2018-10-18
Low-rank representation of extended image volumes: Applications to imaging and velocity continuation
Publication
Publication
In this paper, we present a cost-effective low-rank factorized form of computing the full subsurface extended image volumes without explicitly calculating the receiver wavefields. The propose approach is computationally feasible, which exploits the low-rank structure of full subsurface extended image volumes organized as a matrix, thus avoiding the customary loop over sources. Using carefully selected stylized examples, we show how conventional migration images can be extracted from the low-rank factorized form. We also present a velocity continuation procedure that uses the same low-rank form and allows us to map the extended image for one velocity model to another velocity model without recomputing all the source wavefields.
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| doi.org/10.1190/segam2018-2998404.1 | |
| SEG Annual Meeting | |
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Kumar, R., Graff-Kray, M., van Leeuwen, T., & Herrmann, F. (2018). Low-rank representation of extended image volumes: Applications to imaging and velocity continuation. In SEG Technical Program Expanded Abstracts 2018 (pp. 4418–4422). doi:10.1190/segam2018-2998404.1 |
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