Publications

This paper documents a technique for identifying remaining or by-passed oil in carbonate reservoirs utilizing Log (porosity and permeability prediction) and Core (porosity and permeability measurement, SCAL “m”) data to identify secondary porosity from “m-value” where porosity and permeability have high heterogeneity. This procedure integrates porosity and permeability from core and m- value to identify Flow Units characterization. The result can be extrapolated to other wells that have no core analysis data. The deductive method uses permeability and porosity provided to fill training data value as log data partitioning. The logs data do not directly masure the reservoirs or formation, but they are derived from logs after calibration with core data. This method is ordered to achieve a high level of confidence analysis. This paper presents a case study of application of Flow Unit characterization method to increase oil production at PHE KE23 field and also demonstrate that the Flow Unit characterization can be extrapolated to other wells that have no core data. Various Flow Units can be used to detect bypassed oil zones and reservoir quality. Up to now, the result of Flow Unit characterization in PHE KE23 Field has been relatively in-line with core data measurements. A significant production increase was achieved after re-perforation based on this method. * PT. Pertamina Hulu Energi – West Madura Offshore