2022
DOI: 10.1155/2022/1529935
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Fine Complex Geological Structure Interpretation Based on Multiscale Seismic Dip Constraint

Abstract: With the development of seismic exploration technology, geological structure interpretation has become more and more refined, whereas random noise interference, subsalt weak seismic reflection signals, and other issues are also gradually emerged at the same time, which resulted in traditional geological structure interpretation accuracy reduction only relying on single seismic data. A novel technical process integrated time-frequency decomposition of seismic data, seismic dip constraints, and geological struct… Show more

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Cited by 2 publications
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“…At the present time, geological structure interpretation has been improved with the advancement of seismic exploration and interpretation techniques as well as advanced tools that are utilized for seismic and well logs interpretation such as seismic attributes, seismic inversion, lithofacies prediction, cluster analysis approach, reservoir quality prediction, multi-attributes analysis, deep learning, and machine learning. So, multiscale seismic dip constraint geological structure interpretation copes up the issue which integrates time-frequency decomposition of seismic data and geological structure interpretation (Ali et al, 2022;Anees et al, 2022;Hussain et al, 2022;Zhang et al, 2022).…”
Section: Introductionmentioning
confidence: 99%
“…At the present time, geological structure interpretation has been improved with the advancement of seismic exploration and interpretation techniques as well as advanced tools that are utilized for seismic and well logs interpretation such as seismic attributes, seismic inversion, lithofacies prediction, cluster analysis approach, reservoir quality prediction, multi-attributes analysis, deep learning, and machine learning. So, multiscale seismic dip constraint geological structure interpretation copes up the issue which integrates time-frequency decomposition of seismic data and geological structure interpretation (Ali et al, 2022;Anees et al, 2022;Hussain et al, 2022;Zhang et al, 2022).…”
Section: Introductionmentioning
confidence: 99%