Combined interpolation and primary estimation
US-2015362608-A1 · Dec 17, 2015 · US
US8953411B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-8953411-B2 |
| Application number | US-201113160913-A |
| Country | US |
| Kind code | B2 |
| Filing date | Jun 15, 2011 |
| Priority date | Aug 24, 2010 |
| Publication date | Feb 10, 2015 |
| Grant date | Feb 10, 2015 |
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Provided are an apparatus and method for imaging a subsurface using frequency-domain reverse-time migration in elastic medium. The subsurface imaging method represents a frequency-domain imaging condition as convolution of measured data and a partial derivative wavefield. That is, the subsurface imaging method applies a back-propagation algorithm to represent an imaging condition as convolution of a virtual source and a back-propagated wavefield. Then, the subsurface imaging method divides a virtual source vector and the back-propagated wavefield represented by a displacement vector into P- and S-wave potentials through Helmholtz decomposition, thereby providing a new imaging condition.
Opening claim text (preview).
What is claimed is: 1. An apparatus of imaging a subsurface, comprising: a plurality of receivers configured to receive a seismic data from a region to be observed; a signal processor configured to estimate sources from measured data measured by the receivers, and to process the seismic data so as to generate a migration image signal for imaging a subsurface of the region to be observed, wherein: the signal processor generates migration images for a P-wave and a S-wave of a seismic signal, by convolving a virtual source vector and a wavefield displacement vector obtained by back-propagating the seismic signal, with a divergence operator and a curl operator, and imaging conditions for generating the migration images for the P-wave and the S-wave are represented as equations E-1 and E-2, respectively: (φ k ) PP =∫Re{∇·[( v ke ) T ]∇·[S e −1 {tilde over (d)} e *]}dω and (E-1) (φ k ) SS =∫Re{∇×[( v ke ) T ]∇×[S e −1 {tilde over (d)} e *]}dω, (E-2) where (φ k ) PP is the imaging condition for P wave, (φ k ) SS is the imaging condition for S wave, (v ke ) p , (v ke ) s is the virtual source vector for the P and S wave velocity for the kth model parameter respectively, {tilde over (d)} e is the observed data, Re is the real part of the complex number, ∇· is divergence operator, ∇× is curl operator, T is transpose, * is complex conjugate, ω is angular frequency, and S e −1 is the inverse matrix of the complex impedance matrix in an elastic medium. 2. The apparatus of claim 1 , wherein the virtual source vector is defined as equations (E-3) and (E-4) for the P-wave and the S-wave, respectively: ( v ke ) p = - ∂ S e ∂ v p u ~ e , and ( E - 3 ) ( v ke ) s = - ∂ S e ∂ v s u ~ e , where ∂ S e ∂ v p = 2 ρ v p ∂ S e ∂ λ , ∂ S e ∂ λ , ∂ S e ∂ v s - 4 ρ
Processing seismic data, e.g. for interpretation or for event detection (G01V1/48 takes precedence) · CPC title
Migration · CPC title
Wave propagation modeling · CPC title
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