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A numerical simulation technique to study fault activation characteristics during mining between fault bundles
Faults, especially fault bundles, elevate the difficulties of predicting, preventing and controlling water inrush during coal seam mining. This paper takes the no. 163 mining area at Jiangzhuang Coal Mine of Shandong Province, China, as a case study. A series of faults form structural patterns consi...
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Published in: | Environmental earth sciences 2019-03, Vol.78 (5), p.1-11, Article 148 |
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description | Faults, especially fault bundles, elevate the difficulties of predicting, preventing and controlling water inrush during coal seam mining. This paper takes the no. 163 mining area at Jiangzhuang Coal Mine of Shandong Province, China, as a case study. A series of faults form structural patterns consisting of the graben-horst and fault terrace in the study area. The key technical challenge lies in fault activation, which affects sizing of economic and safe coal-pillar around the fault bundles. An innovative numerical simulation technique was applied to understand the movement law of coal seam roof and floor and fault activation among the fault bundles under different mining plans. The results show that reasonable arrangement of mining sequence in the working faces is an effective method to reduce the influence from faults. In addition, coal seam roof and floor damage and faults activation are different during mining under the graben-horst and fault terrace settings. Moreover, the horizontal and vertical displacement values of each point on fault plane of hanging wall and footwall indicate that the maximum displacement is related to roof water-conducting fractured zone and floor damage zone, which increase the probability of fault activation. Based on the research results, a reasonable coal-pillar width was designed beside the fault bundle in the no. 16301 working face of the no. 163 mining area, and the mining was completed safely with significant economic benefits for Jiangzhuang Coal Mine. |
doi_str_mv | 10.1007/s12665-019-8142-2 |
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This paper takes the no. 163 mining area at Jiangzhuang Coal Mine of Shandong Province, China, as a case study. A series of faults form structural patterns consisting of the graben-horst and fault terrace in the study area. The key technical challenge lies in fault activation, which affects sizing of economic and safe coal-pillar around the fault bundles. An innovative numerical simulation technique was applied to understand the movement law of coal seam roof and floor and fault activation among the fault bundles under different mining plans. The results show that reasonable arrangement of mining sequence in the working faces is an effective method to reduce the influence from faults. In addition, coal seam roof and floor damage and faults activation are different during mining under the graben-horst and fault terrace settings. Moreover, the horizontal and vertical displacement values of each point on fault plane of hanging wall and footwall indicate that the maximum displacement is related to roof water-conducting fractured zone and floor damage zone, which increase the probability of fault activation. Based on the research results, a reasonable coal-pillar width was designed beside the fault bundle in the no. 16301 working face of the no. 163 mining area, and the mining was completed safely with significant economic benefits for Jiangzhuang Coal Mine.</description><identifier>ISSN: 1866-6280</identifier><identifier>EISSN: 1866-6299</identifier><identifier>DOI: 10.1007/s12665-019-8142-2</identifier><language>eng</language><publisher>Berlin/Heidelberg: Springer Berlin Heidelberg</publisher><subject>Activation ; Area ; Biogeosciences ; Bundles ; Bundling ; Case studies ; Coal ; Coal mines ; Coal mining ; Computer simulation ; Damage ; Displacement ; Earth and Environmental Science ; Earth Sciences ; Economic benefits ; Economics ; Environmental Science and Engineering ; Faults ; Floors ; Fractures ; Geochemistry ; Geology ; Graben ; Hanging walls ; Hydrology/Water Resources ; Mathematical models ; Mining ; Numerical simulations ; Original Article ; Predictive control ; Probability theory ; Simulation ; Terrestrial Pollution ; Water inrush</subject><ispartof>Environmental earth sciences, 2019-03, Vol.78 (5), p.1-11, Article 148</ispartof><rights>Springer-Verlag GmbH Germany, part of Springer Nature 2019</rights><rights>Environmental Earth Sciences is a copyright of Springer, (2019). All Rights Reserved.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-a382t-3df1502953910d1020c255630d5d3170283b508ee5fcbba4e35b9932ef0f67323</citedby><cites>FETCH-LOGICAL-a382t-3df1502953910d1020c255630d5d3170283b508ee5fcbba4e35b9932ef0f67323</cites><orcidid>0000-0002-2752-765X</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27924,27925</link.rule.ids></links><search><creatorcontrib>Yin, Huiyong</creatorcontrib><creatorcontrib>Sang, Shizhen</creatorcontrib><creatorcontrib>Xie, Daolei</creatorcontrib><creatorcontrib>Zhao, Han</creatorcontrib><creatorcontrib>Li, Shujing</creatorcontrib><creatorcontrib>Li, Haisong</creatorcontrib><creatorcontrib>Zhuang, Xuehou</creatorcontrib><title>A numerical simulation technique to study fault activation characteristics during mining between fault bundles</title><title>Environmental earth sciences</title><addtitle>Environ Earth Sci</addtitle><description>Faults, especially fault bundles, elevate the difficulties of predicting, preventing and controlling water inrush during coal seam mining. This paper takes the no. 163 mining area at Jiangzhuang Coal Mine of Shandong Province, China, as a case study. A series of faults form structural patterns consisting of the graben-horst and fault terrace in the study area. The key technical challenge lies in fault activation, which affects sizing of economic and safe coal-pillar around the fault bundles. An innovative numerical simulation technique was applied to understand the movement law of coal seam roof and floor and fault activation among the fault bundles under different mining plans. The results show that reasonable arrangement of mining sequence in the working faces is an effective method to reduce the influence from faults. In addition, coal seam roof and floor damage and faults activation are different during mining under the graben-horst and fault terrace settings. Moreover, the horizontal and vertical displacement values of each point on fault plane of hanging wall and footwall indicate that the maximum displacement is related to roof water-conducting fractured zone and floor damage zone, which increase the probability of fault activation. Based on the research results, a reasonable coal-pillar width was designed beside the fault bundle in the no. 16301 working face of the no. 163 mining area, and the mining was completed safely with significant economic benefits for Jiangzhuang Coal Mine.</description><subject>Activation</subject><subject>Area</subject><subject>Biogeosciences</subject><subject>Bundles</subject><subject>Bundling</subject><subject>Case studies</subject><subject>Coal</subject><subject>Coal mines</subject><subject>Coal mining</subject><subject>Computer simulation</subject><subject>Damage</subject><subject>Displacement</subject><subject>Earth and Environmental Science</subject><subject>Earth Sciences</subject><subject>Economic benefits</subject><subject>Economics</subject><subject>Environmental Science and Engineering</subject><subject>Faults</subject><subject>Floors</subject><subject>Fractures</subject><subject>Geochemistry</subject><subject>Geology</subject><subject>Graben</subject><subject>Hanging walls</subject><subject>Hydrology/Water Resources</subject><subject>Mathematical models</subject><subject>Mining</subject><subject>Numerical simulations</subject><subject>Original Article</subject><subject>Predictive control</subject><subject>Probability theory</subject><subject>Simulation</subject><subject>Terrestrial Pollution</subject><subject>Water inrush</subject><issn>1866-6280</issn><issn>1866-6299</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><recordid>eNp1UE1LxDAUDKLgsu4P8BbwXH1JmjQ5LotfIHjRc0jb1M3STdd8KPvvbemiJ99l3oOZecwgdE3glgBUd5FQIXgBRBWSlLSgZ2hBpBCFoEqd_-4SLtEqxh2MwwhTIBbIr7HPextcY3oc3T73JrnB42SbrXef2eI04Jhye8SdyX3Cpknua-Y0WxPGcxTH5JqI2xyc_8B75yeobfq21p9kdfZtb-MVuuhMH-3qhEv0_nD_tnkqXl4fnzfrl8IwSVPB2o5woIozRaAlQKGhnAsGLW8ZqYBKVnOQ1vKuqWtTWsZrpRi1HXSiYpQt0c3sewjDGCImvRty8ONLTYnkklSlLEcWmVlNGGIMttOH4PYmHDUBPTWr52b12KyemtWTM5018TClteHP-X_RDxjsfHc</recordid><startdate>20190301</startdate><enddate>20190301</enddate><creator>Yin, Huiyong</creator><creator>Sang, Shizhen</creator><creator>Xie, Daolei</creator><creator>Zhao, Han</creator><creator>Li, Shujing</creator><creator>Li, Haisong</creator><creator>Zhuang, Xuehou</creator><general>Springer Berlin Heidelberg</general><general>Springer Nature B.V</general><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7ST</scope><scope>7TG</scope><scope>7UA</scope><scope>7XB</scope><scope>88I</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>BKSAR</scope><scope>C1K</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>F1W</scope><scope>GNUQQ</scope><scope>H96</scope><scope>HCIFZ</scope><scope>KL.</scope><scope>L.G</scope><scope>M2P</scope><scope>PATMY</scope><scope>PCBAR</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PYCSY</scope><scope>Q9U</scope><scope>SOI</scope><orcidid>https://orcid.org/0000-0002-2752-765X</orcidid></search><sort><creationdate>20190301</creationdate><title>A numerical simulation technique to study fault activation characteristics during mining between fault bundles</title><author>Yin, Huiyong ; Sang, Shizhen ; Xie, Daolei ; Zhao, Han ; Li, Shujing ; Li, Haisong ; Zhuang, Xuehou</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-a382t-3df1502953910d1020c255630d5d3170283b508ee5fcbba4e35b9932ef0f67323</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2019</creationdate><topic>Activation</topic><topic>Area</topic><topic>Biogeosciences</topic><topic>Bundles</topic><topic>Bundling</topic><topic>Case studies</topic><topic>Coal</topic><topic>Coal mines</topic><topic>Coal mining</topic><topic>Computer simulation</topic><topic>Damage</topic><topic>Displacement</topic><topic>Earth and Environmental Science</topic><topic>Earth Sciences</topic><topic>Economic benefits</topic><topic>Economics</topic><topic>Environmental Science and Engineering</topic><topic>Faults</topic><topic>Floors</topic><topic>Fractures</topic><topic>Geochemistry</topic><topic>Geology</topic><topic>Graben</topic><topic>Hanging walls</topic><topic>Hydrology/Water Resources</topic><topic>Mathematical models</topic><topic>Mining</topic><topic>Numerical simulations</topic><topic>Original Article</topic><topic>Predictive control</topic><topic>Probability theory</topic><topic>Simulation</topic><topic>Terrestrial Pollution</topic><topic>Water inrush</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Yin, Huiyong</creatorcontrib><creatorcontrib>Sang, Shizhen</creatorcontrib><creatorcontrib>Xie, Daolei</creatorcontrib><creatorcontrib>Zhao, Han</creatorcontrib><creatorcontrib>Li, Shujing</creatorcontrib><creatorcontrib>Li, Haisong</creatorcontrib><creatorcontrib>Zhuang, Xuehou</creatorcontrib><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Environment Abstracts</collection><collection>Meteorological & Geoastrophysical Abstracts</collection><collection>Water Resources Abstracts</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Science Database (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest Central</collection><collection>Agricultural & Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Databases</collection><collection>ProQuest Natural Science Collection</collection><collection>Earth, Atmospheric & Aquatic Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central</collection><collection>ASFA: Aquatic Sciences and Fisheries Abstracts</collection><collection>ProQuest Central Student</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) 2: Ocean Technology, Policy & Non-Living Resources</collection><collection>SciTech Premium Collection (Proquest) (PQ_SDU_P3)</collection><collection>Meteorological & Geoastrophysical Abstracts - Academic</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) Professional</collection><collection>Science Database</collection><collection>Environmental Science Database</collection><collection>Earth, Atmospheric & Aquatic Science Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>Environmental Science Collection</collection><collection>ProQuest Central Basic</collection><collection>Environment Abstracts</collection><jtitle>Environmental earth sciences</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Yin, Huiyong</au><au>Sang, Shizhen</au><au>Xie, Daolei</au><au>Zhao, Han</au><au>Li, Shujing</au><au>Li, Haisong</au><au>Zhuang, Xuehou</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>A numerical simulation technique to study fault activation characteristics during mining between fault bundles</atitle><jtitle>Environmental earth sciences</jtitle><stitle>Environ Earth Sci</stitle><date>2019-03-01</date><risdate>2019</risdate><volume>78</volume><issue>5</issue><spage>1</spage><epage>11</epage><pages>1-11</pages><artnum>148</artnum><issn>1866-6280</issn><eissn>1866-6299</eissn><abstract>Faults, especially fault bundles, elevate the difficulties of predicting, preventing and controlling water inrush during coal seam mining. This paper takes the no. 163 mining area at Jiangzhuang Coal Mine of Shandong Province, China, as a case study. A series of faults form structural patterns consisting of the graben-horst and fault terrace in the study area. The key technical challenge lies in fault activation, which affects sizing of economic and safe coal-pillar around the fault bundles. An innovative numerical simulation technique was applied to understand the movement law of coal seam roof and floor and fault activation among the fault bundles under different mining plans. The results show that reasonable arrangement of mining sequence in the working faces is an effective method to reduce the influence from faults. In addition, coal seam roof and floor damage and faults activation are different during mining under the graben-horst and fault terrace settings. Moreover, the horizontal and vertical displacement values of each point on fault plane of hanging wall and footwall indicate that the maximum displacement is related to roof water-conducting fractured zone and floor damage zone, which increase the probability of fault activation. Based on the research results, a reasonable coal-pillar width was designed beside the fault bundle in the no. 16301 working face of the no. 163 mining area, and the mining was completed safely with significant economic benefits for Jiangzhuang Coal Mine.</abstract><cop>Berlin/Heidelberg</cop><pub>Springer Berlin Heidelberg</pub><doi>10.1007/s12665-019-8142-2</doi><tpages>11</tpages><orcidid>https://orcid.org/0000-0002-2752-765X</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Activation Area Biogeosciences Bundles Bundling Case studies Coal Coal mines Coal mining Computer simulation Damage Displacement Earth and Environmental Science Earth Sciences Economic benefits Economics Environmental Science and Engineering Faults Floors Fractures Geochemistry Geology Graben Hanging walls Hydrology/Water Resources Mathematical models Mining Numerical simulations Original Article Predictive control Probability theory Simulation Terrestrial Pollution Water inrush |
title | A numerical simulation technique to study fault activation characteristics during mining between fault bundles |
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