| 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 | 16 | 2022 |
| A Critical Review of Physics-Informed Machine Learning Applications in Subsurface Energy Systems A Latrach, ML Malki, M Morales, M Mehana, M Rabiei | 12* | |
| 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 | 8 | 2023 |
| 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 |
| 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 | 6 | 2023 |
| 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 | 6 | 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 | 6 | 2023 |
| Application of Deep Learning for Predictive Maintenance of Oilfield Equipment A Latrach University of M'hamed Bougara Boumerdes, 2020 | 6 | 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 | 2 | 2023 |
| Machine Learning Algorithms for Predicting Liquid Loading in Gas Wells N Bouabdallah, A Latrach, A Aihar, A Fadairo | 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 | 1 | 2023 |
| Integrating Rock Physics Templates for Enhanced Seismic Interpretation: A Comprehensive Analysis of Influencing Factors on Frequency-Dependent Velocity of Tight Carbonate … ML Malki, L Allam, I Mellal, A Latrach, V Rasouli, A Larbi, H Chellal ARMA US Rock Mechanics/Geomechanics Symposium, ARMA-2024-1099, 2024 | | 2024 |
| Feasibility of Repurposing Oil and Gas Wells for Geothermal Energy Production in Wyoming, USA A Latrach, A Dehdouh, C Abdelhamid, I Mellal, M Rabiei ARMA US Rock Mechanics/Geomechanics Symposium, ARMA-2024-0504, 2024 | | 2024 |
| PS Machine Learning Application for Shear Velocity Prediction in Ahnet Basin, Algeria A Latrach, N Bouabdallah, A Aihar | | |
Ilyas MellalPh.D. Student in Petroleum Engineering在 uwyo.edu 的电子邮件经过验证
Ilyas MellalPh.D. Student in Petroleum Engineering在 uwyo.edu 的电子邮件经过验证
Ahmed MerzougUniversity of Texas at Austin在 utexas.edu 的电子邮件经过验证
Aimen LaalamPh.D. Student, Colorado School of Mines在 mines.edu 的电子邮件经过验证