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Machine learning prediction method for assessing water quality impacts on sandstone reservoir permeability and its application in energy development
Xiankun Song, Yuetian Liu, Zhenyu Song, Jianzhong Wang, Xiaowen Yang, Guanlin Li and Pingtian Fan International Journal of Hydrogen Energy 100 1046 (2025) https://doi.org/10.1016/j.ijhydene.2024.12.431
Chemical incompatibility between formation and injection water: implications for oil recovery in porous media
Prediction of barite scale formation and inhibition in hydrocarbon reservoirs using AI modeling: Focus on different optimization algorithms
Ouafa Belkacem, Ahmed Rezrazi, Kamel Aizi, Lokmane Abdelouahed, Maamar Laidi, Abdelhafid Touil, Leila Cherifi and Salah Hanini Results in Engineering 26 105222 (2025) https://doi.org/10.1016/j.rineng.2025.105222
Development of machine learning models for predicting the deposition of sulfide scales in oil production wells
Mohamed Mostafa Askar, Mahmoud Abu El Ela, Ahmed H. El-Banbi and Mohamed H. M. Sayyouh Journal of King Saud University – Engineering Sciences 37(7) (2025) https://doi.org/10.1007/s44444-025-00045-3
Predictive modeling of permeability loss at high-barium formation using symbolic regression
Saifi Redha, Zeraibi Nourreddine, Gareche Mourad, Nait Amar Menad and Benamara Chahrazed International Journal of Applied Mechanics and Engineering 30(4) 137 (2025) https://doi.org/10.59441/ijame/209468
Exploring the power of machine learning in analyzing the gas minimum miscibility pressure in hydrocarbons
The Effect of Blending Polymeric and Phosphonate Scale Inhibitors on Fluid/Fluid and Rock/Fluid Interactions: A Comprehensive Experimental and Theoretical Study
Predicting formation damage of oil fields due to mineral scaling during water-flooding operations: Gradient boosting decision tree and cascade-forward back-propagation network
Aydin Larestani, Seyed Pezhman Mousavi, Fahimeh Hadavimoghaddam and Abdolhossein Hemmati-Sarapardeh Journal of Petroleum Science and Engineering 208 109315 (2022) https://doi.org/10.1016/j.petrol.2021.109315
Shale gas load recovery modeling and analysis after hydraulic fracturing based on genetic expression programming: A case study of southern Sichuan Basin shale
Lan Ren, Zhenhua Wang, Jinzhou Zhao, Jianjun Wu, Ran Lin, Jianfa Wu, Yongqiang Fu and Dengji Tang Journal of Natural Gas Science and Engineering 107 104778 (2022) https://doi.org/10.1016/j.jngse.2022.104778
Improved Tracking of the Rheological Properties of Max-Bridge Oil-Based Mud Using Artificial Neural Networks