An illumination‐compensated Gaussian beam migration for enhancing subsalt imaging
ABSTRACT Seismic images of Earth's subsurface are essential for oil and gas exploration. Gaussian beam migration is popular for seismic imaging owing to its flexibility and efficiency of implementation. However, the practical use of classic Gaussian beam migration is limited for complicated str...
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Veröffentlicht in: | Geophysical Prospecting 2021-09, Vol.69 (7), p.1433-1440 |
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creator | Liu, Shaoyong Yan, Zhe Zhu, Wenting Han, Bingkai Gu, Hanming Hu, Shanzheng |
description | ABSTRACT
Seismic images of Earth's subsurface are essential for oil and gas exploration. Gaussian beam migration is popular for seismic imaging owing to its flexibility and efficiency of implementation. However, the practical use of classic Gaussian beam migration is limited for complicated structures such as subsalt because of poor seismic illumination in those areas. We propose an illumination‐compensated Gaussian beam migration under the framework of least‐squares migration, enhancing the subsalt imaging effectively. A novel scheme based on the Born modelling and migration of Gaussian beam is developed to estimate the point spreading function, with which the illumination compensation can be efficiently implemented in the local wavenumber domain. As the aim of least‐squares migration, the proposed illumination‐compensated Gaussian beam migration produces true‐amplitude images in subsalt areas, which facilitates the seismic interpretation of subsalt structures. The total computational cost of the proposed method includes one Born modelling process and two conventional Gaussian beam migrations, and thus it is much more efficient than the classic least‐squares migration which requires multiple iterations. Numerical examples have demonstrated the effectiveness of the adaptive strategies, manifesting applicable potential in oil and gas exploration of subsalt targets. |
doi_str_mv | 10.1111/1365-2478.13117 |
format | Article |
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Seismic images of Earth's subsurface are essential for oil and gas exploration. Gaussian beam migration is popular for seismic imaging owing to its flexibility and efficiency of implementation. However, the practical use of classic Gaussian beam migration is limited for complicated structures such as subsalt because of poor seismic illumination in those areas. We propose an illumination‐compensated Gaussian beam migration under the framework of least‐squares migration, enhancing the subsalt imaging effectively. A novel scheme based on the Born modelling and migration of Gaussian beam is developed to estimate the point spreading function, with which the illumination compensation can be efficiently implemented in the local wavenumber domain. As the aim of least‐squares migration, the proposed illumination‐compensated Gaussian beam migration produces true‐amplitude images in subsalt areas, which facilitates the seismic interpretation of subsalt structures. The total computational cost of the proposed method includes one Born modelling process and two conventional Gaussian beam migrations, and thus it is much more efficient than the classic least‐squares migration which requires multiple iterations. Numerical examples have demonstrated the effectiveness of the adaptive strategies, manifesting applicable potential in oil and gas exploration of subsalt targets.</description><identifier>ISSN: 0016-8025</identifier><identifier>EISSN: 1365-2478</identifier><identifier>DOI: 10.1111/1365-2478.13117</identifier><language>eng</language><publisher>Houten: Wiley Subscription Services, Inc</publisher><subject>Gaussian beams (optics) ; Illumination ; Image enhancement ; Imaging techniques ; Modelling ; Oil and gas exploration ; Oil exploration ; Point spreading function ; Seismic illumination ; Subsalt imaging ; Wavelengths</subject><ispartof>Geophysical Prospecting, 2021-09, Vol.69 (7), p.1433-1440</ispartof><rights>2021 European Association of Geoscientists & Engineers</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-a3387-6191f63f0d00c264862927a118714c2f26a090ae8dffba6e28bbf39f49e07cc83</citedby><cites>FETCH-LOGICAL-a3387-6191f63f0d00c264862927a118714c2f26a090ae8dffba6e28bbf39f49e07cc83</cites><orcidid>0000-0001-5164-8657</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%2F1365-2478.13117$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1111%2F1365-2478.13117$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>314,780,784,1417,27924,27925,45574,45575</link.rule.ids></links><search><creatorcontrib>Liu, Shaoyong</creatorcontrib><creatorcontrib>Yan, Zhe</creatorcontrib><creatorcontrib>Zhu, Wenting</creatorcontrib><creatorcontrib>Han, Bingkai</creatorcontrib><creatorcontrib>Gu, Hanming</creatorcontrib><creatorcontrib>Hu, Shanzheng</creatorcontrib><title>An illumination‐compensated Gaussian beam migration for enhancing subsalt imaging</title><title>Geophysical Prospecting</title><description>ABSTRACT
Seismic images of Earth's subsurface are essential for oil and gas exploration. Gaussian beam migration is popular for seismic imaging owing to its flexibility and efficiency of implementation. However, the practical use of classic Gaussian beam migration is limited for complicated structures such as subsalt because of poor seismic illumination in those areas. We propose an illumination‐compensated Gaussian beam migration under the framework of least‐squares migration, enhancing the subsalt imaging effectively. A novel scheme based on the Born modelling and migration of Gaussian beam is developed to estimate the point spreading function, with which the illumination compensation can be efficiently implemented in the local wavenumber domain. As the aim of least‐squares migration, the proposed illumination‐compensated Gaussian beam migration produces true‐amplitude images in subsalt areas, which facilitates the seismic interpretation of subsalt structures. The total computational cost of the proposed method includes one Born modelling process and two conventional Gaussian beam migrations, and thus it is much more efficient than the classic least‐squares migration which requires multiple iterations. Numerical examples have demonstrated the effectiveness of the adaptive strategies, manifesting applicable potential in oil and gas exploration of subsalt targets.</description><subject>Gaussian beams (optics)</subject><subject>Illumination</subject><subject>Image enhancement</subject><subject>Imaging techniques</subject><subject>Modelling</subject><subject>Oil and gas exploration</subject><subject>Oil exploration</subject><subject>Point spreading function</subject><subject>Seismic illumination</subject><subject>Subsalt imaging</subject><subject>Wavelengths</subject><issn>0016-8025</issn><issn>1365-2478</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><recordid>eNqFkL9OwzAQhy0EEqUws1piTuuzE9sZqwpapEog_syWk9rFVeIUOxHqxiPwjDwJaYNY8XLy6fvdnT6EroFMoH9TYDxLaCrkBBiAOEGjv84pGhECPJGEZufoIsYtIYxkWTpCzzOPXVV1tfO6dY3__vwqm3pnfNStWeOF7mJ02uPC6BrXbhOOFLZNwMa_aV86v8GxK6KuWuxqven_l-jM6iqaq986Rq93ty_zZbJ6WNzPZ6tEMyZFwiEHy5kla0JKylPJaU6FBpAC0pJayjXJiTZybW2huaGyKCzLbZobIspSsjG6GebuQvPemdiqbdMF369UNMvyVABw1lPTgSpDE2MwVu1Cf2jYKyDqYE4dPKmDJ3U01yeyIfHhKrP_D1eLx6ch9wM5eHD0</recordid><startdate>202109</startdate><enddate>202109</enddate><creator>Liu, Shaoyong</creator><creator>Yan, Zhe</creator><creator>Zhu, Wenting</creator><creator>Han, Bingkai</creator><creator>Gu, Hanming</creator><creator>Hu, Shanzheng</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/0000-0001-5164-8657</orcidid></search><sort><creationdate>202109</creationdate><title>An illumination‐compensated Gaussian beam migration for enhancing subsalt imaging</title><author>Liu, Shaoyong ; Yan, Zhe ; Zhu, Wenting ; Han, Bingkai ; Gu, Hanming ; Hu, Shanzheng</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-a3387-6191f63f0d00c264862927a118714c2f26a090ae8dffba6e28bbf39f49e07cc83</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Gaussian beams (optics)</topic><topic>Illumination</topic><topic>Image enhancement</topic><topic>Imaging techniques</topic><topic>Modelling</topic><topic>Oil and gas exploration</topic><topic>Oil exploration</topic><topic>Point spreading function</topic><topic>Seismic illumination</topic><topic>Subsalt imaging</topic><topic>Wavelengths</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Liu, Shaoyong</creatorcontrib><creatorcontrib>Yan, Zhe</creatorcontrib><creatorcontrib>Zhu, Wenting</creatorcontrib><creatorcontrib>Han, Bingkai</creatorcontrib><creatorcontrib>Gu, Hanming</creatorcontrib><creatorcontrib>Hu, Shanzheng</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>Liu, Shaoyong</au><au>Yan, Zhe</au><au>Zhu, Wenting</au><au>Han, Bingkai</au><au>Gu, Hanming</au><au>Hu, Shanzheng</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>An illumination‐compensated Gaussian beam migration for enhancing subsalt imaging</atitle><jtitle>Geophysical Prospecting</jtitle><date>2021-09</date><risdate>2021</risdate><volume>69</volume><issue>7</issue><spage>1433</spage><epage>1440</epage><pages>1433-1440</pages><issn>0016-8025</issn><eissn>1365-2478</eissn><abstract>ABSTRACT
Seismic images of Earth's subsurface are essential for oil and gas exploration. Gaussian beam migration is popular for seismic imaging owing to its flexibility and efficiency of implementation. However, the practical use of classic Gaussian beam migration is limited for complicated structures such as subsalt because of poor seismic illumination in those areas. We propose an illumination‐compensated Gaussian beam migration under the framework of least‐squares migration, enhancing the subsalt imaging effectively. A novel scheme based on the Born modelling and migration of Gaussian beam is developed to estimate the point spreading function, with which the illumination compensation can be efficiently implemented in the local wavenumber domain. As the aim of least‐squares migration, the proposed illumination‐compensated Gaussian beam migration produces true‐amplitude images in subsalt areas, which facilitates the seismic interpretation of subsalt structures. The total computational cost of the proposed method includes one Born modelling process and two conventional Gaussian beam migrations, and thus it is much more efficient than the classic least‐squares migration which requires multiple iterations. Numerical examples have demonstrated the effectiveness of the adaptive strategies, manifesting applicable potential in oil and gas exploration of subsalt targets.</abstract><cop>Houten</cop><pub>Wiley Subscription Services, Inc</pub><doi>10.1111/1365-2478.13117</doi><tpages>8</tpages><orcidid>https://orcid.org/0000-0001-5164-8657</orcidid></addata></record> |
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subjects | Gaussian beams (optics) Illumination Image enhancement Imaging techniques Modelling Oil and gas exploration Oil exploration Point spreading function Seismic illumination Subsalt imaging Wavelengths |
title | An illumination‐compensated Gaussian beam migration for enhancing subsalt imaging |
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