Simultaneous Seismic Sources Separation Based on Matrioshka Orthogonal Matching Pursuit, Application in Oil and Gas Exploration

Ekaterina Shipilova (1) , Michel Barret (2, 3) , Matthieu Bloch (4, 2) , Jean-Luc Boelle (1) , Jean-Luc Collette (3)

1 CSTJF - Centre scientifique et Technique Jean Feger
2 Georgia Tech Lorraine [Metz]
3 CentraleSupélec
4 ECE GeorgiaTech - School of Electrical and Computer Engineering - Georgia Insitute of Technology

We present Matrioshka orthogonal matching pursuit (OMP), a method consisting of two nested OMPs for separating seismic sources at an early stage of the signal processing chain. Matrioshka OMP is based on models of sensor signals that place nonrestrictive assumptions on the seismic survey using simultaneous sources. Our seismic event model is based on the spatial coherence of signals, which results in a straight or slightly curved feature in the trace representation of the data with a specific wavelet, whose magnitude can linearly vary according to the offset. We demonstrate the effectiveness of the approach on synthetic and real data.

Keywords: Acquisition; matching pursuit; optimization methods; seismic signal processing; sources separation

Domains: Engineering Sciences [physics]; Signal and Image processing; Physics [physics]; Physics [physics]; Geophysics [physics.geo-ph]; Mathematics [math]; Optimization and Control [math.OC]

Ekaterina Shipilova, Michel Barret, Matthieu Bloch, Jean-Luc Boelle, Jean-Luc Collette. Simultaneous Seismic Sources Separation Based on Matrioshka Orthogonal Matching Pursuit, Application in Oil and Gas Exploration. IEEE Transactions on Geoscience and Remote Sensing, 2020, pp.1-18. ⟨10.1109/TGRS.2019.2959650⟩. ⟨hal-02625829⟩