The correlation between dynamic phenomena of boreholes for outburst prediction and outburst risks during coal roadways driving
•A device simulating the outburst prediction of coal roadways was designed.•The correlation among dynamic phenomenon was investigated.•Characteristics of stress changes of coal masses around the borehole were analyzed. Coal and gas outburst accidents occurring in underground coal mines generally cau...
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| Veröffentlicht in: | Fuel (Guildford) 2018-11, Vol.231, p.307-316 |
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| creator | Wang, Chaojie Yang, Shengqiang Li, Xiaowei Yang, Dingding Jiang, Chenglin |
| description | •A device simulating the outburst prediction of coal roadways was designed.•The correlation among dynamic phenomenon was investigated.•Characteristics of stress changes of coal masses around the borehole were analyzed.
Coal and gas outburst accidents occurring in underground coal mines generally cause great casualties and economic losses, especially in construction areas of coal seams where the outburst risks are not accurately evaluated. Therefore, accurately identifying the outburst risks of coal seams is necessary and critical to prevent and control outbursts. In order to improve the prediction accuracy for outbursts in working faces of coal roadways, a self-designed drilling device that can simulate the in-situ outburst prediction of coal roadways was used in this study. We used the coal samples with different coal ranks to adsorb CO2 and N2 with different pressures in the laboratory, so as to simulate the coal seams with different outburst risks. Finally, boreholes for predicting the outburst risk were drilled in the simulated coal seams to study the correlation between common dynamic phenomena (e.g. gas and coal being ejected from the borehole (GCEB) and drill pipe being stuck by coal mass in the borehole (DPSC)) and outburst risks. The results show that the greater the outburst risks of coal seams, the more frequent the occurrence of GCEB and DPSC is. The GCEB phenomenon for outburst prediction is attributed to small-sized coal and gas outbursts in boreholes, while the occurrence of DPSC phenomenon does not affirm that there definitely are outburst risks on working faces.
The DPSC phenomenon indicating outburst risks is generally accompanied with GCEB, which form a linkage system and are triggered successively. |
| doi_str_mv | 10.1016/j.fuel.2018.05.109 |
| format | Article |
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Coal and gas outburst accidents occurring in underground coal mines generally cause great casualties and economic losses, especially in construction areas of coal seams where the outburst risks are not accurately evaluated. Therefore, accurately identifying the outburst risks of coal seams is necessary and critical to prevent and control outbursts. In order to improve the prediction accuracy for outbursts in working faces of coal roadways, a self-designed drilling device that can simulate the in-situ outburst prediction of coal roadways was used in this study. We used the coal samples with different coal ranks to adsorb CO2 and N2 with different pressures in the laboratory, so as to simulate the coal seams with different outburst risks. Finally, boreholes for predicting the outburst risk were drilled in the simulated coal seams to study the correlation between common dynamic phenomena (e.g. gas and coal being ejected from the borehole (GCEB) and drill pipe being stuck by coal mass in the borehole (DPSC)) and outburst risks. The results show that the greater the outburst risks of coal seams, the more frequent the occurrence of GCEB and DPSC is. The GCEB phenomenon for outburst prediction is attributed to small-sized coal and gas outbursts in boreholes, while the occurrence of DPSC phenomenon does not affirm that there definitely are outburst risks on working faces.
The DPSC phenomenon indicating outburst risks is generally accompanied with GCEB, which form a linkage system and are triggered successively.</description><identifier>ISSN: 0016-2361</identifier><identifier>EISSN: 1873-7153</identifier><identifier>DOI: 10.1016/j.fuel.2018.05.109</identifier><language>eng</language><publisher>Kidlington: Elsevier Ltd</publisher><subject>Boreholes ; Briquette coal ; Carbon dioxide ; Casualties ; Coal ; Coal and gas outburst ; Coal gas outbursts ; Coal mines ; Coal mining ; Correlation analysis ; Drill pipe ; Drilling ; Driving ; Driving ability ; Economic impact ; Ejection ; Energy ; Gas expansion energy ; Gas pressure ; Gases ; Predictions ; Risk prediction ; Roads ; Simulation ; Stress ; Underground mines</subject><ispartof>Fuel (Guildford), 2018-11, Vol.231, p.307-316</ispartof><rights>2018</rights><rights>Copyright Elsevier BV Nov 1, 2018</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c365t-ad359522871e190e44edd79343c86083b2749ffa78fe0a418ec6339fbf0d8d1c3</citedby><cites>FETCH-LOGICAL-c365t-ad359522871e190e44edd79343c86083b2749ffa78fe0a418ec6339fbf0d8d1c3</cites><orcidid>0000-0002-9311-903X</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.sciencedirect.com/science/article/pii/S0016236118309347$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,776,780,3537,27901,27902,65306</link.rule.ids></links><search><creatorcontrib>Wang, Chaojie</creatorcontrib><creatorcontrib>Yang, Shengqiang</creatorcontrib><creatorcontrib>Li, Xiaowei</creatorcontrib><creatorcontrib>Yang, Dingding</creatorcontrib><creatorcontrib>Jiang, Chenglin</creatorcontrib><title>The correlation between dynamic phenomena of boreholes for outburst prediction and outburst risks during coal roadways driving</title><title>Fuel (Guildford)</title><description>•A device simulating the outburst prediction of coal roadways was designed.•The correlation among dynamic phenomenon was investigated.•Characteristics of stress changes of coal masses around the borehole were analyzed.
Coal and gas outburst accidents occurring in underground coal mines generally cause great casualties and economic losses, especially in construction areas of coal seams where the outburst risks are not accurately evaluated. Therefore, accurately identifying the outburst risks of coal seams is necessary and critical to prevent and control outbursts. In order to improve the prediction accuracy for outbursts in working faces of coal roadways, a self-designed drilling device that can simulate the in-situ outburst prediction of coal roadways was used in this study. We used the coal samples with different coal ranks to adsorb CO2 and N2 with different pressures in the laboratory, so as to simulate the coal seams with different outburst risks. Finally, boreholes for predicting the outburst risk were drilled in the simulated coal seams to study the correlation between common dynamic phenomena (e.g. gas and coal being ejected from the borehole (GCEB) and drill pipe being stuck by coal mass in the borehole (DPSC)) and outburst risks. The results show that the greater the outburst risks of coal seams, the more frequent the occurrence of GCEB and DPSC is. The GCEB phenomenon for outburst prediction is attributed to small-sized coal and gas outbursts in boreholes, while the occurrence of DPSC phenomenon does not affirm that there definitely are outburst risks on working faces.
The DPSC phenomenon indicating outburst risks is generally accompanied with GCEB, which form a linkage system and are triggered successively.</description><subject>Boreholes</subject><subject>Briquette coal</subject><subject>Carbon dioxide</subject><subject>Casualties</subject><subject>Coal</subject><subject>Coal and gas outburst</subject><subject>Coal gas outbursts</subject><subject>Coal mines</subject><subject>Coal mining</subject><subject>Correlation analysis</subject><subject>Drill pipe</subject><subject>Drilling</subject><subject>Driving</subject><subject>Driving ability</subject><subject>Economic impact</subject><subject>Ejection</subject><subject>Energy</subject><subject>Gas expansion energy</subject><subject>Gas pressure</subject><subject>Gases</subject><subject>Predictions</subject><subject>Risk prediction</subject><subject>Roads</subject><subject>Simulation</subject><subject>Stress</subject><subject>Underground mines</subject><issn>0016-2361</issn><issn>1873-7153</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2018</creationdate><recordtype>article</recordtype><recordid>eNp9kEtLLDEQRoNcwbnqH3AVuOse8-hHGu5G5D4EwY2uQzqpOBl7krHSrczG327GEdy5Kjh8p6r4CLngbMkZby_XSz_DuBSMqyVrCuuPyIKrTlYdb-QPsmAlVQnZ8hPyM-c1Y6xTTb0gb_croDYhwmimkCIdYHoFiNTtotkES7criGkD0dDk6ZAQVmmETH1CmuZpmDFPdIvggv3QTXRfHEN-ytTNGOJjOWJGism4V7MrEMNLoWfk2Jsxw_nnPCUPf__cX_-vbu_-3Vxf3VZWts1UGSebvhFCdRx4z6Cuwbmul7W0qmVKDqKre-9NpzwwU3MFtpWy94NnTjlu5Sn5ddi7xfQ8Q570Os0Yy0ktWM9a0QnJS0ocUhZTzghebzFsDO40Z3rfs17rfc9637NmTWF9kX4fJCj_vwRAnW2AaEslCHbSLoXv9HfxuYmV</recordid><startdate>20181101</startdate><enddate>20181101</enddate><creator>Wang, Chaojie</creator><creator>Yang, Shengqiang</creator><creator>Li, Xiaowei</creator><creator>Yang, Dingding</creator><creator>Jiang, Chenglin</creator><general>Elsevier Ltd</general><general>Elsevier BV</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7QF</scope><scope>7QO</scope><scope>7QQ</scope><scope>7SC</scope><scope>7SE</scope><scope>7SP</scope><scope>7SR</scope><scope>7T7</scope><scope>7TA</scope><scope>7TB</scope><scope>7U5</scope><scope>8BQ</scope><scope>8FD</scope><scope>C1K</scope><scope>F28</scope><scope>FR3</scope><scope>H8D</scope><scope>H8G</scope><scope>JG9</scope><scope>JQ2</scope><scope>KR7</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope><scope>P64</scope><orcidid>https://orcid.org/0000-0002-9311-903X</orcidid></search><sort><creationdate>20181101</creationdate><title>The correlation between dynamic phenomena of boreholes for outburst prediction and outburst risks during coal roadways driving</title><author>Wang, Chaojie ; Yang, Shengqiang ; Li, Xiaowei ; Yang, Dingding ; Jiang, Chenglin</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c365t-ad359522871e190e44edd79343c86083b2749ffa78fe0a418ec6339fbf0d8d1c3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2018</creationdate><topic>Boreholes</topic><topic>Briquette coal</topic><topic>Carbon dioxide</topic><topic>Casualties</topic><topic>Coal</topic><topic>Coal and gas outburst</topic><topic>Coal gas outbursts</topic><topic>Coal mines</topic><topic>Coal mining</topic><topic>Correlation analysis</topic><topic>Drill pipe</topic><topic>Drilling</topic><topic>Driving</topic><topic>Driving ability</topic><topic>Economic impact</topic><topic>Ejection</topic><topic>Energy</topic><topic>Gas expansion energy</topic><topic>Gas pressure</topic><topic>Gases</topic><topic>Predictions</topic><topic>Risk prediction</topic><topic>Roads</topic><topic>Simulation</topic><topic>Stress</topic><topic>Underground mines</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Wang, Chaojie</creatorcontrib><creatorcontrib>Yang, Shengqiang</creatorcontrib><creatorcontrib>Li, Xiaowei</creatorcontrib><creatorcontrib>Yang, Dingding</creatorcontrib><creatorcontrib>Jiang, Chenglin</creatorcontrib><collection>CrossRef</collection><collection>Aluminium Industry Abstracts</collection><collection>Biotechnology Research Abstracts</collection><collection>Ceramic Abstracts</collection><collection>Computer and Information Systems Abstracts</collection><collection>Corrosion Abstracts</collection><collection>Electronics & Communications Abstracts</collection><collection>Engineered Materials Abstracts</collection><collection>Industrial and Applied Microbiology Abstracts (Microbiology A)</collection><collection>Materials Business File</collection><collection>Mechanical & Transportation Engineering Abstracts</collection><collection>Solid State and Superconductivity Abstracts</collection><collection>METADEX</collection><collection>Technology Research Database</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ANTE: Abstracts in New Technology & Engineering</collection><collection>Engineering Research Database</collection><collection>Aerospace Database</collection><collection>Copper Technical Reference Library</collection><collection>Materials Research Database</collection><collection>ProQuest Computer Science Collection</collection><collection>Civil Engineering Abstracts</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><collection>Biotechnology and BioEngineering Abstracts</collection><jtitle>Fuel (Guildford)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Wang, Chaojie</au><au>Yang, Shengqiang</au><au>Li, Xiaowei</au><au>Yang, Dingding</au><au>Jiang, Chenglin</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>The correlation between dynamic phenomena of boreholes for outburst prediction and outburst risks during coal roadways driving</atitle><jtitle>Fuel (Guildford)</jtitle><date>2018-11-01</date><risdate>2018</risdate><volume>231</volume><spage>307</spage><epage>316</epage><pages>307-316</pages><issn>0016-2361</issn><eissn>1873-7153</eissn><abstract>•A device simulating the outburst prediction of coal roadways was designed.•The correlation among dynamic phenomenon was investigated.•Characteristics of stress changes of coal masses around the borehole were analyzed.
Coal and gas outburst accidents occurring in underground coal mines generally cause great casualties and economic losses, especially in construction areas of coal seams where the outburst risks are not accurately evaluated. Therefore, accurately identifying the outburst risks of coal seams is necessary and critical to prevent and control outbursts. In order to improve the prediction accuracy for outbursts in working faces of coal roadways, a self-designed drilling device that can simulate the in-situ outburst prediction of coal roadways was used in this study. We used the coal samples with different coal ranks to adsorb CO2 and N2 with different pressures in the laboratory, so as to simulate the coal seams with different outburst risks. Finally, boreholes for predicting the outburst risk were drilled in the simulated coal seams to study the correlation between common dynamic phenomena (e.g. gas and coal being ejected from the borehole (GCEB) and drill pipe being stuck by coal mass in the borehole (DPSC)) and outburst risks. The results show that the greater the outburst risks of coal seams, the more frequent the occurrence of GCEB and DPSC is. The GCEB phenomenon for outburst prediction is attributed to small-sized coal and gas outbursts in boreholes, while the occurrence of DPSC phenomenon does not affirm that there definitely are outburst risks on working faces.
The DPSC phenomenon indicating outburst risks is generally accompanied with GCEB, which form a linkage system and are triggered successively.</abstract><cop>Kidlington</cop><pub>Elsevier Ltd</pub><doi>10.1016/j.fuel.2018.05.109</doi><tpages>10</tpages><orcidid>https://orcid.org/0000-0002-9311-903X</orcidid></addata></record> |
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| source | Elsevier ScienceDirect Journals |
| subjects | Boreholes Briquette coal Carbon dioxide Casualties Coal Coal and gas outburst Coal gas outbursts Coal mines Coal mining Correlation analysis Drill pipe Drilling Driving Driving ability Economic impact Ejection Energy Gas expansion energy Gas pressure Gases Predictions Risk prediction Roads Simulation Stress Underground mines |
| title | The correlation between dynamic phenomena of boreholes for outburst prediction and outburst risks during coal roadways driving |
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