Evaluation of reservoir characterization in the framework of electro-facies: a case study from the Bangestan reservoir in the Mansuri oilfield, SW Iran

Abstract

Bangestan reservoir includes Sarvak and Ilam formations in the Mansouri oilfield consists mainly of carbonate rocks. In this research, we tried to overcome the problems in reservoir studies using well-logs data which are available in almost all wells in the oilfield. For this purpose, well-logs data from wells A and C were used as input data for the construction of electro-facies modeling. In the following, a model with 5 electro-facies was created and then this model was calibrated by microfacies in well A and core data such as porosity and permeability in the both wells in related to Sarvak Formation (wells A and C). The results of calibration reveal a good correlation between core data and electro-facies, so this model was propagated to un-cored wells in oilfield. The results of the study showed that reservoir quality from electro-facies 1 to 5 increases, respectively and pay zones of 2 in Ilam, 4 and 6 in Sarvak formations have the best reservoir quality. In order to future study, the velocity deviation log (VDL) that is mainly dependent on the type of dominant porosity in reservoir, was investigated to the specified electro-facies. Therefore, this log can be used as a tool for establishment of connection between porosity types and petrophysical data such as electro-facies.