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- W3100274493 abstract "Summary The angle-domain common image gathers (ADCIGs) describe the reflectivity variation over the reflection angles which are important for seismic exploration. However, because of the limitation of seismic frequency band and acquisition geometry, conventional reverse time migration (RTM) produces the ADCIGs with low fidelity. We propose a reflection angle-domain extended least-squares RTM (AELSRTM) to improve the quality of the ADCIGs in which the Poynting vector is used to efficiently calculate the angles. We first derive a feasible pseudo-extended linearized modeling operator which could map the ADCIGs into the seismic data. The modeling operator, associated with an adjoint operator, are then used to build an extended linearized inversion framework for inverting the angle-dependent reflectivity. Taking advantage of the simplicity and coherency of the ADCIGs, we impose a series of low-rank constraints on the extended angle dimension and a sparse constraint on the whole dimension to ensure the production of high-quality ADCIGs. We conduct numerical examples on the Marmousi model, and the results demonstrate that AELSRTM could produce the ADCIGs and the stacked image with higher fidelity than RTM, which provides a reliable input for anisotropic model building and amplitude versus angle analysis." @default.
- W3100274493 created "2020-11-23" @default.
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- W3100274493 date "2020-01-01" @default.
- W3100274493 modified "2023-09-27" @default.
- W3100274493 title "Inverting Angle-Dependent Reflectivity Using Regularized Extended Least-Squares Reverse Time Migration" @default.
- W3100274493 doi "https://doi.org/10.3997/2214-4609.202011225" @default.
- W3100274493 hasPublicationYear "2020" @default.
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