• A Novel Empirical and Deep Ensemble Super Learning Approach in Predicting Reservoir Wettability via Well Logs 

      Otchere, Daniel Asante; Mohammed, Mohammed Abdalla Ayoub; Ganat, Tarek Omar Arbi; Gholami, Raoof; Merican, Zulkifli Merican Aljunid (Peer reviewed; Journal article, 2022)
      Accurately measuring wettability is of the utmost importance because it influences several reservoir parameters while also impacting reservoir potential, recovery, development, and management plan. As such, this study ...
    • Rigorous Connectionist Models to Predict Carbon Dioxide Solubility in Various Ionic Liquids 

      Ouaer, Hocine; Hosseini, Amir Hossein; Amar, Menad Nait; Ben Seghier, Mohamed El Amine; Ghriga, Mohammed Abdelfatah; Nabipour, Narjes; Andersen, Pål Østebø; Mosavi, Amir; Shamshirband, Shahaboddin (Journal article; Peer reviewed, 2020-01)
      Estimating the solubility of carbon dioxide in ionic liquids, using reliable models, is of paramount importance from both environmental and economic points of view. In this regard, the current research aims at evaluating ...