CN108693561A - The coal mining seismic acquisition system and method for array are segmented based on wave detector - Google Patents
The coal mining seismic acquisition system and method for array are segmented based on wave detector Download PDFInfo
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- 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
Abstract
The present invention relates to a kind of coal mining seismic acquisition systems and method segmenting array based on wave detector.Working face is divided into multiple divided areas by the present invention using the two neighboring seismic detector string being set in deep hole, effective seismic signal will be converted into from cutting the continuous shaking noise that intraocular transmits, " void " big gun collection of high s/n ratio, high spatial resolution is obtained in divided area using multidimensional deconvolution interferometry.
Description
Technical field
The present invention relates to a kind of coal mining seismic acquisition system and methods, belong to coal mine intelligence production technique field, tool
Body is to be related to a kind of coal mining seismic acquisition system and method segmenting array based on wave detector.
Background technology
The key technology that coal mine is intelligently exploited is intelligent detecting, intelligent navigation and intelligent control, wherein " intelligent detecting " belongs to
In geophysical exploration field, it is most important technology in intelligence exploitation, is also most difficult to realize.
Intelligence exploitation is a kind of unmanned operation, recovery scheme and various operating parameters all by artificial intelligence automatic decision and
It completes, many influences little craven fault, the variation of coal thickness etc. in people-machine mining system can all make in automatic intelligent exploitation
At bigger influence.
The tradition method of seismic prospecting such as Three Dimensional Ground earthquake, underground slot wave can provide figure for the construction in working face
Picture, however be limited to seismic observation system unfavorable factors, these images such as distant at a distance from detection target and intelligence is also far not achieved
Required precision can be exploited.
Intelligence exploitation not only needs the detailed configuration information in front of working face, the information such as stress evolution of top plate and bottom plate
It is required for obtaining in time, to adjust mining operations scheme in time, achievees the purpose that safe and efficient coal mining, common seismic prospecting
Method is all static instrumentation method, can not complete this real-time detection task.
Invention content
The technical problems to be solved by the invention
Although there are some in the prior art can carry out real-time detection with detection method is adopted, it is all along working face two
Side roadway layout geophone, using coalcutter as passive source, the seismic ray of this method does not cover entire work
Face, and the angle of cut is little each other between seismic ray, is unfavorable for inversion imaging.In addition, the geophone offset of this method is bigger, it is unfavorable for visiting
Micrometer little structure.
In view of the above problems, the present invention is visited using the subdivision receiving array that geophone group in multigroup lateral aperture synthesizes
It surveys, to which coal working face is subdivided into multiple smaller search coverages, reaches the coal mine intelligently fine detection purpose of exploitation.
The present invention utilizes seismic interference side using the coal-cutting machinery noise of working face open-off cut intraocular, microseism etc. as passive source
Method converts these passive source energy to " void " the big gun collection received in network, realizes that the in-built piecemeal of working face is finely visited
It surveys.
Solve scheme used by technical problem
The above-mentioned technical problem of the present invention is mainly to be addressed by following technical proposals:
A kind of coal mining seismic acquisition system segmenting array based on wave detector, including:
Seismic detector string array, including multiple seismic detector strings, each seismic detector string are located at work
Make in the parallel deep hole arranged in face, the parallel deep hole both ends are separately connected tunnel;
Data collector connects several detector strings, and logical shielded cable accesses optical transmitter and receiver;
Wherein, working face is divided into a divided area by two neighboring seismic detector string, dry using multidimensional deconvolution
Effective seismic signal will be converted into from cutting the continuous shaking noise that intraocular transmits by relating to method, obtained in divided area high s/n ratio,
" void " big gun collection of high spatial resolution.
In at least one embodiment of the present invention, further include:Shallow bore hole wave detector in the tunnel.
In at least one embodiment of the present invention, the wave detector is placed in pushing device, and the pushing device includes
Shell for placing wave detector, a hinged backup arm on the shell, the middle part of the backup arm is hinged a backup screw rod, institute
The other end for stating backup screw rod is connected on the stroke lever of a backup motor;Also, institute is driven when the stroke lever transverse shifting
Stating backup screw rod drives at least one end of the backup arm to deviate the shell.
A kind of coal mining seismic detection method segmenting array based on wave detector, including:
Working face is divided by region division step using the seismic detector string being arranged in working face in parallel deep hole
Multiple divided areas;
Data collection steps are obtained using the coal-cutting machinery noise of working face open-off cut intraocular, microseism as passive source from cutting eye
The continuous shaking noise inside transmitted;It is converted into effective seismic signal;
Data processing step will be converted into effectively from cutting the continuous shaking noise that intraocular transmits as unit of divided area
Seismic signal obtains " void " big gun collection of high s/n ratio, high spatial resolution in divided area;
Data interpretation procedure carries out geologic interpretation based on described " void " big gun collection.
In at least one embodiment of the present invention, in the data collection steps, seismic detection after coal work stops
Device string delays scheduled duration closing, and the follow-up microseismic signals induced by coal work are recorded in delay periods.
In at least one embodiment of the present invention, it in the data processing step, is executed in each divided area
Following sub-step:
Observation system modeling sub-step, the coordinate in input service face and each wave detector, to establish observation system, in real time more
The data that fresh cut eye position promotes provide foundation for data explanation;
Working condition determines sub-step, when the kurtosis of analysing energy level and cross-correlation function is to filter out coal mining activity
The data of section, interception coal mining period carry out subsequent processing;
The anti-pleat of multidimensional interferes sub-step, will be turned from cutting the continuous shaking noise that intraocular transmits using multidimensional deconvolution interferometry
Effective seismic signal is turned to, " void " big gun collection of high s/n ratio, high spatial resolution is obtained in divided area;
Coal exploration constructs sub-step, is handled to obtain CT, slot wave frequency dispersion song in subdivision array to the empty big gun collection of transmission
It is one or more in line, comprehensive coal thickness variation;
Stress variation detects sub-step, to " void " big gun collection between single time of former and later two coal cuttings carry out coda wave interference and handle with
Obtain stress variation figure.
In at least one embodiment of the present invention, the working condition determines in sub-step, is carried out to the amplitude of data
Analysis is judged as the non-coal cutting of coalcutter when amplitude is less than threshold value;When amplitude is more than threshold value, data are grouped,
The kurtosis that cross-correlation function is sought in group is determined as coalcutter just in coal cutting, in data screening file when kurtosis is more than a threshold value
The middle record coal cutting period.
In at least one embodiment of the present invention, in the anti-pleat interference sub-step of the multidimensional,
It will be defined as one group of image shotpoint near the string for cutting eye in divided area, will be far from the string for cutting eye
It is defined as receiving point, the seismic data of the seismic data of each image shotpoint and all receiving points carries out cross-correlation and obtains initial empty big gun
Initial empty big gun collection is arranged in order by image shotpoint as a Multidimensional numerical by collection;
The seismic data of the seismic data of each image shotpoint and other image shotpoints is done into cross-correlation and obtains the point expansion of image shotpoint
Function is dissipated, point spread function is arranged in order by image shotpoint as another Multidimensional numerical;Utilize point spread function Multidimensional numerical pair
Initial void big gun collection Multidimensional numerical does multidimensional deconvolution processing, obtains final empty big gun collection Multidimensional numerical.
In at least one embodiment of the present invention, in the coal exploration construction sub-step, ART or SIRT methods are utilized
Inverting obtains the CT in subdivision array;
And/or using reflection seismic Prestack Migration Technology handle reflected waveform data, obtain search coverage in tomography at
Picture;
And/or the slot wave dispersion curve of the empty big gun collection seismic ray of extraction every, inverting obtain the thickness of the coal on every ray, it will
The coal thickness informix of every ray gets up, and the synthesis coal thickness that each region is obtained using chromatography imaging method is changed.
In at least one embodiment of the present invention, in the data interpretation procedure,
By analyzing CT images, reflected image, slot wave dispersion curve to be quantified to tomography, karst collapse col umn, the variation of coal thickness
Mark;
And/or it is based on stress variation dynamic image, combined structure weakness band and safety monitoring information, predict geological disaster;
And/or tomography, karst collapse col umn, the variation of coal thickness are drawn a circle to approve according to structural exploration result and presented with three-dimensional visualization.
Invention effect
Therefore, the invention has the advantages that:
1, a series of a kind of method that working face is integrally detected and is converted into divided areas and finely detects, detection essence are provided
Degree is far above conventional method, is very suitable for the fine intelligent detecting for solving the problems, such as intelligently to exploit.
2, using be parallel to the drilling for cutting eye lay string, and usually in tunnel receive seismic signal with fief
Shake method is compared, and what is obtained is " void " big gun collection between wave detector, and distance measurement target is closer to " void " shot point and receiving point are all
It immobilizes, the precision higher of detection pressure stress variation.
3, coda wave interference detection essence is compared using the detection of coda wave interference technique stress variation and bulk wave, slot wave etc. between hole
Higher is spent, it is very sensitive to the velocity of wave variation of medium because coda wave is a kind of wave of the Multiple Scattering in medium;Coda wave is dry between hole
It is subdivision section detection to relate to, and can further improve spatial resolution.
Description of the drawings
The coal working face and wave detector arrangement schematic diagram of Fig. 1 present invention;
The piecemeal void big gun collection ray of Fig. 2 present invention covers schematic diagram;
The deep hole string schematic diagram of Fig. 3 present invention;
The keyway hanging-connecting means for jointing rods of Fig. 4 present invention.
In figure, wave detector 1, backup motor 2, the backup back of the body 3, backup screw rod 4, key 5, slot 6.
Specific implementation mode
Below with reference to the embodiments and with reference to the accompanying drawing the technical solutions of the present invention will be further described.
Embodiment:
Geophone group in multigroup lateral aperture is combined into subdivision receiving array by the present embodiment, and coal working face is subdivided into one
A small search coverage reaches the coal mine intelligently fine detection purpose of exploitation.
The present embodiment utilizes seismic interference using the coal-cutting machinery noise of working face open-off cut intraocular, microseism etc. as passive source
Method converts these passive source energy to " void " the big gun collection received in network, realizes that the in-built piecemeal of working face is fine
Detection.
Below in conjunction with the accompanying drawings, this implementation is further illustrated.
As shown in Figure 1, the present embodiment arranges a series of parallel deep hole in working face, hole and working face to cut eye mutually equal
Row, about 100 meters of pitch of holes (detection accuracy requires higher distance between borehole smaller).Seismic detector string, tunnel spacing are arranged in hole
10 meters, the string in multiple holes collectively constitutes wave detector subdivision array, and working face is divided into detection smaller one by one
Region.Cut the coalcutter of intraocular, scratch board conveyor can send out seismic wave when mining, Sub-Level Caving, microseism etc. can also send out earthquake
Wave, these seismic energies constitute the passive source of this method.All these seismic waves in coal mining activity continuously to
Working face front and wave detector Internet communication.It is converted the seismic energy that these continuously mix to using seismic interference technology similar
" void " big gun collection of dynamite source, wave detector can be used as the wave detector shape in " void " focus, with adjacent holes in the hole close away from eye is cut
It is right at " big gun-inspection ".This method can obtain a series of result of detection of divided area between holes, because of the big gun-of this " empty big gun "
Away from closer, the working face between device to hole of having ready conditions finely is detected for inspection.
The present embodiment has studied the seismic data processing technique that array is segmented based on wave detector in hole, including multidimensional deconvolution
The coda wave interference detection method etc. of chromatography imaging technique between interference technique, hole, coal rock layer stress variation.
Seismic interference is a kind of data re-establishing method, can by geophone array record environmental noise, mechanicalness noise,
The energy of the passive sources such as a large amount of microseisms occurred at random is converted into the Green's function between different wave detectors, i.e. some of which is examined
Wave device is as shot point, and other wave detectors still act as wave detector, thus this reconstructed Green's function is also referred to as " empty big gun
Collection ", it is not the earthquake big gun collection really blown out, but essentially identical with true big gun collection.
Multidimensional deconvolution interference is a kind of new method of seismic interference, more practical than traditional cross-correlation interference technique,
Traditional cross-correlation interference technique requires passive source uniform ring around detector array, and multidimensional deconvolution interference adapts to more one
As hypocenter distributing, such as the present invention in, hypocenter distributing cannot surround detector array, and hypocenter distributing is excessively in cutting intraocular
Rule easy tos produce glitch using traditional seismic interference method.
Tomography is a kind of Detection Techniques of maturation between hole, usually utilizes 2 parallel holes, detection is installed in a hole
Device string gradually puts a row big gun in another hole, and sufficient ray alternate covering is formed to two interpore regions, finally utilizes layer
It analyses imaging technique and inversion imaging is carried out to ray overlay area.The present invention carries out hole interbed using the empty big gun collection that seismic interference obtains
Analysis imaging, thus string is all arranged in two holes, it is not only easy for construction, moreover it is possible to repeated multiple times detection.
Coda wave interference detection is a kind of new method detected to the faint variation of propagation medium using Seismic Coda, tail
Wave and direct wave, back wave etc. are different, it is a kind of seismic wave wave that Multiple Scattering is formed in medium, since Multiple Scattering passes
Path length is broadcast, is occurred the latest on seismic chart, thus is visually referred to as coda wave.Because being formed by Multiple Scattering, coda wave
Apparent velocity is significantly less than direct wave, is changed using the very indistinguishable media properties of direct wave, is then readily recognized using coda wave.
Coda wave interference refers to carrying out interference processing to the front and back coda wave recorded twice, obtains the variable quantity of coda wave then, these variable quantities
With regard to having reacted variation of the medium during front and back detection twice.
The technical solution adopted in the present invention include in lateral aperture wave detector subdivision array design installation, data acquisition with
Four transmission, data processing, data interpretation parts, are introduced separately below.
1, the design of wave detector subdivision array is installed in lateral aperture
Since it is desired that with detection is adopted, it is desirable that wave detector pipe nipple can fit closely for a long time with hole wall in hole, and the present embodiment is set
Mechanical arm pushing device is counted, backup powers off at once after stablizing, and backup arm still can close backup, and this design for a long time
It can also easily recycle, equipment can be drawn back from hole as long as connecting electricity recycling mechanical arm, as shown in Figure 3;Detection in lateral aperture
Device generally can only lean on manpower to be pushed into hole under mine, and wave detector pipe nipple can be sent into deep hole using push rod push
In, since lane space is limited, bar is designed to sectionally assembled, and the junction of bar is designed as keyway hanging-connecting, such as Fig. 4 institutes
Show, the advantages of this design is that scene assembly and disassembly speed of application is fast, moreover it is possible to increase the degree of freedom between each bar, not only avoid casing
The interference of wave can also make the more preferable by wall effect of wave detector pipe nipple.This string is all laid in multiple parallel holes, jointly
Collectively form subdivision detector array.
2, data acquisition and transmission
In working face both sides tunnel and it is parallel to arrangement wave detector (Fig. 1) in one group of deep hole for cut eye:Pacify in parallel deep hole
Installation tool backup string, wave detector are bonded close (Fig. 3) using mechanical backup arm and hole wall, are to push away between wave detector pipe nipple
Connecting rod, every bar is sent to grow 1.2 meters, bar directly connect (Fig. 4) with bar using key-slot hanging device, and not only installation and dismantling are very convenient,
This hanging device can also effectively eliminate casing wave, and bar and the loosely connected of bar can also allow the backup of wave detector adherent more
Closely, the road spacing of deep hole wave detector is 10 meters.Cable is through in the cavity of connecting rod, and thunder is used with the connector of wave detector pipe nipple
Not water-proof connector plugs convenient and waterproof infiltration.Every 6 wave detector accesses a data collector, and more number of units are according to acquisition
Device accesses an optical transmitter and receiver by shielded cable, and more optical transmitter and receivers pass through optical fiber earthward transmission data in real time.Coal work is opened
System for acquiring seismic data opens work simultaneously when the beginning, and seismic acquisition configuration is delayed 20 minutes and closed after coal work stops,
The recordable follow-up microseismic signals induced by coal work of delay periods.
In addition to parallel deep hole geophone group, auxiliary geophone array (Fig. 1), tunnel inspection are also arranged in working face both sides tunnel
Wave device is mounted on coal wall in the hole of 2 meters of depths, using spring backup or cementitious;Reduce the interference of tunnel noise, road to the greatest extent
Spacing is 10 meters;When coal work starts, system for acquiring seismic data also starts simultaneously;The seismic data of each acquisition station exists
Underground converges to optical transmitter and receiver, then by optical fiber earthward real-time Transmission, is handled in central station storage.
3, data processing:
1) observation system, input service face, the coordinate for cutting eye and each wave detector are established;Observation system is initially set up, it is defeated
The coordinate for entering working face and each wave detector, is ready for data processing, and subsequent processing wants the measurement accuracy of space coordinate
Ask higher;It cuts the data that a position promotes and is also required to real-time update, important evidence is provided for data explanation;As coal work pushes away
Into some distances are cut wave detector of the eye less than 20 meters and will be removed;
2) it determines working condition, directly seismic data can be utilized to judge instantly whether in coal mining activity, analysing energy water
The kurtosis of gentle cross-correlation function can relatively accurately judge, seismic energy levels are high when coal mining activity, and each track data is mutual
The kurtosis of pass is also big;Hash is rejected, only the data of interception coal mining period carry out subsequent processing, and data can be greatly decreased in this
The workload of processing.It is specific good, 4 can be extracted from the data that hole 1 records, the amplitude of data be analyzed, when amplitude is small
It is judged as coalcutter non-coal cutting when empirical value, carries out next step analysis when being more than threshold value, is divided to two groups by 4 track datas, often
Group 2 does cross-correlation, seeks the kurtosis of cross-correlation function, is determined as coalcutter when kurtosis is more than empirical value just in coal cutting,
The coal cutting period is recorded in data screening file;
3) multidimensional deconvolution is interfered:
Coal cutting period data is chosen to be handled;As unit of each deep hole divided area, data screening is divided into more
A unit, the wave detector of small size deep hole is defined as image shotpoint in each unit, remaining wave detector is defined as receiving point;Utilize multidimensional
Deconvolution interference technique is effective seismic signal is converted into from cutting the continuous shaking noise that intraocular transmits, in divided area one by one
Interior " void " big gun collection for obtaining high s/n ratio, high spatial resolution;
Specifically, near No. 1 hole string for cutting eye one group of image shotpoint will be defined as, No. 2 holes and both sides tunnel
Wave detector is defined as receiving point, and the seismic data of the seismic data of each image shotpoint and all receiving points does cross-correlation and obtains initially
Initial empty big gun collection is arranged in order by image shotpoint as a Multidimensional numerical by empty big gun collection;The seismic data of each image shotpoint and other
The seismic data of image shotpoint does cross-correlation and obtains the point spread function of the image shotpoint, and point spread function is arranged in order by image shotpoint
For another Multidimensional numerical;Initial empty big gun collection Multidimensional numerical is done at multidimensional deconvolution using this point spread function Multidimensional numerical
Reason, obtains final empty big gun collection Multidimensional numerical;
4) detection construction:Seismic interference has the characteristics that energy is stackable, coal seam rank of the coalcutter before exploiting No. 1 hole
Section, all energy can be applied, and the signal-to-noise ratio of empty big gun collection can further increase after superposition every time;
With exploitation, continuous stack power obtains the empty big gun collection of the highest transmission of signal-to-noise ratio, utilizes ART or the side SIRT as possible
Method inverting obtains the CT in subdivision array;Reflected waveform data is handled using the Prestack Migration Technology of reflection seismic, obtains detecting area
Fault imaging in domain;The slot wave dispersion curve of every empty big gun collection seismic ray is extracted, inverting obtains the thickness of the coal on every ray,
The coal thickness informix of every ray is got up, the synthesis coal thickness that each region is obtained using chromatography imaging method is changed;
It is specific good, it, can using the covering ray in (such as between No. 1 hole and No. 2 holes or between No. 2 holes and No. 3 holes) between adjacent holes
To do three kinds of imagings:A, tomography is done to the interpore region of segmentation, common inversion algorithm has ART or SIRT;B, reflection is utilized
Seismic method does catoptric imaging to the tomography in region, determines position of fault;C, the dispersion curve for extracting slot wave utilizes coal seam thickness
The relationship of degree and slot wave dispersion curve, thickness inversion imaging is done to coal seam;
5) stress variation is detected:Stress detection concerns that stress changes with time, and is former and later two in embodiment
Stress variation (coal cutting single time refer to that coalcutter is cut from one, a face is cut to other one) between single time of coal cutting;
" void " big gun collection that one singly plows will often be cut to extract, by " void " big gun is drawn in one twice before and after the inspection pair of each big gun
It rises, the seismic phase of front is almost consistent, and coda wave part was not only similar but also variant, and coda wave interference processing is carried out to it, obtains medium change
Change, be mainly stress variation figure;It connects and plays to a series of stress variation figures, obtain stress variation cloud atlas.
Each coal cutting does multidimensional deconvolution interference single time, obtains empty big gun collection, interferes front and back coda wave twice
Processing, obtains coda wave arrival time difference, and the coda wave arrival time difference that multiple coal cuttings are single time is concatenated, and obtains variation cloud atlas and has just reacted medium
Stress variation;
6) all carried out between the adjacent, parallel hole of each two it is above-mentioned 3)~5) processing of step, obtain the detection of entire working face
As a result;It can also be reduced to only with two adjacent, parallel holes, with mining, the propulsion rolling for cutting eye detects forward, although so not
Entire working face can be detected simultaneously, but can detect and cut within 100 meters of side at the moment, and advantage is can to save detecting devices.
4, data interpretation
By analyzing CT images, reflected image, slot wave dispersion curve, tomography, karst collapse col umn, the variation of coal thickness etc. are quantified
Mark, is sent to intelligent mining system, and the further planning intelligently to exploit provides geological information;For utilizing coda wave interference side
The stress variation dynamic image that method obtains, combined structure weakness band and other safety monitoring information judge the disaster that may occur,
Anticipation is made to position and danger, anticipation result is sent to intelligent mining system.
Under conditions of abundant collection work face geologic information, it is thick that tomography, karst collapse col umn, coal are drawn a circle to approve according to structural exploration result
Variation etc., is presented, data are transmitted to intelligent mining system with three-dimensional visualization;Stress variation " cloud atlas " is presented in the form of animation, number
According to intelligent mining system and ground safety monitoring department is transmitted to, early warning judgement is made in due course.
Specific embodiment described herein is only an example for the spirit of the invention.Technology belonging to the present invention is led
The technical staff in domain can make various modifications or additions to the described embodiments or replace by a similar method
In generation, however, it does not deviate from the spirit of the invention or beyond the scope of the appended claims.
Claims (10)
1. a kind of coal mining seismic acquisition system segmenting array based on wave detector, which is characterized in that including:
Seismic detector string array, including multiple seismic detector strings, each seismic detector string are located at working face
In the parallel deep hole of interior arrangement, the parallel deep hole both ends are separately connected tunnel;
Data collector connects several detector strings, and logical shielded cable accesses optical transmitter and receiver;
Wherein, working face is divided into a divided area by two neighboring seismic detector string, utilizes multidimensional deconvolution interferometry
Effective seismic signal will be converted into from cutting the continuous shaking noise that intraocular transmits, high s/n ratio, high-altitude are obtained in divided area
Between resolution ratio " void " big gun collection.
2. a kind of coal mining seismic acquisition system segmenting array based on wave detector according to claim 1, feature
It is, further includes:Shallow bore hole wave detector in the tunnel.
3. a kind of coal mining seismic acquisition system segmenting array based on wave detector according to claim 1, feature
It is, the wave detector is placed in pushing device, and the pushing device includes the shell for placing wave detector, on the shell
A hinged backup arm, the middle part of the backup arm are hinged a backup screw rod, and the other end of the backup screw rod is connected to a backup
On the stroke lever of motor;Also, the backup screw rod is driven to drive the backup arm at least when the stroke lever transverse shifting
Deviate the shell in one end.
4. a kind of coal mining seismic detection method segmenting array based on wave detector, which is characterized in that including:
Working face is divided into multiple by region division step using the seismic detector string being arranged in working face in parallel deep hole
Divided area;
Data collection steps, using the coal-cutting machinery noise of working face open-off cut intraocular, microseism as passive source, acquisition is passed from intraocular is cut
The continuous shaking noise come;It is converted into effective seismic signal;
Data processing step will be converted into effective earthquake from cutting the continuous shaking noise that intraocular transmits as unit of divided area
Signal obtains " void " big gun collection of high s/n ratio, high spatial resolution in divided area;
Data interpretation procedure carries out geologic interpretation based on described " void " big gun collection.
5. a kind of coal mining seismic detection method segmenting array based on wave detector according to claim 4, feature
It is, in the data collection steps, seismic detector string delays scheduled duration closing after coal work stops, in delay periods
Record the follow-up microseismic signals induced by coal work.
6. a kind of coal mining seismic detection method segmenting array based on wave detector according to claim 4, feature
It is, in the data processing step, following sub-step is executed in each divided area:
Observation system models sub-step, and the coordinate in input service face and each wave detector, to establish observation system, real-time update is cut
The data that eye position promotes provide foundation for data explanation;
Working condition determines sub-step, and the kurtosis of analysing energy level and cross-correlation function is cut with filtering out the coal mining activity period
The data for period of mining are taken to carry out subsequent processing;
The anti-pleat of multidimensional interferes sub-step, will be converted into from cutting the continuous shaking noise that intraocular transmits using multidimensional deconvolution interferometry
Effective seismic signal obtains " void " big gun collection of high s/n ratio, high spatial resolution in divided area;
Coal exploration constructs sub-step, is handled to obtain CT in subdivision array, slot wave dispersion curve, comprehensive to the empty big gun collection of transmission
It closes one or more in the variation of coal thickness;
Stress variation detects sub-step, carries out coda wave interference to " void " big gun collection between single time of former and later two coal cuttings and handles to obtain
Stress variation figure.
7. a kind of coal mining seismic detection method segmenting array based on wave detector according to claim 6, feature
It is, the working condition determines in sub-step, analyzes the amplitude of data, is judged as adopting when amplitude is less than threshold value
The non-coal cutting of coal machine;When amplitude is more than threshold value, data are grouped, the kurtosis of cross-correlation function is sought in group, when kurtosis is big
It is determined as that coalcutter just in coal cutting, records the coal cutting period in data screening file when a threshold value.
8. a kind of coal mining seismic detection method segmenting array based on wave detector according to claim 6, feature
It is, in the anti-pleat interference sub-step of multidimensional,
It will be defined as one group of image shotpoint near the string for cutting eye in divided area, will be far from the string definition for cutting eye
For receiving point, the seismic data of the seismic data of each image shotpoint and all receiving points carries out cross-correlation and obtains initial empty big gun collection,
Initial empty big gun collection is arranged in order by image shotpoint as a Multidimensional numerical;
The seismic data of the seismic data of each image shotpoint and other image shotpoints is done into cross-correlation and obtains the point spread function of image shotpoint
Number, point spread function is arranged in order by image shotpoint as another Multidimensional numerical;Using point spread function Multidimensional numerical to initial
Empty big gun collection Multidimensional numerical does multidimensional deconvolution processing, obtains final empty big gun collection Multidimensional numerical.
9. a kind of coal mining seismic detection method segmenting array based on wave detector according to claim 6, feature
It is, in the coal exploration construction sub-step, the CT in subdivision array is obtained using ART or SIRT inversion methods;
And/or reflected waveform data is handled using the Prestack Migration Technology of reflection seismic, obtain the fault imaging in search coverage;
And/or the slot wave dispersion curve of the empty big gun collection seismic ray of extraction every, inverting obtains the thickness of the coal on every ray, by every
The coal thickness informix of ray gets up, and the synthesis coal thickness that each region is obtained using chromatography imaging method is changed.
10. a kind of coal mining seismic detection method segmenting array based on wave detector according to claim 4, feature
It is, in the data interpretation procedure,
By analyzing CT images, reflected image, slot wave dispersion curve to carry out quantitative mark to tomography, karst collapse col umn, the variation of coal thickness;
And/or it is based on stress variation dynamic image, combined structure weakness band and safety monitoring information, predict geological disaster;
And/or tomography, karst collapse col umn, the variation of coal thickness are drawn a circle to approve according to structural exploration result and presented with three-dimensional visualization.
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Cited By (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN109779635A (en) * | 2019-02-02 | 2019-05-21 | 韩少鹏 | A kind of tunnel Engineering safe excavation method |
CN110531408A (en) * | 2019-09-09 | 2019-12-03 | 中煤科工集团西安研究院有限公司 | A kind of coal mine evacuation working face self-powered Distributed seismic monitoring system and method |
CN111208567A (en) * | 2020-01-07 | 2020-05-29 | 中国科学院地理科学与资源研究所 | Ore layer imaging method and device and computer readable storage medium |
CN111413735A (en) * | 2020-05-11 | 2020-07-14 | 安徽理工大学 | Coal face rapid earthquake transmission chromatography method capable of simultaneously exciting multiple seismic sources |
CN112433245A (en) * | 2020-11-04 | 2021-03-02 | 陕西彬长孟村矿业有限公司 | Coal mine fault structure prediction method |
CN112630824A (en) * | 2019-10-09 | 2021-04-09 | 中国石油化工股份有限公司 | Discrete point spread function generation method and system in seismic imaging |
CN113219539A (en) * | 2020-02-05 | 2021-08-06 | 中国石油天然气集团有限公司 | Method and device for removing borehole wave interference in optical fiber acoustic sensing seismic data |
Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN102788995A (en) * | 2012-08-02 | 2012-11-21 | 中煤科工集团西安研究院 | Coal mine working face detecting method with cutting vibration as seismic signal |
CN102798884A (en) * | 2011-05-25 | 2012-11-28 | 淮南矿业(集团)有限责任公司 | Tunnel roof two-dimensional seismic exploration method and system |
CN105137475B (en) * | 2015-09-17 | 2017-09-01 | 中煤科工集团西安研究院有限公司 | A kind of coal mine work area real-time detection system and method based on belt feeder |
CN107703545A (en) * | 2017-09-01 | 2018-02-16 | 中煤科工集团西安研究院有限公司 | A kind of 3-component earthquake slot wave wave field separation method and system |
CN108121010A (en) * | 2017-12-21 | 2018-06-05 | 中煤科工集团西安研究院有限公司 | Based on the united underground dead face slot wave forward probe method and system in hole lane |
-
2018
- 2018-06-14 CN CN201810610808.XA patent/CN108693561B/en active Active
Patent Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN102798884A (en) * | 2011-05-25 | 2012-11-28 | 淮南矿业(集团)有限责任公司 | Tunnel roof two-dimensional seismic exploration method and system |
CN102788995A (en) * | 2012-08-02 | 2012-11-21 | 中煤科工集团西安研究院 | Coal mine working face detecting method with cutting vibration as seismic signal |
CN105137475B (en) * | 2015-09-17 | 2017-09-01 | 中煤科工集团西安研究院有限公司 | A kind of coal mine work area real-time detection system and method based on belt feeder |
CN107703545A (en) * | 2017-09-01 | 2018-02-16 | 中煤科工集团西安研究院有限公司 | A kind of 3-component earthquake slot wave wave field separation method and system |
CN108121010A (en) * | 2017-12-21 | 2018-06-05 | 中煤科工集团西安研究院有限公司 | Based on the united underground dead face slot wave forward probe method and system in hole lane |
Non-Patent Citations (1)
Title |
---|
王书文 等: "观测系统对回采工作面地震CT成像质量影响规律研究", 《中国煤炭》 * |
Cited By (11)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN109779635A (en) * | 2019-02-02 | 2019-05-21 | 韩少鹏 | A kind of tunnel Engineering safe excavation method |
CN110531408A (en) * | 2019-09-09 | 2019-12-03 | 中煤科工集团西安研究院有限公司 | A kind of coal mine evacuation working face self-powered Distributed seismic monitoring system and method |
CN110531408B (en) * | 2019-09-09 | 2022-03-08 | 中煤科工集团西安研究院有限公司 | Self-powered distributed earthquake monitoring system and method for mine driving working face |
CN112630824A (en) * | 2019-10-09 | 2021-04-09 | 中国石油化工股份有限公司 | Discrete point spread function generation method and system in seismic imaging |
CN112630824B (en) * | 2019-10-09 | 2024-03-22 | 中国石油化工股份有限公司 | Discrete point spread function generation method and system in seismic imaging |
CN111208567A (en) * | 2020-01-07 | 2020-05-29 | 中国科学院地理科学与资源研究所 | Ore layer imaging method and device and computer readable storage medium |
CN113219539A (en) * | 2020-02-05 | 2021-08-06 | 中国石油天然气集团有限公司 | Method and device for removing borehole wave interference in optical fiber acoustic sensing seismic data |
CN111413735A (en) * | 2020-05-11 | 2020-07-14 | 安徽理工大学 | Coal face rapid earthquake transmission chromatography method capable of simultaneously exciting multiple seismic sources |
CN111413735B (en) * | 2020-05-11 | 2022-08-26 | 安徽理工大学 | Coal face rapid earthquake transmission chromatography method capable of simultaneously exciting multiple seismic sources |
CN112433245A (en) * | 2020-11-04 | 2021-03-02 | 陕西彬长孟村矿业有限公司 | Coal mine fault structure prediction method |
CN112433245B (en) * | 2020-11-04 | 2024-03-22 | 陕西彬长孟村矿业有限公司 | Coal mine fault structure prediction and forecast method |
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