Worked under supervision of Professor Mohammed Ahmed Aggour; (currently serving as a visiting professor at Texas A & M). We developed and tested a neural network model for predicting pressure drop in multiphase wells in Saudi Arabian fields (SPE 93832). The model has the ability to predict pressure drop in vertical wells carrying multiphase fluids with pronounced accuracy better than the current conventional methods “empirical correlations & mechanistic models”. This innovative approach is being used for the first time in literature regarding this field. A technical paper has been presented in the 14th SPE Middle East Oil & Gas Show and Conference held in Bahrain International Exhibition Centre, Bahrain, 12-15 March 2005.
For PhD study I was working under supervision of Professor Birol M. Demiral, head of Center of Excellence for EOR at UTP, (now at Network of Excellence in Training, NExT, Schlumberger). Our project was focusing on the application of Artificial Neural Networks and Abductive Networks to generate two universal models for estimating pressure drop at pipelines that accounts for all angles of inclination. The study also utilized models performance to compare them against the best empirical and mechanistic models. Recently I had two PhD students who worked in two smart water projects on different common EOR methods. The smart water is proven to be a very cheap EOR evolving technique. It involves varying the compositions of the water inside the reservoir (in situ- variation) where it results in wettability change towards the more favoring recovery conditions. In consequence, the IFT is gradually reduced and more residual oil can be freed. We are now quite sure what the mechanisms behind this wettability changes are. However, many theoretical aspects are behind this hypothesis. As known, each reservoir contains different and unique fluids. That what makes this prediction process quite difficult and tedious. We are trying at the end of the day to detect all inter-related parameters and come up with models for different fluid types, rock types under different wettability conditions.
