Hybrid data driven drilling and rate of penetration optimization AM Alali, MF Abughaban, BM Aman, S Ravela Journal of Petroleum Science and Engineering 200, 108075, 2021 | 49 | 2021 |
Stuck Pipe Early Warning System Utilizing Moving Window Machine Learning Approach OS Ahmed, BM Aman, MA Zahrani, FI Ajikobi Abu Dhabi International Petroleum Exhibition and Conference, D031S090R002, 2019 | 26 | 2019 |
Real-Time Drilling Models Monitoring Using Artificial Intelligence B Alotaibi, B Aman, M Nefai SPE Middle East Oil and Gas Show and Conference, D021S001R004, 2019 | 14 | 2019 |
Novel Stuck Pipe Troubles Prediction Model Using Reinforcement Learning M Alzahrani, B Alotaibi, B Aman International Petroleum Technology Conference, D021S042R003, 2022 | 5 | 2022 |
The Challenges with Drilling Real-Time Data and Proposed Data Management Framework MA Alzahrani, WB Contreras Otalvora, BM Alotaibi, B Aman Abu Dhabi International Petroleum Exhibition and Conference, D011S027R001, 2022 | 1 | 2022 |
Drilling Operations Real-Time Monitoring and Alerting Using Advanced Machine Learning Algorithms MA Alzahrani, BM Alotaibi, B Aman Abu Dhabi International Petroleum Exhibition and Conference, D031S074R004, 2022 | 1 | 2022 |
Reservoir History Matching Using Ensemble Kalman Filters with Anamorphosis Transforms BM Aman | 1 | 2012 |
Using Nonlinear Least Squares Method & Techniques to Predict Drilling Performance Based on Learning Curve Equation M Amer, B Aman, A Radhwi SPE Middle East Intelligent Oil and Gas Symposium, D021S005R002, 2023 | | 2023 |
Rate of penetration (rop) optimization advisory system BM Aman, HF Spoerker, MS Nefai, A Alexeyenko, BM Otaibi US Patent App. 17/111,851, 2022 | | 2022 |