Born approximation imaging technique for electrical source multi-component TEM
Abstract In this study, to obtain higher-resolution geoinformation in the electrical source transient electromagnetic method (TEM) interpretation, the pseudo-seismic Born approximation imaging method is applied to the vertical magnetic induction intensity ${B_z}$ and the horizontal electric field ${...
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Veröffentlicht in: | Journal of geophysics and engineering 2022-06, Vol.19 (3), p.418-432 |
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creator | Fan, Ya'nan Lu, Kailiang Li, Xiu Qi, Zhipeng |
description | Abstract
In this study, to obtain higher-resolution geoinformation in the electrical source transient electromagnetic method (TEM) interpretation, the pseudo-seismic Born approximation imaging method is applied to the vertical magnetic induction intensity ${B_z}$ and the horizontal electric field ${E_y}$, which is paralleled to the source. First, the differences between the two components are compared, and the results reveal that different components can reflect varied geological information. ${E_y}$ has a stronger signal and is more sensitive to the high-resistivity layer at a long offset, whereas ${B_z}$ has a greater relative difference in the low-resistivity layer at a short offset. The TEM field is then transformed into the pseudo-wavefield using the wavefield transformation method and the Born approximation pseudo-seismic imaging method is adopted to locate the electrical interface. After calculating the 3D model, the results indicate that the multi-component Born approximate imaging can intuitively and effectively locate the depth of the geological interface. Furthermore, the imaging results of a coal mine located in Gansu Province, China, proves that the proposed method can pinpoint the buried location of the coal goaf as well as the stratum trend. In general, the multi-component pseudo-seismic imaging technique plays a significant role in interpreting the electrical source TEM data. |
doi_str_mv | 10.1093/jge/gxac030 |
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In this study, to obtain higher-resolution geoinformation in the electrical source transient electromagnetic method (TEM) interpretation, the pseudo-seismic Born approximation imaging method is applied to the vertical magnetic induction intensity ${B_z}$ and the horizontal electric field ${E_y}$, which is paralleled to the source. First, the differences between the two components are compared, and the results reveal that different components can reflect varied geological information. ${E_y}$ has a stronger signal and is more sensitive to the high-resistivity layer at a long offset, whereas ${B_z}$ has a greater relative difference in the low-resistivity layer at a short offset. The TEM field is then transformed into the pseudo-wavefield using the wavefield transformation method and the Born approximation pseudo-seismic imaging method is adopted to locate the electrical interface. After calculating the 3D model, the results indicate that the multi-component Born approximate imaging can intuitively and effectively locate the depth of the geological interface. Furthermore, the imaging results of a coal mine located in Gansu Province, China, proves that the proposed method can pinpoint the buried location of the coal goaf as well as the stratum trend. In general, the multi-component pseudo-seismic imaging technique plays a significant role in interpreting the electrical source TEM data.</description><identifier>ISSN: 1742-2132</identifier><identifier>EISSN: 1742-2140</identifier><identifier>DOI: 10.1093/jge/gxac030</identifier><language>eng</language><publisher>Oxford University Press</publisher><ispartof>Journal of geophysics and engineering, 2022-06, Vol.19 (3), p.418-432</ispartof><rights>The Author(s) 2022. Published by Oxford University Press on behalf of the Sinopec Geophysical Research Institute. 2022</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c1460-a24fbc7b8a6395919c7f41c94d60eed19e6ac50b1a716c30a5c98c1fc319b70a3</citedby><cites>FETCH-LOGICAL-c1460-a24fbc7b8a6395919c7f41c94d60eed19e6ac50b1a716c30a5c98c1fc319b70a3</cites><orcidid>0000-0002-6490-9809</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,776,780,860,27901,27902</link.rule.ids></links><search><creatorcontrib>Fan, Ya'nan</creatorcontrib><creatorcontrib>Lu, Kailiang</creatorcontrib><creatorcontrib>Li, Xiu</creatorcontrib><creatorcontrib>Qi, Zhipeng</creatorcontrib><title>Born approximation imaging technique for electrical source multi-component TEM</title><title>Journal of geophysics and engineering</title><description>Abstract
In this study, to obtain higher-resolution geoinformation in the electrical source transient electromagnetic method (TEM) interpretation, the pseudo-seismic Born approximation imaging method is applied to the vertical magnetic induction intensity ${B_z}$ and the horizontal electric field ${E_y}$, which is paralleled to the source. First, the differences between the two components are compared, and the results reveal that different components can reflect varied geological information. ${E_y}$ has a stronger signal and is more sensitive to the high-resistivity layer at a long offset, whereas ${B_z}$ has a greater relative difference in the low-resistivity layer at a short offset. The TEM field is then transformed into the pseudo-wavefield using the wavefield transformation method and the Born approximation pseudo-seismic imaging method is adopted to locate the electrical interface. After calculating the 3D model, the results indicate that the multi-component Born approximate imaging can intuitively and effectively locate the depth of the geological interface. Furthermore, the imaging results of a coal mine located in Gansu Province, China, proves that the proposed method can pinpoint the buried location of the coal goaf as well as the stratum trend. In general, the multi-component pseudo-seismic imaging technique plays a significant role in interpreting the electrical source TEM data.</description><issn>1742-2132</issn><issn>1742-2140</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><sourceid>TOX</sourceid><recordid>eNp9kD1PwzAURS0EEqUw8Qc8saDQ92InqUeoyodUYClz5LzaIVVqBzuRyr8nqBUjb7lvOLq6OoxdI9whKDHb1mZW7zWBgBM2wUKmSYoSTv9-kZ6zixi3AGK8bMLeHnxwXHdd8Ptmp_vGOz5m3bia94Y-XfM1GG594KY11IeGdMujHwIZvhvavknI7zrvjOv5evl6yc6sbqO5OuaUfTwu14vnZPX-9LK4XyWEModEp9JWVFRznQuVKVRUWImk5CYHYzaoTK4pgwp1gTkJ0BmpOaElgaoqQIspuz30UvAxBmPLLoyzw3eJUP6qKEcV5VHFSN8caD90_4I_oJ1hHQ</recordid><startdate>20220601</startdate><enddate>20220601</enddate><creator>Fan, Ya'nan</creator><creator>Lu, Kailiang</creator><creator>Li, Xiu</creator><creator>Qi, Zhipeng</creator><general>Oxford University Press</general><scope>TOX</scope><scope>AAYXX</scope><scope>CITATION</scope><orcidid>https://orcid.org/0000-0002-6490-9809</orcidid></search><sort><creationdate>20220601</creationdate><title>Born approximation imaging technique for electrical source multi-component TEM</title><author>Fan, Ya'nan ; Lu, Kailiang ; Li, Xiu ; Qi, Zhipeng</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c1460-a24fbc7b8a6395919c7f41c94d60eed19e6ac50b1a716c30a5c98c1fc319b70a3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Fan, Ya'nan</creatorcontrib><creatorcontrib>Lu, Kailiang</creatorcontrib><creatorcontrib>Li, Xiu</creatorcontrib><creatorcontrib>Qi, Zhipeng</creatorcontrib><collection>Oxford Journals Open Access Collection</collection><collection>CrossRef</collection><jtitle>Journal of geophysics and engineering</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Fan, Ya'nan</au><au>Lu, Kailiang</au><au>Li, Xiu</au><au>Qi, Zhipeng</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Born approximation imaging technique for electrical source multi-component TEM</atitle><jtitle>Journal of geophysics and engineering</jtitle><date>2022-06-01</date><risdate>2022</risdate><volume>19</volume><issue>3</issue><spage>418</spage><epage>432</epage><pages>418-432</pages><issn>1742-2132</issn><eissn>1742-2140</eissn><abstract>Abstract
In this study, to obtain higher-resolution geoinformation in the electrical source transient electromagnetic method (TEM) interpretation, the pseudo-seismic Born approximation imaging method is applied to the vertical magnetic induction intensity ${B_z}$ and the horizontal electric field ${E_y}$, which is paralleled to the source. First, the differences between the two components are compared, and the results reveal that different components can reflect varied geological information. ${E_y}$ has a stronger signal and is more sensitive to the high-resistivity layer at a long offset, whereas ${B_z}$ has a greater relative difference in the low-resistivity layer at a short offset. The TEM field is then transformed into the pseudo-wavefield using the wavefield transformation method and the Born approximation pseudo-seismic imaging method is adopted to locate the electrical interface. After calculating the 3D model, the results indicate that the multi-component Born approximate imaging can intuitively and effectively locate the depth of the geological interface. Furthermore, the imaging results of a coal mine located in Gansu Province, China, proves that the proposed method can pinpoint the buried location of the coal goaf as well as the stratum trend. In general, the multi-component pseudo-seismic imaging technique plays a significant role in interpreting the electrical source TEM data.</abstract><pub>Oxford University Press</pub><doi>10.1093/jge/gxac030</doi><tpages>15</tpages><orcidid>https://orcid.org/0000-0002-6490-9809</orcidid><oa>free_for_read</oa></addata></record> |
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title | Born approximation imaging technique for electrical source multi-component TEM |
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