CN106019371B - A kind of advanced qualitative forecast method of projecting coal bed tunnel craven fault - Google Patents
A kind of advanced qualitative forecast method of projecting coal bed tunnel craven fault Download PDFInfo
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- CN106019371B CN106019371B CN201610316770.6A CN201610316770A CN106019371B CN 106019371 B CN106019371 B CN 106019371B CN 201610316770 A CN201610316770 A CN 201610316770A CN 106019371 B CN106019371 B CN 106019371B
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- 239000003245 coal Substances 0.000 title claims abstract description 36
- 238000000034 method Methods 0.000 title claims abstract description 18
- 230000010287 polarization Effects 0.000 claims abstract description 10
- 238000003325 tomography Methods 0.000 claims abstract description 5
- 230000009466 transformation Effects 0.000 claims description 6
- 238000010276 construction Methods 0.000 claims description 3
- 239000011159 matrix material Substances 0.000 claims description 3
- 230000017105 transposition Effects 0.000 claims description 3
- 240000007594 Oryza sativa Species 0.000 claims 1
- 235000007164 Oryza sativa Nutrition 0.000 claims 1
- 235000009566 rice Nutrition 0.000 claims 1
- 238000001514 detection method Methods 0.000 description 2
- 238000010586 diagram Methods 0.000 description 2
- 238000005516 engineering process Methods 0.000 description 2
- 238000005065 mining Methods 0.000 description 2
- 239000011435 rock Substances 0.000 description 2
- 238000005553 drilling Methods 0.000 description 1
- 230000001939 inductive effect Effects 0.000 description 1
- 230000000737 periodic effect Effects 0.000 description 1
- 230000005641 tunneling 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
- G01V1/28—Processing seismic data, e.g. for interpretation or for event detection
- G01V1/30—Analysis
- G01V1/306—Analysis for determining physical properties of the subsurface, e.g. impedance, porosity or attenuation profiles
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- 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
- G01V2210/65—Source localisation, e.g. faults, hypocenters or reservoirs
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- Life Sciences & Earth Sciences (AREA)
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- Environmental & Geological Engineering (AREA)
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- General Life Sciences & Earth Sciences (AREA)
- General Physics & Mathematics (AREA)
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Abstract
The invention discloses a kind of projecting coal bed advanced qualitative forecast methods of tunnel craven fault, this method in front of driving face by being arranged shot point, above driving face top plate, one receiving point is respectively set below bottom plate, above the top plate of driving face rear, one receiving point is respectively set below bottom plate, vector seismic detector is recycled to obtain the X of each receiving point respectively, Y-component seismic signal, according to the strong energy feature of coal seam breakpoint diffracted wave received, determine X, Y-component maximum value amplitude time, main polarization direction is calculated according to the signal of the time, further determine that the top broken-point of tomography and lower breakpoint, position and the property of craven fault are determined with this.The present invention can complete the calculating of main polarization direction merely with the signal of peak swing time, convenient, fast, it is easy to accomplish.The present invention can accurate judgement breakpoint location and property, the advanced qualitative forecast of craven fault is completed, to ensureing that projecting coal bed tunnel safety driving has important practical significance.
Description
Technical field
The present invention relates to a kind of heading tomography forecasting procedure, specifically a kind of projecting coal bed tunnel craven fault is fixed in advance
Property forecasting procedure, belongs to technical field of mine safety.
Background technology
Coal and gas prominent refers under pressure, being dished out from coal body to tunnel or stope space within the extremely short time
The event of a large amount of coal and (or) gas, not only results in casualties, can also national wealth be caused to lose.
Geological structure is the principal element for inducing coal and gas prominent, with tomography, particularly craven fault (drop is less than 5m)
It is the most typical.Coal in Huainan Mining Area shows that crossdrift and coal roadway tunneling work in mining area with gas outburst point tectonic geology statistics
Coal and gas prominent in face has 71.8% to be happened near craven fault.The qualitative advanced prediction of craven fault is exactly to position of fault
The prediction carried out with fault feature judges, is of great significance for preventing coal and gas prominent.
Underground craven fault detects means mainly probing, physical prospecting at present.It is less efficient using drilling method, and visited before geology
Drill easy off-design track, especially dip angle of hole be 0~25 ° of angle of depression and vertical angle when, vertical direction deviate it is more serious,
Craven fault is easily caused to fail to judge.Using the earthquake advanced detection technology in geophysical prospecting method judge breakpoint at least need one it is complete when
Between the period echo-signal, however since craven fault size is smaller, coal seam breakpoint diffracted wave is difficult to form a symmetric form complete
Periodic signal, be unable to accurate judgement craven fault coal seam breakpoint, it is more difficult to which just/inverse property of craven fault is identified.And it is small
Just/inverse property of tomography is very notable to coal and gas prominent control action difference, statistics show coal and gas prominent usually with
Reversed fault is related.
Invention content
The purpose of the present invention is to provide a kind of projecting coal bed advanced qualitative forecast methods of tunnel craven fault, pass through this method
It being capable of accurate judgement position of fault and fault feature.
To achieve the above object, a kind of projecting coal bed advanced qualitative forecast method of tunnel craven fault of the present invention, including it is following
Step：
A shot point is arranged in step 1 in front of driving face, and first is arranged above driving face top plate and connects
Secondary destination is arranged below driving face bottom plate in sink, and third is arranged above driving face rear, top plate and receives
The 4th receiving point is arranged in point below driving face rear, bottom plate；
Step 2 selects the first receiving point, X, Y-component seismic signal is obtained using vector seismic detector, according to roof rock
The strong energy feature of coal seam breakpoint diffracted wave received determines X, Y-component maximum value amplitude time t1；
Step 3 calculates t1Main polarization direction angle θ1, specifically calculating step is：
A. to X, Y, this two multicomponent seismics signal does Hilbert transformation
X (t), y (t) are respectively X, Y-component, symbol in formulaIndicate Hilbert transformation,
B. Hermitian matrix constructions are established
C (t)=M* (t) M (t)
In formula, M (t)=[hx (t) hy (t)], the complex conjugate transposition of symbol * representing matrixes；
C. the maximum eigenvalue λ of Hermitian matrixes is soughtmaxAnd its corresponding normalized feature vector (xmax,
ymax)；
d.Re (x in formulamax)、Re(ymax) it is respectively xmax、ymaxReal part；
Step 4, according to the first receiving point position and main polarization direction angle θ1, the first receiving point is drawn to the of craven fault
One ray；
Step 5 selects other receiving points, and method draws secondary destination to craven fault respectively with step 2 to step 4
The second ray, third receiving point to craven fault third ray and the 4th receiving point to craven fault the 4th ray；
6th step, the intersection point of the first ray and third ray are the top broken-point of craven fault, the second ray and the 4th ray
Intersection point is the lower breakpoint of craven fault；The upper and lower disk relationship in coal seam is determined according to top broken-point and lower breakpoint, judges fault properties.
The present invention eliminates the reliance on a complete cycle signal, merely with the letter of the peak swing time of coal seam breakpoint diffracted wave
The calculating of main polarization direction number can be completed, it is convenient, fast, it is easy to accomplish.The present invention can accurate judgement craven fault position and
Feature completes the advanced qualitative forecast to craven fault, to ensureing that projecting coal bed tunnel safety driving has important practical significance.
Description of the drawings
Fig. 1 is the method for the present invention schematic diagram；
Fig. 2 is that the present invention obtains vector seismic detector acquisition X, Y-component peak swing time method schematic diagram；
In figure, the 1, first receiving point, 2, secondary destination, 3, third receiving point, the 4, the 4th receiving point, 5, headwork
Face, 6, shot point, 7, top plate, 8, bottom plate, 9, top broken-point, 10, lower breakpoint, the 11, first ray, the 12, second ray, 13, third
Ray, the 14, the 4th ray, 15, craven fault.
Specific implementation mode
Below in conjunction with the accompanying drawings, the present invention is further described.
A kind of advanced qualitative forecast method of projecting coal bed tunnel craven fault, which is characterized in that include the following steps：
Step 1 a, as shown in Figure 1, shot point 6 is arranged in 5 front of driving face, in 5 top plate 7 of driving face
Top be arranged the first receiving point 1, below 5 bottom plate 8 of driving face be arranged secondary destination 2,5 rear of driving face,
7 top setting third receiving point 3 of top plate, is arranged the 4th receiving point 4 below 5 rear of driving face, bottom plate 8；
Step 2 selects the first receiving point 1, as shown in Fig. 2, obtaining X, Y-component seismic signal, root using vector seismic detector
The strong energy feature of coal seam breakpoint diffracted wave received according to roof rock determines X, Y-component maximum value amplitude time t1；
Step 3 calculates t1Main polarization direction angle θ1, specifically calculating step is：
A. to X, Y, this two multicomponent seismics signal does Hilbert transformation
X (t), y (t) are respectively X, Y-component, symbol in formulaIndicate Hilbert transformation,
B. Hermitian matrix constructions are established
C (t)=M* (t) M (t)
In formula, M (t)=[hx (t) hy (t)], the complex conjugate transposition of symbol * representing matrixes；
C. the maximum eigenvalue λ of Hermitian matrixes is soughtmaxAnd its corresponding normalized feature vector (xmax,
ymax)；
d.Re (x in formulamax)、Re(ymax) it is respectively xmax、ymaxReal part；
Step 4, according to 1 position of the first receiving point and main polarization direction angle θ1, draw the first receiving point 1 and arrive craven fault 15
The first ray 11；
Step 5 selects other receiving points, and method draws secondary destination 2 and break to small respectively with step 2 to step 4
Second ray 12 of layer 15, the third ray 13 of third receiving point 3 to craven fault 15 and the 4th receiving point 4 are to the of craven fault 15
Four rays 14；
6th step, as shown in Figure 1, the intersection point of the first ray 11 and third ray 13 is coal seam top broken-point 9, the second ray 12
Intersection point with the 4th ray 14 is breakpoint 10 under coal seam；The upper and lower disk relationship in coal seam is determined according to top broken-point 9 and lower breakpoint 10, is sentenced
Disconnected fault properties.Hanging wall shown in FIG. 1 rises, and is reversed fault.
The present invention eliminates the reliance on a complete cycle signal, merely with the letter of the peak swing time of coal seam breakpoint diffracted wave
The calculating of main polarization direction number can be completed, it is convenient, fast, it is easy to accomplish.The present invention can accurate judgement craven fault position and
Feature completes the advanced qualitative forecast to craven fault, to ensureing that projecting coal bed tunnel safety driving has important practical significance.
Preferably, at 5 three meters of front of heading driving face, first connects the setting of shot point 6 described in step 1
Sink 1 is arranged above the top plate 7 of driving face 5 at three meters, and secondary destination 2 is arranged under the bottom plate 8 of driving face 5
Place of three meters of side, the setting of third receiving point 3 above five meters of 5 rear of driving face (lefts Fig. 1 be rear), the top plate 7 at six meters,
The setting of 4th receiving point 4 is below five meters of 5 rear of driving face, the bottom plate 8 at six meters.The selection of these points is both convenient for setting
It sets, and the requirement of detection accuracy can be met.
Claims (1)
1. a kind of advanced qualitative forecast method of projecting coal bed tunnel craven fault, which is characterized in that include the following steps：
Step 1 arranges a shot point (6), on face driving face (5), top plate (7) in front of driving face (5)
Side's the first receiving point of setting (1), the setting secondary destination (2) below face driving face (5), bottom plate (8), in heading driver
Make face (5) rear, top plate (7) top setting third receiving point (3), the setting below driving face (5) rear, bottom plate (8)
4th receiving point (4)；
Step 2 selects the first receiving point (1), X, Y-component seismic signal is obtained using vector seismic detector, according to the coal received
The layer strong energy feature of breakpoint diffracted wave, determines X, Y-component maximum value amplitude time t1；
Step 3 calculates t1Main polarization direction angle θ1, specifically calculating step is：
A. to X, Y, this two multicomponent seismics signal does Hilbert transformation
X (t), y (t) are respectively X, Y-component, symbol in formulaIndicate Hilbert transformation,
B. Hermitian matrix constructions are established
In formula, M (t)=[hx (t) hy (t)], the complex conjugate transposition of symbol * representing matrixes；
C. the maximum eigenvalue λ of Hermitian matrixes is soughtmaxAnd its corresponding normalized feature vector (xmax,ymax)；
d.Re (x in formulamax)、Re(ymax) it is respectively xmax、ymaxReal part；
Step 4, according to the first receiving point (1) position and main polarization direction angle θ1, draw the first receiving point (1) and arrive craven fault (15)
The first ray (11)；
Step 5 selects other receiving points, and method draws secondary destination (2) and arrive craven fault respectively with step 2 to step 4
(15) the third ray (13) of the second ray (12), third receiving point (3) to craven fault (15) and the 4th receiving point (4) arrive small
4th ray (14) of tomography (15)；
The intersection point of 6th step, the first ray (11) and third ray (13) is coal seam top broken-point (9), the second ray (12) and the 4th
The intersection point of ray (14) is breakpoint (10) under coal seam；The upper and lower disk relationship in coal seam is determined according to top broken-point (9) and lower breakpoint (10),
Judge fault properties；
Shot point described in step 1 (6) setting is in front of the heading driving face (5) at three meters, the first receiving point (1)
It is arranged at three meters of top plate (7) top of face driving face (5), secondary destination (2) is arranged in face driving face
(5) below bottom plate (8) at three meters, third receiving point (3) setting is six above six meters of driving face (5) rear, top plate (7)
At rice, the setting of the 4th receiving point (4) is at six meters of driving face (5) rear, six meters of bottom plate (8) lower section.
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Families Citing this family (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106646662B (en) * | 2016-11-10 | 2018-09-18 | 中国矿业大学(北京) | The prediction technique and device in Gas Outburst region |
| CN109765606B (en) * | 2019-01-28 | 2020-08-04 | 阳泉煤业（集团）有限责任公司 | Method for detecting nature of hidden fault of stope face based on reflected trough wave |
| CN110531418B (en) * | 2019-08-21 | 2020-11-20 | 徐州工程学院 | Breakpoint three-dimensional fine positioning method based on Hilbert polarization imaging |
| CN110531415B (en) * | 2019-08-21 | 2020-10-30 | 徐州工程学院 | Three-dimensional small fault advanced detection method utilizing influence of surrounding rock loosening ring |
| CN111025383B (en) * | 2019-11-21 | 2021-09-24 | 徐州工程学院 | Method for qualitatively judging water filling condition of tunnel front karst cave based on diffracted transverse waves |
| CN111236940B (en) * | 2020-01-14 | 2021-06-01 | 山西晋城无烟煤矿业集团有限责任公司 | Method for safely and efficiently passing reverse fault group on fully mechanized coal mining face |
| CN112859196B (en) * | 2021-03-03 | 2022-05-24 | 中国石油大学(北京) | Accurate identification method for broken layer breakpoint in shaft |
Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102053267A (en) * | 2010-10-22 | 2011-05-11 | 中国石油化工股份有限公司 | Method for separating VSP (vertical seismic profiling) wave field based on parametric inversion during seismic profile data processing |
| CN104166136A (en) * | 2014-07-11 | 2014-11-26 | 河海大学 | Interference subspace tracking-based high-efficiency self-adaptive monopulse angle measurement method |
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| US8325559B2 (en) * | 2010-08-27 | 2012-12-04 | Board Of Regents Of The University Of Texas System | Extracting SV shear data from P-wave marine data |
| CN102540254B (en) * | 2010-12-29 | 2014-11-26 | 中国石油天然气集团公司 | Method for determining effective excitation region based on lighting analysis |
| CN103235334B (en) * | 2013-04-11 | 2015-06-10 | 中国矿业大学 | Low drainage roadway fault-throw advanced-detection method based on seismic signals |
| CN103217719B (en) * | 2013-04-11 | 2015-07-15 | 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 |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN102053267A (en) * | 2010-10-22 | 2011-05-11 | 中国石油化工股份有限公司 | Method for separating VSP (vertical seismic profiling) wave field based on parametric inversion during seismic profile data processing |
| CN104166136A (en) * | 2014-07-11 | 2014-11-26 | 河海大学 | Interference subspace tracking-based high-efficiency self-adaptive monopulse angle measurement method |
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