Prestack data enhancement with phase corrections in time‐frequency domain guided by local multidimensional stacking

ABSTRACT We present a new approach to enhancing weak prestack reflection signals without sacrificing higher frequencies. As a first step, we employ known multidimensional local stacking to obtain an approximate ‘model of the signal’. Guided by phase spectra from this model, we can detect very weak s...

Full description

Saved in:
Bibliographic Details
Published in:Geophysical Prospecting 2020-07, Vol.68 (6), p.1811-1818
Main Authors: Bakulin, Andrey, Neklyudov, Dmitri, Silvestrov, Ilya
Format: Article
Language:English
Subjects:
Corrections
Data
Data processing
Desert environments
Masking
Methods
New family
Noise
Signal processing
Signal reflection
Speech processing
Stacking
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:ABSTRACT We present a new approach to enhancing weak prestack reflection signals without sacrificing higher frequencies. As a first step, we employ known multidimensional local stacking to obtain an approximate ‘model of the signal’. Guided by phase spectra from this model, we can detect very weak signals and make them visible and coherent by ‘repairing’ corrupted phase of original data. Both presented approaches – phase substitution and phase sign corrections – show good performance on complex synthetic and field data suffering from severe near‐surface scattering where conventional processing methods are rendered ineffective. The methods are mathematically formulated as a special case of time‐frequency masking (common in speech processing) combined with the signal model from local stacking. This powerful combination opens the avenue for a completely new family of approaches for multi‐channel seismic processing that can address seismic processing of land data with nodes and single sensors in the desert environment.
ISSN:0016-8025
1365-2478
DOI:10.1111/1365-2478.12956