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- W3203360227 abstract "Summary In traditional anisotropic elastic reverse-time migration (RTM), P/S-wave decomposition is necessary and requires large memory and computational cost. In addition, finite acquisition apertures and bandlimited source functions result in unsatisfactory resolutions and amplitudes. To mitigate these problems, we present an elastic least-squares imaging method for tilted transversely isotropic media. Unlike traditional elastic RTM, we use the relative perturbations of stiffness parameters i.e., δlnC33 and δlnC55, as PP and PS reflectivity models, and estimate them by solving a linear inverse problem. Numerical experiments illustrate that least-squares migration helps to improve spatial resolution and image amplitudes compared with the adjoint-based migration, and enhance the contributions of weak S-wave to estimated subsurface reflectivities, producing high-quality δlnC33 and δlnC55 images." @default.
- W3203360227 created "2021-10-11" @default.
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- W3203360227 date "2021-01-01" @default.
- W3203360227 modified "2023-09-29" @default.
- W3203360227 title "Estimating Subsurface P- and S-wave Reflectivities using Elastic TTI Least-Squares Reverse-Time Migration" @default.
- W3203360227 doi "https://doi.org/10.3997/2214-4609.202112408" @default.
- W3203360227 hasPublicationYear "2021" @default.
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