Multi‐information‐constrained static correction in the foreland area of the southern margin of the Junggar Basin

Abstract The southern margin of the Junggar Basin is abundant in oil and gas resources, with substantial exploration potential. However, the region's complex surface conditions, marked by significant elevation variations, abrupt near‐surface structural changes and uneven gravel layer thickness in the foreland, present significant challenges for static correction. These complexities severely impact imaging accuracy and impede further exploration efforts. To address these challenges, we propose a multi‐information‐constrained static‐correction method that integrates first‐arrival traveltime tomography with refraction traveltime migration. The tomography is constrained by jointly utilizing seismic first‐arrival times, micro‐well logs and geological outcrop data, yielding a geologically plausible near‐surface velocity model. This model then serves as the input for refraction traveltime migration, which is employed to delineate the geometry of the low‐velocity weathering layer with higher fidelity, ultimately leading to more accurate static corrections. The application in the Junggar Basin foreland shows that our method produces a sharper, more geologically consistent weathering‐layer interface compared to conventional tomography using a velocity contour datum. This leads to superior static corrections, evidenced by enhanced reflection continuity and sharper focus in the final stacked image.

Authors

Institutions

Publication Details

Journal
Near Surface Geophysics
Published
2026-02-26
DOI
https://doi.org/10.1002/nsg.70043
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

Multi‐information‐constrained static correction in the foreland area of the southern margin of the Junggar Basin

Zhiwen Xue, Yihao Wang
Near Surface Geophysics
Seismic Imaging and Inversion Techniques
article

Multi‐information‐constrained static correction in the foreland area of the southern margin of the Junggar Basin

Zhiwen Xue, Yihao Wang
article en

Abstract

Abstract The southern margin of the Junggar Basin is abundant in oil and gas resources, with substantial exploration potential. However, the region's complex surface conditions, marked by significant elevation variations, abrupt near‐surface structural changes and uneven gravel layer thickness in the foreland, present significant challenges for static correction. These complexities severely impact imaging accuracy and impede further exploration efforts. To address these challenges, we propose a multi‐information‐constrained static‐correction method that integrates first‐arrival traveltime tomography with refraction traveltime migration. The tomography is constrained by jointly utilizing seismic first‐arrival times, micro‐well logs and geological outcrop data, yielding a geologically plausible near‐surface velocity model. This model then serves as the input for refraction traveltime migration, which is employed to delineate the geometry of the low‐velocity weathering layer with higher fidelity, ultimately leading to more accurate static corrections. The application in the Junggar Basin foreland shows that our method produces a sharper, more geologically consistent weathering‐layer interface compared to conventional tomography using a velocity contour datum. This leads to superior static corrections, evidenced by enhanced reflection continuity and sharper focus in the final stacked image.

Near Surface GeophysicsVol. 24(2)
Petro-Canada (CA), Chinese Academy of Geological Sciences (CN), China University of Geosciences (Beijing) (CN)
Openalex Percentile: Top 50%
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.