PetroGAN: A novel GAN-based approach to generate realistic, label-free petrographic datasets. - Iván Ferreira; Luis Ochoa; Ardiansyah Koeshidayatullah (CoRR, 2022)

Reservoir Property Prediction in the North Sea Using Machine Learning. - Abdulrahman Al-Fakih; Sanlinn I. Kaka; Ardiansyah Koeshidayatullah (IEEE Access, 2023)

ForamViT-GAN: Exploring New Paradigms in Deep Learning for Micropaleontological Image Analysis. - Ivan Ferreira-Chacua; Ardiansyah Koeshidayatullah (IEEE Access, 2023)

Is attention all geosciences need? Advancing quantitative petrography with attention-based deep learning. - Ardiansyah Koeshidayatullah; Ivan Ferreira-Chacua; Weichang Li (Comput. Geosci., 2023)

Enhanced anomaly detection in well log data through the application of ensemble GANs. - Abdulrahman Al-Fakih; Ardiansyah Koeshidayatullah; Tapan Mukerji; Sanlinn I. Kaka (CoRR, 2024)

Well log data generation and imputation using sequence-based generative adversarial networks. - Abdulrahman Al-Fakih; Ardiansyah Koeshidayatullah; Tapan Mukerji; Sadam Al-Azani; Sanlinn I. Kaka (CoRR, 2024)

Leveraging Time-Series Foundation Model for Subsurface Well Logs Prediction and Anomaly Detection. - Ardiansyah Koeshidayatullah; Abdulrahman Al-Fakih; Sanlinn I. Kaka (CoRR, 2024)

Leveraging automated deep learning (AutoDL) in geosciences. - Nandito Davy; Umair bin Waheed; Ardiansyah Koeshidayatullah; Ammar El-Husseiny; Korhan Ayranci; Nicholas B. Harris; Tian Dong (Comput. Geosci., 2024)

Toward User-Guided Seismic Facies Interpretation With a Pre-Trained Large Vision Model. - Joshua Atolagbe; Ardiansyah Koeshidayatullah (IEEE Access, 2025)

Pix2Geomodel: A Next-Generation Reservoir Geomodeling with Property-to-Property Translation. - Abdulrahman Al-Fakih; Ardiansyah Koeshidayatullah; Nabil A. Saraih; Tapan Mukerji; Rayan Kanfar; Abdulmohsen Alali; Sanlinn I. Kaka (CoRR, 2025)