NDLI: Denoising of pre-stack seismic data using subspace estimation methods

Content Provider	IET Digital Library
Author	Elumalai, Karthikeyan Kumar, Shailesh Lall, Brejesh Patney, Rakesh Kumar
Abstract	Denoising is one of the core steps in seismic data processing flow. The seismic gather consists of multiple traces captured at different receivers. A set of receivers observe waves which are reflected from the same reflection point. Those traces need to be grouped together as they contain the same information about the earth subsurface layers. This is done by finding a common mid-point (CMP) between the source and geophones. The time delay between CMP gathered traces are corrected by the normal move out correction method but the individual traces are corrupted by noise. In this paper we, propose a method for denoising individual traces. The set of traces can be modelled as belonging to a low-dimensional subspace of an ambient signal space. This allows for construction of sparse representations of each trace in terms of other traces in the CMP gather. The resulting sparse representations are subsequently utilised to construct approximations of individual traces and thus, noise is suppressed. We constructed, the approximations using orthogonal matching pursuit. We applied proposed method to synthetic and field seismic data, the proposed technique performs better on established benchmarks while capturing the true locations of weak reflections and effectively attenuating the random noise.
Starting Page	992
Ending Page	999
Page Count	8
ISSN	17519675
Volume Number	12
e-ISSN	17519683
Issue Number	Issue 8, Oct (2018)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-spr/12/8
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-spr.2017.0556
Journal	IET Signal Processing
Publisher Date	2018-04-13
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Ambient Signal Space CMP Common Mid-point Data And Information; Acquisition, Processing, Storage And Dissemination in Geophysics Digital Signal Processing Earth Subsurface Layer Field Seismic Data Geophones Geophysical Signal Processing Geophysical Technique And Equipment Geophysics Computing Instrumentation And Technique For Geophysical, Hydrospheric And Lower Atmosphere Research Interpolation And Function Approximation Iterative Method Low-dimensional SubSpace Numerical Analysis Numerical Approximation And Analysis Orthogonal Matching Pursuit Algorithm Pre-stack Seismic Data Denoising Random Noise Receiver Seismic Data Processing Flow Seismology Signal Denoising Signal Processing And Detection Signal Representation Sparse Representations SubSpace Estimation Method Time Delay
Content Type	Text
Resource Type	Article
Subject	Signal Processing Electrical and Electronic Engineering

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