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Abdeldjalil Latrach
Abdeldjalil Latrach
Adresse e-mail validée de uwyo.edu
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Année
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
132022
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
72023
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
62023
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
52023
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
42023
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
42023
Application of Deep Learning for Predictive Maintenance of Oilfield Equipment
A Latrach
University of M'hamed Bougara Boumerdes, 2020
32020
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
12023
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
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