resistivity change rule chart based on the Q fitting curves;
p pieces of second resistivity data between adjacent geophysical prospecting holes are obtained;
Obtaining a resistivity cloud picture based on the P pieces of second resistivity data;
judging whether a resistivity abnormal region exists in the resistivity cloud picture, if so, acquiring the internal joint information of the deep metal ore granite rock based on a first preset strategy and the resistivity change rule picture; and if not, acquiring the internal joint information of the deep metal ore granite rock based on a second preset strategy and the fitting formula.
Preferably, the acquiring a set of temperature gradients in each of the geophysical prospecting holes includes:
acquiring E first temperature values in each object detection hole by adopting a temperature sensor according to a preset interval;
the preset interval is F, f=h/E, wherein H is the depth of the object exploratory hole;
E≥5。
preferably, the acquiring E pieces of first resistivity data of each of the second rock samples after being heated in E pieces of first temperature values for a preset period of time includes:
arranging E first temperature values in an ascending order to obtain a heating order;
performing heating treatment on each second rock sample based on the heating sequence, and sequentially obtaining the second rock samples at different temperatures;
testing to obtain first resistivity data for the second rock sample at different temperatures.
Preferably, the fitting formula is:
wherein,for rock resistivity>For temperature, < >>≠0,/>≠0。
Preferably, p=d×l;
and D is the test depth corresponding to each piece of second resistivity data, and L is the hole spacing between adjacent object detection holes.
Preferably, the obtaining the internal joint information of the deep metal ore granite rock based on the first preset strategy and the resistivity change rule diagram includes:
extracting abnormal resistivity data in the resistivity abnormal region;
based on the resistivity change rule diagram, obtaining first coordinates corresponding to each group of first mapping data;
each set of the first mapping data includes each of the abnormal resistivity data and its corresponding temperature value;
acquiring the fitting curve with the shortest distance from the first coordinate;
and taking the preset angle of the joint corresponding to the fitting curve as the joint angle between the corresponding adjacent geophysical prospecting holes.
Preferably, the obtaining the internal joint information of the deep metal ore granite rock based on the second preset strategy and the fitting formula includes:
acquiring a second temperature value corresponding to each piece of second resistivity data based on the fitting formula;
obtaining second coordinates corresponding to each group of second mapping data based on the resistivity change rule diagram;
Each set of the second mapping data includes each of the second resistivity data and its corresponding second temperature value;
acquiring the fitting curve with the shortest distance from the second coordinate;
and taking the preset angle of the joint corresponding to the fitting curve as the joint angle between the corresponding adjacent geophysical prospecting holes.
Preferably, if the number of the obtained fitting curves with the shortest distance from the first coordinate is one, taking a preset angle of the joint corresponding to the fitting curve as a joint angle between the adjacent corresponding geophysical prospecting holes;
and if the number of the obtained fitting curves with the shortest distance from the first coordinates is two, taking the preset angle of the joint corresponding to the two fitting curves as the corresponding joint angle range between the adjacent geophysical prospecting holes.
In a second aspect, an embodiment of the present disclosure further provides a deep metal ore granite rock internal joint information acquisition system, including:
the drilling module is configured to drill N object exploration holes in a preset area; n is more than or equal to 2.
The first acquisition module is configured to acquire Q rock cores with different depths in each object exploratory hole.
The preparation module is configured to prepare Q cores into Q first rock samples.
The processing module is configured to process the Q first rock samples to obtain Q second rock samples;
the Q second rock samples are respectively provided with joints with different preset angles.
And the second acquisition module is configured to acquire E first temperature values in each object detection hole.
And the third acquisition module is configured to acquire E pieces of first resistivity data of each second rock sample after heating in E pieces of first temperature values for a preset time period respectively.
The fourth acquisition module is configured to acquire a fitting curve corresponding to each second rock sample based on the E pieces of first resistivity data;
and acquiring a fitting formula and a resistivity change rule chart based on the Q fitting curves.
A fifth acquisition module configured to acquire P second resistivity data between adjacent object probe holes;
based on the P second resistivity data, a resistivity cloud is obtained.
And a sixth acquisition module configured to acquire the resistivity abnormal region based on the resistivity cloud.
A judging module configured to judge whether a resistivity abnormal region exists in the resistivity cloud picture,
if yes, acquiring the internal joint information of the deep metal ore granite rock based on a first preset strategy and a resistivity change rule diagram;
if not, acquiring the internal joint information of the deep metal ore granite rock based on a second preset strategy and a fitting formula.
In a third aspect, the application discloses a prediction method for predicting a deep stratum structure, and the method for acquiring joint information inside a deep metal ore granite rock based on any one of the above, further includes:
acquiring a value range based on the joint information in the deep metal ore granite rock;
predicting the construction type of the deep stratum structure based on the value range;
wherein the value of the joint information in the deep metal ore granite rock is
When (when)When the construction type is predicted to be a first-type construction;
when (when)Predicting that the construction type is a second type construction;
when (when)Predicting that the construction type is a third type of construction;
when (when)When the construct type is predicted to be a fourth type of construct.
Optionally, the method further comprises: based on the construction type, matching corresponding execution strategies;
triggering corresponding execution operation according to the execution strategy;
if the construction type is the first type of construction, the execution strategy is a first strategy, and the execution operation comprises construction of a grout stop pad and reservation of a grout stop rock cap;
if the construction type is the second type construction, the execution strategy is a second strategy; the execution operation comprises construction grouting pads and fracturing grouting;
If the construction type is the third type construction, the execution strategy is a third strategy; the performing operation includes high pressure grouting;
if the construction type is the fourth type construction, the execution strategy is a fourth strategy; the performing operation includes low pressure grouting.
In a fourth aspect, an embodiment of the present disclosure further provides a computer apparatus, which adopts the following technical scheme:
the computer apparatus includes:
at least one processor; the method comprises the steps of,
a memory communicatively coupled to the at least one processor; wherein,
the memory stores instructions executable by the at least one processor to enable the at least one processor to perform any one of the deep metal ore granite rock internal joint information acquisition method or prediction method described above.
In a fifth aspect, the disclosed embodiments also provide a computer-readable storage medium storing computer instructions for causing a computer to perform any one of the above deep metal ore granite rock internal joint information acquisition method or prediction method.
In a sixth aspect, the presently disclosed embodiments also provide a computer program product comprising a computer program/instruction which, when executed by a processor, implements the steps of the method of any of the preceding claims.
According to the method for acquiring the internal joint information of the deep metal ore granite rock, the reliability and the comprehensiveness of the prefabricated second rock sample are guaranteed to be high by drilling a plurality of object exploratory holes, acquiring a rock core and preparing a sample; the electrical characteristics inside the rock can be better understood by acquiring the first temperature value and the first resistivity data and analyzing based on the fitting curve and the resistivity change rule diagram, and the characteristics of the underground rock mass can be deeply analyzed; resistivity cloud images are generated by utilizing the resistivity data among adjacent object exploratory holes, and abnormal areas of the resistivity can be intuitively displayed, so that further analysis and judgment can be performed pertinently; and according to the existence or non-existence of the resistivity abnormal region in the resistivity cloud chart, different preset strategies are adopted for data processing and analysis, so that the method is beneficial to more pertinently acquiring the joint information in the deep metal ore granite rock. According to the method, the indoor experiment is combined with the on-site detection, the resistivity of the through jointed rock sample at different angles is calibrated through the indoor experiment, and the angle or the angle range of the deep stratum is obtained by comparing the resistivity with the engineering actually measured resistivity, so that the method is simple, the period is short, a large amount of manpower and material resources are not wasted, the reliability is high, and the method can be used for guiding safe construction.
The foregoing description is only an overview of the disclosed technology, and may be implemented in accordance with the disclosure of the present disclosure, so that the above-mentioned and other objects, features and advantages of the present disclosure can be more clearly understood, and the following detailed description of the preferred embodiments is given with reference to the accompanying drawings.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present disclosure, the drawings that are needed in the embodiments will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present disclosure, and other drawings may be obtained according to these drawings without inventive effort to a person of ordinary skill in the art.
Fig. 1 is a flow chart of a method for obtaining joint information inside a deep metal ore granite rock according to an embodiment of the present disclosure.
Fig. 2 is a schematic view of a second rock sample provided by an embodiment of the present disclosure.
Fig. 3 is a flowchart illustrating a method for acquiring first resistivity data according to an embodiment of the disclosure.
Fig. 4 is a flowchart of a method for acquiring joint information inside a rock by using a first preset strategy according to an embodiment of the present disclosure.
Fig. 5 is a flowchart of a method for acquiring joint information inside a rock by using a second preset strategy according to an embodiment of the present disclosure.
Fig. 6 is a schematic diagram of a fitting formula and a resistivity variation law chart provided in an embodiment of the disclosure.
Fig. 7 is a schematic diagram of a resistivity cloud provided by an embodiment of the present disclosure.
Fig. 8 is a schematic block diagram of a deep metal ore granite rock internal joint information acquisition system provided by an embodiment of the present disclosure.
Fig. 9 is a schematic structural diagram of a computer device according to an embodiment of the disclosure.
Detailed Description
Embodiments of the present disclosure are described in detail below with reference to the accompanying drawings.
It should be appreciated that the following specific embodiments of the disclosure are described in order to provide a better understanding of the present disclosure, and that other advantages and effects will be apparent to those skilled in the art from the present disclosure. It will be apparent that the described embodiments are merely some, but not all embodiments of the present disclosure. The disclosure may be embodied or practiced in other different specific embodiments, and details within the subject specification may be modified or changed from various points of view and applications without departing from the spirit of the disclosure. It should be noted that the following embodiments and features in the embodiments may be combined with each other without conflict. All other embodiments, which can be made by one of ordinary skill in the art without inventive effort, based on the embodiments in this disclosure are intended to be within the scope of this disclosure.
It is noted that various aspects of the embodiments are described below within the scope of the following claims. It should be apparent that the aspects described herein may be embodied in a wide variety of forms and that any specific structure and/or function described herein is merely illustrative. Based on the present disclosure, one skilled in the art will appreciate that one aspect described herein may be implemented independently of any other aspect, and that two or more of these aspects may be combined in various ways. For example, an apparatus may be implemented and/or a method practiced using any number of the aspects set forth herein. In addition, such apparatus may be implemented and/or such methods practiced using other structure and/or functionality in addition to one or more of the aspects set forth herein.
It should also be noted that the illustrations provided in the following embodiments merely illustrate the basic concepts of the disclosure by way of illustration, and only the components related to the disclosure are shown in the drawings and are not drawn according to the number, shape and size of the components in actual implementation, and the form, number and proportion of the components in actual implementation may be arbitrarily changed, and the layout of the components may be more complicated.
In addition, in the following description, specific details are provided in order to provide a thorough understanding of the examples. However, it will be understood by those skilled in the art that the aspects may be practiced without these specific details.
Referring to fig. 1, a first aspect of the present application discloses a method for obtaining internal joint information of deep metal ore granite rock, the method comprising the steps of:
s100, drilling N object exploration holes in a preset area; n is more than or equal to 2.
S200, Q rock cores with different depths are obtained from each object exploratory hole.
S300, preparing Q first rock samples from Q rock cores.
In this embodiment, the first rock sample is a standard rock sample.
Specifically, the first rock sample is a cylinder, and the roughness of the cylinder surface of the cylinder is less than or equal to +/-5 degrees.
In this embodiment, Q.gtoreq.5.
S400, processing the Q first rock samples to obtain Q second rock samples;
the Q second rock samples are respectively provided with joints with different preset angles.
S500, E first temperature values in each object detection hole are obtained.
It should be noted that, the E first temperature values refer to E actual temperature information obtained by testing in the same geophysical prospecting hole.
S600, E pieces of first resistivity data of each second rock sample after being heated in E pieces of first temperature values respectively for a preset period of time are obtained.
S700, acquiring a fitting curve corresponding to each second rock sample based on E pieces of first resistivity data;
and acquiring a fitting formula and a resistivity change rule chart based on the Q fitting curves.
Wherein, the fitting formula is:;/>for rock resistivity>For temperature, < >>≠0,/>≠0,/>、/>Are coefficients.
S800, P pieces of second resistivity data between adjacent object detection holes are obtained;
based on the P second resistivity data, a resistivity cloud is obtained.
In this embodiment, p=d×l.
Wherein D is the test depth corresponding to each second resistivity data, and L is the hole spacing of adjacent object exploration holes.
S900, judging whether a resistivity abnormal region exists in the resistivity cloud picture,
if yes, acquiring the internal joint information of the deep metal ore granite rock based on a first preset strategy and a resistivity change rule diagram;
if not, acquiring the internal joint information of the deep metal ore granite rock based on a second preset strategy and a fitting formula.
According to the method for acquiring the internal joint information of the deep metal ore granite rock, the reliability and the comprehensiveness of the prefabricated second rock sample are guaranteed to be high by drilling a plurality of object exploratory holes, acquiring a rock core and preparing a sample; the electrical characteristics inside the rock can be better understood by acquiring the first temperature value and the first resistivity data and analyzing based on the fitting curve and the resistivity change rule diagram, and the characteristics of the underground rock mass can be deeply analyzed; resistivity cloud images are generated by utilizing the resistivity data among adjacent object exploratory holes, and abnormal areas of the resistivity can be intuitively displayed, so that further analysis and judgment can be performed pertinently; and according to the existence or non-existence of the resistivity abnormal region in the resistivity cloud chart, different preset strategies are adopted for data processing and analysis, so that the method is beneficial to more pertinently acquiring the joint information in the deep metal ore granite rock. According to the method, the indoor experiment is combined with the on-site detection, the resistivity of the through jointed rock sample at different angles is calibrated through the indoor experiment, and the angle or the angle range of the deep stratum is obtained by comparing the resistivity with the engineering actually measured resistivity, so that the method is simple, the period is short, a large amount of manpower and material resources are not wasted, the reliability is high, and the method can be used for guiding safe construction.
Meanwhile, the existing resources and data can be utilized to the maximum extent through a systematic method and a systematic flow, and repeated work is avoided, so that the cost of exploration and analysis is saved; by analyzing the data such as the fitting curve, the resistivity cloud picture, the resistivity abnormal region and the like, scientific basis and visual results can be provided for decision makers, and the decision makers can be helped to make more accurate decisions; through the acquisition and analysis of the joint information inside the rock, the characteristics and the structure of the deep metal ore granite rock can be understood more deeply, and important references are provided for subsequent exploration and development work. In general, the method combines various technical means such as core analysis, resistivity data processing, curve fitting, resistivity cloud image generation and the like, comprehensively utilizes multidisciplinary knowledge such as geography, physics, mathematics and the like, can comprehensively and systematically acquire the internal joint information of deep metal ore granite rock, and provides important technical support and decision basis for mineral exploration work.
Specifically, acquiring a set of temperature gradients within each of the object probe holes includes: e first temperature values in each object detection hole are obtained by adopting a temperature sensor according to preset intervals. Typically, the E first temperature values are E different actual temperature information.
The preset interval is F, wherein F=H/E, and H is the depth of the object exploratory hole; e is more than or equal to 5.
The temperature gradient has a certain influence on the property and stability of the rock, and the acquisition of the temperature gradient set can help to evaluate the change rule of the rock under different temperature conditions, so that important data support is provided for the research and evaluation of the rock property; the acquisition of the temperature gradient set can provide more comprehensive data support, and is combined with other information such as resistivity and other data to perform comprehensive analysis in multiple aspects.
Referring to fig. 2, when Q is 5, different preset angles are 0 °, 30 °, 45 °, 60 °, 75 °, 90 °, respectively.
In particular, the first rock sample is preferably a cylindrical rock sample having a diameter of 50mm and a height of 100 mm.
Further, the Q first rock samples are processed, so that joints with different preset angles are respectively formed in the Q second rock samples, specifically, joints with different angles are prefabricated in the cylindrical rock samples, and the joints are round holes with diameters of 2mm, namely, prefabricated cracks (namely, through joints).
Preferably, the preset duration is 48 hours.
Specifically, when E is 7, the E first temperature values are respectively: 25 ℃, 30 ℃, 45 ℃, 60 ℃, 75 ℃, 85 ℃, 95 ℃.
Referring to fig. 3, the first resistivity data acquisition method includes the steps of:
S610, arranging E first temperature values in ascending order to obtain a heating sequence.
And S620, performing heat treatment on each second rock sample based on the heating sequence, and sequentially obtaining the second rock samples at different temperatures.
And S630, testing to obtain first resistivity data of the second rock sample at different temperatures.
In the embodiment, the resistivity data of the second rock sample at different temperatures can be orderly acquired by processing according to the heating sequence, so that the influence caused by different heating sequences is avoided, and the effectiveness and comparability of data acquisition are ensured; by acquiring the resistivity data at different temperatures, the characteristics of the rock in terms of thermal performance, electrical performance and the like can be comprehensively considered, the internal structure and the property of the rock can be comprehensively known, and basic data can be provided for the subsequent acquisition of the internal joint information of the deep metal ore granite.
Referring to fig. 4, the method for acquiring the joint information inside the rock by adopting the first preset strategy specifically includes the following steps:
a100, extracting abnormal resistivity data in the resistivity abnormal region;
a200, obtaining first coordinates corresponding to each group of first mapping data based on a resistivity change rule diagram;
each set of first mapping data comprises each abnormal resistivity data and a corresponding temperature value thereof;
A300, obtaining a fitting curve with the shortest distance from the first coordinate;
and taking the preset angle of the joint corresponding to the fitting curve as the joint angle between the corresponding adjacent object exploratory holes.
In the embodiment, by combining the data of the resistivity abnormal region and the resistivity change rule diagram, the information of the resistivity abnormal region and the resistivity change rule diagram is comprehensively utilized, and the reliability and the accuracy of acquiring the joint angle are improved; by extracting abnormal resistivity data in the resistivity abnormal region, a part with abnormality can be focused on, and the abnormal part is used as reference data for determining joint angles, so that important information can be screened from the data in the rock.
Wherein the place with the abnormality is the place with broken rock, namely the place with the highest probability of easily generating water burst and water surge accidents, through the embodiment, the deep stratum structure information of the preset area can be accurately acquired, the subsequent site construction can be safely guided through the information, the occurrence of dangerous accidents is prevented,
referring to fig. 5, the method for acquiring the joint information inside the rock by adopting the second preset strategy specifically includes the following steps:
and B100, acquiring a second temperature value corresponding to each piece of second resistivity data based on a fitting formula.
B200, obtaining second coordinates corresponding to each group of second mapping data based on the resistivity change rule diagram;
each set of second mapping data includes each second resistivity data and its corresponding second temperature value.
B300, obtaining a fitting curve with the shortest distance from the second coordinate;
and taking the preset angle of the joint corresponding to the fitting curve as the joint angle between the corresponding adjacent object exploratory holes.
In the embodiment, a second temperature value corresponding to second resistivity data is obtained through a fitting formula, and the reliability of the data is ensured by combining an indoor experiment with field detection, so that the relation between the temperature and the resistivity of the rock can be deeply analyzed; the preset angle of the joint is determined by acquiring the fitting curve with the shortest distance from the second coordinate, so that the accuracy and precision of angle measurement can be improved, and the joint characteristics in the rock can be described more accurately; the information of the resistivity data and the temperature data can be comprehensively utilized by acquiring the second coordinates corresponding to the second mapping data based on the resistivity change rule diagram, so that the reliability and the accuracy of acquiring the joint angle are improved; each group of second mapping data comprises resistivity data and corresponding temperature values, so that the influence of temperature on resistivity can be considered, and the joint information in the rock can be more comprehensively analyzed; the joint angles are determined through fitting curves, so that the joint structure inside the rock can be effectively analyzed and described, and important reference information is provided for geological exploration and engineering design.
In the application, if the number of the obtained fitting curves with the shortest distance from the first coordinate is one, the preset angle of the joint corresponding to the fitting curve is taken as the joint angle between the corresponding adjacent object exploration holes.
And if the number of the obtained fitting curves with the shortest distance from the first coordinates is two, taking the preset angle of the joint corresponding to the two fitting curves as the joint angle range between the corresponding adjacent object exploratory holes.
For example, the two fitting curves with the shortest distance from the first coordinate are two, and the preset angles of the joints corresponding to the two fitting curves are respectively、/>Wherein-></>Corresponding adjacent geophysical prospectingThe range of joint angles between holes is: />
In this embodiment, the obtained joint information between the corresponding adjacent object probe holes is accurate and reliable through the obtained fitting curve with the shortest distance from the first coordinate; when the number of the fitting curves is two, the preset joint angles corresponding to the two fitting curves are used as joint angle ranges, so that the variability of the joint angles is considered, the variation can be better described by determining the angle ranges, and the joint angle ranges between the corresponding geophysical prospecting holes are provided; the fitting curves are taken into consideration, so that the joint information in the rock can be more comprehensively mastered, different fitting curves with different numbers represent different joint angle conditions, and the joint structure in the rock can be more comprehensively understood and described by comprehensively considering the conditions, so that more accurate information is provided for subsequent analysis and application.
Therefore, according to the number of the fitting curves with the shortest distance from the first coordinate, the accuracy and the reliability of the measurement result can be improved by determining the joint angle or the joint angle range, the variability of the joint angle is fully considered, and more valuable information is provided for the research of the rock structure and the engineering design.
In this embodiment, the method specifically includes: 1) First, a coring tool, such as a coring bit, a coring pipe, etc., needs to be prepared; 2) Using a suitable coring bit, mounting it on a drill rig, and beginning drilling at the location of each of the object-finding holes; 3) After the drilling hole reaches the target depth, taking out the stratum sample gently by using a coring pipe or other tools, namely coring; 4) Marking the taken stratum sample, and recording the number, depth and other information of the hole so as to facilitate subsequent analysis and comparison; 5) And the coring stratum sample is properly stored, so that sample pollution or mixing is avoided, and the accuracy of subsequent analysis is ensured. During the coring operation, care is taken to select the proper coring tool and technique to ensure the accuracy of coring and the integrity of the formation sample for subsequent geological analysis and investigation.
Referring to fig. 6, when Q is 5, five fitted curves are obtained, and these fitted curves constitute a resistivity change law map.
Specifically, the five fitting curves obtained are respectively:
thus, the fitting formula obtained is:
referring to fig. 7, in this embodiment, based on the resistivity cloud chart, the difference between adjacent resistivity contours is calculated, wherein the region with the largest difference between adjacent resistivity contours is the resistivity anomaly.
Referring to fig. 7, in this embodiment, based on the resistivity cloud chart, the difference between adjacent resistivity contours is calculated, wherein the region with the largest difference between adjacent resistivity contours is the resistivity anomaly.
According to the method disclosed by the application, stratum information with high quality and high reliability can be obtained without carrying out a large amount of data acquisition.
Referring to fig. 8, a second aspect of the present application discloses a deep metal ore granite rock internal joint information acquisition system, comprising:
the drilling module is configured to drill N object exploration holes in a preset area; n is more than or equal to 2.
The first acquisition module is configured to acquire Q rock cores with different depths in each object exploratory hole.
The preparation module is configured to prepare Q cores into Q first rock samples.
The processing module is configured to process the Q first rock samples to obtain Q second rock samples;
the Q second rock samples are respectively provided with joints with different preset angles.
And the second acquisition module is configured to acquire E first temperature values in each object detection hole.
And the third acquisition module is configured to acquire E pieces of first resistivity data of each second rock sample after heating in E pieces of first temperature values for a preset time period respectively.
The fourth acquisition module is configured to acquire a fitting curve corresponding to each second rock sample based on the E pieces of first resistivity data;
and acquiring a fitting formula and a resistivity change rule chart based on the Q fitting curves.
A fifth acquisition module configured to acquire P second resistivity data between adjacent object probe holes;
based on the P second resistivity data, a resistivity cloud is obtained.
And a sixth acquisition module configured to acquire the resistivity abnormal region based on the resistivity cloud.
A judging module configured to judge whether a resistivity abnormal region exists in the resistivity cloud picture,
if yes, acquiring the internal joint information of the deep metal ore granite rock based on a first preset strategy and a resistivity change rule diagram;
if not, acquiring the internal joint information of the deep metal ore granite rock based on a second preset strategy and a fitting formula.
The third aspect of the application discloses a prediction method for predicting a deep stratum structure, which is based on a deep metal ore granite rock internal joint information acquisition method, and further comprises the following steps:
Acquiring a value range based on the joint information in the deep metal ore granite rock;
based on the value range, predicting the construction type of the deep stratum structure;
based on the construction type, matching corresponding execution strategies;
and triggering corresponding execution operation according to the execution strategy.
Wherein, the value of the joint information in the deep metal ore granite rock is
When (when)When the predicted construction type is a first type construction;
when (when)When the predicted construction type is a second type construction;
when (when)When the predicted construction type is a third type construction;
when (when)When the predicted construct type is a fourth type of construct.
If the construction type is a first type of construction, the joint angle of the area penetrates through the stratum of the working surface, the water burst risk is high, the corresponding execution strategy is the first strategy, and the corresponding execution operation comprises construction of a grout stop pad and reservation of a grout stop rock cap.
If the construction type is a second type of construction, the high-angle broken stratum exists in the region, the water burst risk is high, grouting is difficult, the corresponding execution strategy is a second strategy, and the corresponding execution operation comprises construction grouting stopping pad and fracturing grouting;
if the construction type is a third type of construction, indicating that the angle of the broken stratum in the area is higher, and the corresponding execution strategy is a third strategy, and the corresponding execution operation comprises high-pressure grouting;
If the construction type is a fourth type construction, the region is a horizontal broken stratum, the water burst risk is low, the corresponding execution strategy is a fourth strategy, and the corresponding execution operation comprises low-pressure grouting.
In the embodiment, according to geological conditions of different construction types, the water burst risk can be prevented and controlled in a targeted manner by adopting corresponding strategies, and problems and accident risks possibly occurring in construction are reduced; and proper strategies are adopted aiming at different geological conditions, so that the construction efficiency can be improved. The specific construction mode and measures are matched with stratum conditions, so that the construction work can be smoothly carried out; the construction strategy suitable for geological conditions is selected, so that unnecessary construction measures and material consumption can be reduced, and the construction cost is reduced; by adopting corresponding preset strategies according to different types of structural characteristics, the geological change can be effectively treated, the construction quality is ensured, the engineering risk is reduced, and the safety and stability of the engineering are ensured; different strategies are adopted according to actual conditions, flexibility and adaptability of a construction team are shown, corresponding adjustment can be carried out according to different geological conditions, and success rate and reliability of construction are improved.
In conclusion, different preset strategies are selected according to the construction type and the geological condition, risk prevention and control are facilitated, construction efficiency is improved, cost is reduced, engineering quality is improved, flexibility and adaptability are shown, and smooth construction and engineering stability are ensured.
A computer device according to an embodiment of the present disclosure includes a memory and a processor. The memory is for storing non-transitory computer readable instructions. In particular, the memory may include one or more computer program products, which may include various forms of computer-readable storage media, such as volatile memory and/or non-volatile memory. The volatile memory may include, for example, random Access Memory (RAM) and/or cache memory (cache), and the like. The non-volatile memory may include, for example, read Only Memory (ROM), hard disk, flash memory, and the like.
The processor may be a Central Processing Unit (CPU) or other form of processing unit having data processing and/or instruction execution capabilities, and may control other components in the computer device to perform the desired functions. In one embodiment of the present disclosure, the processor is configured to execute the computer readable instructions stored in the memory, so that the computer device performs all or part of the steps of the deep metal ore granite rock internal joint information acquisition method or prediction method of the embodiments of the present disclosure described above.
It should be understood by those skilled in the art that, in order to solve the technical problem of how to obtain a good user experience effect, the present embodiment may also include well-known structures such as a communication bus, an interface, and the like, and these well-known structures are also included in the protection scope of the present disclosure.
Fig. 9 is a schematic structural diagram of a computer device according to an embodiment of the disclosure. A schematic diagram of a computer device suitable for use in implementing embodiments of the present disclosure is shown. The computer device illustrated in fig. 9 is merely an example and should not be construed as limiting the functionality and scope of use of the disclosed embodiments.
As shown in fig. 9, the computer device may include a processor (e.g., a central processing unit, a graphic processor, etc.), which may perform various appropriate actions and processes according to a program stored in a Read Only Memory (ROM) or a program loaded from a storage device into a Random Access Memory (RAM). In the RAM, various programs and data required for the operation of the computer device are also stored. The processor, ROM and RAM are connected to each other by a bus. An input/output (I/O) interface is also connected to the bus.
In general, the following devices may be connected to the I/O interface: input means including, for example, sensors or visual information gathering devices; output devices including, for example, display screens and the like; storage devices including, for example, magnetic tape, hard disk, etc.; a communication device. The communication means may allow the computer means to communicate wirelessly or by wire with other devices, such as edge computing devices, to exchange data. While FIG. 9 illustrates a computer device having various devices, it is to be understood that not all illustrated devices are required to be implemented or provided. More or fewer devices may be implemented or provided instead.
In particular, according to embodiments of the present disclosure, the processes described above with reference to flowcharts may be implemented as computer software programs. For example, embodiments of the present disclosure include a computer program product comprising a computer program embodied on a non-transitory computer readable medium, the computer program comprising program code for performing the method shown in the flow chart. In such an embodiment, the computer program may be downloaded and installed from a network via a communication device, or installed from a storage device, or installed from ROM. When executed by a processor, perform all or part of the steps of the deep metal ore granite rock internal joint information acquisition method or prediction method of embodiments of the present disclosure.
The detailed description of the present embodiment may refer to the corresponding description in the foregoing embodiments, and will not be repeated herein.
A computer-readable storage medium according to an embodiment of the present disclosure has stored thereon non-transitory computer-readable instructions. When executed by a processor, perform all or part of the steps of the deep metal ore granite rock internal joint information acquisition method or prediction method of the various embodiments of the present disclosure described previously.
The computer-readable storage medium described above includes, but is not limited to: optical storage media (e.g., CD-ROM and DVD), magneto-optical storage media (e.g., MO), magnetic storage media (e.g., magnetic tape or removable hard disk), media with built-in rewritable non-volatile memory (e.g., memory card), and media with built-in ROM (e.g., ROM cartridge).
The detailed description of the present embodiment may refer to the corresponding description in the foregoing embodiments, and will not be repeated herein.
The basic principles of the present disclosure have been described above in connection with specific embodiments, however, it should be noted that the advantages, benefits, effects, etc. mentioned in the present disclosure are merely examples and not limiting, and these advantages, benefits, effects, etc. are not to be considered as necessarily possessed by the various embodiments of the present disclosure. Furthermore, the specific details disclosed herein are for purposes of illustration and understanding only, and are not intended to be limiting, since the disclosure is not necessarily limited to practice with the specific details described.
In this disclosure, relational terms such as first and second, and the like are used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions, and the block diagrams of devices, apparatuses, devices, systems involved in this disclosure are merely illustrative examples and are not intended to require or implicate that connections, arrangements, configurations must be made in the manner shown in the block diagrams. As will be appreciated by one of skill in the art, the devices, apparatuses, devices, systems may be connected, arranged, configured in any manner. Words such as "including," "comprising," "having," and the like are words of openness and mean "including but not limited to," and are used interchangeably therewith. The terms "or" and "as used herein refer to and are used interchangeably with the term" and/or "unless the context clearly indicates otherwise. The term "such as" as used herein refers to, and is used interchangeably with, the phrase "such as, but not limited to.
In addition, as used herein, the use of "or" in the recitation of items beginning with "at least one" indicates a separate recitation, such that recitation of "at least one of A, B or C" for example means a or B or C, or AB or AC or BC, or ABC (i.e., a and B and C). Furthermore, the term "exemplary" does not mean that the described example is preferred or better than other examples.
It is also noted that in the systems and methods of the present disclosure, components or steps may be disassembled and/or assembled. Such decomposition and/or recombination should be considered equivalent to the present disclosure.
Various changes, substitutions, and alterations are possible to the techniques described herein without departing from the teachings of the techniques defined by the appended claims. Furthermore, the scope of the claims of the present disclosure is not limited to the particular aspects of the process, machine, manufacture, composition of matter, means, methods and acts described above. The processes, machines, manufacture, compositions of matter, means, methods, or acts, presently existing or later to be developed that perform substantially the same function or achieve substantially the same result as the corresponding aspects described herein may be utilized. Accordingly, the appended claims are intended to include within their scope such processes, machines, manufacture, compositions of matter, means, methods, or acts.
The previous description of the disclosed aspects is provided to enable any person skilled in the art to make or use the present disclosure. Various modifications to these aspects will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other aspects without departing from the scope of the disclosure. Thus, the present disclosure is not intended to be limited to the aspects shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.
The foregoing description has been presented for purposes of illustration and description. Furthermore, this description is not intended to limit the embodiments of the disclosure to the form disclosed herein. Although a number of example aspects and embodiments have been discussed above, a person of ordinary skill in the art will recognize certain variations, modifications, alterations, additions, and subcombinations thereof.

Claims (10)

1. The method for acquiring the joint information in the deep metal ore granite rock is characterized by comprising the following steps of:
drilling N object exploratory holes in a preset area; n is more than or equal to 2;
q rock cores with different depths are obtained from each object exploratory hole;
preparing Q first rock samples from Q rock cores;
processing the Q first rock samples to obtain Q second rock samples; joints with different preset angles are respectively arranged in the Q second rock samples;
E first temperature values in each object detection hole are obtained;
e pieces of first resistivity data of each second rock sample after being heated in E pieces of first temperature values for preset time periods are obtained;
acquiring a fitting curve corresponding to each second rock sample based on E pieces of first resistivity data;
acquiring a fitting formula and a resistivity change rule chart based on the Q fitting curves;
p pieces of second resistivity data between adjacent geophysical prospecting holes are obtained;
obtaining a resistivity cloud picture based on the P pieces of second resistivity data;
judging whether a resistivity abnormal region exists in the resistivity cloud picture, if so, acquiring the internal joint information of the deep metal ore granite rock based on a first preset strategy and the resistivity change rule picture; and if not, acquiring the internal joint information of the deep metal ore granite rock based on a second preset strategy and the fitting formula.
2. The method for obtaining joint information inside a deep metal ore granite rock according to claim 1, wherein said obtaining E first temperature values in each of said physical holes comprises:
acquiring E first temperature values in each object detection hole by adopting a temperature sensor according to a preset interval;
The preset interval is F, f=h/E, wherein H is the depth of the object exploratory hole;
E≥5。
3. the method for obtaining joint information inside a deep metal ore granite rock according to claim 1, wherein said obtaining E pieces of first resistivity data after each of the second rock samples is heated in E pieces of the first temperature values for a predetermined period of time, respectively, includes:
arranging E first temperature values in an ascending order to obtain a heating order;
performing heating treatment on each second rock sample based on the heating sequence, and sequentially obtaining the second rock samples at different temperatures;
testing to obtain first resistivity data for the second rock sample at different temperatures.
4. The deep metal granite rock internal joint message of claim 1The information acquisition method is characterized in that the fitting formula is as follows:
wherein,for rock resistivity>For temperature, < >>≠0,/>≠0。
5. The method for acquiring joint information inside a deep metal ore granite rock according to claim 1, wherein p=d×l;
and D is the test depth corresponding to each piece of second resistivity data, and L is the hole spacing between adjacent object detection holes.
6. The method for obtaining the internal joint information of the deep metal granite rock according to claim 1, wherein the obtaining the internal joint information of the deep metal granite rock based on the first preset strategy and the resistivity change rule map comprises:
Extracting abnormal resistivity data in the resistivity abnormal region;
based on the resistivity change rule diagram, obtaining first coordinates corresponding to each group of first mapping data;
each set of the first mapping data includes each of the abnormal resistivity data and its corresponding temperature value;
acquiring the fitting curve with the shortest distance from the first coordinate;
and taking the preset angle of the joint corresponding to the fitting curve as the joint angle between the corresponding adjacent geophysical prospecting holes.
7. The method for obtaining the internal joint information of the deep metal granite rock according to claim 1, wherein the obtaining the internal joint information of the deep metal granite rock based on the second preset strategy and the fitting formula comprises:
acquiring a second temperature value corresponding to each piece of second resistivity data based on the fitting formula;
obtaining second coordinates corresponding to each group of second mapping data based on the resistivity change rule diagram;
each set of the second mapping data includes each of the second resistivity data and its corresponding second temperature value;
acquiring the fitting curve with the shortest distance from the second coordinate;
and taking the preset angle of the joint corresponding to the fitting curve as the joint angle between the corresponding adjacent geophysical prospecting holes.
8. The method for obtaining the joint information inside the deep metal ore granite rock according to claim 6 or 7, wherein if the number of the obtained fitting curves with the shortest distance from the first coordinate is one, a preset angle of a joint corresponding to the fitting curve is taken as a joint angle between the corresponding adjacent geophysical prospecting holes;
and if the number of the obtained fitting curves with the shortest distance from the first coordinates is two, taking the preset angle of the joint corresponding to the two fitting curves as the corresponding joint angle range between the adjacent geophysical prospecting holes.
9. A prediction method for predicting a deep stratum structure, characterized in that the method for acquiring the joint information inside the deep metal ore granite rock according to any one of claims 1 to 8 further comprises:
acquiring a value range based on the joint information in the deep metal ore granite rock;
predicting the construction type of the deep stratum structure based on the value range;
wherein the value of the joint information in the deep metal ore granite rock is
When (when)When the construction type is predicted to be a first-type construction;
when (when)Predicting that the construction type is a second type construction;
When (when)Predicting that the construction type is a third type of construction;
when (when)When the construct type is predicted to be a fourth type of construct.
10. The prediction method according to claim 9, further comprising:
based on the construction type, matching corresponding execution strategies;
triggering corresponding execution operation according to the execution strategy;
if the construction type is the first type of construction, the execution strategy is a first strategy, and the execution operation comprises construction of a grout stop pad and reservation of a grout stop rock cap;
if the construction type is the second type construction, the execution strategy is a second strategy; the execution operation comprises construction grouting pads and fracturing grouting;
if the construction type is the third type construction, the execution strategy is a third strategy; the performing operation includes high pressure grouting;
if the construction type is the fourth type construction, the execution strategy is a fourth strategy; the performing operation includes low pressure grouting.
CN202410275678.4A 2024-03-12 Deep metal ore granite rock internal joint information acquisition method and prediction method Active CN117872494B (en)

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Citations (15)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
KR20000043021A (en) * 1998-12-28 2000-07-15 신승교 Method and apparatus for electrical resistance survey of bore hole from various angles
US20170219738A1 (en) * 2016-02-01 2017-08-03 Shaoxing University Method for quantitatively evaluating the anisotropy of roughness coefficient of rock joints
CN107219562A (en) * 2017-04-25 2017-09-29 中国石油天然气集团公司 A kind of method and device for determining uranium ore position of stratum
WO2020082824A1 (en) * 2018-10-25 2020-04-30 北京国双科技有限公司 Model generation method and device and lithologic identification method and device
RU2732545C1 (en) * 2019-12-11 2020-09-21 федеральное государственное бюджетное образовательное учреждение высшего образования "Московский государственный технический университет имени Н.Э. Баумана (национальный исследовательский университет)" (МГТУ им. Н.Э. Баумана) Method of geological survey of minerals
CN111781651A (en) * 2020-06-11 2020-10-16 四川中成煤田物探工程院有限公司 Karst detection method combining three geophysical prospecting methods and two geological methods
CN113325486A (en) * 2021-06-03 2021-08-31 青海省第一地质勘查院 Method, system and device for surveying tectonic altered rock type minerals under coverage area
CN114814982A (en) * 2022-06-29 2022-07-29 核工业北京地质研究院 Method for predicting favorable ore-forming part of granite uranium ore
CN114814978A (en) * 2022-04-15 2022-07-29 中国地质科学院矿产资源研究所 Granite area tungsten-tin ore exploration method based on multiple depth scales
CN115097534A (en) * 2022-07-06 2022-09-23 中国地质调查局水文地质环境地质调查中心 Method and system for identifying space morphology of dry hot rock fracturing transformation
CN115185015A (en) * 2022-07-15 2022-10-14 青海省地质调查院 Deep lithium beryllium ore exploration method
CN116258025A (en) * 2023-05-16 2023-06-13 中国地质科学院地质力学研究所 Method for simulating landslide stability of structural mixed rock based on geophysical prospecting data
CN116927793A (en) * 2023-09-07 2023-10-24 中铁十二局集团有限公司 Construction method for tunnel water-rich granite slate interbedded fracture zone
CN117148452A (en) * 2023-07-28 2023-12-01 中国地质调查局呼和浩特自然资源综合调查中心 Method for prospecting gold mine by changing rock
CN117192628A (en) * 2023-11-03 2023-12-08 北京科技大学 Deep fracture water-bearing stratum distribution identification method

Patent Citations (15)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
KR20000043021A (en) * 1998-12-28 2000-07-15 신승교 Method and apparatus for electrical resistance survey of bore hole from various angles
US20170219738A1 (en) * 2016-02-01 2017-08-03 Shaoxing University Method for quantitatively evaluating the anisotropy of roughness coefficient of rock joints
CN107219562A (en) * 2017-04-25 2017-09-29 中国石油天然气集团公司 A kind of method and device for determining uranium ore position of stratum
WO2020082824A1 (en) * 2018-10-25 2020-04-30 北京国双科技有限公司 Model generation method and device and lithologic identification method and device
RU2732545C1 (en) * 2019-12-11 2020-09-21 федеральное государственное бюджетное образовательное учреждение высшего образования "Московский государственный технический университет имени Н.Э. Баумана (национальный исследовательский университет)" (МГТУ им. Н.Э. Баумана) Method of geological survey of minerals
CN111781651A (en) * 2020-06-11 2020-10-16 四川中成煤田物探工程院有限公司 Karst detection method combining three geophysical prospecting methods and two geological methods
CN113325486A (en) * 2021-06-03 2021-08-31 青海省第一地质勘查院 Method, system and device for surveying tectonic altered rock type minerals under coverage area
CN114814978A (en) * 2022-04-15 2022-07-29 中国地质科学院矿产资源研究所 Granite area tungsten-tin ore exploration method based on multiple depth scales
CN114814982A (en) * 2022-06-29 2022-07-29 核工业北京地质研究院 Method for predicting favorable ore-forming part of granite uranium ore
CN115097534A (en) * 2022-07-06 2022-09-23 中国地质调查局水文地质环境地质调查中心 Method and system for identifying space morphology of dry hot rock fracturing transformation
CN115185015A (en) * 2022-07-15 2022-10-14 青海省地质调查院 Deep lithium beryllium ore exploration method
CN116258025A (en) * 2023-05-16 2023-06-13 中国地质科学院地质力学研究所 Method for simulating landslide stability of structural mixed rock based on geophysical prospecting data
CN117148452A (en) * 2023-07-28 2023-12-01 中国地质调查局呼和浩特自然资源综合调查中心 Method for prospecting gold mine by changing rock
CN116927793A (en) * 2023-09-07 2023-10-24 中铁十二局集团有限公司 Construction method for tunnel water-rich granite slate interbedded fracture zone
CN117192628A (en) * 2023-11-03 2023-12-08 北京科技大学 Deep fracture water-bearing stratum distribution identification method

Non-Patent Citations (2)

* Cited by examiner, † Cited by third party
Title
朱鹏瑞: "倾斜厚大矿体崩落法开采顶板围岩冒落机理与演化规律研究", 《中国博士学位论文全文数据库工程科技Ⅰ辑》, no. 7, 15 July 2019 (2019-07-15), pages 2 - 11 *
李赵阳 等: "湖北桐柏—大别山地区饰面用花岗岩成矿地质特征及开发利用", 《中国非金属矿工业导刊》, no. 5, 31 May 2021 (2021-05-31), pages 37 - 41 *

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