Deep Learning for Seismic Image Super-Resolution

Summary We developed a novel machine learning (ML) approach for seismic image resolution enhancement by integrating well log measurements, specifically designed for dataset with a limited number of sparsely distributed wells.

Authors

Wenyi Hu (ORCID: https://orcid.org/0000-0002-0098-368X)
Aria Abubakar (ORCID: https://orcid.org/0000-0003-4025-3443)
M. Branston
Haibin Di (ORCID: https://orcid.org/0000-0003-2194-9779)
Son Phan

Publication Details

Published: 2025-01-01
DOI: https://doi.org/10.3997/2214-4609.202571017
Primary Topic: Seismic Imaging and Inversion Techniques
Type: article
Field-Weighted Citation Impact: 0.00

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article

Deep Learning for Seismic Image Super-Resolution

Wenyi Hu, Aria Abubakar, M. Branston, Haibin Di et al.

Jan 1, 2025

Seismic Imaging and Inversion Techniques

article

Deep Learning for Seismic Image Super-Resolution

Wenyi Hu, Aria Abubakar, M. Branston, Haibin Di, Son Phan

January 1, 2025article en

Abstract

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Seismic Imaging and Inversion Techniques

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Deep Learning for Seismic Image Super-Resolution — Wenyi Hu, Aria Abubakar, et al. · (2025) | TGRS Research Map | TGRS