Fast Gauss-Newton full-wavefield migration

Abolhassani, S.; Verschuur, Eric

doi:10.1190/image2022-3751008.1

Second International Meeting for Applied Geoscience &Amp; Energy 2022

DOI: 10.1190/image2022-3751008.1

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Fast Gauss-Newton full-wavefield migration

S. Abolhassani

Eric Verschuur

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2024

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Efficient preconditioned least-squares wave-equation migration

Abolhassani,

Verschuur

2024

GEOPHYSICS

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Since the appearance of wave-equation migration, many have tried to improve the resolution and effectiveness of this technology. Least-squares wave-equation migration is one of those attempts that tries to fill the gap between the migration assumptions and reality in an iterative manner. However, these iterations do not come cheap. A proven solution to limit the number of least-squares iterations is to correct the gradient direction within each iteration via the action of a preconditioner that approximates the Hessian inverse. However, the Hessian computation, or even the Hessian approximation computation, in large-scale seismic imaging problems involves an expensive computational bottleneck, making it unfeasible. Therefore, we propose an efficient computation of the Hessian approximation operator, in the context of one-way wave-equation migration (WEM) in the space-frequency domain. We build the Hessian approximation operator depth by depth, considerably reducing the operator size each time it is calculated. We prove the validity of our proposed method with two numerical examples. We then extend our proposal to the framework of full-wavefield migration, which is based on WEM principles but includes interbed multiples. Finally, this efficient preconditioned least-squares full-wavefield migration is successfully applied to a dataset with strong interbed multiple scattering.

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Efficient preconditioned least-squares wave-equation migration

Abolhassani,

Verschuur

2024

GEOPHYSICS

View full text Add to dashboard Cite

show abstract

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Fast Gauss-Newton full-wavefield migration

Cited by 1 publication

References 24 publications

Efficient preconditioned least-squares wave-equation migration

Efficient preconditioned least-squares wave-equation migration

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