2021
DOI: 10.3390/en14237837
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Elastic Reverse-Time Migration with Complex Topography

Abstract: Migration is an important step in seismic data processing for oil and gas exploration. The accuracy of migration directly affects the accuracy of subsequent oil and gas reservoir characterization. Reverse-time migration is one of the most accurate migration methods at present. Multi-wave and multicomponent seismic data contain more P- and S-wave information. Making full use of multi-wave and multicomponent seismic data can offer more information about underground structure and lithology, as well as improve the… Show more

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Cited by 10 publications
(7 citation statements)
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“…The red line is the surface topography. Zhong et al, 2019Zhong et al, , 2021aZhong et al, , 2021bZhu, 2017), which can provide more image information for parameter estimation and reservoir characterization. The fluid-related hydrocarbon reservoirs and some special geologic structures (e.g., the gas plume or chimney) can be identified more accurately through the images of ERTM.…”
Section: F I G U R Ementioning
confidence: 99%
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“…The red line is the surface topography. Zhong et al, 2019Zhong et al, , 2021aZhong et al, , 2021bZhu, 2017), which can provide more image information for parameter estimation and reservoir characterization. The fluid-related hydrocarbon reservoirs and some special geologic structures (e.g., the gas plume or chimney) can be identified more accurately through the images of ERTM.…”
Section: F I G U R Ementioning
confidence: 99%
“…It is necessary to separate the elastic wavefield into P-waves and S-waves for obtaining uncontaminated and meaningful migration results in ERTM (Dellinger & Etgen, 1990;Sun & McMechan, 2001). At present, there are three main wave-mode separation methods to separate the elastic wavefield into P-waves and S-waves, including the Helmholtz separation method (Dellinger & Etgen, 1990;Sun & McMechan, 2001;Yang et al, 2018Yang et al, , 2019Zhu, 2017), wavenumber domain-based separation method (Zhang & McMechan, 2010) and separation elastic wave equations-based separation method (Du et al, 2017;Gu et al, 2015;Xiao & Leaney, 2010;Zhong et al, 2019Zhong et al, , 2021aZhong et al, , 2021b. The most effective and simple wave-mode separation method is the Helmholtz separation method -the divergence operator and curl operator.…”
Section: F I G U R Ementioning
confidence: 99%
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