Multichannel Semi-blind Sparse Deconvolution of Seismic Signals

Multichannel Semi-blind Deconvolution (MSBD) of seismic signals

Seismic deconvolution is a general problem associated with recovering the reflectivity series from a seismic signal when the wavelet is known. In this paper, we solve the problem of semi-blind seismic deconvolution, where the wavelet is known up to some error. The Multichannel Semi-blind Deconvolution (MSBD) model was developed for cases where there is some uncertainty in the assumed wavelet. W...

Multichannel blind seismic deconvolution using dynamic programming

In this paper, we present an algorithm for multichannel blind deconvolution of seismic signals, which exploits lateral continuity of earth layers by dynamic programming approach. We assume that reflectors in consecutive channels, related to distinct layers, form continuous paths across channels. We introduce a quality measure for evaluating the quality of a continuous path, and iteratively appl...

Dynamic Programming for Multichannel Blind Seismic Deconvolution

We present an algorithm for multichannel blind deconvolution of seismic signals, which exploits lateral continuity of earth layers by dynamic programming approach. We assume that reflectors in consecutive channels, related to distinct layers, form continuous paths across channels. We introduce a quality measure for evaluating the quality of a continuous path, and iteratively apply dynamic progr...

Multichannel Sparse Spike Inversion

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 twodimensional (2D) reflectivity image, while taking into consideration the relations between spatially-neighboring traces. We demonstrate the improved performance of the p...

Modified Sparse Multichannel Blind Deconvolution