Blended data separation and primary estimation via closed-loop SRME based on the 3D L1-norm sparse inversion

Conference paper (2020)

Authors

T. Wang Jilin University

D.J. Verschuur ImPhys/Medical Imaging -

Jing Sun Jilin University

Deli Wang Jilin University

Research Group

ImPhys/Medical Imaging () (TU Delft)

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http://resolver.tudelft.nl/uuid:e93ba0fa-76fe-4508-8ec6-338817f7683e

Published Date

2020

Language

English

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Faculty

Applied Sciences

Department

ImPhys/Imaging Physics

Research Group

ImPhys/Medical Imaging

Abstract

Blended acquisition has become popular due to its high efficiency and low cost. In conventional processing procedure, overlapping seismic data need to be separated as if they were acquired through the unblended way before primary estimation which is time-consuming. Given this situation, we utilize the recently introduced algorithm closed-loop SRME based on 3D L1-norm sparse inversion methodology, in which primaries of the deblended shot records can be directly estimated from the blended data. With the introduction of the blended operator to this technique, a link is made between the blended and conventional acquisition. A one-step inversion is proposed, achieving simultaneous seismic deblending and primary estimation. Preliminary results of synthetic data are promising.