Mapping deeply‐buried geothermal faults using microtremor array analysis
SUMMARY In this paper, the spatial autocorrelation microtremor array analysis is utilized to map deeply‐buried subtle faults that have primary controls on geothermal reservoirs. We identified a low‐velocity anomaly which is approximately 50 m wide at about 550–1400 m deep. A well drilled based on th...
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Veröffentlicht in: | Geophysical journal international 2012-01, Vol.188 (1), p.115-122 |
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creator | Xu, Peifen Ling, Suqun Li, Chuanjin Du, Jianguo Zhang, Dengming Xu, Xueqiu Dai, Kangming Zhang, Zuohong |
description | SUMMARY
In this paper, the spatial autocorrelation microtremor array analysis is utilized to map deeply‐buried subtle faults that have primary controls on geothermal reservoirs. We identified a low‐velocity anomaly which is approximately 50 m wide at about 550–1400 m deep. A well drilled based on this anomaly later successfully produced hot water and further proved that the low‐velocity anomaly was caused by a highly fractured zone at depths from 700 to 1500 m. Our results clearly demonstrate that the microtremor survey method can be effectively utilized to map deeply‐buried faults and structures for geothermal energy exploration. The most effective way to increase the drilling success rate and, hence reduce the geothermal exploration risk, seems to be the development of new exploration methods and the integration of various geophysical technologies. |
doi_str_mv | 10.1111/j.1365-246X.2011.05266.x |
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In this paper, the spatial autocorrelation microtremor array analysis is utilized to map deeply‐buried subtle faults that have primary controls on geothermal reservoirs. We identified a low‐velocity anomaly which is approximately 50 m wide at about 550–1400 m deep. A well drilled based on this anomaly later successfully produced hot water and further proved that the low‐velocity anomaly was caused by a highly fractured zone at depths from 700 to 1500 m. Our results clearly demonstrate that the microtremor survey method can be effectively utilized to map deeply‐buried faults and structures for geothermal energy exploration. The most effective way to increase the drilling success rate and, hence reduce the geothermal exploration risk, seems to be the development of new exploration methods and the integration of various geophysical technologies.</description><identifier>ISSN: 0956-540X</identifier><identifier>EISSN: 1365-246X</identifier><identifier>DOI: 10.1111/j.1365-246X.2011.05266.x</identifier><language>eng</language><publisher>Oxford, UK: Blackwell Publishing Ltd</publisher><subject>Anomalies ; Arrays ; Asia ; Drilling ; Exploration ; Faults ; Fractures and faults ; Geophysics ; Geothermal ; Hot water ; Hydrogeophysics ; Hydrothermal systems ; Time series analysis</subject><ispartof>Geophysical journal international, 2012-01, Vol.188 (1), p.115-122</ispartof><rights>2011 The Authors Geophysical Journal International © 2011 RAS</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-a3706-cceeea5434c550430e1a997964a1744529a2825d69ee3e79cfb47c8e28cf4af53</citedby></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1111%2Fj.1365-246X.2011.05266.x$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1111%2Fj.1365-246X.2011.05266.x$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>314,776,780,1411,27901,27902,45550,45551</link.rule.ids></links><search><creatorcontrib>Xu, Peifen</creatorcontrib><creatorcontrib>Ling, Suqun</creatorcontrib><creatorcontrib>Li, Chuanjin</creatorcontrib><creatorcontrib>Du, Jianguo</creatorcontrib><creatorcontrib>Zhang, Dengming</creatorcontrib><creatorcontrib>Xu, Xueqiu</creatorcontrib><creatorcontrib>Dai, Kangming</creatorcontrib><creatorcontrib>Zhang, Zuohong</creatorcontrib><title>Mapping deeply‐buried geothermal faults using microtremor array analysis</title><title>Geophysical journal international</title><description>SUMMARY
In this paper, the spatial autocorrelation microtremor array analysis is utilized to map deeply‐buried subtle faults that have primary controls on geothermal reservoirs. We identified a low‐velocity anomaly which is approximately 50 m wide at about 550–1400 m deep. A well drilled based on this anomaly later successfully produced hot water and further proved that the low‐velocity anomaly was caused by a highly fractured zone at depths from 700 to 1500 m. Our results clearly demonstrate that the microtremor survey method can be effectively utilized to map deeply‐buried faults and structures for geothermal energy exploration. The most effective way to increase the drilling success rate and, hence reduce the geothermal exploration risk, seems to be the development of new exploration methods and the integration of various geophysical technologies.</description><subject>Anomalies</subject><subject>Arrays</subject><subject>Asia</subject><subject>Drilling</subject><subject>Exploration</subject><subject>Faults</subject><subject>Fractures and faults</subject><subject>Geophysics</subject><subject>Geothermal</subject><subject>Hot water</subject><subject>Hydrogeophysics</subject><subject>Hydrothermal systems</subject><subject>Time series analysis</subject><issn>0956-540X</issn><issn>1365-246X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2012</creationdate><recordtype>article</recordtype><recordid>eNo9kLFOwzAURS0EEqXwDxlZEmzHdpKBAVVQWhWxgNTNenVfiiunCXYimo1P4Bv5EhqKeMt90j26wyEkYjRhh7vZJixVMuZCLRNOGUuo5Eol-xMy-i9OyYgWUsVS0OU5uQhhSykTTOQjMn-CprG7TbRGbFz__fm16rzFdbTBun1DX4GLSuhcG6IuDFxlja9bj1XtI_Ae-gh24PpgwyU5K8EFvPrLMXl9uH-ZPMaL5-lscreIIc2oio1BRJAiFUZKKlKKDIoiK5QAlgkheQE853KtCsQUs8KUK5GZHHluSgGlTMfk-rjb-Pq9w9DqygaDzsEO6y5oRhnNcyGYOqC3R_TDOux1420Fvj8QenCnt3pQpAdFenCnf93pvZ7OZ8OX_gCMvWci</recordid><startdate>201201</startdate><enddate>201201</enddate><creator>Xu, Peifen</creator><creator>Ling, Suqun</creator><creator>Li, Chuanjin</creator><creator>Du, Jianguo</creator><creator>Zhang, Dengming</creator><creator>Xu, Xueqiu</creator><creator>Dai, Kangming</creator><creator>Zhang, Zuohong</creator><general>Blackwell Publishing Ltd</general><scope>7SM</scope><scope>8FD</scope><scope>FR3</scope><scope>H8D</scope><scope>KR7</scope><scope>L7M</scope></search><sort><creationdate>201201</creationdate><title>Mapping deeply‐buried geothermal faults using microtremor array analysis</title><author>Xu, Peifen ; Ling, Suqun ; Li, Chuanjin ; Du, Jianguo ; Zhang, Dengming ; Xu, Xueqiu ; Dai, Kangming ; Zhang, Zuohong</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-a3706-cceeea5434c550430e1a997964a1744529a2825d69ee3e79cfb47c8e28cf4af53</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2012</creationdate><topic>Anomalies</topic><topic>Arrays</topic><topic>Asia</topic><topic>Drilling</topic><topic>Exploration</topic><topic>Faults</topic><topic>Fractures and faults</topic><topic>Geophysics</topic><topic>Geothermal</topic><topic>Hot water</topic><topic>Hydrogeophysics</topic><topic>Hydrothermal systems</topic><topic>Time series analysis</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Xu, Peifen</creatorcontrib><creatorcontrib>Ling, Suqun</creatorcontrib><creatorcontrib>Li, Chuanjin</creatorcontrib><creatorcontrib>Du, Jianguo</creatorcontrib><creatorcontrib>Zhang, Dengming</creatorcontrib><creatorcontrib>Xu, Xueqiu</creatorcontrib><creatorcontrib>Dai, Kangming</creatorcontrib><creatorcontrib>Zhang, Zuohong</creatorcontrib><collection>Earthquake Engineering Abstracts</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>Aerospace Database</collection><collection>Civil Engineering Abstracts</collection><collection>Advanced Technologies Database with Aerospace</collection><jtitle>Geophysical journal international</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Xu, Peifen</au><au>Ling, Suqun</au><au>Li, Chuanjin</au><au>Du, Jianguo</au><au>Zhang, Dengming</au><au>Xu, Xueqiu</au><au>Dai, Kangming</au><au>Zhang, Zuohong</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Mapping deeply‐buried geothermal faults using microtremor array analysis</atitle><jtitle>Geophysical journal international</jtitle><date>2012-01</date><risdate>2012</risdate><volume>188</volume><issue>1</issue><spage>115</spage><epage>122</epage><pages>115-122</pages><issn>0956-540X</issn><eissn>1365-246X</eissn><abstract>SUMMARY
In this paper, the spatial autocorrelation microtremor array analysis is utilized to map deeply‐buried subtle faults that have primary controls on geothermal reservoirs. We identified a low‐velocity anomaly which is approximately 50 m wide at about 550–1400 m deep. A well drilled based on this anomaly later successfully produced hot water and further proved that the low‐velocity anomaly was caused by a highly fractured zone at depths from 700 to 1500 m. Our results clearly demonstrate that the microtremor survey method can be effectively utilized to map deeply‐buried faults and structures for geothermal energy exploration. The most effective way to increase the drilling success rate and, hence reduce the geothermal exploration risk, seems to be the development of new exploration methods and the integration of various geophysical technologies.</abstract><cop>Oxford, UK</cop><pub>Blackwell Publishing Ltd</pub><doi>10.1111/j.1365-246X.2011.05266.x</doi><tpages>8</tpages><oa>free_for_read</oa></addata></record> |
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source | Oxford Journals Open Access Collection; Wiley Online Library Journals Frontfile Complete |
subjects | Anomalies Arrays Asia Drilling Exploration Faults Fractures and faults Geophysics Geothermal Hot water Hydrogeophysics Hydrothermal systems Time series analysis |
title | Mapping deeply‐buried geothermal faults using microtremor array analysis |
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