Surface‐related multiple prediction for ocean‐bottom node data based on demigration using downgoing wave imaging data
Ocean‐bottom node exploration has developed rapidly in marine seismic exploration. However, due to no illumination for the seafloor, and the observation system of the ‘less traces but more shots’ mode, the conventional surface‐related multiples elimination meets challenges for the application in the...
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Veröffentlicht in: | Geophysical Prospecting 2024-05, Vol.72 (4), p.1204-1221 |
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description | Ocean‐bottom node exploration has developed rapidly in marine seismic exploration. However, due to no illumination for the seafloor, and the observation system of the ‘less traces but more shots’ mode, the conventional surface‐related multiples elimination meets challenges for the application in the ocean‐bottom node exploration. This paper develops a new three‐dimensional surface‐related multiples elimination technique for ocean‐bottom node data. First, a three‐dimensional Kirchhoff pre‐stack time mirror migration algorithm is proposed to realize the accurate imaging for the seabed. Second, the time domain Kirchhoff demigration method is used to construct the contribution traces for multiples prediction. Finally, the surface multiples can be predicted based on the equation derived in the paper. Model tests and field data processing prove that our method can accurately predict the surface‐related multiples for ocean‐bottom node data and be helpful to the multiple elimination, which shows that the proposed technique has potential in actual ocean‐bottom node data processing. |
doi_str_mv | 10.1111/1365-2478.13359 |
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However, due to no illumination for the seafloor, and the observation system of the ‘less traces but more shots’ mode, the conventional surface‐related multiples elimination meets challenges for the application in the ocean‐bottom node exploration. This paper develops a new three‐dimensional surface‐related multiples elimination technique for ocean‐bottom node data. First, a three‐dimensional Kirchhoff pre‐stack time mirror migration algorithm is proposed to realize the accurate imaging for the seabed. Second, the time domain Kirchhoff demigration method is used to construct the contribution traces for multiples prediction. Finally, the surface multiples can be predicted based on the equation derived in the paper. Model tests and field data processing prove that our method can accurately predict the surface‐related multiples for ocean‐bottom node data and be helpful to the multiple elimination, which shows that the proposed technique has potential in actual ocean‐bottom node data processing.</description><identifier>ISSN: 0016-8025</identifier><identifier>EISSN: 1365-2478</identifier><identifier>DOI: 10.1111/1365-2478.13359</identifier><language>eng</language><publisher>Houten: Wiley Subscription Services, Inc</publisher><subject>Algorithms ; Data analysis ; Data processing ; demigration ; Imaging techniques ; multiple attenuation ; Nodes ; Ocean floor ; ocean‐bottom node ; Predictions ; Seismic exploration ; Time domain analysis ; Underwater exploration</subject><ispartof>Geophysical Prospecting, 2024-05, Vol.72 (4), p.1204-1221</ispartof><rights>2023 European Association of Geoscientists & Engineers.</rights><rights>2024 European Association of Geoscientists & Engineers.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c2699-389d8f3ee5407160e8e5de2cc92e638d72c778e0505ec5386198acb9a5ee7ec33</cites><orcidid>0000-0001-9317-1949</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1111%2F1365-2478.13359$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1111%2F1365-2478.13359$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>314,780,784,1417,27924,27925,45574,45575</link.rule.ids></links><search><creatorcontrib>Tan, Jun</creatorcontrib><creatorcontrib>Wang, Jianhua</creatorcontrib><creatorcontrib>Song, Peng</creatorcontrib><creatorcontrib>Wang, Shaowen</creatorcontrib><creatorcontrib>Xia, Dongming</creatorcontrib><creatorcontrib>Du, Guoning</creatorcontrib><creatorcontrib>Wang, Qianqian</creatorcontrib><title>Surface‐related multiple prediction for ocean‐bottom node data based on demigration using downgoing wave imaging data</title><title>Geophysical Prospecting</title><description>Ocean‐bottom node exploration has developed rapidly in marine seismic exploration. However, due to no illumination for the seafloor, and the observation system of the ‘less traces but more shots’ mode, the conventional surface‐related multiples elimination meets challenges for the application in the ocean‐bottom node exploration. This paper develops a new three‐dimensional surface‐related multiples elimination technique for ocean‐bottom node data. First, a three‐dimensional Kirchhoff pre‐stack time mirror migration algorithm is proposed to realize the accurate imaging for the seabed. Second, the time domain Kirchhoff demigration method is used to construct the contribution traces for multiples prediction. Finally, the surface multiples can be predicted based on the equation derived in the paper. Model tests and field data processing prove that our method can accurately predict the surface‐related multiples for ocean‐bottom node data and be helpful to the multiple elimination, which shows that the proposed technique has potential in actual ocean‐bottom node data processing.</description><subject>Algorithms</subject><subject>Data analysis</subject><subject>Data processing</subject><subject>demigration</subject><subject>Imaging techniques</subject><subject>multiple attenuation</subject><subject>Nodes</subject><subject>Ocean floor</subject><subject>ocean‐bottom node</subject><subject>Predictions</subject><subject>Seismic exploration</subject><subject>Time domain analysis</subject><subject>Underwater exploration</subject><issn>0016-8025</issn><issn>1365-2478</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><recordid>eNqFkE1LxDAQhoMouK6evQY8dzdpmjY9yuIXLCh-nEM2mZYubVOT1mVv_gR_o7_EdCtezWXC8Dwzw4vQJSULGt6SspRHcZKJBWWM50do9tc5RjNCaBoJEvNTdOb9lhBGOE9maP8yuEJp-P78clCrHgxuhrqvuhpw58BUuq9siwvrsNWg2sBtbN_bBrfWADaqV3ijfNACZaCpSqcOxuCrtsTG7trSjr-d-gBcNao8tIN2jk4KVXu4-K1z9HZ787q6j9aPdw-r63Wk4zTPIyZyIwoGwBOS0ZSAAG4g1jqPIWXCZLHOMgGEEw6aM5HSXCi9yRUHyEAzNkdX09zO2fcBfC-3dnBtWCkZSUSYyTkJ1HKitLPeOyhk58K1bi8pkWO-ckxTjmnKQ77B4JOxq2rY_4fLu6fnyfsBIKKAdg</recordid><startdate>202405</startdate><enddate>202405</enddate><creator>Tan, Jun</creator><creator>Wang, Jianhua</creator><creator>Song, Peng</creator><creator>Wang, Shaowen</creator><creator>Xia, Dongming</creator><creator>Du, Guoning</creator><creator>Wang, Qianqian</creator><general>Wiley Subscription Services, Inc</general><scope>AAYXX</scope><scope>CITATION</scope><scope>8FD</scope><scope>F1W</scope><scope>FR3</scope><scope>H96</scope><scope>KR7</scope><scope>L.G</scope><orcidid>https://orcid.org/0000-0001-9317-1949</orcidid></search><sort><creationdate>202405</creationdate><title>Surface‐related multiple prediction for ocean‐bottom node data based on demigration using downgoing wave imaging data</title><author>Tan, Jun ; Wang, Jianhua ; Song, Peng ; Wang, Shaowen ; Xia, Dongming ; Du, Guoning ; Wang, Qianqian</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c2699-389d8f3ee5407160e8e5de2cc92e638d72c778e0505ec5386198acb9a5ee7ec33</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>Algorithms</topic><topic>Data analysis</topic><topic>Data processing</topic><topic>demigration</topic><topic>Imaging techniques</topic><topic>multiple attenuation</topic><topic>Nodes</topic><topic>Ocean floor</topic><topic>ocean‐bottom node</topic><topic>Predictions</topic><topic>Seismic exploration</topic><topic>Time domain analysis</topic><topic>Underwater exploration</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Tan, Jun</creatorcontrib><creatorcontrib>Wang, Jianhua</creatorcontrib><creatorcontrib>Song, Peng</creatorcontrib><creatorcontrib>Wang, Shaowen</creatorcontrib><creatorcontrib>Xia, Dongming</creatorcontrib><creatorcontrib>Du, Guoning</creatorcontrib><creatorcontrib>Wang, Qianqian</creatorcontrib><collection>CrossRef</collection><collection>Technology Research Database</collection><collection>ASFA: Aquatic Sciences and Fisheries Abstracts</collection><collection>Engineering Research Database</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) 2: Ocean Technology, Policy & Non-Living Resources</collection><collection>Civil Engineering Abstracts</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) Professional</collection><jtitle>Geophysical Prospecting</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Tan, Jun</au><au>Wang, Jianhua</au><au>Song, Peng</au><au>Wang, Shaowen</au><au>Xia, Dongming</au><au>Du, Guoning</au><au>Wang, Qianqian</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Surface‐related multiple prediction for ocean‐bottom node data based on demigration using downgoing wave imaging data</atitle><jtitle>Geophysical Prospecting</jtitle><date>2024-05</date><risdate>2024</risdate><volume>72</volume><issue>4</issue><spage>1204</spage><epage>1221</epage><pages>1204-1221</pages><issn>0016-8025</issn><eissn>1365-2478</eissn><abstract>Ocean‐bottom node exploration has developed rapidly in marine seismic exploration. However, due to no illumination for the seafloor, and the observation system of the ‘less traces but more shots’ mode, the conventional surface‐related multiples elimination meets challenges for the application in the ocean‐bottom node exploration. This paper develops a new three‐dimensional surface‐related multiples elimination technique for ocean‐bottom node data. First, a three‐dimensional Kirchhoff pre‐stack time mirror migration algorithm is proposed to realize the accurate imaging for the seabed. Second, the time domain Kirchhoff demigration method is used to construct the contribution traces for multiples prediction. Finally, the surface multiples can be predicted based on the equation derived in the paper. Model tests and field data processing prove that our method can accurately predict the surface‐related multiples for ocean‐bottom node data and be helpful to the multiple elimination, which shows that the proposed technique has potential in actual ocean‐bottom node data processing.</abstract><cop>Houten</cop><pub>Wiley Subscription Services, Inc</pub><doi>10.1111/1365-2478.13359</doi><tpages>18</tpages><orcidid>https://orcid.org/0000-0001-9317-1949</orcidid></addata></record> |
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subjects | Algorithms Data analysis Data processing demigration Imaging techniques multiple attenuation Nodes Ocean floor ocean‐bottom node Predictions Seismic exploration Time domain analysis Underwater exploration |
title | Surface‐related multiple prediction for ocean‐bottom node data based on demigration using downgoing wave imaging data |
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