Least-squares reverse time migration of marine data with frequency-selection encoding

Handle URI:
http://hdl.handle.net/10754/562820
Title:
Least-squares reverse time migration of marine data with frequency-selection encoding
Authors:
Dai, Wei; Huang, Yunsong; Schuster, Gerard T. ( 0000-0001-7532-1587 )
Abstract:
The phase-encoding technique can sometimes increase the efficiency of the least-squares reverse time migration (LSRTM) by more than one order of magnitude. However, traditional random encoding functions require all the encoded shots to share the same receiver locations, thus limiting the usage to seismic surveys with a fixed spread geometry. We implement a frequency-selection encoding strategy that accommodates data with a marine streamer geometry. The encoding functions are delta functions in the frequency domain, so that all the encoded shots have unique nonoverlapping frequency content, and the receivers can distinguish the wavefield from each shot with a unique frequency band. Because the encoding functions are orthogonal to each other, there will be no crosstalk between different shots during modeling and migration. With the frequency-selection encoding method, the computational efficiency of LSRTM is increased so that its cost is comparable to conventional RTM for the Marmousi2 model and a marine data set recorded in the Gulf of Mexico. With more iterations, the LSRTM image quality is further improved by suppressing migration artifacts, balancing reflector amplitudes, and enhancing the spatial resolution. We conclude that LSRTM with frequency-selection is an efficient migration method that can sometimes produce more focused images than conventional RTM. © 2013 Society of Exploration Geophysicists.
KAUST Department:
Earth Science and Engineering Program; Earth Sciences and Engineering Program; Physical Sciences and Engineering (PSE) Division; Environmental Science and Engineering Program
Publisher:
Society of Exploration Geophysicists
Journal:
Geophysics
Issue Date:
24-Jun-2013
DOI:
10.1190/GEO2013-0003.1
Type:
Article
ISSN:
00168033
Sponsors:
We thank the sponsors of CSIM consortium (http://csim.kaust.edu.sa) for their financial support. We are also grateful to the supercomputing lab at King Abdullah University of Science and Technology (KAUST) for their computer facilities and technical support. The comments from the Associate Editor Stephane Operto, reviewer Yong Ma, and two other anonymous reviewers have greatly improved the quality of the paper.
Appears in Collections:
Articles; Environmental Science and Engineering Program; Physical Sciences and Engineering (PSE) Division; Earth Science and Engineering Program

Full metadata record

DC FieldValue Language
dc.contributor.authorDai, Weien
dc.contributor.authorHuang, Yunsongen
dc.contributor.authorSchuster, Gerard T.en
dc.date.accessioned2015-08-03T11:11:31Zen
dc.date.available2015-08-03T11:11:31Zen
dc.date.issued2013-06-24en
dc.identifier.issn00168033en
dc.identifier.doi10.1190/GEO2013-0003.1en
dc.identifier.urihttp://hdl.handle.net/10754/562820en
dc.description.abstractThe phase-encoding technique can sometimes increase the efficiency of the least-squares reverse time migration (LSRTM) by more than one order of magnitude. However, traditional random encoding functions require all the encoded shots to share the same receiver locations, thus limiting the usage to seismic surveys with a fixed spread geometry. We implement a frequency-selection encoding strategy that accommodates data with a marine streamer geometry. The encoding functions are delta functions in the frequency domain, so that all the encoded shots have unique nonoverlapping frequency content, and the receivers can distinguish the wavefield from each shot with a unique frequency band. Because the encoding functions are orthogonal to each other, there will be no crosstalk between different shots during modeling and migration. With the frequency-selection encoding method, the computational efficiency of LSRTM is increased so that its cost is comparable to conventional RTM for the Marmousi2 model and a marine data set recorded in the Gulf of Mexico. With more iterations, the LSRTM image quality is further improved by suppressing migration artifacts, balancing reflector amplitudes, and enhancing the spatial resolution. We conclude that LSRTM with frequency-selection is an efficient migration method that can sometimes produce more focused images than conventional RTM. © 2013 Society of Exploration Geophysicists.en
dc.description.sponsorshipWe thank the sponsors of CSIM consortium (http://csim.kaust.edu.sa) for their financial support. We are also grateful to the supercomputing lab at King Abdullah University of Science and Technology (KAUST) for their computer facilities and technical support. The comments from the Associate Editor Stephane Operto, reviewer Yong Ma, and two other anonymous reviewers have greatly improved the quality of the paper.en
dc.publisherSociety of Exploration Geophysicistsen
dc.titleLeast-squares reverse time migration of marine data with frequency-selection encodingen
dc.typeArticleen
dc.contributor.departmentEarth Science and Engineering Programen
dc.contributor.departmentEarth Sciences and Engineering Programen
dc.contributor.departmentPhysical Sciences and Engineering (PSE) Divisionen
dc.contributor.departmentEnvironmental Science and Engineering Programen
dc.identifier.journalGeophysicsen
dc.contributor.institutionUniversity of Utah, Department of Geology and Geophysics, Salt Lake City, UT, United Statesen
dc.contributor.institutionWestern Geco, Houston, TX, United Statesen
kaust.authorDai, Weien
kaust.authorHuang, Yunsongen
kaust.authorSchuster, Gerard T.en
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