Predicting carbonate formation permeability using machine learningHuy Dat Tran, Ibnelwaleed A. Hussein, Ahmed Kasha et al.|Journal of Petroleum Science and Engineering|2020Cited by 26
Machine Learning for Capillary Pressure EstimationAhmed Kasha, Ibnelwaleed A. Hussein, A. Sakhaee-Pour|SPE Reservoir Evaluation & Engineering|2021Cited by 13
Integrated approach for closure correction of mercury injection capillary pressure measurementsAhmed Kasha, Hamad Al-Saad Al-Kuwari, A. Sakhaee-Pour et al.|Geoenergy Science and Engineering|2023Cited by 10
Empirical Relation for Capillary Pressure in ShaleMehdi Alipour K, Hamad Al-Saad Al-Kuwari, Ahmed Kasha et al.|Petrophysics – The SPWLA Journal of Formation Evaluation and Reservoir Description|2022Cited by 9
An Integrated Approach for Closure Correction of Mercury Injection Capillary Pressure MeasurementsAhmed Kasha, Hamad A.Rahman S A Al-kuwari, Ibnelwaleed A. Hussein et al.|SSRN Electronic Journal|2022Cited by 0