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20182021
most citedSubsurface structure analysis using computational interpretation and learning: A visual signal processing perspective

74 citations · 248 across the 25 of their papers we have counts for

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Showing physics.geo-phShow all

5 papers · 1 filter

physics.geo-ph2021

Joint Learning for Spatial Context-based Seismic Inversion of Multiple Datasets for Improved Generalizability and Robustness

Ahmad Mustafa, Motaz Alfarraj, Ghassan AlRegib

Seismic inversion plays a very useful role in detailed stratigraphic interpretation of seismic data. Seismic inversion enables estimation of rock properties over the complete seism…

physics.geo-ph2019★ 12 cited

3D Curvature Analysis of Seismic Waveforms and its Interpretational Implications

Haibin Di, Motaz Alfarraj, Ghassan AlRegib

The idea of curvature analysis has been widely used in subsurface structure interpretation from three-dimensional (3D) seismic data (e.g., fault/fracture detection and geomorpholog…

physics.geo-ph2019★ 5 cited

A Directional Coherence Attribute for Seismic Interpretation

Yazeed Alaudah, Ghassan AlRegib

The coherence attribute is one of the most commonly used attributes in seismic interpretation. In this paper, we propose building on the recently introduced Generalized Tensor-base…

physics.geo-ph2019★ 41 cited

Learning to Label Seismic Structures with Deconvolution Networks and Weak Labels

Yazeed Alaudah, Shan Gao, Ghassan AlRegib

Recently, there has been increasing interest in using deep learning techniques for various seismic interpretation tasks. However, unlike shallow machine learning models, deep learn…

physics.geo-ph2018★ 7 cited

Blind Curvelet based Denoising of Seismic Surveys in Coherent and Incoherent Noise Environments

Naveed Iqbal, Mohamed Deriche, Ghassan AlRegib +1

The localized nature of curvelet functions, together with their frequency and dip characteristics, makes the curvelet transform an excellent choice for processing seismic data. In…