Inherent Challenges of Randomized Shooting Strategies on Deblending and a Robust Multistage Prior Based Solution

Kumar, Rajiv; Amin, Y.I. Kamil; Mahdad, A.; Narayan, Anu; Brouwer, W.G.; Misbah, A.; Vassallo, Massimiliano

doi:10.3997/2214-4609.202112853

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Cited by 3 publications

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Deblending a sparse OBN survey acquired with a generalized survey optimization scheme

Salgadoe,

Szydlik,

Kuliev

et al. 2024

Fourth International Meeting for Applied Geoscience &Amp; Energy

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Deblending a sparse OBN survey acquired with a generalized survey optimization scheme

Salgadoe,

Szydlik,

Kuliev

et al. 2024

Fourth International Meeting for Applied Geoscience &Amp; Energy

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A practical approach to automate end-to-end multi-stage iterative source separation with prior framework using machine learning

Kumar,

Amin,

Giro

et al. 2024

Fourth International Meeting for Applied Geoscience &Amp; Energy

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Inversion-based multistage seismic data processing with physics-driven priors

Kumar¹,

Kamil²,

Bilsby³

et al. 2023

The Leading Edge

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Various aspects of survey design have a profound impact on how noise appears on the coherent signal of interest, thus impacting conventional inversion methods in complex environments. We propose a multistage physics-driven prior-based processing technique that is versatile and can be used in a wide range of inversion-based processing applications such as source separation and/or interpolation for any acquisition environments (e.g., land, marine, and ocean-bottom nodes). The inversion-based multistage approach progressively builds the coherent signal model while eliminating the aliasing, blending, and background noise in a signal-safe manner. To stabilize the inversion process, we include physics-driven priors in the multiple stage process, which enhances the sparsity of the coherent signal in the transform domain. Results using real data from land and ocean-bottom node surveys validate the potential of the proposed approach to produce optimal processing results while dealing with the common geophysical challenges related to different seismic acquisitions.

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Inherent Challenges of Randomized Shooting Strategies on Deblending and a Robust Multistage Prior Based Solution

Cited by 3 publications

References 0 publications

Deblending a sparse OBN survey acquired with a generalized survey optimization scheme

Deblending a sparse OBN survey acquired with a generalized survey optimization scheme

A practical approach to automate end-to-end multi-stage iterative source separation with prior framework using machine learning

Inversion-based multistage seismic data processing with physics-driven priors

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