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Research on a 3D Seismic Horizon Automatic-Tracking Method Based on Corrugated Global Diffusion

Authors :
Mingjun Su
Feng Qian
Shengkai Cui
Cheng Yuan
Xiangli Cui
Source :
Applied Sciences, Vol 13, Iss 10, p 6155 (2023)
Publication Year :
2023
Publisher :
MDPI AG, 2023.

Abstract

The core challenges to automatic full-horizon tracking are how to establish a potential local connection relationship between the horizon points, conduct accurate global diffusion in a three-dimensional space, and finally, how to form a complex horizon surface. The existing attribute-based horizon-tracking methods based on waveform similarity, dip guidance, and RGT (relative geological time) can not solve the problems of local connection and global diffusion at the same time. In view of this challenge, this paper proposes an automatic 3D seismic horizon-tracking method based on global corrugated diffusion, which can completely integrate local connection and global diffusion so that all horizons in the whole data volume can be interpreted simultaneously. For the problem of local horizon-point connection, this paper uses the correlation between seismic trace pairs based on DTW (dynamic time warping) correlation to mine the connection mode between horizon points. For the global diffusion problem, this paper proposes the realization of global modeling based on the relationship between seismic samples, constructing a complex 3D horizon through a central ripple-diffusion process. The example shows that the horizon tracked by this method well reflects the original stratum occurrence and stratum-contact relationship, retains the structural details, accurately reflects the structural shape, and realizes automatic tracking across faults.

Details

Language :
English
ISSN :
13106155 and 20763417
Volume :
13
Issue :
10
Database :
Directory of Open Access Journals
Journal :
Applied Sciences
Publication Type :
Academic Journal
Accession number :
edsdoj.f089a95ffae845f590f617a11483fce8
Document Type :
article
Full Text :
https://doi.org/10.3390/app13106155