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The Least-squares Elastic Reverse-time Migration with Density VariationNormal access

Authors: M.A. Sun, L. Dong, Y. Liu and J. Yang
Event name: 79th EAGE Conference and Exhibition 2017
Session: Least-square and Marchenko Imaging
Publication date: 12 June 2017
DOI: 10.3997/2214-4609.201701128
Organisations: EAGE
Language: English
Info: Extended abstract, PDF ( 1.5Mb )
Price: € 20

Summary:
The least-squares elastic reverse-time migration (LSERTM) gives an access to the true amplitude migration of the subsurface multiple parameters. Compared with conventional ERTM, it eliminates the background low-frequency noise, and enhances the illumination in the deep model. With the consideration of density variation, the best match of the waveform can be achieved, and more migrated images can be obtained to reconstruct the parameter reflectivity and suppress the parameter crosstalk.


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