A local adaptive method for the numerical approximation in seismic wave modelling
We propose a new numerical approach for the solution of the 2D acoustic wave equation to model the predicted data in the field of active-source seismic inverse problems. This method consists in using an explicit finite difference technique with an adaptive order of approximation of the spatial deriv...
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Veröffentlicht in: | Communications in Applied and Industrial Mathematics 2017-12, Vol.8 (1), p.265-281 |
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creator | Galuzzi, Bruno G. Zampieri, Elena Stucchi, Eusebio M. |
description | We propose a new numerical approach for the solution of the 2D acoustic wave equation to model the predicted data in the field of active-source seismic inverse problems. This method consists in using an explicit finite difference technique with an adaptive order of approximation of the spatial derivatives that takes into account the local velocity at the grid nodes. Testing our method to simulate the recorded seismograms in a marine seismic acquisition, we found that the low computational time and the low approximation error of the proposed approach make it suitable in the context of seismic inversion problems. |
doi_str_mv | 10.1515/caim-2017-0014 |
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Testing our method to simulate the recorded seismograms in a marine seismic acquisition, we found that the low computational time and the low approximation error of the proposed approach make it suitable in the context of seismic inversion problems.</description><identifier>ISSN: 2038-0909</identifier><identifier>EISSN: 2038-0909</identifier><identifier>DOI: 10.1515/caim-2017-0014</identifier><language>eng</language><publisher>De Gruyter Open</publisher><subject>Acoustic wave equation ; Finite difference ; Optimization ; Seismic inversion ; Seismic modelling</subject><ispartof>Communications in Applied and Industrial Mathematics, 2017-12, Vol.8 (1), p.265-281</ispartof><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c331t-63900ca2d18d03bc9198760b07c70a6caa2b4f55a4f25e4145503a1acea803083</citedby><cites>FETCH-LOGICAL-c331t-63900ca2d18d03bc9198760b07c70a6caa2b4f55a4f25e4145503a1acea803083</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.degruyter.com/document/doi/10.1515/caim-2017-0014/pdf$$EPDF$$P50$$Gwalterdegruyter$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.degruyter.com/document/doi/10.1515/caim-2017-0014/html$$EHTML$$P50$$Gwalterdegruyter$$Hfree_for_read</linktohtml><link.rule.ids>314,780,784,27923,27924,66929,68713</link.rule.ids></links><search><creatorcontrib>Galuzzi, Bruno G.</creatorcontrib><creatorcontrib>Zampieri, Elena</creatorcontrib><creatorcontrib>Stucchi, Eusebio M.</creatorcontrib><title>A local adaptive method for the numerical approximation in seismic wave modelling</title><title>Communications in Applied and Industrial Mathematics</title><description>We propose a new numerical approach for the solution of the 2D acoustic wave equation to model the predicted data in the field of active-source seismic inverse problems. 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This method consists in using an explicit finite difference technique with an adaptive order of approximation of the spatial derivatives that takes into account the local velocity at the grid nodes. Testing our method to simulate the recorded seismograms in a marine seismic acquisition, we found that the low computational time and the low approximation error of the proposed approach make it suitable in the context of seismic inversion problems.</abstract><pub>De Gruyter Open</pub><doi>10.1515/caim-2017-0014</doi><tpages>17</tpages><oa>free_for_read</oa></addata></record> |
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source | De Gruyter Open Access Journals; EZB-FREE-00999 freely available EZB journals |
subjects | Acoustic wave equation Finite difference Optimization Seismic inversion Seismic modelling |
title | A local adaptive method for the numerical approximation in seismic wave modelling |
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