173 citations · 338 across the 16 of their papers we have counts for
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Semi-supervised Sequence Modeling for Elastic Impedance Inversion
Motaz Alfarraj, Ghassan AlRegib
Recent applications of machine learning algorithms in the seismic domain have shown great potential in different areas such as seismic inversion and interpretation. However, such a…
Estimation of Acoustic Impedance from Seismic Data using Temporal Convolutional Network
Ahmad Mustafa, Motaz Alfarraj, Ghassan AlRegib
In exploration seismology, seismic inversion refers to the process of inferring physical properties of the subsurface from seismic data. Knowledge of physical properties can prove…
Semi-supervised Learning for Acoustic Impedance Inversion
Motaz Alfarraj, Ghassan AlRegib
Recent applications of deep learning in the seismic domain have shown great potential in different areas such as inversion and interpretation. Deep learning algorithms, in general,…
Structure Label Prediction Using Similarity-Based Retrieval and Weakly-Supervised Label Mapping
Yazeed Alaudah, Motaz Alfarraj, Ghassan AlRegib
Recently, there has been significant interest in various supervised machine learning techniques that can help reduce the time and effort consumed by manual interpretation workflows…
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…
Multiscale Fusion for Seismic Geometric Attribute Enhancement
Motaz Alfarraj, Haibin Di, Ghassan AlRegib
In this abstract, we propose a multiscale fusion technique to enhance seismic geometric attributes, such as dip and curvature, which are very sensitive to noise present in seismic…
Petrophysical Property Estimation from Seismic Data Using Recurrent Neural Networks
Motaz Alfarraj, Ghassan AlRegib
Reservoir characterization involves the estimation petrophysical properties from well-log data and seismic data. Estimating such properties is a challenging task due to the non-lin…
Multiresolution Analysis and Learning for Computational Seismic Interpretation
Motaz Alfarraj, Yazeed Alaudah, Zhiling Long +1
We explore the use of multiresolution analysis techniques as texture attributes for seismic image characterization, especially in representing subsurface structures in large migrat…
A Machine Learning Benchmark for Facies Classification
Yazeed Alaudah, Patrycja Michalowicz, Motaz Alfarraj +1
The recent interest in using deep learning for seismic interpretation tasks, such as facies classification, has been facing a significant obstacle, namely the absence of large publ…