CN111552008A - Coal mine underground geologic structure drilling refinement all-dimensional detection method - Google Patents

Coal mine underground geologic structure drilling refinement all-dimensional detection method Download PDF

Info

Publication number
CN111552008A
CN111552008A CN202010409697.3A CN202010409697A CN111552008A CN 111552008 A CN111552008 A CN 111552008A CN 202010409697 A CN202010409697 A CN 202010409697A CN 111552008 A CN111552008 A CN 111552008A
Authority
CN
China
Prior art keywords
drilling
detection
drill hole
geological
coal mine
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.)
Pending
Application number
CN202010409697.3A
Other languages
Chinese (zh)
Inventor
王选琳
周东平
郭臣业
周俊杰
蒋和财
刘柯
刘军
王凯
张翠兰
龚齐森
范彦阳
刘登峰
何华
杜晓华
王彪
王小岑
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
CHONGQING ENERGY INVESTMENT GROUP TECHNOLOGY CO LTD
Chongqing Energy Investment Group Co Ltd
Original Assignee
CHONGQING ENERGY INVESTMENT GROUP TECHNOLOGY CO LTD
Chongqing Energy Investment Group Co Ltd
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by CHONGQING ENERGY INVESTMENT GROUP TECHNOLOGY CO LTD, Chongqing Energy Investment Group Co Ltd filed Critical CHONGQING ENERGY INVESTMENT GROUP TECHNOLOGY CO LTD
Priority to CN202010409697.3A priority Critical patent/CN111552008A/en
Publication of CN111552008A publication Critical patent/CN111552008A/en
Pending legal-status Critical Current

Links

Images

Classifications

    • GPHYSICS
    • G01MEASURING; TESTING
    • G01VGEOPHYSICS; GRAVITATIONAL MEASUREMENTS; DETECTING MASSES OR OBJECTS; TAGS
    • G01V11/00Prospecting or detecting by methods combining techniques covered by two or more of main groups G01V1/00 - G01V9/00

Abstract

The invention discloses a coal mine underground geological structure drilling refinement all-dimensional detection method, which comprises the following steps: the method comprises the steps of detecting the same drill hole by adopting a mining geological drilling radar and a drill hole imager, wherein the mining geological drilling radar is used for detecting abnormal bodies of the drill hole to be detected in an all-round and large-range mode; the drilling imager is used for observing and recording the integrity of the wall of the drilling hole; step two, comparing detection results: and continuously comparing and analyzing the two detection results at the same depth by adopting an image comparison mode to obtain a comprehensive detection result and predict the geological structure condition in front of the drill hole. The method has the advantages that the two detection images obtained by the double-method detection are compared and analyzed to obtain the accurate geological structure condition of the drilling area, the geological structure condition in front of the drilling hole can be accurately predicted, the detection range is large, the precision is high, the operation is simple, the method is easy to master, the accurate analysis and prediction of the geological structure are easy to perform, and the application prospect is wide.

Description

Coal mine underground geologic structure drilling refinement all-dimensional detection method
Technical Field
The invention belongs to the technical field of application of a visual imaging technology in roadway tunneling and safety management, and particularly relates to a method for finely and comprehensively detecting underground geologic structure drilling in a coal mine.
Background
In recent years, according to related laws, regulations, standards and the like of underground safety construction production of coal mines issued by the state, the advance prejudgment of front and surrounding engineering geological conditions becomes a necessary condition for safe and efficient tunneling construction of roadways. However, at present, relatively accurate advanced geological condition prediction technologies/methods are hardly reported systematically in China, and related application cases are few, and especially, accurate/precise advanced geological structure detection prediction technologies for gas, karst and the like in coal mines/coal-penetrating tunnels are urgent and needed.
The drilling radar detection technology and the drilling imaging technology are developed rapidly in recent years, and have relatively objective effects in practical application, but the drilling radar is mainly applied to the problems of metal mine detection, underground space detection, crack detection and other mineral exploration and engineering environment, no effective application example of a system exists in the underground coal mine, the drilling imaging technology is mainly applied to the detection of the range of a plastic ring of a coal mine roadway, and no system report and application exists in the advanced detection during the tunneling of the underground coal mine roadway.
At present, a relatively complete and accurate advanced pre-judging method for geological structures applied to underground coal mines is still under exploration, methods such as a mining transient electromagnetic instrument detection technology, a seismic wave reflection method, an infrared radiation temperature measurement method, an electrical detection method and a geological radar method in other rock engineering fields are mainly adopted for prediction and forecast of front geological conditions underground, the accuracy is not high, the method is influenced by factors such as water, construction equipment and metal, the analysis of detection results has high requirements on the technical level of workers, a great deal of knowledge and experience accumulation are needed for detection graph processing, and meanwhile, the use conditions of various detection methods are different and the application fields/areas are different. Therefore, aiming at the defects and requirements of the current advanced prediction technology of underground coal mine geological structures, an efficient, accurate/precise, rapid, simple and convenient to operate, universal and omnibearing geological structure advanced detection and prediction method is urgently needed to be researched and developed.
Disclosure of Invention
The invention aims to overcome the defect of insufficient precision of advanced detection and prediction of geological structures in the prior art, and provides a fine all-dimensional detection method for underground geological structure drilling in a coal mine.
In order to achieve the above object, the present invention adopts the following scheme.
A coal mine underground geologic structure drilling refinement omnibearing detection method comprises the following steps:
the first step, double-method detection: the method comprises the steps of detecting the same drill hole by adopting a mining geological drilling radar and a drill hole imager, wherein the mining geological drilling radar is used for detecting abnormal bodies of the drill hole to be detected in an omnibearing and large range; the drilling imager is used for observing and recording the integrity of the wall of the drilling hole;
step two, comparing detection results: and continuously comparing and analyzing the two detection results at the same depth by adopting an image comparison mode to obtain a comprehensive detection result and predict the geological structure condition in front of the drill hole.
According to the invention adopting the technical scheme, the mining geological drilling radar and the drilling imager are respectively adopted to carry out omnibearing and large-range abnormal body detection and hole wall integrity detection on the drill hole, so that two parameter image data reflecting the geological structure of the body drill hole are obtained, the image data at the same depth are compared and analyzed to obtain a comprehensive detection result, and the geological structure condition in front of the drill hole can be predicted by using empirical data. The method fully utilizes the existing mature drilling detection means to obtain comprehensive and complete detection data, has the advantages of large detection range, high precision, simple operation, easy grasp, easy accurate analysis and prediction of geological structure and wide application prospect. The detection of the mining geological drilling radar and the drilling imager is not sequential, and the mining geological drilling radar and the drilling imager can be used for detection firstly, and the drilling imager can also be used for detection firstly. The detection result comparison can adopt a same-screen comparison mode, and also can adopt a comparison mode that two computers are arranged in parallel and are respectively operated to achieve basic synchronous display.
Preferably, the image comparison is performed by a computer program and the images of the two detection results are displayed simultaneously on the same display screen. The method is convenient for geological engineers to carry out image comparison analysis, improves the analysis efficiency, and ensures the accuracy of the analysis and the obtained comprehensive result.
Further preferably, the display screen has two independent display areas, and each display area correspondingly displays a detection result image. The comparison and observation are further facilitated, the convenience of image comparison is improved, and the analysis efficiency is improved.
Further preferably, the computer executing the computer program is an upper computer, and the upper computer is connected with a lower computer through a communication cable; the upper computer and the lower computer respectively read detection result data. And hardware facilities for forming analysis contrast are used for providing material basic guarantee for synchronous display of image analysis. And after the detection is finished, the storage card is taken down and is transferred to a storage area of a computer hard disk.
The invention has the advantages that two mature detection means are comprehensively applied, and the obtained two detection images are contrasted and analyzed, so that the accurate geological structure condition of a drilling area is obtained, the geological structure condition in front of a drilling hole can be accurately predicted, the detection range is large, the precision is high, the operation is simple, the control is easy, the accurate analysis and prediction of the geological structure are easy, and the application prospect is wide.
Drawings
FIG. 1 is a block flow diagram of the method of the present invention.
FIG. 2 is a schematic diagram of the hardware structure of image comparison in the method of the present invention.
Detailed Description
The invention will be further described with reference to the drawings, but the invention is not limited thereby within the scope of the embodiments described.
Referring to fig. 1 and 2, a coal mine underground geologic structure drilling refinement omnibearing detection method comprises the following steps:
the first step, double-method detection: the method comprises the steps of detecting the same drill hole by adopting a mining geological drilling radar and a drill hole imager, wherein the mining geological drilling radar is used for detecting abnormal bodies of the drill hole to be detected in an omnibearing and large range; the drilling imager is used for observing and recording the integrity of the wall of the drilling hole;
step two, comparing detection results: and continuously comparing and analyzing the two detection results at the same depth by adopting an image comparison mode to obtain a comprehensive detection result and predict the geological structure condition in front of the drill hole.
Wherein the image comparison is performed by a computer program and the images of both detection results are displayed simultaneously on the same display screen 1. The display screen 1 has two independent display areas, namely a first display area 1a and a second display area 1b, and each display area correspondingly displays a detection result image. The computer executing the computer program is an upper computer 2, the upper computer 2 is connected with the display screen 1 through a first data line 3, and the upper computer 2 is connected with a lower computer 5 through a second data line 4; the upper computer 2 and the lower computer 5 respectively read a piece of detection result data.
In practical application, the image data obtained in the detection process is stored in the corresponding memory card, and after the detection is finished, the memory card is taken down and respectively and correspondingly stored in the hard disk storage areas of the upper computer 2 and the lower computer 5.
The foregoing shows and describes the general principles and broad features of the present invention and advantages thereof. It will be understood by those skilled in the art that the present invention is not limited to the embodiments described above, which are described in the specification and illustrated only to illustrate the principle of the present invention, but that various changes and modifications may be made therein without departing from the spirit and scope of the present invention, which fall within the scope of the invention as claimed. The scope of the invention is defined by the appended claims and equivalents thereof.

Claims (4)

1. A coal mine underground geologic structure drilling refinement omnibearing detection method is characterized by comprising the following steps:
the first step, double-method detection: the method comprises the steps of detecting the same drill hole by adopting a mining geological drilling radar and a drill hole imager, wherein the mining geological drilling radar is used for detecting abnormal bodies of the drill hole to be detected in an omnibearing and large range; the drilling imager is used for observing and recording the integrity of the wall of the drilling hole;
step two, comparing detection results: and continuously comparing and analyzing the two detection results at the same depth by adopting an image comparison mode to obtain a comprehensive detection result and predict the geological structure condition in front of the drill hole.
2. The method of claim 1, wherein the image comparison is performed by a computer program and the images of the two detection results are displayed simultaneously on a same screen.
3. The method of claim 2, wherein the display screen has two independent display areas, and each display area correspondingly displays a detection result image.
4. The method for the all-dimensional fine detection of the underground coal mine geologic structure drilling hole according to claim 3, wherein the computer executing the computer program is an upper computer, and the upper computer is connected with a lower computer through a communication cable; the upper computer and the lower computer respectively read detection result data.
CN202010409697.3A 2020-05-14 2020-05-14 Coal mine underground geologic structure drilling refinement all-dimensional detection method Pending CN111552008A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202010409697.3A CN111552008A (en) 2020-05-14 2020-05-14 Coal mine underground geologic structure drilling refinement all-dimensional detection method

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202010409697.3A CN111552008A (en) 2020-05-14 2020-05-14 Coal mine underground geologic structure drilling refinement all-dimensional detection method

Publications (1)

Publication Number Publication Date
CN111552008A true CN111552008A (en) 2020-08-18

Family

ID=72002749

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202010409697.3A Pending CN111552008A (en) 2020-05-14 2020-05-14 Coal mine underground geologic structure drilling refinement all-dimensional detection method

Country Status (1)

Country Link
CN (1) CN111552008A (en)

Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103389521A (en) * 2013-07-26 2013-11-13 山东大学 In-site detection system and detection method of zonal disintegration of deep roadway surrounding rock masses
CN104831743A (en) * 2015-04-02 2015-08-12 山东大学 Assessment method of water-rich surrounding rock grouting water controlling effect
CN104880544A (en) * 2015-04-02 2015-09-02 山东大学 Method for detecting and evaluating reinforcing effect on weak surrounding rock grouting during underground construction
CN110568079A (en) * 2019-09-02 2019-12-13 西安科技大学 Roadway looseness range testing device based on acoustic image method

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103389521A (en) * 2013-07-26 2013-11-13 山东大学 In-site detection system and detection method of zonal disintegration of deep roadway surrounding rock masses
CN104831743A (en) * 2015-04-02 2015-08-12 山东大学 Assessment method of water-rich surrounding rock grouting water controlling effect
CN104880544A (en) * 2015-04-02 2015-09-02 山东大学 Method for detecting and evaluating reinforcing effect on weak surrounding rock grouting during underground construction
CN110568079A (en) * 2019-09-02 2019-12-13 西安科技大学 Roadway looseness range testing device based on acoustic image method

Non-Patent Citations (2)

* Cited by examiner, † Cited by third party
Title
张祥,王淑芬, 宇航出版社 *
钟声等: "钻孔雷达与数字摄像在地质勘探中的综合应用", 《地球物理学进展》 *

Similar Documents

Publication Publication Date Title
Li et al. An overview of ahead geological prospecting in tunneling
Liu et al. In situ observation of spalling process of intact rock mass at large cavern excavation
CN103670516B (en) A kind of recognition methods of rock burst hazard micro seismic monitoring early warning key point
Wuestefeld et al. In situ monitoring of rock fracturing using shear wave splitting analysis: an example from a mining setting
CN106248672A (en) Rock crack mode of extension recognition methods and system in a kind of on-the-spot hole based on DIC technology
CN111077583B (en) Structure activation double-parameter monitoring system and monitoring method
Song et al. Development of excavation damaged zones around a rectangular roadway under mining-induced pressure
CN107831529A (en) A kind of method for lifting tunnel advance geologic prediction accuracy rate
Zhang et al. Risk identification for coal and gas outburst in underground coal mines: A critical review and future directions
Zhao et al. Three-dimensional, real-time, and intelligent data acquisition of large deformation in deep tunnels
CN113818929A (en) Mine underground water dynamic monitoring system, control method and application
CN111552008A (en) Coal mine underground geologic structure drilling refinement all-dimensional detection method
Feng et al. Geomechanical modeling of stress and fracture distribution during contractional fault-related folding
Ou et al. Geoelectric field response characteristics analysis of floor roadway surrounding rock fracture caused due to coal seam mining
CN115577497A (en) Coal rock stability detection method and system and storable medium
CN115758515A (en) TBM tunnel unfavorable geological section intelligent support decision-making method
Dawn Technologies of ground support monitoring in block caving operations
CN114019577A (en) Method, computer equipment and medium for advanced exploration of water-rich property in front of driving face
Severin Impact of faults and fault damage zones on large open pit slopes
Xiao et al. Microseismic monitoring method of the rockburst evolution process
CN112100796A (en) Drilling track determination method and device for preventing casing in shale gas well from being damaged
Liu et al. Extraction and imaging of indicator elements for non-destructive, in-situ, fast identification of adverse geology in tunnels
Wei et al. Application of High Density Resistivity Method in Karst Exploration: A Case Study
Akbulut et al. Innovative Approach for Monitoring Underground Excavations at San Xavier Underground Mine Laboratory
Feng et al. Artificial intelligence technology in rock mechanics and rock engineering

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
RJ01 Rejection of invention patent application after publication
RJ01 Rejection of invention patent application after publication

Application publication date: 20200818