A wavelet-based method for normal moveout correction

ABSTRACT Seismic normal moveout (NMO) correction processes a seismic nonzero-offset trace sample by sample conventionally, resulting in stretching at the NMO-corrected trace. This effect of NMO stretching degrades the time resolution of NMO-corrected seismic traces and compromises the analysis of amplitude variation with offset (AVO). A wavelet-based method for NMO correction (W-NMO) was proposed, which will reduce the NMO stretching effect. The W-NMO method models seismic traces of a common midpoint gather as a linear combination of weighted unit monopole seismic responses, in which the weights correspond to a set of coefficients. These weighted monopole seismic responses are statistically shifted from their nonzero-offset two-way traveltime to the zero-offset two-way traveltime, and as a result, all time samples associated with the same reflection event of a seismic trace share a common NMO correction time. The W-NMO method preserves the integrity of reflection events without introducing stretching, thereby enabling effective subsequent processing and analysis. Synthetic and field data examples demonstrated that W-NMO correction preserves the shape of seismic reflection events when provided with accurate wavelet and NMO correction velocities and enhances time resolution and lateral continuity in seismic data.

Authors

Institutions

Publication Details

Journal
Geophysics
Published
2025-10-27
DOI
https://doi.org/10.1190/geo-2025-0010
Primary Topic
Seismic Imaging and Inversion Techniques
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A wavelet-based method for normal moveout correction

Yanghua Wang
Geophysics
Seismic Imaging and Inversion Techniques
article

A wavelet-based method for normal moveout correction

Yanghua Wang
article en

Abstract

ABSTRACT Seismic normal moveout (NMO) correction processes a seismic nonzero-offset trace sample by sample conventionally, resulting in stretching at the NMO-corrected trace. This effect of NMO stretching degrades the time resolution of NMO-corrected seismic traces and compromises the analysis of amplitude variation with offset (AVO). A wavelet-based method for NMO correction (W-NMO) was proposed, which will reduce the NMO stretching effect. The W-NMO method models seismic traces of a common midpoint gather as a linear combination of weighted unit monopole seismic responses, in which the weights correspond to a set of coefficients. These weighted monopole seismic responses are statistically shifted from their nonzero-offset two-way traveltime to the zero-offset two-way traveltime, and as a result, all time samples associated with the same reflection event of a seismic trace share a common NMO correction time. The W-NMO method preserves the integrity of reflection events without introducing stretching, thereby enabling effective subsequent processing and analysis. Synthetic and field data examples demonstrated that W-NMO correction preserves the shape of seismic reflection events when provided with accurate wavelet and NMO correction velocities and enhances time resolution and lateral continuity in seismic data.

GeophysicsVol. 91(1)
University of Alabama (US), NIHR Imperial Biomedical Research Centre (GB), Department of Chemistry and Earth Sciences (BY), Geological Survey of Alabama (US), Imperial College London (GB)
Openalex Percentile: Top 67%
Seismic Imaging and Inversion Techniques
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

A wavelet-based method for normal moveout correction — Yanghua Wang · Geophysics (2025) | TGRS Research Map | TGRS