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Adaptive fault enhancement in OVT domain based on anisotropy theory.

Authors :
Lu, Yujia
Cao, Junxing
Liu, Zhege
You, Jiachun
Hu, Jiangtao
Source :
Journal of Applied Geophysics. Apr2024, Vol. 223, pN.PAG-N.PAG. 1p.
Publication Year :
2024

Abstract

As a result of the combined influence of multi-stage and multi-directional tectonic activities, the subsurface medium in complex structural areas can easily develop intricate fault systems with varying scales and directions. Post-stack seismic and azimuth-stack attributes have limited precision in recognizing such complex fault systems. In this paper, we propose an adaptive fault enhancement workflow in offset vector tile (OVT) domain based on anisotropy theory to improve the recognition ability of seismic data for multi-directional faults and minor faults. The vertical directions of fault strikes and tectonic strikes estimated by the gradient structure tensor (GST) can be used as sensitive observation azimuths of faults. At the same time, according to the anisotropic forward modeling and real data amplitude variation with offset (AVO) analysis of minor faults in marine shale of Wufeng-Longmaxi formations in Sichuan Basin, China, the incident angles with the largest difference between isotropic and anisotropic reflection coefficients can be used as sensitive incident angles of faults. A new fault enhancement seismic data can be reconstructed from the OVT gathers by traversing the sensitive azimuths and incident angles adaptively. The 3D model and real data indicate that the faults enhanced by the workflow we proposed are clearer in shape, smaller in scale, and richer in details, which is consistent with geology and well. • We propose an adaptive fault enhancement workflow in OVT domain. • The workflow considers the azimuth and incidence contained in OVT gathers. • We discussed the recognition ability of angle stack for minor faults. • The result of shale reservoir in Sichuan Basin is consistent with geology and well. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
09269851
Volume :
223
Database :
Academic Search Index
Journal :
Journal of Applied Geophysics
Publication Type :
Academic Journal
Accession number :
176648012
Full Text :
https://doi.org/10.1016/j.jappgeo.2024.105347