Application of Machine Learning for Mineralogy Prediction from Well Logs in the Bakken Petroleum System A Laalam, A Boualam, H Ouadi, S Djezzar, O Tomomewo, I Mellal, ... SPE Annual Technical Conference and Exhibition?, D012S063R002, 2022 | 13 | 2022 |
Multiscale Formation Evaluation and Rock Types Identification in the Middle Bakken Formation I Mellal, ML Malki, A Latrach, O Ameur-Zaimech, O Bakelli SPWLA 64th Annual Logging Symposium, 2023 | 7 | 2023 |
Formation Evaluation Challenges of Tight and Shale Reservoirs. A Case Study of the Bakken Petroleum System I Mellal, V Rasouli, A Dehdouh, A Letrache, C Abdelhamid, ML Malki, ... ARMA US Rock Mechanics/Geomechanics Symposium, ARMA-2023-0894, 2023 | 6 | 2023 |
A Critical Review of Physics-Informed Machine Learning Applications in Subsurface Energy Systems A Latrach, ML Malki, M Morales, M Mehana, M Rabiei | 6* | |
Identification and Quantification of the Effect of Fracture-Driven Interactions on Production from Parent and Child Wells in Williston Basin A Latrach, A Merzoug, C Abdelhamid, I Mellal, M Rabiei SPE/AAPG/SEG Unconventional Resources Technology Conference, Denver …, 2023 | 5 | 2023 |
Water Saturation Prediction in the Middle Bakken Formation Using Machine Learning I Mellal, A Latrach, V Rasouli, O Bakelli, A Dehdouh, H Ouadi Eng 4 (3), 1951-1964, 2023 | 4 | 2023 |
Machine Learning Based Predictive Models for UCS and Young’s Modulus of the Dakota Sand Using Schmidt Hammer Rebound HAK Chellal, A Latrach, O Bakelli 57th U.S. Rock Mechanics/Geomechanics Symposium, ARMA2023-0819, 2023 | 4 | 2023 |
Application of Deep Learning for Predictive Maintenance of Oilfield Equipment A Latrach University of M'hamed Bougara Boumerdes, 2020 | 3 | 2020 |
Novel Approach for Elastic Anisotropy Assessment in Organic-Rich Shales: A Case Study from Early-Mature Region of the Bakken Formation ML Malki, V Rasouli, A Latrach, I Mellal, B Sennaoui, HAK Chellal, A Larbi ARMA US Rock Mechanics/Geomechanics Symposium, ARMA-2023-0365, 2023 | 1 | 2023 |
Water Saturation Prediction in the Middle Bakken Formation Using Machine Learning. Eng 2023, 4, 1951–1964 I Mellal, A Latrach, V Rasouli, O Bakelli, A Dehdouh, H Ouadi | | 2023 |