CN113671585B - Intelligent transient electromagnetic detection and real-time early warning method for excavation roadway - Google Patents
Intelligent transient electromagnetic detection and real-time early warning method for excavation roadway Download PDFInfo
- Publication number
- CN113671585B CN113671585B CN202110946584.1A CN202110946584A CN113671585B CN 113671585 B CN113671585 B CN 113671585B CN 202110946584 A CN202110946584 A CN 202110946584A CN 113671585 B CN113671585 B CN 113671585B
- Authority
- CN
- China
- Prior art keywords
- detection
- apparent resistivity
- section diagram
- roadway
- region
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
- 238000001514 detection method Methods 0.000 title claims abstract description 115
- 230000001052 transient effect Effects 0.000 title claims abstract description 43
- 238000000034 method Methods 0.000 title claims abstract description 40
- 238000009412 basement excavation Methods 0.000 title description 3
- 238000010586 diagram Methods 0.000 claims abstract description 55
- 230000005641 tunneling Effects 0.000 claims abstract description 46
- 238000004458 analytical method Methods 0.000 claims abstract description 11
- 230000002159 abnormal effect Effects 0.000 claims abstract description 8
- 230000015572 biosynthetic process Effects 0.000 claims abstract description 8
- 238000003786 synthesis reaction Methods 0.000 claims abstract description 8
- 238000012545 processing Methods 0.000 claims description 7
- 238000004364 calculation method Methods 0.000 claims description 6
- 238000012937 correction Methods 0.000 claims description 6
- 238000006243 chemical reaction Methods 0.000 claims description 4
- 238000004891 communication Methods 0.000 claims description 4
- 238000010835 comparative analysis Methods 0.000 claims description 3
- 238000000605 extraction Methods 0.000 claims description 3
- 239000003245 coal Substances 0.000 description 2
- 230000006978 adaptation Effects 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000011160 research Methods 0.000 description 1
- 230000035945 sensitivity Effects 0.000 description 1
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01V—GEOPHYSICS; GRAVITATIONAL MEASUREMENTS; DETECTING MASSES OR OBJECTS; TAGS
- G01V3/00—Electric or magnetic prospecting or detecting; Measuring magnetic field characteristics of the earth, e.g. declination, deviation
- G01V3/18—Electric or magnetic prospecting or detecting; Measuring magnetic field characteristics of the earth, e.g. declination, deviation specially adapted for well-logging
- G01V3/26—Electric or magnetic prospecting or detecting; Measuring magnetic field characteristics of the earth, e.g. declination, deviation specially adapted for well-logging operating with magnetic or electric fields produced or modified either by the surrounding earth formation or by the detecting device
- G01V3/28—Electric or magnetic prospecting or detecting; Measuring magnetic field characteristics of the earth, e.g. declination, deviation specially adapted for well-logging operating with magnetic or electric fields produced or modified either by the surrounding earth formation or by the detecting device using induction coils
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01V—GEOPHYSICS; GRAVITATIONAL MEASUREMENTS; DETECTING MASSES OR OBJECTS; TAGS
- G01V3/00—Electric or magnetic prospecting or detecting; Measuring magnetic field characteristics of the earth, e.g. declination, deviation
- G01V3/38—Processing data, e.g. for analysis, for interpretation, for correction
Landscapes
- Life Sciences & Earth Sciences (AREA)
- Engineering & Computer Science (AREA)
- Remote Sensing (AREA)
- Physics & Mathematics (AREA)
- Environmental & Geological Engineering (AREA)
- Geology (AREA)
- General Life Sciences & Earth Sciences (AREA)
- General Physics & Mathematics (AREA)
- Geophysics (AREA)
- Electromagnetism (AREA)
- Geophysics And Detection Of Objects (AREA)
Abstract
The invention discloses an intelligent transient electromagnetic detection and real-time early warning method for a driving tunnel, which adopts portable transient electromagnetic detection equipment to detect the head position and two side walls of the current tunnel in an intermittent period and transmits detection data to a computer on the ground; further generating an apparent resistivity section diagram obtained by the current detection; according to the distribution condition of the apparent resistivity value R, carrying out dangerous area division on the apparent resistivity profile; when the heading machine enters the intermittent period again, repeating the processes to obtain the apparent resistivity section diagram of the current detection, and performing synthesis analysis on the apparent resistivity section diagram of the current detection and the apparent resistivity section diagram obtained last time to finally obtain a synthesized apparent resistivity section diagram; repeating the steps for multiple times, and finally importing the apparent resistivity section diagram obtained in each intermission period and the risk level of each divided area into the corresponding position of the model for real-time display and update; therefore, real-time early warning is carried out on the abnormal geological structure in the head-on front in the tunneling process of the roadway.
Description
Technical Field
The invention relates to a mine geophysical detection method, in particular to an intelligent transient electromagnetic detection and real-time early warning method for a driving roadway.
Background
In the existing coal mine in use, in order to ensure the safe tunneling of the tunnel and prevent the occurrence of water damage accidents, the advanced detection work in front of the tunneling head of the tunnel must be done. The mine transient electromagnetic method has the advantages of sensitivity to low-resistance body reaction and portability and high efficiency of the multi-turn small loop device, and is widely applied to the advanced detection process of coal mine tunneling.
For the existing transient electromagnetic advanced detection technology, transient electromagnetic advanced detection requires a geophysical prospecting person to carry equipment to enter a head to carry out detection, data are transmitted to the ground after each detection is finished, and then manual data processing is carried out on the ground. For the head-on in the process of tunneling, as the roadway is continuously tunneled, geophysical prospecting personnel need to repeatedly enter the field, time and labor are consumed, and the tunneling efficiency is seriously influenced. Moreover, each detection explains the range of nearly one hundred meters, and the detection results of multiple times lack joint contrast analysis, so that the relevance of the detection results of different times is poor. Moreover, the interpretation and analysis result cannot be fed back to the site in real time, and finally the guidance on the work in the roadway tunneling direction is not strong in the actual work. Therefore, how to provide a method can enable the detection result to be fed back to the field in real time, and each detection can be compared and optimized and updated, so that the real-time performance and accuracy of the detection are finally effectively guaranteed, and the method is a research direction in the industry.
Disclosure of Invention
Aiming at the problems in the prior art, the invention provides an intelligent transient electromagnetic detection and real-time early warning method for a driving tunnel, which can feed the detection result back to the site in real time, and can compare and optimally update each detection, thereby finally effectively ensuring the real-time performance and the accuracy of the detection.
In order to achieve the purpose, the invention adopts the technical scheme that: an intelligent transient electromagnetic detection and real-time early warning method for a driving tunnel comprises the following specific steps:
the method comprises the following steps that firstly, a tunneling machine is formed by alternately and circularly tunneling periods and intermittent periods in the tunneling process of a roadway, a tunneling worker takes down portable transient electromagnetic detection equipment placed on the tunneling machine during each intermittent period, then the front side of a coil of the portable transient electromagnetic detection equipment faces one side wall of the roadway, and the coil is fixed at the head-on position of the roadway after being unfolded;
step two, retreating the heading machine by a certain distance relative to the head to prevent the heading machine from generating serious interference on a detection result;
step three, opening the portable transient electromagnetic detection equipment to start to perform primary transient electromagnetic detection on the side wall of the front face of the coil, rotating the front face of the coil of the portable transient electromagnetic detection equipment by 15 degrees by taking the direction perpendicular to the top and bottom plates of the roadway as an axis, and then performing primary transient electromagnetic detection again, repeating the above steps, wherein the detection is performed once after the rotation of 15 degrees, until the front face of the coil rotates by 180 degrees, the front face of the coil passes through the head-on front of the roadway from the side wall of the roadway to the other side wall of the roadway, and the whole detection process is completed;
step four, the portable transient electromagnetic detection equipment transmits transient electromagnetic secondary induced electromotive force data obtained by each detection in the whole detection process to a computer on the ground for storage through an underground communication network;
step five, the computer automatically processes the detection data by calling software in the database and generates an image; the specific automatic processing process comprises data reading and format conversion, data processing and multi-channel extraction, apparent resistivity calculation and timely deep inversion, and finally correction to generate an apparent resistivity section diagram, and the apparent resistivity section diagram is stored in a database and displayed on a display screen of a computer; wherein the apparent resistivity calculation formula is as follows:
in the formula: k is a correction coefficient, and is determined according to the complexity of the detection field environment, and the value range is 1.0-1.5;
mu is magnetic conductivity;
n is the number of turns of the coil;
i is a supply current;
s is the equivalent area of the receiving coil;
Sfis the area of the transmit coil;
t is the observation time;
step six, according to the distribution condition of the apparent resistivity value R, carrying out dangerous area division on the apparent resistivity sectional diagram, and determining the dangerous grade of each area, namely I grade, II grade and III grade; the specific risk grade division standard of each region is as follows:
setting Rmax as the maximum apparent resistivity value in the apparent resistivity section diagram, and Rmin as the minimum apparent resistivity value in the apparent resistivity section diagram;
if R in the current region is less than or equal to 0.2(Rmax-Rmin) + Rmin, determining the region as a I level, namely a dangerous region;
if 0.2(Rmax-Rmin) + Rmin ≦ R ≦ 0.5(Rmax-Rmin) + Rmin in the current region, determining the region as a II-level, namely a suspicious region;
if R in the current region is more than or equal to 0.5(Rmax-Rmin) + Rmin, determining the region as a III grade, namely a safety region;
seventhly, after the detection analysis of the intermittent period is completed, the tunneling machine continues to enter the tunneling period for tunneling for 30-50 m, then enters the intermittent period again, the first step to the fifth step are repeated at the moment, the apparent resistivity section diagram of the current detection is obtained, grid position matching synthesis analysis is carried out on the apparent resistivity section diagram of the current detection and the apparent resistivity section diagram obtained at the last time, the average value of the resistance values of each corresponding area of the apparent resistivity section diagram of the current detection and the apparent resistivity section diagram of the last time is taken as the resistance value of each corresponding area after synthesis, and finally the synthesized apparent resistivity section diagram is obtained; repeating the step six on the synthesized apparent resistivity section diagram to divide dangerous areas and determining the danger level of each area; repeating the steps, performing transient electromagnetic detection on the tunneling head in each intermittent period, optimizing the resistance value of each region in the sectional diagram once every detection, and updating the danger level of each region; with the increase of the detection times, the danger level divided by each area is more credible, and the detection position of the actual danger area is more accurate;
and step eight, constructing an underground three-dimensional geographic information space model by using the GIS, and importing the apparent resistivity section diagram obtained in each intermittent period in the step seven and the danger grade of each divided region into the corresponding position of the model to be displayed and updated in real time, so that real-time early warning is carried out on the head-on front abnormal geological structure in the tunneling process of the single roadway according to the danger grade condition of each region.
Further, if the condition that a plurality of tunnels are tunneled simultaneously exists, the steps from one step to eight are repeated for each tunnel respectively, and the danger level conditions of each region in front of the tunneling head of each tunnel are synthesized to carry out mutual comparative analysis, so that geological apparent resistivity information in a larger range can be obtained, the detection overlapping region is larger, and the detection precision and the real-time performance of the abnormal geological structure in front of the tunneling head of each tunnel are finally ensured.
Compared with the prior art, the invention adopts portable transient electromagnetic detection equipment to detect the head-on position and two side walls of the current roadway by one-time rotation of 180 degrees in the intermittent period of roadway excavation; after the detection is finished, the transient electromagnetic secondary induced electromotive force data obtained by detection is transmitted to a computer on the ground through a communication network; the computer automatically processes the detection data by calling software in the database and generates an apparent resistivity profile obtained by the current detection; according to the distribution condition of the apparent resistivity value R, carrying out dangerous area division on the apparent resistivity profile according to a set division standard, and determining the danger level of each area; after the detection analysis of the intermittent period is completed, the heading machine enters the intermittent period again after entering the heading period, the process is repeated at the moment to obtain an apparent resistivity section diagram of the current detection, and the apparent resistivity section diagram of the current detection and the apparent resistivity section diagram obtained at the last time are subjected to synthesis analysis to finally obtain a synthesized apparent resistivity section diagram; repeating the steps, performing transient electromagnetic detection on the tunneling head in each intermittent period, optimizing the resistance value of each region in the sectional diagram once every detection, and updating the danger level of each region; with the increase of the detection times, the danger level divided by each area is more credible, and the detection position of the actual danger area is more accurate; finally, the computer utilizes the GIS to construct an underground three-dimensional geographic information space model, and introduces the apparent resistivity section diagram obtained in each intermission period and the danger level of each divided region into the corresponding position of the model for real-time display and update; therefore, real-time early warning is carried out on the head-on front abnormal geological structure in the single roadway tunneling process according to the danger level conditions of all the areas, and the real-time performance and the accuracy of detection are effectively guaranteed finally.
Drawings
Fig. 1 is a layout diagram of the portable transient electromagnetic detection device in use according to the present invention.
FIG. 2 is a sectional view of apparent resistivity after dividing a dangerous area in the present invention.
Detailed Description
The present invention will be further explained below.
As shown in fig. 1, the method comprises the following specific steps:
the method comprises the following steps that firstly, a tunneling machine is formed by alternately and circularly tunneling periods and intermittent periods in the tunneling process of a roadway, a tunneling worker takes down portable transient electromagnetic detection equipment placed on the tunneling machine during each intermittent period, then the front side of a coil of the portable transient electromagnetic detection equipment faces one side wall of the roadway, and the coil is fixed at the head-on position of the roadway after being unfolded;
step two, retreating the heading machine by a certain distance relative to the head to prevent the heading machine from generating serious interference on a detection result;
step three, opening the portable transient electromagnetic detection equipment to start to perform primary transient electromagnetic detection on the side wall of the front face of the coil, rotating the front face of the coil of the portable transient electromagnetic detection equipment by 15 degrees by taking the direction perpendicular to the top and bottom plates of the roadway as an axis, and then performing primary transient electromagnetic detection again, repeating the above steps, wherein the detection is performed once after the rotation of 15 degrees, until the front face of the coil rotates by 180 degrees, the front face of the coil passes through the head-on front of the roadway from the side wall of the roadway to the other side wall of the roadway, and the whole detection process is completed;
step four, the portable transient electromagnetic detection equipment transmits transient electromagnetic secondary induced electromotive force data obtained by each detection in the whole detection process to a computer on the ground for storage through an underground communication network;
step five, the computer automatically processes the detection data by calling software in the database and generates an image; the specific automatic processing process comprises data reading and format conversion, data processing and multi-channel extraction, apparent resistivity calculation and timely deep inversion, and finally correction to generate an apparent resistivity section diagram, and the apparent resistivity section diagram is stored in a database and displayed on a display screen of a computer; wherein the apparent resistivity calculation formula is as follows:
in the formula: k is a correction coefficient, and is determined according to the complexity of the detection field environment, and the value range is 1.0-1.5;
mu is magnetic conductivity;
n is the number of turns of the coil;
i is a supply current;
s is the equivalent area of the receiving coil;
Sfis the area of the transmit coil;
t is the observation time;
step six, according to the distribution condition of the apparent resistivity value R, carrying out dangerous area division on the apparent resistivity sectional diagram, and determining the dangerous grade of each area, namely I grade, II grade and III grade, as shown in figure 2; the specific risk grade division standard of each region is as follows:
setting Rmax as the maximum apparent resistivity value in the apparent resistivity section diagram, and Rmin as the minimum apparent resistivity value in the apparent resistivity section diagram;
if R in the current region is less than or equal to 0.2(Rmax-Rmin) + Rmin, determining the region as a I level, namely a dangerous region;
if 0.2(Rmax-Rmin) + Rmin ≦ R ≦ 0.5(Rmax-Rmin) + Rmin in the current region, determining the region as a II-level, namely a suspicious region;
if R in the current region is more than or equal to 0.5(Rmax-Rmin) + Rmin, determining the region as a III grade, namely a safety region;
seventhly, after the detection analysis of the intermittent period is completed, the tunneling machine continues to enter the tunneling period for tunneling for 30-50 m, then enters the intermittent period again, the first step to the fifth step are repeated at the moment, the apparent resistivity section diagram of the current detection is obtained, grid position matching synthesis analysis is carried out on the apparent resistivity section diagram of the current detection and the apparent resistivity section diagram obtained at the last time, the average value of the resistance values of each corresponding area of the apparent resistivity section diagram of the current detection and the apparent resistivity section diagram of the last time is taken as the resistance value of each corresponding area after synthesis, and finally the synthesized apparent resistivity section diagram is obtained; repeating the step six on the synthesized apparent resistivity section diagram to divide dangerous areas and determining the danger level of each area; repeating the steps, performing transient electromagnetic detection on the tunneling head in each intermittent period, optimizing the resistance value of each region in the sectional diagram once every detection, and updating the danger level of each region; with the increase of the detection times, the danger level divided by each area is more credible, and the detection position of the actual danger area is more accurate;
and step eight, constructing an underground three-dimensional geographic information space model by using the GIS, and importing the apparent resistivity section diagram obtained in each intermittent period in the step seven and the danger grade of each divided region into the corresponding position of the model to be displayed and updated in real time, so that real-time early warning is carried out on the head-on front abnormal geological structure in the tunneling process of the single roadway according to the danger grade condition of each region.
As an improvement of the invention, if the condition that a plurality of tunnels are tunneled towards the same or different directions simultaneously exists, the steps from one to eight are respectively repeated for each tunnel, and the danger level conditions of each region in front of the tunneling head of each tunnel are synthesized to carry out mutual comparative analysis, so that the geological apparent resistivity information in a larger range can be obtained, the detection superposition region is larger, and the detection precision and the real-time performance of the abnormal geological structure in front of the tunneling head of each tunnel are finally ensured.
The above description is only of the preferred embodiments of the present invention, and it should be noted that: it will be apparent to those skilled in the art that various modifications and adaptations can be made without departing from the principles of the invention and these are intended to be within the scope of the invention.
Claims (2)
1. An intelligent transient electromagnetic detection and real-time early warning method for a driving roadway is characterized by comprising the following specific steps:
the method comprises the following steps that firstly, a tunneling machine is formed by alternately and circularly tunneling periods and intermittent periods in the tunneling process of a roadway, a tunneling worker takes down portable transient electromagnetic detection equipment placed on the tunneling machine during each intermittent period, then the front side of a coil of the portable transient electromagnetic detection equipment faces one side wall of the roadway, and the coil is fixed at the head-on position of the roadway after being unfolded;
step two, retreating the heading machine by a certain distance relative to the head to prevent the heading machine from generating serious interference on a detection result;
step three, opening the portable transient electromagnetic detection equipment to start to perform primary transient electromagnetic detection on the side wall of the front face of the coil, rotating the front face of the coil of the portable transient electromagnetic detection equipment by 15 degrees by taking the direction perpendicular to the top and bottom plates of the roadway as an axis, and then performing primary transient electromagnetic detection again, repeating the above steps, wherein the detection is performed once after the rotation of 15 degrees, until the front face of the coil rotates by 180 degrees, the front face of the coil passes through the head-on front of the roadway from the side wall of the roadway to the other side wall of the roadway, and the whole detection process is completed;
step four, the portable transient electromagnetic detection equipment transmits transient electromagnetic secondary induced electromotive force data obtained by each detection in the whole detection process to a computer on the ground for storage through an underground communication network;
step five, the computer automatically processes the detection data by calling software in the database and generates an image; the specific automatic processing process comprises data reading and format conversion, data processing and multi-channel extraction, apparent resistivity calculation and timely deep inversion, and finally correction to generate an apparent resistivity section diagram, and the apparent resistivity section diagram is stored in a database and displayed on a display screen of a computer; wherein the apparent resistivity calculation formula is as follows:
in the formula: k is a correction coefficient, and is determined according to the complexity of the detection field environment, and the value range is 1.0-1.5;
mu is magnetic conductivity;
n is the number of turns of the coil;
i is a supply current;
s is the equivalent area of the receiving coil;
Sfis the area of the transmit coil;
t is the observation time;
step six, according to the distribution condition of the apparent resistivity value R, carrying out dangerous area division on the apparent resistivity sectional diagram, and determining the dangerous grade of each area, namely I grade, II grade and III grade; the specific risk grade division standard of each region is as follows:
setting Rmax as the maximum apparent resistivity value in the apparent resistivity section diagram, and Rmin as the minimum apparent resistivity value in the apparent resistivity section diagram;
if R in the current region is less than or equal to 0.2(Rmax-Rmin) + Rmin, determining the region as a I level, namely a dangerous region;
if 0.2(Rmax-Rmin) + Rmin < R ≦ 0.5(Rmax-Rmin) + Rmin in the current region, determining the region as a II-level, namely a suspicious region;
if R in the current region is more than 0.5(Rmax-Rmin) + Rmin, determining the region as a III grade, namely a safety region;
seventhly, after the detection analysis of the intermittent period is completed, the tunneling machine continues to enter the tunneling period for tunneling for 30-50 m, then enters the intermittent period again, the first step to the fifth step are repeated at the moment, the apparent resistivity section diagram of the current detection is obtained, grid position matching synthesis analysis is carried out on the apparent resistivity section diagram of the current detection and the apparent resistivity section diagram obtained at the last time, the average value of the resistance values of each corresponding area of the apparent resistivity section diagram of the current detection and the apparent resistivity section diagram of the last time is taken as the resistance value of each corresponding area after synthesis, and finally the synthesized apparent resistivity section diagram is obtained; repeating the step six on the synthesized apparent resistivity section diagram to divide dangerous areas and determining the danger level of each area; repeating the steps, performing transient electromagnetic detection on the tunneling head in each intermittent period, optimizing the resistance value of each region in the sectional diagram once every detection, and updating the danger level of each region; with the increase of the detection times, the danger level divided by each area is more credible, and the detection position of the actual danger area is more accurate;
and step eight, constructing an underground three-dimensional geographic information space model by using the GIS, and importing the apparent resistivity section diagram obtained in each intermittent period in the step seven and the danger grade of each divided region into the corresponding position of the model to be displayed and updated in real time, so that real-time early warning is carried out on the head-on front abnormal geological structure in the tunneling process of the single roadway according to the danger grade condition of each region.
2. The intelligent transient electromagnetic detection and real-time early warning method for the tunneling roadway according to claim 1, wherein if a plurality of roadways are tunneled simultaneously, the steps from one to eight are repeated for each roadway respectively, and the danger level conditions of each area in front of the tunneling head of each roadway are synthesized to carry out mutual comparative analysis, so that geological apparent resistivity information in a larger range can be obtained, a detection superposition area is larger, and finally the detection precision and real-time performance of abnormal geological structures in front of the tunneling head of each roadway are ensured.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110946584.1A CN113671585B (en) | 2021-08-18 | 2021-08-18 | Intelligent transient electromagnetic detection and real-time early warning method for excavation roadway |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110946584.1A CN113671585B (en) | 2021-08-18 | 2021-08-18 | Intelligent transient electromagnetic detection and real-time early warning method for excavation roadway |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN113671585A CN113671585A (en) | 2021-11-19 |
| CN113671585B true CN113671585B (en) | 2022-04-29 |
Family
ID=78543435
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202110946584.1A Active CN113671585B (en) | 2021-08-18 | 2021-08-18 | Intelligent transient electromagnetic detection and real-time early warning method for excavation roadway |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN113671585B (en) |
Families Citing this family (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115079285B (en) * | 2022-07-25 | 2022-11-08 | 北京科技大学 | Dynamic prediction method for coal bed gas outburst danger visualization area |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105093341A (en) * | 2015-07-22 | 2015-11-25 | 中石化石油工程地球物理有限公司江汉分公司 | Method and system for calculating full-time apparent resistivity of time-domain transient horizontal electric field |
| CN108398725A (en) * | 2018-01-18 | 2018-08-14 | 国网重庆市电力公司电力科学研究院 | A kind of transient electromagnetic computation of apparent resistivity method, system, device and storage medium |
| CN108416458A (en) * | 2018-01-12 | 2018-08-17 | 山东大学 | A kind of tunnel rich water rock mass Synthetic Geological Prediction Ahead of Construction method based on BP neural network |
| CN111239840A (en) * | 2020-02-25 | 2020-06-05 | 华北科技学院 | Baseplate water inrush early warning method based on high-density electrical method |
Family Cites Families (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US9551806B2 (en) * | 2013-12-11 | 2017-01-24 | Baker Hughes Incorporated | Determination and display of apparent resistivity of downhole transient electromagnetic data |
| CN107884834A (en) * | 2017-10-19 | 2018-04-06 | 中煤科工集团西安研究院有限公司 | Homologous more transient electromagnetic detecting methods |
| CN109143384B (en) * | 2018-09-27 | 2020-03-20 | 太原理工大学 | Physical simulation experiment method for detecting position of water-accumulating goaf in tunneling |
-
2021
- 2021-08-18 CN CN202110946584.1A patent/CN113671585B/en active Active
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105093341A (en) * | 2015-07-22 | 2015-11-25 | 中石化石油工程地球物理有限公司江汉分公司 | Method and system for calculating full-time apparent resistivity of time-domain transient horizontal electric field |
| CN108416458A (en) * | 2018-01-12 | 2018-08-17 | 山东大学 | A kind of tunnel rich water rock mass Synthetic Geological Prediction Ahead of Construction method based on BP neural network |
| CN108398725A (en) * | 2018-01-18 | 2018-08-14 | 国网重庆市电力公司电力科学研究院 | A kind of transient electromagnetic computation of apparent resistivity method, system, device and storage medium |
| CN111239840A (en) * | 2020-02-25 | 2020-06-05 | 华北科技学院 | Baseplate water inrush early warning method based on high-density electrical method |
Non-Patent Citations (3)
| Title |
|---|
| 岩溶隧道瞬变电磁三维超前探测技术研究;邢修举;《隧道建设》;20190228;第287-293页 * |
| 巷道掘进工作面瞬变电磁超前探测模拟及应用;吴超凡，等;《中国安全科学学报》;20120930;第121-126页 * |
| 瞬变电磁法超前探测技术在探放水方面的应用;乔永杰;《江西煤炭科技》;20181231;第83-85页 * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN113671585A (en) | 2021-11-19 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN101706585B (en) | Method for electrically forecasting danger in underground tunneling engineering | |
| CN101770038B (en) | Intelligent positioning method of mine microquake sources | |
| CN103076635B (en) | Advanced detection system and method for TBM (Tunnel Boring Machine) tunnel construction based on forward three-dimensional induced polarization | |
| CN108802417B (en) | Method and system for measuring flow speed and flow direction of water flow in multi-borehole aquifer | |
| CN106772644A (en) | mine transient electromagnetic three-component detection method | |
| CN102536196A (en) | System and method for underground attitude measurement based on laser ranging and acceleration measurement | |
| CN106772621B (en) | A kind of nearly comprehensive resistivity geological extra-forecast method | |
| CN104360395B (en) | Total space seismic data acquisition system and exploitation method above and below a kind of well | |
| CN108090665A (en) | Method is determined based on the Karst Tunnel analysis of possibility of water inrush of trapezoidal cloud model under the conditions of one-dimensional X | |
| CN109869140B (en) | Adjacent well distance measuring method based on magnetic field gradient | |
| US20230184983A1 (en) | Vector-resistivity-based real-time advanced detection method for water-bearing hazard body | |
| CN113671585B (en) | Intelligent transient electromagnetic detection and real-time early warning method for excavation roadway | |
| CN110515117A (en) | A kind of underground karst cavity detection method to be impulsed based on pile monkey with decision-tree model | |
| CN114033353B (en) | Electromagnetic positioning method and system for well track | |
| CN109115176B (en) | Movable three-dimensional laser scanning system | |
| CN202649483U (en) | Electric field constraint method mine security type full mechanized excavation machine carried geological structure detection system | |
| CN101482621A (en) | Method for monitoring acceleration of sliding posture of sliding body | |
| CN102444111B (en) | Underground cave radiography detecting method | |
| CN208568822U (en) | More drilling water-bearing layer water flow flow rate and directions measure system | |
| CN111551985A (en) | Underground karst cave detection method based on pile hammer shock and k nearest neighbor algorithm | |
| CN103176214A (en) | Electric field restraining method coal safety type fully-mechanized excavating onboard geological structure detection system and method thereof | |
| CN102508311B (en) | Tunnel advanced detection data multi-parameter spatial mapping method | |
| CN105842738A (en) | Underground target body abnormality quantitative determination method and apparatus | |
| Wei et al. | Fusing minimal unit probability integration method and optimized quantum annealing for spatial location of coal goafs | |
| CN115239108B (en) | Weak broken surrounding rock sensing method based on TBM real-time broken rock data |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |