Multichannel sparse spike inversion | Zendy

Deborah Pereg | Zendy; Israel Cohen | Zendy; Anthony Vassiliou | Zendy

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Multichannel sparse spike inversion

Author(s) -

Deborah Pereg,

Israel Cohen,

Anthony Vassiliou

Publication year - 2017

Publication title -

journal of geophysics and engineering

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.623

H-Index - 38

eISSN - 1742-2140

pISSN - 1742-2132

DOI - 10.1088/1742-2140/aa7bc6

Subject(s) - spike (software development) , inversion (geology) , geology , computer science , algorithm , seismology , software engineering , tectonics

In this paper, we address the problem of sparse multichannel seismic deconvolution. We introduce Multichannel Sparse Spike Inversion (MSSI) as an iterative procedure, which deconvolves the seismic data and recovers the earth two-dimensional (2D) reflectivity image, while taking into consideration the relations between spatially-neighboring traces. We demonstrate the improved performance of the proposed algorithm and its robustness to noise, compared to competitive single-channel algorithm through simulations and real seismic data examples.

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