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High‐resolution Radon transforms for improved dipole acoustic imaging
ABSTRACT Imaging using dipole acoustic logging reflections has become a research topic of increasing interest in recent years. Extracting reflections from the whole waveform is both important and extremely difficult because the reflections are obscured by large‐amplitude direct waves. A method of wa...
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Published in: | Geophysical Prospecting 2017-03, Vol.65 (2), p.467-484 |
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Imaging using dipole acoustic logging reflections has become a research topic of increasing interest in recent years. Extracting reflections from the whole waveform is both important and extremely difficult because the reflections are obscured by large‐amplitude direct waves. A method of wavefield separation based on high‐resolution Radon transforms has been applied to separate the reflected waves. First, an analysis of the common offset gathers shows that the linear Radon transform can be used to separate the direct and reflected wave fields. However, traditional linear Radon transforms cannot focus the wave event using the least squares method. An improved high‐resolution linear Radon transform is achieved using the principles of maximum entropy and Bayesian methods based on previous studies. The separation method is tested using synthetic data for hard and soft formations, a void model, and a fault model. The high‐resolution Radon transform method is used to process a field dataset and exhibits improved results compared with those of the standard method. |
doi_str_mv | 10.1111/1365-2478.12434 |
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Imaging using dipole acoustic logging reflections has become a research topic of increasing interest in recent years. Extracting reflections from the whole waveform is both important and extremely difficult because the reflections are obscured by large‐amplitude direct waves. A method of wavefield separation based on high‐resolution Radon transforms has been applied to separate the reflected waves. First, an analysis of the common offset gathers shows that the linear Radon transform can be used to separate the direct and reflected wave fields. However, traditional linear Radon transforms cannot focus the wave event using the least squares method. An improved high‐resolution linear Radon transform is achieved using the principles of maximum entropy and Bayesian methods based on previous studies. The separation method is tested using synthetic data for hard and soft formations, a void model, and a fault model. The high‐resolution Radon transform method is used to process a field dataset and exhibits improved results compared with those of the standard method.</description><identifier>ISSN: 0016-8025</identifier><identifier>EISSN: 1365-2478</identifier><identifier>DOI: 10.1111/1365-2478.12434</identifier><identifier>CODEN: GPPRAR</identifier><language>eng</language><publisher>Houten: Wiley Subscription Services, Inc</publisher><subject>Acoustics ; Borehole geophysics ; Dipoles ; Geophysics ; High resolution ; Radon ; Reflected waves ; Reflection ; Separation ; Signal processing ; Transforms</subject><ispartof>Geophysical Prospecting, 2017-03, Vol.65 (2), p.467-484</ispartof><rights>2016 European Association of Geoscientists & Engineers</rights><rights>2017 European Association of Geoscientists & Engineers</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-a4044-4fe5561c5beb9f2293a463397373d6b1f7386424397af98e9cab6c60ad6f95b3</citedby><cites>FETCH-LOGICAL-a4044-4fe5561c5beb9f2293a463397373d6b1f7386424397af98e9cab6c60ad6f95b3</cites></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>Li, Chao</creatorcontrib><creatorcontrib>Yue, Wenzheng</creatorcontrib><title>High‐resolution Radon transforms for improved dipole acoustic imaging</title><title>Geophysical Prospecting</title><description>ABSTRACT
Imaging using dipole acoustic logging reflections has become a research topic of increasing interest in recent years. Extracting reflections from the whole waveform is both important and extremely difficult because the reflections are obscured by large‐amplitude direct waves. A method of wavefield separation based on high‐resolution Radon transforms has been applied to separate the reflected waves. First, an analysis of the common offset gathers shows that the linear Radon transform can be used to separate the direct and reflected wave fields. However, traditional linear Radon transforms cannot focus the wave event using the least squares method. An improved high‐resolution linear Radon transform is achieved using the principles of maximum entropy and Bayesian methods based on previous studies. The separation method is tested using synthetic data for hard and soft formations, a void model, and a fault model. The high‐resolution Radon transform method is used to process a field dataset and exhibits improved results compared with those of the standard method.</description><subject>Acoustics</subject><subject>Borehole geophysics</subject><subject>Dipoles</subject><subject>Geophysics</subject><subject>High resolution</subject><subject>Radon</subject><subject>Reflected waves</subject><subject>Reflection</subject><subject>Separation</subject><subject>Signal processing</subject><subject>Transforms</subject><issn>0016-8025</issn><issn>1365-2478</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2017</creationdate><recordtype>article</recordtype><recordid>eNqNkc9KAzEQxoMoWKtnrwtevGyb_9k9StGtUFBK7yG7m9SU7aYmu0pvPoLP6JOYuuLBiwZmApPfF76ZAeASwQmKZ4oIZymmIpsgTAk9AqOfyjEYQYh4mkHMTsFZCBsICWSMjkAxt-unj7d3r4Nr-s66NlmqOubOqzYY57chiTmx2513L7pOartzjU5U5frQ2So-qLVt1-fgxKgm6IvvewxWd7er2TxdPBT3s5tFqiikNKVGM8ZRxUpd5gbjnCjKCckFEaTmJTKCZJxG_7lQJs90XqmSVxyqmpuclWQMrodvo5vnXodObm2odNOoVkdDEmUZRQRzgf-BCpzhGCKiV7_Qjet9G_uIFGeCUCxgpKYDVXkXgtdG7nzs3u8lgvKwAnkYuDwMXH6tICrYoHi1jd7_hcvicTnoPgExJoe5</recordid><startdate>201703</startdate><enddate>201703</enddate><creator>Li, Chao</creator><creator>Yue, Wenzheng</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></search><sort><creationdate>201703</creationdate><title>High‐resolution Radon transforms for improved dipole acoustic imaging</title><author>Li, Chao ; Yue, Wenzheng</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-a4044-4fe5561c5beb9f2293a463397373d6b1f7386424397af98e9cab6c60ad6f95b3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2017</creationdate><topic>Acoustics</topic><topic>Borehole geophysics</topic><topic>Dipoles</topic><topic>Geophysics</topic><topic>High resolution</topic><topic>Radon</topic><topic>Reflected waves</topic><topic>Reflection</topic><topic>Separation</topic><topic>Signal processing</topic><topic>Transforms</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Li, Chao</creatorcontrib><creatorcontrib>Yue, Wenzheng</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>Li, Chao</au><au>Yue, Wenzheng</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>High‐resolution Radon transforms for improved dipole acoustic imaging</atitle><jtitle>Geophysical Prospecting</jtitle><date>2017-03</date><risdate>2017</risdate><volume>65</volume><issue>2</issue><spage>467</spage><epage>484</epage><pages>467-484</pages><issn>0016-8025</issn><eissn>1365-2478</eissn><coden>GPPRAR</coden><abstract>ABSTRACT
Imaging using dipole acoustic logging reflections has become a research topic of increasing interest in recent years. Extracting reflections from the whole waveform is both important and extremely difficult because the reflections are obscured by large‐amplitude direct waves. A method of wavefield separation based on high‐resolution Radon transforms has been applied to separate the reflected waves. First, an analysis of the common offset gathers shows that the linear Radon transform can be used to separate the direct and reflected wave fields. However, traditional linear Radon transforms cannot focus the wave event using the least squares method. An improved high‐resolution linear Radon transform is achieved using the principles of maximum entropy and Bayesian methods based on previous studies. The separation method is tested using synthetic data for hard and soft formations, a void model, and a fault model. The high‐resolution Radon transform method is used to process a field dataset and exhibits improved results compared with those of the standard method.</abstract><cop>Houten</cop><pub>Wiley Subscription Services, Inc</pub><doi>10.1111/1365-2478.12434</doi><tpages>18</tpages></addata></record> |
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subjects | Acoustics Borehole geophysics Dipoles Geophysics High resolution Radon Reflected waves Reflection Separation Signal processing Transforms |
title | High‐resolution Radon transforms for improved dipole acoustic imaging |
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