Ebrahim Sefidari
Department of Geology, University College of Sciences, University of Tehran, Tehran, Iran
[ 1 ] - Prediction of pore facies using GMDH-type neural networks: a case study from the South Pars gas field, Persian Gulf basin
The current study proposes a two-step approach for pore facies characterization in the carbonate reservoirs with an example from the Kangan and Dalanformations in the South Pars gas field. In the first step, pore facies were determined based on Mercury Injection Capillary Pressure (MICP) data incorporation with the Hierarchical Clustering Analysis (HCA) method. In the next step, polynomial meta...
نویسندگان همکار