1 citations · 2 across the 6 of their papers we have counts for
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Leveraging Time-Series Foundation Model for Subsurface Well Logs Prediction and Anomaly Detection
Ardiansyah Koeshidayatullah, Abdulrahman Al-Fakih, SanLinn Ismael Kaka
The rise in energy demand highlights the importance of suitable subsurface storage, requiring detailed and accurate subsurface characterization often reliant on high-quality boreho…
Well log data generation and imputation using sequence-based generative adversarial networks
Abdulrahman Al-Fakih, A. Koeshidayatullah, Tapan Mukerji +2
Well log analysis is crucial for hydrocarbon exploration, providing detailed insights into subsurface geological formations. However, gaps and inaccuracies in well log data, often…
Enhanced anomaly detection in well log data through the application of ensemble GANs
Abdulrahman Al-Fakih, A. Koeshidayatullah, Tapan Mukerji +1
Although generative adversarial networks (GANs) have shown significant success in modeling data distributions for image datasets, their application to structured or tabular data, s…