CN110531415B - Three-dimensional small fault advanced detection method utilizing influence of surrounding rock loosening ring - Google Patents
Three-dimensional small fault advanced detection method utilizing influence of surrounding rock loosening ring Download PDFInfo
- Publication number
- CN110531415B CN110531415B CN201910773665.9A CN201910773665A CN110531415B CN 110531415 B CN110531415 B CN 110531415B CN 201910773665 A CN201910773665 A CN 201910773665A CN 110531415 B CN110531415 B CN 110531415B
- Authority
- CN
- China
- Prior art keywords
- seismic
- surrounding rock
- small fault
- wave signal
- head
- 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 29
- 239000011435 rock Substances 0.000 title claims abstract description 28
- 239000003245 coal Substances 0.000 claims abstract description 37
- 238000000034 method Methods 0.000 claims abstract description 9
- 238000003384 imaging method Methods 0.000 claims abstract description 8
- 230000005284 excitation Effects 0.000 claims description 9
- 230000035939 shock Effects 0.000 claims description 7
- 238000013508 migration Methods 0.000 claims description 6
- 230000005012 migration Effects 0.000 claims description 6
- 239000006185 dispersion Substances 0.000 claims description 5
- 238000005553 drilling Methods 0.000 claims description 5
- 238000010276 construction Methods 0.000 abstract description 4
- 230000005641 tunneling Effects 0.000 abstract description 4
- 238000011161 development Methods 0.000 description 3
- 238000011160 research Methods 0.000 description 3
- 238000004088 simulation Methods 0.000 description 3
- 230000000694 effects Effects 0.000 description 2
- 238000005516 engineering process Methods 0.000 description 2
- 230000015572 biosynthetic process Effects 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 238000005755 formation reaction Methods 0.000 description 1
- 238000009434 installation Methods 0.000 description 1
- 238000012360 testing method Methods 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01V—GEOPHYSICS; GRAVITATIONAL MEASUREMENTS; DETECTING MASSES OR OBJECTS; TAGS
- G01V1/00—Seismology; Seismic or acoustic prospecting or detecting
- G01V1/28—Processing seismic data, e.g. for interpretation or for event detection
- G01V1/30—Analysis
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01V—GEOPHYSICS; GRAVITATIONAL MEASUREMENTS; DETECTING MASSES OR OBJECTS; TAGS
- G01V1/00—Seismology; Seismic or acoustic prospecting or detecting
- G01V1/28—Processing seismic data, e.g. for interpretation or for event detection
- G01V1/36—Effecting static or dynamic corrections on records, e.g. correcting spread; Correlating seismic signals; Eliminating effects of unwanted energy
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01V—GEOPHYSICS; GRAVITATIONAL MEASUREMENTS; DETECTING MASSES OR OBJECTS; TAGS
- G01V2210/00—Details of seismic processing or analysis
- G01V2210/50—Corrections or adjustments related to wave propagation
- G01V2210/51—Migration
-
- 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
- G01V2210/64—Geostructures, e.g. in 3D data cubes
- G01V2210/642—Faults
Landscapes
- Engineering & Computer Science (AREA)
- Remote Sensing (AREA)
- Physics & Mathematics (AREA)
- Life Sciences & Earth Sciences (AREA)
- Acoustics & Sound (AREA)
- Environmental & Geological Engineering (AREA)
- Geology (AREA)
- General Life Sciences & Earth Sciences (AREA)
- General Physics & Mathematics (AREA)
- Geophysics (AREA)
- Geophysics And Detection Of Objects (AREA)
Abstract
The invention discloses a three-dimensional small fault advanced detection method utilizing the influence of a surrounding rock loose circle, wherein a three-component detector is placed in the middle of the surrounding rock loose circle, reflected Love type groove waves can be converted into Love type surface waves by utilizing the surrounding rock loose circle, the Love type surface waves with strong amplitude can be received by the three-component detector and then fed back to a seismograph for recording, the seismograph performs offset imaging on seismic signals of the Love type surface waves by adopting the existing pre-stack Fresnel beam offset method according to the recorded Love type surface waves, and finally the position of a small fault in front of the head is obtained through an imaging graph. The invention has simple construction and convenient use, can accurately detect whether a small fault exists in front of the head-on and can determine the position of the small fault, thereby providing guidance for the safe tunneling of the subsequent coal roadway.
Description
Technical Field
The invention relates to a coal mine advanced detection method, in particular to a three-dimensional small fault advanced detection method utilizing the influence of a surrounding rock loose ring.
Background
According to the statistics of China coal industry Association, 2525 outbursts of 3082 coal and gas outbursts are related to geological structures, and the proportion is as high as 81.9%. And the geological formations that cause the outburst are most typically small faults, such as small faults. At present, geophysical advanced detection methods are more, and include seismic wave methods, electromagnetic methods and other methods. Seismic methods are most suitable for advanced fault prediction, with trough wave exploration being the most typical of downhole coal mines.
The feasibility numerical simulation test of the advanced detection of the front small fault by the channel wave obtains remarkable results, which are mainly reflected in that: for example, the advanced detection method of Rayleigh type trough wave coal roadway small faults, which is excited and received by a top plate and a bottom plate, is proposed by Yangtze and the like (numerical simulation of Rayleigh type trough wave advanced detection of coal roadway small faults, 2012; advanced detection method of coal roadway reflection trough waves, invented patent application No. 201711007670.6, for a thick coal seam, which is tunneled along the bottom plate or the top plate); a tangcapone and the like (TVSP advanced detection method based on a trough wave, 2018) perform a trough wave advanced detection study and the like by using a Rayleigh type trough wave perpendicular to a top plate direction through three-dimensional numerical simulation. However, the prior art still has certain disadvantages: the traditional reflection advanced detection technology has obvious effect on fault with large fall and obvious fault reflection interface, but has no obvious effect on advanced detection of small fault; secondly, the channel waves can be divided into Love channel waves and Rayleigh channel waves, the excitation condition of the Rayleigh channel waves is harsh, and when the parameters of surrounding rocks and the coal bed do not meet the excitation condition of the Rayleigh channel waves, effective signals cannot be acquired; and thirdly, the actual coal roadway tunneling geological condition is complex, loose circle influence exists around the coal roadway, the surrounding rock loose circle influence is considered by the road development (the research of mine roadway surface wave-converted transverse wave advanced detection technology, 2016), and the accuracy of the trough wave advanced detection is improved by avoiding the interference of the loose circle on the reflector wave. In addition, a two-dimensional section is considered, the actual exploration condition is a three-dimensional condition, the section direction of the top plate and the bottom plate is surrounding rock, the plane direction is a coal bed, and the loose circles in the section direction and the plane direction have difference, so that the two-dimensional section direction has limitation. In order to avoid the influence of the surrounding rock loose ring on the reflected groove wave advanced detection, the detectors are arranged in the region outside the surrounding rock loose ring by means of drilling or anchor rod construction on the coal roadway wall, so that the influence of the surrounding rock loose ring on the groove wave exploration can be effectively reduced without the surrounding rock loose ring by the received seismic waves, but the method is very difficult to implement, and needs deep drilling, deep hole installation of the detectors and other steps, so that the forward small fault of the groove wave advanced detection cannot be conveniently and quickly realized.
Disclosure of Invention
Aiming at the problems in the prior art, the invention provides a three-dimensional small fault advanced detection method utilizing the influence of a surrounding rock loose ring, which is simple in construction and convenient and fast to use, can accurately detect whether a small fault exists in front of a head-on part or not and can determine the position of the small fault, and provides guidance for the safe tunneling of a subsequent coal roadway.
In order to achieve the purpose, the invention adopts the technical scheme that: a three-dimensional small fault advanced detection method utilizing the influence of a surrounding rock loosening ring comprises the following specific steps:
A. arranging a shock excitation point on the central axis of the left wall or the right wall of the roadway and close to the head-on position, and then acquiring the range of the known surrounding rock loosening circle;
B. arranging a plurality of three-component detectors in rows at the middle position of a surrounding rock loosening ring of the left side or the right side of the roadway in a drilling mode, and then connecting each three-component detector with a seismometer to enable the seismometer to record seismic wave signals fed back by each three-component detector;
C. b, exciting SH type seismic waves by adopting a transverse wave seismic source at the shock excitation point determined in the step A, and detecting a small fault in front of the head of the coal roadway;
D. and (3) observing and analyzing seismic wave signals fed back by each three-component geophone in real time through a seismometer:
firstly, after observing a feedback seismic direct wave signal, performing inter-channel balance and intra-channel balance pretreatment on a subsequently received seismic wave signal, and if a seismic wave signal with an amplitude not lower than 1/3 of the amplitude of the direct wave and being a same-phase axis is not found, determining that no minor fault exists in a head-on front detection range;
after observing the fed-back seismic direct wave signal, performing inter-channel balance and intra-channel balance pretreatment on a subsequently received seismic wave signal, if the seismic wave signal with the amplitude not lower than 1/3 of the amplitude of the direct wave and the same-phase axis is found, analyzing the seismic wave signal, and if the seismic wave signal is linearly polarized and has a frequency dispersion characteristic, determining that the seismic wave signal is a Love type surface wave, thereby determining that a small fault exists in a detection range in front of the head;
the principle of determining the existence of the small fault according to Love surface waves is as follows: the inventor researches and discovers that the contact relationship between the coal seam loose circle and the coal seam is similar to the contact relationship between the surface covering layer and the underlying stratum, and the surface wave development is caused by the existence of the coal seam loose circle. When the Love trough waves are transmitted to the interface surface of the coal seam loose ring and the coal seam, Love surface waves are formed in the coal seam loose ring and on the surface of the complete coal seam, the energy of the Love surface waves is mainly concentrated in the coal seam loose ring, and the energy of the middle part of the loose ring is strongest.
Therefore, after SH type seismic waves are transmitted, Love type groove waves are formed in the coal seam and are transmitted to the front; if a small fault exists in front of the head-on, the Love-type trough wave can form a reflected Love-type trough wave after contacting the small fault, and the reflected Love-type trough wave returns to enter a surrounding rock loosening ring on the lateral side of the roadway and is converted into a Love-type surface wave; if no small fault exists in front of the head, the reflected Love-type groove wave and the converted Love-type surface wave cannot be formed; thus, Love-type surface waves are characteristic waves of whether small faults exist or not. In addition, after being received by the three-component detector, the Love-type surface wave is shown as a same-phase axis in seismograph recording and has a frequency dispersion characteristic, and the seismic wave signals of the three components are linearly polarized.
E. And D, performing migration imaging on the seismic wave signals determined as Love type surface waves in the step D by utilizing a known pre-stack Fresnel beam migration method, and then obtaining the position of the small fault in front of the head according to an imaging graph.
In the prior art, estimation is mainly carried out on the influence of a surrounding rock loosening ring on seismic waves so as to remove the influence of the surrounding rock loosening ring on detection, or the geophone is kept away from the surrounding rock loosening ring as far as possible to receive the seismic waves. The invention has simple construction and convenient use, can accurately detect whether a small fault exists in front of the head-on and can determine the position of the small fault, thereby providing guidance for the safe tunneling of the subsequent coal roadway.
Drawings
FIG. 1 is a schematic diagram of the position layout of a three-component detector according to the present invention;
fig. 2 is a top sectional view of fig. 1.
In the figure: 1. roadway, 2, three-component detector, 3, surrounding rock loosening ring, 4, shock excitation point, 5, head-on, 6 and small fault.
Detailed Description
The present invention will be further explained below.
As shown in the figure, the right side of fig. 1 is taken as the front side for description, and the specific steps of the invention are as follows:
A. arranging a shock excitation point on the central axis of the left upper or the right upper of the roadway 1 and close to the head-on position 5, and then acquiring the range of the known surrounding rock loosening ring 3;
B. arranging a plurality of three-component detectors 2 (namely, the detectors with X, Y, Z component receiving functions) in rows at the middle positions of surrounding rock loosening rings 3 on the left side or the right side of a roadway 1 in a drilling mode, and then connecting each three-component detector 2 with a seismometer to enable the seismometer to record seismic wave signals fed back by each three-component detector 2;
C. b, exciting SH type seismic waves by adopting a transverse wave seismic source at the shock excitation point 4 determined in the step A, and detecting a small fault 6 in front of the head of the coal roadway; the range of the front of each detection is 80-150 m;
D. and (3) observing and analyzing seismic wave signals fed back by each three-component geophone in real time through a seismometer:
firstly, after observing a feedback seismic direct wave signal, performing inter-channel balance and intra-channel balance pretreatment on a subsequently received seismic wave signal, and if a seismic wave signal with an amplitude not lower than 1/3 of the amplitude of the direct wave and being a same-phase axis is not found, determining that no small fault 6 exists in a detection range in front of a head 5;
after observing the fed-back seismic direct wave signal, performing inter-channel balance and intra-channel balance pretreatment on a subsequently received seismic wave signal, if the seismic wave signal with the amplitude not lower than 1/3 of the amplitude of the direct wave and the same-phase axis is found, analyzing the seismic wave signal, and if the seismic wave signal is linearly polarized and has a frequency dispersion characteristic, determining that the seismic wave signal is a Love type surface wave, thereby determining that a small fault 6 exists in a detection range in front of the head;
the principle of determining the existence of the small fault 6 according to Love type surface waves is as follows: the inventor researches and discovers that the contact relationship between the coal seam loose circle and the coal seam is similar to the contact relationship between the surface covering layer and the underlying stratum, and the surface wave development is caused by the existence of the coal seam loose circle. When the Love trough waves are transmitted to the interface surface of the coal seam loose ring and the coal seam, Love surface waves are formed in the coal seam loose ring and on the surface of the complete coal seam, the energy of the Love surface waves is mainly concentrated in the coal seam loose ring, and the energy of the middle part of the loose ring is strongest.
Therefore, after SH type seismic waves are transmitted, Love type groove waves are formed in the coal seam and are transmitted to the front; if a small fault exists in front of the head-on, the Love-type trough wave can form a reflected Love-type trough wave after contacting the small fault, and the reflected Love-type trough wave returns to enter a surrounding rock loosening ring on the lateral side of the roadway and is converted into a Love-type surface wave; if no small fault exists in front of the head, the reflected Love-type groove wave and the converted Love-type surface wave cannot be formed; thus, Love-type surface waves are characteristic waves of whether small faults exist or not. In addition, after being received by the three-component detector, the Love-type surface wave is shown as a same-phase axis in seismograph recording and has a frequency dispersion characteristic, and the three-component Love-type surface wave is linearly polarized.
E. And D, performing migration imaging on the seismic wave signals determined as Love type surface waves in the step D by utilizing a known pre-stack Fresnel beam migration method, and then obtaining the position of the small fault 6 in front of the head 5 according to an imaging graph.
Claims (1)
1. A three-dimensional small fault advanced detection method utilizing the influence of a surrounding rock loosening ring is characterized by comprising the following specific steps:
A. arranging a shock excitation point on the central axis of the left side or the right side of the roadway and close to the head-on position; then obtaining the range of the known surrounding rock loosening ring;
B. arranging a plurality of three-component detectors in rows at the middle position of a surrounding rock loosening ring on the left side or the right side of the roadway in a drilling mode, and then connecting each three-component detector with a seismometer to enable the seismometer to record seismic wave signals fed back by each three-component detector;
C. b, exciting SH type seismic waves by adopting a transverse wave seismic source at the shock excitation point determined in the step A, and detecting a small fault in front of the head of the coal roadway;
D. and (3) observing and analyzing seismic wave signals fed back by each three-component geophone in real time through a seismometer:
firstly, after observing a feedback seismic direct wave signal, performing inter-channel balance and intra-channel balance pretreatment on a subsequently received seismic wave signal, and if a seismic wave signal with an amplitude not lower than 1/3 of the amplitude of the direct wave and being a same-phase axis is not found, determining that no minor fault exists in a head-on front detection range;
after observing the fed-back seismic direct wave signal, performing inter-channel balance and intra-channel balance pretreatment on a subsequently received seismic wave signal, if the seismic wave signal with the amplitude not lower than 1/3 of the amplitude of the direct wave and the same-phase axis is found, analyzing the seismic wave signal, and if the seismic wave signal is linearly polarized and has a frequency dispersion characteristic, determining that the seismic wave signal is a Love type surface wave, thereby determining that a small fault exists in a detection range in front of the head;
E. and D, performing migration imaging on the seismic wave signals determined as Love type surface waves in the step D by using a pre-stack Fresnel beam migration method, and then obtaining the position of the small fault in front of the head according to an imaging graph.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910773665.9A CN110531415B (en) | 2019-08-21 | 2019-08-21 | Three-dimensional small fault advanced detection method utilizing influence of surrounding rock loosening ring |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910773665.9A CN110531415B (en) | 2019-08-21 | 2019-08-21 | Three-dimensional small fault advanced detection method utilizing influence of surrounding rock loosening ring |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN110531415A CN110531415A (en) | 2019-12-03 |
| CN110531415B true CN110531415B (en) | 2020-10-30 |
Family
ID=68664057
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201910773665.9A Active CN110531415B (en) | 2019-08-21 | 2019-08-21 | Three-dimensional small fault advanced detection method utilizing influence of surrounding rock loosening ring |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN110531415B (en) |
Families Citing this family (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113138418B (en) * | 2021-04-26 | 2022-06-07 | 中国石油大学(华东) | Elastic medium undulating surface Fresnel beam offset imaging method |
| CN113960669A (en) * | 2021-10-21 | 2022-01-21 | 中国石油化工股份有限公司 | Reflection information enhancement method and device based on common imaging point gather combination calculation |
Citations (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US6147929A (en) * | 1998-03-03 | 2000-11-14 | Gas Research Institute | Method for predicting continuous and discontinuous waveguide targets using interwell seismic signature characteristics |
| CN102788991A (en) * | 2012-07-16 | 2012-11-21 | 中煤科工集团西安研究院 | High-density rapid detection method based on z-component transmitting channel waves |
| CN103217719A (en) * | 2013-04-11 | 2013-07-24 | 中国矿业大学 | Method of advanced detection of breaking-loss wing coal seam of coal road based on single offset pair observation system |
| CN103235333A (en) * | 2013-04-11 | 2013-08-07 | 中国矿业大学 | Coal roadway fault advanced-detection method based on reflecting channel wave signals |
| CN104166164A (en) * | 2014-08-08 | 2014-11-26 | 山东科技大学 | Three-component multiwave reflection three-dimensional earthquake advanced detection method for coal roadway tunneling geologic structure |
| CN105572745A (en) * | 2015-12-10 | 2016-05-11 | 北京中矿大地地球探测工程技术有限公司 | Seismic prospecting method of three-component slot waves under coalmine well |
| CN105911588A (en) * | 2016-05-16 | 2016-08-31 | 中国矿业大学 | Stope face small collapse column detection method based on diffracted wave |
| CN106019371A (en) * | 2016-05-13 | 2016-10-12 | 中国矿业大学 | Outburst coal seam roadway minor fault advanced qualitative forecast method |
| CN106680868A (en) * | 2017-01-05 | 2017-05-17 | 南京君诺鑫成网络科技有限公司 | In-seam seismic multi-attribute parameter tomographic method |
| CN107831530A (en) * | 2017-10-25 | 2018-03-23 | 山东科技大学 | High seam reflects slot wave forward probe method along bottom plate or top plate coal driving |
| CN208506263U (en) * | 2018-07-25 | 2019-02-15 | 北京思凯维科地球物理信息技术有限公司 | A kind of wave detector and advanced forecasting system for tunnel geological prediction |
-
2019
- 2019-08-21 CN CN201910773665.9A patent/CN110531415B/en active Active
Patent Citations (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US6147929A (en) * | 1998-03-03 | 2000-11-14 | Gas Research Institute | Method for predicting continuous and discontinuous waveguide targets using interwell seismic signature characteristics |
| CN102788991A (en) * | 2012-07-16 | 2012-11-21 | 中煤科工集团西安研究院 | High-density rapid detection method based on z-component transmitting channel waves |
| CN103217719A (en) * | 2013-04-11 | 2013-07-24 | 中国矿业大学 | Method of advanced detection of breaking-loss wing coal seam of coal road based on single offset pair observation system |
| CN103235333A (en) * | 2013-04-11 | 2013-08-07 | 中国矿业大学 | Coal roadway fault advanced-detection method based on reflecting channel wave signals |
| CN104166164A (en) * | 2014-08-08 | 2014-11-26 | 山东科技大学 | Three-component multiwave reflection three-dimensional earthquake advanced detection method for coal roadway tunneling geologic structure |
| CN105572745A (en) * | 2015-12-10 | 2016-05-11 | 北京中矿大地地球探测工程技术有限公司 | Seismic prospecting method of three-component slot waves under coalmine well |
| CN106019371A (en) * | 2016-05-13 | 2016-10-12 | 中国矿业大学 | Outburst coal seam roadway minor fault advanced qualitative forecast method |
| CN105911588A (en) * | 2016-05-16 | 2016-08-31 | 中国矿业大学 | Stope face small collapse column detection method based on diffracted wave |
| CN106680868A (en) * | 2017-01-05 | 2017-05-17 | 南京君诺鑫成网络科技有限公司 | In-seam seismic multi-attribute parameter tomographic method |
| CN107831530A (en) * | 2017-10-25 | 2018-03-23 | 山东科技大学 | High seam reflects slot wave forward probe method along bottom plate or top plate coal driving |
| CN208506263U (en) * | 2018-07-25 | 2019-02-15 | 北京思凯维科地球物理信息技术有限公司 | A kind of wave detector and advanced forecasting system for tunnel geological prediction |
Non-Patent Citations (1)
| Title |
|---|
| 基于SH槽波采空区探测技术研究;丁卫;《中州煤炭》;20161031(第10期);第128-132页 * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN110531415A (en) | 2019-12-03 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Griffiths et al. | Applied geophysics for geologists and engineers: the elements of geophysical prospecting | |
| Urosevic et al. | Targeting nickel sulfide deposits from 3D seismicreflection data at Kambalda, Australia | |
| CN104215934B (en) | A kind of method utilizing uphole geophone to carry out fracturing micro-seismic monitoring | |
| Götz et al. | Vertical seismic profiling using a daisy‐chained deployment of fibre‐optic cables in four wells simultaneously–Case study at the Ketzin carbon dioxide storage site | |
| CN105676279A (en) | Earthquake reflection data collection method with concentric-circle equivalent shot-geophone distance | |
| CN110531415B (en) | Three-dimensional small fault advanced detection method utilizing influence of surrounding rock loosening ring | |
| Sloan et al. | Void detection using near-surface seismic methods | |
| Brodic et al. | Three-component seismic land streamer study of an esker architecture through S-and surface-wave imaging | |
| Mari et al. | 3D seismic imaging of a near-surface heterogeneous aquifer: a case study | |
| Richter et al. | Comparison of pneumatic impact and magnetostrictive vibrator sources for near surface seismic imaging in geotechnical environments | |
| Zhou et al. | Seeing coal‐seam top ahead of the drill bit through seismic‐while‐drilling | |
| EP2917857B1 (en) | Fracture characterization from refraction travel time data | |
| CN110850472B (en) | Variable offset distance advanced fault detection method based on shock wave excitation seismic source | |
| Reiser et al. | Imaging the high-temperature geothermal field at Krafla using vertical seismic profiling | |
| CA2018421C (en) | Continuity logging using differenced signal detection | |
| CN110531419B (en) | Collapse column advanced detection method using Love surface waves | |
| Wawerzinek et al. | Performance of high-resolution impact and vibration sources for underground seismic exploration of clay formations at the scale of a rock laboratory | |
| Hammer et al. | Seismic reflection imaging of thin, kimberlite dykes and sills: exploration and deposit characterization of the Snap Lake dyke, Canada | |
| WO2017103126A1 (en) | Drilling head system with integrated acoustic source and arm which is equipped with electrodynamic detectors | |
| Lüth et al. | Seismic tomography and monitoring in underground structures: developments in the Freiberg Reiche Zeche underground lab (Freiberg, Germany) and their application in underground construction (SOUND) | |
| Kahn* et al. | Eagle ford microseismic acquisition geometry benchmark | |
| Kepic et al. | Enhancing the seismoelectric method via a virtual shot gather | |
| Gritto | Subsurface void detection using seismic tomographic imaging | |
| Riedel et al. | Seismic imaging of the Kylylahti Cu-Au-Zn ore deposit using conventional and DAS VSP measurements supported by 3D full-waveform seismic modeling | |
| Tomio et al. | High-frequency seismic measurements using a piezoelectric type accelerometer array |
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 |