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AbstractIn a large clastic reservoir of Saudi Arabia, rock typing by rock-quality-index (RQI) and flow-zone-indicator (FZI) proved to be an effective technique to develop porositypermeability transforms for 8 lithologic facies in a reservoir model. Moreover, capillary pressure and relative permeability curves could be grouped into defined rock types as well. This technique provided an effective tool to distribute permeability, initial water saturation, relative permeability, and residual oil saturation per lithologic facie. This paper presents through a case study the methodology applied for generating permeability and water saturation distribution by lithologic facies and hydraulic units and its impact on simulation history match and future prediction.
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