CN107015277B - Method for detecting lithology parameters by variable depth sensor of drilling seismic source - Google Patents
Method for detecting lithology parameters by variable depth sensor of drilling seismic source Download PDFInfo
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- CN107015277B CN107015277B CN201710371773.4A CN201710371773A CN107015277B CN 107015277 B CN107015277 B CN 107015277B CN 201710371773 A CN201710371773 A CN 201710371773A CN 107015277 B CN107015277 B CN 107015277B
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- 238000005553 drilling Methods 0.000 title claims abstract description 28
- 238000000034 method Methods 0.000 title claims abstract description 13
- 238000001514 detection method Methods 0.000 claims abstract description 12
- 239000011435 rock Substances 0.000 claims description 11
- 238000010276 construction Methods 0.000 abstract description 4
- 238000004880 explosion Methods 0.000 abstract description 3
- 239000003245 coal Substances 0.000 abstract description 2
- 230000008901 benefit Effects 0.000 description 3
- 239000012530 fluid Substances 0.000 description 3
- 239000011148 porous material Substances 0.000 description 3
- 230000002159 abnormal effect Effects 0.000 description 2
- 238000007405 data analysis Methods 0.000 description 2
- 239000002360 explosive Substances 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000015572 biosynthetic process Effects 0.000 description 1
- 230000005284 excitation Effects 0.000 description 1
- 230000000644 propagated effect Effects 0.000 description 1
- 230000007704 transition Effects 0.000 description 1
Classifications
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01V—GEOPHYSICS; GRAVITATIONAL MEASUREMENTS; DETECTING MASSES OR OBJECTS; TAGS
- G01V1/00—Seismology; Seismic or acoustic prospecting or detecting
- G01V1/40—Seismology; Seismic or acoustic prospecting or detecting specially adapted for well-logging
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01V—GEOPHYSICS; GRAVITATIONAL MEASUREMENTS; DETECTING MASSES OR OBJECTS; TAGS
- G01V1/00—Seismology; Seismic or acoustic prospecting or detecting
- G01V1/40—Seismology; Seismic or acoustic prospecting or detecting specially adapted for well-logging
- G01V1/44—Seismology; Seismic or acoustic prospecting or detecting specially adapted for well-logging using generators and receivers in the same well
- G01V1/48—Processing data
- G01V1/50—Analysing data
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01V—GEOPHYSICS; GRAVITATIONAL MEASUREMENTS; DETECTING MASSES OR OBJECTS; TAGS
- G01V2210/00—Details of seismic processing or analysis
- G01V2210/10—Aspects of acoustic signal generation or detection
- G01V2210/12—Signal generation
- G01V2210/121—Active source
- G01V2210/1216—Drilling-related
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01V—GEOPHYSICS; GRAVITATIONAL MEASUREMENTS; DETECTING MASSES OR OBJECTS; TAGS
- G01V2210/00—Details of seismic processing or analysis
- G01V2210/10—Aspects of acoustic signal generation or detection
- G01V2210/16—Survey configurations
- G01V2210/163—Cross-well
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01V—GEOPHYSICS; GRAVITATIONAL MEASUREMENTS; DETECTING MASSES OR OBJECTS; TAGS
- G01V2210/00—Details of seismic processing or analysis
- G01V2210/60—Analysis
- G01V2210/61—Analysis by combining or comparing a seismic data set with other data
- G01V2210/616—Data from specific type of measurement
- G01V2210/6169—Data from specific type of measurement using well-logging
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- Physics & Mathematics (AREA)
- Life Sciences & Earth Sciences (AREA)
- Engineering & Computer Science (AREA)
- Acoustics & Sound (AREA)
- Environmental & Geological Engineering (AREA)
- Geology (AREA)
- Remote Sensing (AREA)
- General Life Sciences & Earth Sciences (AREA)
- General Physics & Mathematics (AREA)
- Geophysics (AREA)
- Geophysics And Detection Of Objects (AREA)
Abstract
The invention discloses a method for detecting lithology parameters by a drilling seismic source variable depth sensor, which is characterized by comprising the following steps: the method comprises the following steps: the first step is as follows: arranging a detector at the tail end of the drill string and receiving the wave transmitted by the drill bit; the second step is that: the three-component sensor group is arranged on the side wall of the roadway, and the three-component sensor can detect direct waves and reflected waves at the same time; the third step: starting the drilling machine; the fourth step: the detector sends a vibration signal transmitted by a drill bit seismic source through a drill string to the main machine of the anti-explosion geological side wall detector through the wireless transmitting module; the three-component sensor group sends the received direct wave and/or reflected wave to the host of the explosion-proof geological side wall detector through the wireless transmitting module; the fifth step: the explosion-proof geological side wall detector host machine analyzes and processes the received data to obtain a detection conclusion; the method can predict the details of the stratum structure in front of the drill bit in real time, and can be widely applied to the fields of coal mines, field oil-gas exploration, tunnel construction, seismic exploration and the like.
Description
The application is a divisional application, and the applying date of original application is 2015.04.21, and application number is
201510187917.1 invention and created name is " drilling earthquake drill bit lateral wall geological structure detection method ".
Technical field:
The present invention relates to geological structure detection methods, and in particular to drilling focus variable depth sensor detects rock parameter
Method.
Technical background:
Nature earthquake includes natural earthquake and artificial earthquake, and wherein artificial earthquake includes active earthquake and passiveseismic,
In seismic prospecting, man-made explosion is used to carry useful geological information data；Seismic wave in seismic prospecting is artificial sharp
What hair generated, as man-made explosion can be divided into two classes, and one kind is dynamite source, and another kind of is non-explosive source.Dynamite source
The seismic wave of excitation has the advantages that good pulse characteristic and energy are high, is the main shake of field oil-gas exploration earthquake-wave-exciting
Source non-explosive source falls weight formula focus, gas exploder, spark source, controlled source and drilling earthquake focus etc..
At abroad, early in 1936, weatherby just propose using drill vibration as focus to subsurface structure carry out at
The thinking of picture, since the eighties in last century, drilling earthquake (SWD, Seismic While Drilling) is gradually to grow up,
Last century the nineties, drilling earthquake, gradually to engineer application transition, form technological package from theory study, and start pair
Outer service, these systems are at present still in continuous improve.The vibration that it is generated when drill bit broken rock using in drillng operation as ground
Lower focus, the sensor by being mounted on derrick and drilling rod top, which is acquired, transmits the drill vibration signal to come up by drilling rod, and leads to
Cross direct wave and back wave figure of the geophone arrangement acquisition through the bit signal on earth-layer propagation on the survey line of ground.It can be real-time
Predict drill bit earth layer in front construction details, abnormal stratum pore fluid pressure, reduce drilling risk, determine casing it is best under
Depth is put, is had very important significance for improving drilling engineering safety with benefit.Currently, being based on horizontal drill drill bit source
Drilling earthquake lateral wall Detection Techniques have not been reported, it is therefore desirable to passively shaken based on the lateral wall of daily production extractive equipment
The geological prospecting in source is studied, and is plugged a gap.
Summary of the invention:
Technical problem to be solved by the invention is to provide drilling focus variable depth sensors to detect rock parameter method.
To solve the above-mentioned problems, the technical scheme is that, drilling focus variable depth sensor detects rock parameter
Method, characterized by the following steps:
Step 1: being arranged wave detector in drill string tail end, for receiving drill bit transmitted wave；
Step 2: by the setting of three component sensor group in tunnel lateral wall, three component sensor can be same
When detection direct wave and back wave；
Step 3: starting drilling machine；
Step 4: wave detector vibration signal that drill bit source is transmitted by drill string is sent to by wireless transmitter module it is anti-
Quick-fried geology lateral wall survey meter host；The direct wave received and/or back wave are passed through wireless transmitter module by three component sensor group
It is sent to explosion-proof geologic lateral wall survey meter host；
Step 5: explosion-proof geologic lateral wall survey meter host is analyzed and processed the data received,
Obtain detection conclusion；Data Analysis Services carry out as follows:
When direct wave stroke directions isomer-free, first to m three component sensor receives drill bit source signal
Direct wave, m+1 to the n-th three component sensor do not receive direct wave；Then: c1, c2, τ1, τ2, Li, can be by equation group 1.
It acquires:
Wherein: τ1For the drill bit source signal direct wave hourage that the first three component sensor receives, τ2For m tri-
The source signal direct wave hourage that component sensor receives；t1It is the received drill bit source signal of wave detector in drill string
Propagation time；Δt1For the first three component sensor received drill bit source signal direct wave hourage and drill bit source signal
In the time difference in drill string propagation time, Δ t2For m three component sensor received drill bit source signal direct wave hourage
With drill bit source signal in the time difference in the propagation time of drill string, i is the sensor serial number arranged from face to lateral wall, i=
1,2 ... m, LiFor drill bit source with i-th of three component sensor at a distance from vertical direction, L1For drill bit source and the one or three point
Distance of the quantity sensor in vertical direction, L0For three component sensor spacing, X1For the three component sensor depth of burying, X2To open
Adopt span length；c1For drill bit source to the linear distance of the first three component sensor, c2It is passed for drill bit source to m three-component
The linear distance of sensor；First three component sensor is that three-component nearest with drill bit distance in three component sensor group passes
Sensor；N-th three component sensor is that three component sensor farthest with drill bit distance in three component sensor group.
The present invention using the vibration generated when drill bit broken rock in drillng operation as subsurface source, by be mounted on derrick and
The sensor acquisition on drilling rod top transmits the drill vibration signal to come up, and one by being mounted on tunnel lateral wall group three by drilling rod
Component sensor detects the direct wave and back wave of the bit signal through coming on earth-layer propagation simultaneously, can predict in real time in front of drill bit
The details of stratigraphic structure, predicted anomaly formation pore fluid pressure reduce drilling risk, determine the best decentralization depth of casing.
The jth three component sensor depth of burying in three component sensor group is become into X3, j≤m；X3> X1；When jth three is divided
When quantity sensor receives reflection wave signal, illustrate that effective search coverage has isomers；Then:
Then b3, b4, c5, τ5, τ6, Y0It can 3. be acquired by equation group:
Wherein: Y0For isomers diameter；1≤j≤n；τ5It is the received drill bit source signal of jth three component sensor in γ5
Direction back wave hourage, τ6It is the received drill bit source signal of jth three component sensor in γ4When direction back wave is travelled
Between, Δ t5For the received γ of jth three component sensor5Direction back wave hourage and drill bit source signal are when drill string is propagated
Between time difference, Δ t6For the received γ of jth three component sensor4Direction back wave hourage is boring with drill bit source signal
The time difference in column propagation time, b3For γ5Direction jth three component sensor is to bad isomers interface distance, b4For γ4Direction
Jth three component sensor is to bad isomers interface distance, c5For drill bit source to the linear distance of jth three component sensor；
γ5For the back wave and horizontal direction angle of the received isomers coboundary of jth three component sensor, γ4For jth three-component biography
The back wave and horizontal direction angle of the received isomers lower boundary of sensor.
The beneficial effect of drilling focus variable depth sensor detection rock parameter method of the present invention is: the present invention
Using the vibration generated when drill bit broken rock in drillng operation as subsurface source, by the sensing for being mounted on derrick and drilling rod top
Device acquisition transmits the drill vibration signal to come up by drilling rod, and one by being mounted on tunnel lateral wall group of three component sensor is simultaneously
The direct wave and back wave of bit signal of the detection through coming on earth-layer propagation can predict the thin of drill bit earth layer in front construction in real time
Section, abnormal stratum pore fluid pressure reduce drilling risk, determine the best decentralization depth of casing, for improving drilling engineering
Safety has very important significance with benefit；The present invention is at low cost, easy to implement, can be widely applied to coal mine, field oil gas
The fields such as exploration, tunnel construction and seismic survey.
Detailed description of the invention
Fig. 1 is that drilling focus variable depth sensor of the present invention detects rock parameter method schematic.
Fig. 2 is the detection principle figure when direct wave stroke directions isomer-free.
Fig. 3 is that the jth three component sensor Aj depth of burying in three component sensor group is become X3Detection principle figure.
Specific embodiment
Referring to Fig. 1 to Fig. 3, the focus variable depth sensor that drills detects rock parameter method, includes the following steps:
Step 1: being arranged wave detector B in drill string tail end, for receiving drill bit transmitted wave；
Step 2: by three component sensor group A1, A2 ... ..., Am, Am+1 ... ..., An setting is in tunnel lateral wall, three points
Quantity sensor can detect direct wave and back wave simultaneously；
Step 3: starting drilling machine；
Step 4: drill bit source is sent to by the vibration signal that drill string transmits by wireless transmitter module by wave detector B
Explosion-proof geologic lateral wall survey meter host；Three component sensor group A1, A2 ... ..., Am ... ..., An by the direct wave received and/or
Back wave is sent to explosion-proof geologic lateral wall survey meter host by wireless transmitter module；
Step 5: explosion-proof geologic lateral wall survey meter host is analyzed and processed the data received,
Obtain detection conclusion；Data Analysis Services carry out as follows:
When direct wave stroke directions isomer-free, first to m three component sensor A1~Am receives drill bit source
The direct wave of signal, m+1 to n-th three component sensor Am+1~An do not receive direct wave；Then: c1, c2, τ1, τ2, Li, can
1. to be acquired by equation group:
Wherein: τ1For the drill bit source signal direct wave hourage that the first three component sensor A1 is received, τ2For m
The source signal direct wave hourage that three component sensor Am is received；t1Exist for the received drill bit source signal of wave detector B
The propagation time of drill string；Δt1For the first three component sensor A1 received drill bit source signal direct wave hourage and drill bit
Source signal is in the time difference in drill string propagation time, Δ t2It is through for the received drill bit source signal of m three component sensor Am
In the time difference in the propagation time of drill string, i is the sensing arranged from face to lateral wall for wave hourage and drill bit source signal
Device serial number, i=1,2 ... m, LiFor drill bit source with i-th of three component sensor at a distance from vertical direction, L1For drill bit source
With the first three component sensor A1 at a distance from vertical direction, L0For three component sensor spacing, X1It is embedded for three component sensor
Depth, X2To exploit span length；c1For drill bit source to the linear distance of the first three component sensor A1, c2For drill bit source
To the linear distance of m three component sensor Am；First three component sensor A1 be three component sensor group in drill bit distance
That nearest three component sensor；N-th three component sensor An be in three component sensor group with farthest that of drill bit distance
A three component sensor.
The jth three component sensor Aj depth of burying in three component sensor group is become into X3, j≤m；X3> X1；When jth three
When component sensor Aj receives reflection wave signal, illustrate that effective search coverage has isomers；Then:
Then b3, b4, c5, τ5, τ6, Y0It can 3. be acquired by equation group:
Wherein: Y0For isomers diameter；1≤j≤n；τ5Exist for the received drill bit source signal of jth three component sensor Aj
γ5Direction back wave hourage, τ6It is the received drill bit source signal of jth three component sensor Aj in γ4Direction back wave trip
Row time, Δ t5For the received γ of jth three component sensor Aj5Direction back wave hourage and drill bit source signal are in drill string
The time difference in propagation time, Δ t6For the received γ of jth three component sensor Aj4Direction back wave hourage and drill bit source
Time difference of the signal in the drill string propagation time, b3For γ5Direction jth three component sensor Aj is to bad isomers interface distance, b4
For γ4Direction jth three component sensor Aj is to bad isomers interface distance, c5For drill bit source to jth three component sensor
Linear distance；γ5For the back wave and horizontal direction angle of the received isomers coboundary jth three component sensor Aj, γ4For
The back wave and horizontal direction angle of the received isomers lower boundary of jth three component sensor Aj.
Claims (1)
1. the focus variable depth sensor that drills detects rock parameter method, characterized by the following steps:
Step 1: being arranged wave detector (B) in drill string tail end, for receiving drill bit transmitted wave；
Step 2: being arranged three component sensor group (A1, A2 ... ..., Am, Am+1 ... ..., An) in tunnel lateral wall, three-component
Sensor can detect direct wave and back wave simultaneously；
Step 3: starting drilling machine；
Step 4: wave detector (B) vibration signal that drill bit source is transmitted by drill string is sent to by wireless transmitter module it is anti-
Quick-fried geology lateral wall survey meter host；Three component sensor group (A1, A2 ... ..., Am ... ..., An) by the direct wave received and/or
Back wave is sent to explosion-proof geologic lateral wall survey meter host by wireless transmitter module；
Step 5: explosion-proof geologic lateral wall survey meter host is analyzed and processed the data received, detection conclusion is obtained；Data point
Analysis processing carries out as follows:
When direct wave stroke directions isomer-free, first to m three component sensor (A1~Am) receives drill bit source letter
Number direct wave, m+1 to the n-th three component sensor (Am+1~An) do not receive direct wave；Then: c1, c2, τ1, τ2, Li, can
1. to be acquired by equation group:
Wherein: τ1For the drill bit source signal direct wave hourage that the first three component sensor (A1) receives, τ2For m tri-
The source signal direct wave hourage that component sensor (Am) receives；t1For the received drill bit source signal of wave detector (B)
In the propagation time of drill string；Δt1For the first three component sensor (A1) received drill bit source signal direct wave hourage with
Drill bit source signal is in the time difference in drill string propagation time, Δ t2For the received drill bit source letter of m three component sensor (Am)
In the time difference in the propagation time of drill string, i is to arrange from face to lateral wall for number direct wave hourage and drill bit source signal
Sensor serial number, i=1,2 ... m, LiFor drill bit source with i-th of three component sensor at a distance from vertical direction, L1To bore
Head focus with the first three component sensor (A1) at a distance from vertical direction, L0For three component sensor spacing, X1For three-component biography
The sensor depth of burying, X2To exploit span length；c1For drill bit source to the linear distance of the first three component sensor (A1), c2
For drill bit source to the linear distance of m three component sensor (Am)；First three component sensor (A1) is three component sensor
That three component sensor nearest with drill bit distance in group；N-th three component sensor (An) be three component sensor group in
That farthest three component sensor of drill bit distance；
Jth three component sensor (Aj) depth of burying in three component sensor group is become into X3, j≤m；X3> X1；When jth three is divided
When quantity sensor (Aj) receives reflection wave signal, illustrate that effective search coverage has isomers；Then:
Then b3, b4, c5, τ5, τ6, Y0It can 3. be acquired by equation group:
Wherein: Y0For isomers diameter；1≤j≤n；τ5It is the received drill bit source signal of jth three component sensor (Aj) in γ5
Direction back wave hourage, τ6It is the received drill bit source signal of jth three component sensor (Aj) in γ4Direction back wave trip
Row time, Δ t5For jth three component sensor (Aj) received γ5Direction back wave hourage is boring with drill bit source signal
The time difference in column propagation time, Δ t6For jth three component sensor (Aj) received γ4Direction back wave hourage and drill bit
Time difference of the source signal in the drill string propagation time, b3For γ5Direction jth three component sensor (Aj) arrives bad isomery body interface
Distance, b4For γ4Direction jth three component sensor (Aj) arrives bad isomers interface distance, c5Divide for drill bit source to jth three
The linear distance of quantity sensor；γ5Back wave and level side for the received isomers coboundary of jth three component sensor (Aj)
To angle, γ4For the back wave and horizontal direction angle of the received isomers lower boundary of jth three component sensor (Aj).
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| Application Number | Priority Date | Filing Date | Title |
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| CN201710371773.4A CN107015277B (en) | 2015-04-21 | 2015-04-21 | Method for detecting lithology parameters by variable depth sensor of drilling seismic source |
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| CN201710371773.4A CN107015277B (en) | 2015-04-21 | 2015-04-21 | Method for detecting lithology parameters by variable depth sensor of drilling seismic source |
| CN201510187917.1A CN104749637B (en) | 2015-04-21 | 2015-04-21 | Seismic-while-drilling bit seismic focus side wall geological structure detection method |
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| CN201710371774.9A Active CN107179555B (en) | 2015-04-21 | 2015-04-21 | Seismic-while-drilling bit seismic focus side wall geological structure detection method |
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| CN108375787B (en) * | 2018-03-02 | 2023-11-14 | 西南石油大学 | Near-bit seismic source nipple for detection before gas drilling |
| US20200233113A1 (en) * | 2019-01-22 | 2020-07-23 | Saudi Arabian Oil Company | Analyzing secondary energy sources in seismic while drilling |
| CN110888156A (en) * | 2019-11-19 | 2020-03-17 | 中航勘察设计研究院有限公司 | Stratum vertical vibration response testing method |
| CN111816204B (en) * | 2020-06-18 | 2022-09-13 | 山西宏安翔科技股份有限公司 | Three-component pickup system |
| CN113311478A (en) * | 2021-05-28 | 2021-08-27 | 山东大学 | Geological detection method and system based on air gun seismic source |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101261325A (en) * | 2008-04-21 | 2008-09-10 | 中铁西南科学研究院有限公司 | Geological advanced prediction method suitable for TBM construction |
| CN201689329U (en) * | 2010-03-30 | 2010-12-29 | 煤炭科学研究总院重庆研究院 | Explosion-proof advanced geological detection remote control system |
| RU2009148981A (en) * | 2009-12-28 | 2011-07-10 | Николай Викторович Беляков (RU) | METHOD FOR REVERSED VERTICAL SEISMIC PROFILING AND DEVICE FOR ITS IMPLEMENTATION |
| CN102681004A (en) * | 2012-05-14 | 2012-09-19 | 中国矿业大学(北京) | Tunnel heading-along earthquake advanced detection device taking heading machine as earthquake focus and method thereof |
| CN103336304A (en) * | 2013-06-13 | 2013-10-02 | 中煤科工集团重庆研究院 | Remote multiple shot central control detection system and method with advanced geological detector |
| CN203324484U (en) * | 2013-06-13 | 2013-12-04 | 中煤科工集团重庆研究院 | Advanced geological detection remote multi-shot concentrated control system |
Family Cites Families (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US5050130A (en) * | 1988-10-21 | 1991-09-17 | Gas Research Institute | Signal processing to enable utilization of a rig reference sensor with a drill bit seismic source |
| JP2004346567A (en) * | 2003-05-21 | 2004-12-09 | Shimizu Corp | Method for surveying section ahead of cutting face |
| CN101798923B (en) * | 2010-03-30 | 2013-07-10 | 煤炭科学研究总院重庆研究院 | System and method for remote control coal mine evacuation working face advance detection and forecasting |
| CA2802684A1 (en) * | 2010-06-16 | 2011-12-22 | Albena Alexandrova Mateeva | Look-ahead seismic while drilling |
| CN102426384B (en) * | 2011-09-06 | 2014-06-04 | 赵永贵 | Method for detecting underground goaf and karst distribution |
| CN103576189B (en) * | 2012-07-22 | 2016-08-10 | 中国石油化工股份有限公司 | A kind of drilling earthquake direct wave group searching method |
| CN103235333B (en) * | 2013-04-11 | 2015-09-09 | 中国矿业大学 | Based on the Advance Detection of Coal Roadway tomography method of reflection slot wave signal |
-
2015
- 2015-04-21 CN CN201710371773.4A patent/CN107015277B/en active Active
- 2015-04-21 CN CN201710371774.9A patent/CN107179555B/en active Active
- 2015-04-21 CN CN201510187917.1A patent/CN104749637B/en active Active
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101261325A (en) * | 2008-04-21 | 2008-09-10 | 中铁西南科学研究院有限公司 | Geological advanced prediction method suitable for TBM construction |
| RU2009148981A (en) * | 2009-12-28 | 2011-07-10 | Николай Викторович Беляков (RU) | METHOD FOR REVERSED VERTICAL SEISMIC PROFILING AND DEVICE FOR ITS IMPLEMENTATION |
| CN201689329U (en) * | 2010-03-30 | 2010-12-29 | 煤炭科学研究总院重庆研究院 | Explosion-proof advanced geological detection remote control system |
| CN102681004A (en) * | 2012-05-14 | 2012-09-19 | 中国矿业大学(北京) | Tunnel heading-along earthquake advanced detection device taking heading machine as earthquake focus and method thereof |
| CN103336304A (en) * | 2013-06-13 | 2013-10-02 | 中煤科工集团重庆研究院 | Remote multiple shot central control detection system and method with advanced geological detector |
| CN203324484U (en) * | 2013-06-13 | 2013-12-04 | 中煤科工集团重庆研究院 | Advanced geological detection remote multi-shot concentrated control system |
Non-Patent Citations (1)
| Title |
|---|
| 矿井地震反射超前法探测煤层冲刷带的应用;胡运兵;《煤炭科学技术》;20101130;第38卷(第11期);第116-119页 |
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| CN107179555B (en) | 2018-12-18 |
| CN104749637B (en) | 2017-10-03 |
| CN107015277A (en) | 2017-08-04 |
| CN104749637A (en) | 2015-07-01 |
| CN107179555A (en) | 2017-09-19 |
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