What question did this study set out to answer?

To solve the nonlinear inverse problem for seismic reflection data under the acoustic approximation while accounting for data uncertainties and multi-path wave propagation.

August 1, 1984Geophysics

Inversion of seismic reflection data in the acoustic approximation

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Authors

ATAlbert TarantolaUniversity of Copenhagen

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Implication

Computational study demonstrates nonlinear seismic reflection inversion using acoustic wave modeling, indicating a commercially competitive alternative to traditional unstacked migration.

Key Points

To solve the nonlinear inverse problem for seismic reflection data under the acoustic approximation while accounting for data uncertainties and multi-path wave propagation.
Formulated an iterative inversion algorithm using a generalized least-squares criterion incorporating data errors and a priori model constraints.
Computed forward propagation of the source wavefield alongside time-reversed backpropagation of seismic data residuals through the subsurface model.
Calculated spatial cross-correlations of the forward and backpropagated wavefields at each iteration to iteratively update bulk modulus, density, and source functions.
Naturally incorporated complex seismic phenomena into model updates, including multiple reflections, refracted wave energy, and surface waves.
Demonstrated that full nonlinear seismic waveform inversion directly relates to unstacked migration techniques, providing a computationally viable and commercially competitive imaging framework.

Cite This Study

Albert Tarantola (1984) studied this question.

synapsesocial.com/papers/69dd4c8f7808b00a4799c68d https://doi.org/10.1190/1.1441754

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August 1, 1984Geophysics

Inversion of seismic reflection data in the acoustic approximation

View Full Paper

Ask AI

Bookmark

Authors

ATAlbert TarantolaUniversity of Copenhagen

Discussion

Member takes

Implication

Computational study demonstrates nonlinear seismic reflection inversion using acoustic wave modeling, indicating a commercially competitive alternative to traditional unstacked migration.

Key Points

To solve the nonlinear inverse problem for seismic reflection data under the acoustic approximation while accounting for data uncertainties and multi-path wave propagation.
Formulated an iterative inversion algorithm using a generalized least-squares criterion incorporating data errors and a priori model constraints.
Computed forward propagation of the source wavefield alongside time-reversed backpropagation of seismic data residuals through the subsurface model.
Calculated spatial cross-correlations of the forward and backpropagated wavefields at each iteration to iteratively update bulk modulus, density, and source functions.
Naturally incorporated complex seismic phenomena into model updates, including multiple reflections, refracted wave energy, and surface waves.
Demonstrated that full nonlinear seismic waveform inversion directly relates to unstacked migration techniques, providing a computationally viable and commercially competitive imaging framework.

Cite This Study

Albert Tarantola (1984) studied this question.

synapsesocial.com/papers/69dd4c8f7808b00a4799c68d https://doi.org/10.1190/1.1441754

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