CN105242016A - Method for predicting coal and gas outburst danger - Google Patents
Method for predicting coal and gas outburst danger Download PDFInfo
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- CN105242016A CN105242016A CN201510742662.0A CN201510742662A CN105242016A CN 105242016 A CN105242016 A CN 105242016A CN 201510742662 A CN201510742662 A CN 201510742662A CN 105242016 A CN105242016 A CN 105242016A
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Abstract
The invention discloses a method for predicting coal and gas outburst danger. The coal and gas outburst tests are conducted on coal seams with different gas contents to obtain the critical gas dynamic phenomenon for non-outburst test and outburst test, and a value in the critical state the outburst critical value. According to the critical value, the outburst danger of a coal seam of any gas content can be determined.
Description
Technical field
The present invention relates to a kind of Forecasting Methodology of coal and gas prominent danger, be specifically related to seam gas content in a kind of critical mash gas dynamic phenomenon by not given prominence to and give prominence to test and corresponding test and determine the method for gas bearing capacity inrush critical value.
Background technology
Coal and gas prominent is a kind of extremely serious coal mine dynamic disaster occurred in underground coal mine production run, it shows as and sprays a large amount of coal petrography and gas at short notice, after outstanding generation, personnel are difficult to react rapidly and escape, therefore the life security of coal miner in this accident serious threat, it is the principal element of restriction Safety of Coal Mine Production.China is one of country that coal and gas prominent is the most serious in the world, and China's coal and gas outburst mine accounts for 45% of world's projecting mine sum, for whole world coal and gas prominent number of times.In recent years, along with the intensification of mining depth, outburst hazard also increases day by day.Accurate Prediction coal and gas prominent danger is very urgent.
For accurate forecasting coal and gas outburst risk, the generation of control coal and gas prominent disaster, Chinese scholars studies for a long period of time to coal and gas prominent mechanism, result shows that gas is one of key factor affecting coal and gas prominent, for this reason using the important indicator one of of coal seam gas-bearing capacity as forecasting coal and gas outburst risk." control coal and gas prominent regulation " explanation that China came into effect in 2009, when adopting gas bearing capacity to carry out subterranean zone outburst hazard prediction, the critical value of prediction institute foundation should be determined according to experiment investigation, can predict by the following method temporarily: when gas bearing capacity is less than 8m before determining
3during/t, be predicted as without seam with potential outburst danger, and when gas bearing capacity is greater than 8m
3during/t, be then predicted as dangerous seam with potential.Although " control coal and gas prominent regulation " gives gas bearing capacity inrush critical value 8m
3this recommendation of/t, but come from the summary of on-site experience, and index sensitivity there are differences for different coal seams.In practical situations both, for the critical value of index, mine is not all investigated for various reasons, but directly adopts the critical value that " control coal and gas prominent specify " recommend, but it is not necessarily applicable to the reality in mine or coal seam.
Summary of the invention
In view of the gas bearing capacity inrush critical value being applied to Coal Seam Outburst Hazard prediction is at present empirical value, the invention provides a kind of defining method of gas bearing capacity inrush critical value, accurately judge Coal Seam Outburst Hazard by the judgement of this critical value.
The Forecasting Methodology of coal and gas prominent danger provided by the invention, first coal and gas prominent simulation test is carried out, around outstanding simulation test, on the one hand quantification is carried out to the coal seam gas-bearing capacity in outstanding simulation test, on the other hand classification is carried out to the mash gas dynamic phenomenon of outstanding simulation test; Then, the critical mash gas dynamic phenomenon of the not outstanding and outstanding test of research, draws seam gas content in corresponding test, thus determines gas bearing capacity inrush critical value; By comparing comparing of gas bearing capacity and inrush critical value in coal seam, doping coal-bed gas and whether there is outburst hazard.
The invention provides a kind of Forecasting Methodology of coal and gas prominent danger, comprise the following steps:
Step 1. simulates coal seam:
Be that the coal sample of m puts into mould by quality, adopt pressure testing machine to suppress it, the pressure in setting compacting coal seam is greater than 30MPa;
Step 2. vacuumizes, inflate and calculate gas bearing capacity:
After the compacting of coal seam, first drill to air-filled pore and pressure monitoring hole with drill bit, then vacuumize coal seam, the time vacuumized is 12 ~ 24 hours; Vacuumize and be filled with gas to coal seam afterwards, inflationtime is 12 ~ 24 hours; Arrange gas meter between gas cylinder and coal seam, the data of gas meter collection are the gas volume being filled with coal seam, count v; Gas bearing capacity w calculating formula is: w=v/m;
The classification of step 3. mash gas dynamic phenomenon:
Before opening aspis, at least 2 hours, gas pressure does not change; After opening aspis, no matter whether give prominence at every turn, all carrying out detailed record to opening the situation after aspis, comprising and the coal sample situation of dishing out is taken pictures, and coal sample of dishing out reclaimed and weighs, coal and gas prominent situation is classified; Mash gas dynamic phenomenon is divided into two ranks; First rank is not given prominence to, and rib remains intact harmless or has a small amount of coal body to be caving, and the coal amount be caving accounts for the number percent of compacting coal seam total coal amount used
be less than 5%; Second rank is outstanding, and rib suffers more serious destruction, and the coal amount of dishing out accounts for the number percent of total coal amount
reach more than 5%;
Step 4. obtains coal seam gas-bearing capacity inrush critical value:
Carry out coal and gas prominent test to the coal seam under different gas bearing capacity, do not given prominence to and give prominence to the critical mash gas dynamic phenomenon of test, during arrival critical conditions, corresponding value is inrush critical value;
Concrete operation method is: first carry out coal seam gas-bearing capacity w
1=8m
3the coal and gas prominent simulation test of/t, if do not given prominence to, then continues to press w
1the value of+0.1 is simulated, and chooses the incremental change of 0.1 at every turn, until corresponding value is inrush critical value during coal-bed gas generation protrusion phenomenon;
If carry out coal seam gas-bearing capacity w
1=8m
3during the coal and gas prominent simulation test of/t, there occurs outstanding, then continue to press w
1the value of-0.1 is simulated, and chooses the decrement of 0.1 at every turn, until corresponding value is inrush critical value during coal-bed gas generation protrusion phenomenon;
The prediction of step 5. coal and gas prominent danger:
For the coal seam under arbitrary gas bearing capacity, when gas bearing capacity is less than inrush critical value, then predict that this coal seam does not have outburst hazard; When gas bearing capacity is greater than inrush critical value, then predict that this coal seam has outburst hazard.
Further, in described step 2, the diameter in air-filled pore or pressure monitoring hole is 3.5mm or 4mm.
Beneficial effect of the present invention:
When adopting gas bearing capacity to carry out subterranean zone outburst hazard prediction, although " control coal and gas prominent regulation " gives gas bearing capacity inrush critical value 8m
3this recommendation of/t, but come from the summary of on-site experience, and index sensitivity there are differences for different coal seams, is not necessarily applicable to the reality in mine or coal seam.The present invention obtains coal seam gas-bearing capacity inrush critical value by coal and gas prominent simulation test, can judge the outburst hazard in coal seam under arbitrary gas bearing capacity value according to this critical value.
Embodiment
Further illustrate the present invention below by embodiment, but be not limited to following examples.
Determine that the step of certain coal sample gas bearing capacity inrush critical value is as follows:
Step 1. simulates coal seam:
Be that the coal sample of m puts into mould by quality, adopt pressure testing machine to suppress it, the pressure in setting compacting coal seam is greater than 30MPa; It is 10kg that the coal sample that grinding tool carries out suppressing is put in the present embodiment setting.
Step 2. vacuumizes, inflate and calculate gas bearing capacity:
After the compacting of coal seam, be first that the drill bit of 3.5mm is drilled to air-filled pore and pressure monitoring hole with diameter, then vacuumize coal seam, the time vacuumized is 24 hours; Vacuumize and gas is filled with to coal seam, inflationtime 24 hours afterwards; Arrange gas meter between gas cylinder and coal seam, the data of gas meter collection are the gas volume being filled with coal seam, count v; Coal seam gas-bearing capacity w calculating formula is: w=v/m;
Control the gas volume being filled with coal sample, first carry out coal seam gas-bearing capacity w
1=8m
3the coal and gas prominent simulation test of/t, tackles the gas that coal sample is filled with v=80L as calculated.
The classification of step 3. mash gas dynamic phenomenon:
Observe the situation of bringing out coal and gas prominent, mash gas dynamic phenomenon is divided into two ranks: first rank is not given prominence to, rib remains intact harmless or has a small amount of coal body to be caving, and the coal amount be caving accounts for the number percent of compacting coal seam total coal amount used
be less than 5%; Second rank is outstanding, and rib suffers serious destruction, and the coal amount of dishing out accounts for the number percent of total coal amount
reach more than 5%;
By opening aspis, observe whether have protrusion phenomenon: before opening aspis, at least 2 hours, gas pressure does not change; After opening aspis, no matter whether give prominence at every turn, all carrying out detailed record to opening the situation after aspis, comprising and the coal sample situation of dishing out is taken pictures, and coal sample of dishing out reclaimed and weighs, coal and gas prominent situation is classified.
Step 4. obtains coal seam gas-bearing capacity inrush critical value:
Carry out coal and gas prominent test to the coal seam under different gas bearing capacity, do not given prominence to and give prominence to the critical mash gas dynamic phenomenon of test, during arrival critical conditions, corresponding value is inrush critical value;
(1) as w
1=8m
3the mash gas dynamic phenomenon of the coal and gas prominent simulation test of/t classifies as does not give prominence to, then increase the gas volume being filled with coal sample gradually, carry out coal seam gas-bearing capacity and be greater than 8m
3/ t (is respectively w
2, w
3, w
4, successively increase) test, until completing a mash gas dynamic phenomenon is outstanding test, such as, increase to w at coal seam gas-bearing capacity
4time, there is outstanding phenomenon in test.
Calculate w
3and w
4mean value, count
make the gas volume being filled with coal sample equal this mean value, carry out coal and gas prominent simulation test.As
test there is the phenomenon of outstanding (giving prominence to), then carry out coal seam gas-bearing capacity and equal
and w
4(w
3) the test of mean value, the like, until
(i.e. w
nand w
n+1mean value) test there is outstanding phenomenon, and
with w
n(or w
n+1) difference be less than 0.1, now stop coal and gas prominent simulation test, the gas bearing capacity inrush critical value getting coal and gas prominent is
(2) as w
1=8m
3the mash gas dynamic phenomenon of the coal and gas prominent simulation test of/t classifies as outstanding, then reduce the gas volume being filled with coal sample gradually, carry out coal seam gas-bearing capacity and be less than 8m
3/ t (is respectively w'
2, w'
3, w'
4, successively reduce) test, until completing a mash gas dynamic phenomenon is outstanding test, such as, be reduced to w' at coal seam gas-bearing capacity
4time, there is not outstanding phenomenon in test.Calculate w'
3and w'
4mean value, count
, make the gas volume being filled with coal sample equal this mean value, carry out coal and gas prominent simulation test.As
test there is the phenomenon of outstanding (not giving prominence to), then carry out coal seam gas-bearing capacity and equal
and w'
4(w'
3) the test of mean value, the like, until
(i.e. w'
nand w'
n+1mean value) test there is outstanding phenomenon, and
with w'
n(or w'
n+1) difference be less than 0.1, now stop coal and gas prominent simulation test, the gas bearing capacity inrush critical value getting coal and gas prominent is
The prediction of step 5. coal and gas prominent danger:
For the coal seam under arbitrary gas bearing capacity, when gas bearing capacity is less than inrush critical value, then predict that this coal seam does not have outburst hazard; When gas bearing capacity is greater than inrush critical value, then predict that this coal seam has outburst hazard.
Claims (5)
1. the Forecasting Methodology of a coal and gas prominent danger, it is characterized in that: first carry out coal and gas prominent simulation test, around outstanding simulation test, on the one hand quantification is carried out to the coal seam gas-bearing capacity in outstanding simulation test, on the other hand classification is carried out to the mash gas dynamic phenomenon of outstanding simulation test; Then, the critical mash gas dynamic phenomenon of the not outstanding and outstanding test of research, draws seam gas content in corresponding test, thus determines gas bearing capacity inrush critical value; By comparing gas bearing capacity and inrush critical value in coal seam, doping coal seam and whether there is outburst hazard.
2. the Forecasting Methodology of coal and gas prominent danger according to claim 1, is characterized in that: comprise the following steps:
Step 1. simulates coal seam:
Be that the coal sample of m puts into mould by quality, adopt pressure testing machine to suppress it, the pressure in setting compacting coal seam is greater than 30MPa;
Step 2. vacuumizes, inflate and calculate gas bearing capacity:
After the compacting of coal seam, first drill to air-filled pore and pressure monitoring hole with drill bit, then vacuumize coal seam, the time vacuumized is 12 ~ 24 hours; Vacuumize and gas is filled with to coal seam, inflationtime 12 ~ 24 hours afterwards; Arrange gas meter between gas cylinder and coal seam, the data of gas meter collection are the gas volume being filled with coal seam, count v; Coal seam gas-bearing capacity w calculating formula is: w=v/m;
The classification of step 3. mash gas dynamic phenomenon:
Observe the situation of bringing out coal and gas prominent, mash gas dynamic phenomenon is divided into two ranks: first rank is not given prominence to, rib remains intact harmless or has a small amount of coal body to be caving, and the coal amount be caving accounts for the number percent of compacting coal seam total coal amount used
be less than 5%; Second rank is outstanding, and rib suffers serious destruction, and the coal amount of dishing out accounts for the number percent of total coal amount
reach more than 5%;
Step 4. obtains coal seam gas-bearing capacity inrush critical value:
Carry out coal and gas prominent test to the coal seam under different gas bearing capacity, do not given prominence to and give prominence to the critical mash gas dynamic phenomenon of test, during arrival critical conditions, corresponding value is inrush critical value;
The prediction of step 5. coal and gas prominent danger:
For the coal seam under arbitrary gas bearing capacity, when gas bearing capacity is less than inrush critical value, then predict that this coal seam does not have outburst hazard; When gas bearing capacity is greater than inrush critical value, then predict that this coal seam has outburst hazard.
3. the Forecasting Methodology of coal and gas prominent danger according to claim 2, is characterized in that: in described step 2, and the diameter in air-filled pore or pressure monitoring hole is 3.5mm or 4mm.
4. the Forecasting Methodology of coal and gas prominent danger according to claim 2, is characterized in that: in described step 3, by opening aspis, observes whether have protrusion phenomenon: before opening aspis, at least 2 hours, gas pressure does not change; After opening aspis, no matter whether give prominence at every turn, all carrying out detailed record to opening the situation after aspis, comprising and the coal sample situation of dishing out is taken pictures, and coal sample of dishing out reclaimed and weighs, coal and gas prominent situation is classified.
5. the Forecasting Methodology of coal and gas prominent danger according to claim 2, is characterized in that: the concrete operation method of described step 4 is: first carry out coal seam gas-bearing capacity w
1=8m
3the coal and gas prominent simulation test of/t, if do not given prominence to, then continues to press w
1the value of+0.1 is simulated, and chooses the incremental change of 0.1 at every turn, until corresponding value is inrush critical value during coal-bed gas generation protrusion phenomenon;
If carry out coal seam gas-bearing capacity w
1=8m
3during the coal and gas prominent simulation test of/t, there occurs outstanding, then continue to press w
1the value of-0.1 is simulated, and chooses the decrement of 0.1 at every turn, until corresponding value is inrush critical value during the generation protrusion phenomenon of coal seam.
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Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106703887A (en) * | 2016-11-24 | 2017-05-24 | 西安科技大学 | Method of judging secondary gas explosion in mine thermodynamic disaster relief |
| CN108088718A (en) * | 2017-12-22 | 2018-05-29 | 徐州恒安煤矿技术有限公司 | The method and small-sized soft layering pressure setting that down-hole coal bed soft hierarchical simulation replicates |
| CN110261233A (en) * | 2019-07-02 | 2019-09-20 | 中国矿业大学 | A method of test postponing bursting critical methane pressure power and extension time |
| CN115097095A (en) * | 2022-07-13 | 2022-09-23 | 中国石油大学(华东) | Outburst prediction simulation method and device for outburst coal seam excavation working face |
| US20220316323A1 (en) * | 2021-04-02 | 2022-10-06 | China Coal Technology&Engineering Group Shenyang Engineering Company | Prediction method for coal and gas outburst based on comparing borehole gas flow curves |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101344514A (en) * | 2008-09-01 | 2009-01-14 | 中国矿业大学 | Fast prediction method for crossdrift and pitshaft coal uncovering burst fatalness |
| CN101787897A (en) * | 2009-12-30 | 2010-07-28 | 西安西科测控设备有限责任公司 | System and method for predicting coal and gas outburst risk of mine in real time |
| CN102168531A (en) * | 2011-03-30 | 2011-08-31 | 中国矿业大学 | Coupling predication method of outburst risk multivariate information of gas coal and gas |
| CN102353608A (en) * | 2011-07-08 | 2012-02-15 | 中国矿业大学 | Device and method for measuring prediction index critical value of coal and gas outburst |
| CN103454385A (en) * | 2013-09-18 | 2013-12-18 | 山东科技大学 | Coal and gas outburst simulation experiment device during roadway exposure |
-
2015
- 2015-11-04 CN CN201510742662.0A patent/CN105242016A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101344514A (en) * | 2008-09-01 | 2009-01-14 | 中国矿业大学 | Fast prediction method for crossdrift and pitshaft coal uncovering burst fatalness |
| CN101787897A (en) * | 2009-12-30 | 2010-07-28 | 西安西科测控设备有限责任公司 | System and method for predicting coal and gas outburst risk of mine in real time |
| CN102168531A (en) * | 2011-03-30 | 2011-08-31 | 中国矿业大学 | Coupling predication method of outburst risk multivariate information of gas coal and gas |
| CN102353608A (en) * | 2011-07-08 | 2012-02-15 | 中国矿业大学 | Device and method for measuring prediction index critical value of coal and gas outburst |
| CN103454385A (en) * | 2013-09-18 | 2013-12-18 | 山东科技大学 | Coal and gas outburst simulation experiment device during roadway exposure |
Cited By (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106703887A (en) * | 2016-11-24 | 2017-05-24 | 西安科技大学 | Method of judging secondary gas explosion in mine thermodynamic disaster relief |
| CN106703887B (en) * | 2016-11-24 | 2018-11-09 | 西安科技大学 | Secondary gas explosion determination method during mine heat power disaster assistance |
| CN108088718A (en) * | 2017-12-22 | 2018-05-29 | 徐州恒安煤矿技术有限公司 | The method and small-sized soft layering pressure setting that down-hole coal bed soft hierarchical simulation replicates |
| CN108088718B (en) * | 2017-12-22 | 2020-06-19 | 徐州恒安煤矿技术有限公司 | Underground coal seam soft layering simulation replication method and small-sized soft layering pressing device |
| CN110261233A (en) * | 2019-07-02 | 2019-09-20 | 中国矿业大学 | A method of test postponing bursting critical methane pressure power and extension time |
| CN110261233B (en) * | 2019-07-02 | 2020-09-25 | 中国矿业大学 | Method for testing delay outburst critical gas pressure and delay time |
| US20220316323A1 (en) * | 2021-04-02 | 2022-10-06 | China Coal Technology&Engineering Group Shenyang Engineering Company | Prediction method for coal and gas outburst based on comparing borehole gas flow curves |
| US11674381B2 (en) * | 2021-04-02 | 2023-06-13 | China Coal Technology & Enginerring Group Shenyang Engineering Company | Prediction method for coal and gas outburst based on comparing borehole gas flow curves |
| CN115097095A (en) * | 2022-07-13 | 2022-09-23 | 中国石油大学(华东) | Outburst prediction simulation method and device for outburst coal seam excavation working face |
| CN115097095B (en) * | 2022-07-13 | 2023-08-18 | 中国石油大学(华东) | Outburst prediction simulation method and device for extraction working face of outburst coal seam |
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