1 citations · 1 across the 5 of their papers we have counts for
5 papers
Pix2Geomodel: A Next-Generation Reservoir Geomodeling with Property-to-Property Translation
Abdulrahman Al-Fakih, Ardiansyah Koeshidayatullah, Nabil A. Saraih +4
Accurate geological modeling is critical for reservoir characterization, yet traditional methods struggle with complex subsurface heterogeneity, and they have problems with conditi…
SeisCoDE: 3D Seismic Interpretation Foundation Model with Contrastive Self-Distillation Learning
Goodluck Archibong, Ardiansyah Koeshidayatullah, Umair Waheed +3
Seismic interpretation is vital for understanding subsurface structures but remains labor-intensive, subjective, and computationally demanding. While deep learning (DL) offers prom…
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…
ForamViT-GAN: Exploring New Paradigms in Deep Learning for Micropaleontological Image Analysis
Ivan Ferreira-Chacua, Ardiansyah Koeshidayatullah
Micropaleontology in geosciences focuses on studying the evolution of microfossils (e.g., foraminifera) through geological records to reconstruct past environmental and climatic co…