A novel methodology for carbonate reservoir characterization based on the empirical relationships between pore types and reservoir parameters has been developed. The method is integrated into a geological framework and therefore gives sedimentological/diagenetic control on reservoir quality distribution. The new methodology is applied to predict pore types, permeability, effective porosity, porosity cut-off, capillary pressures, saturations, HC contacts, FWL, HC volumes and more. For many of these parameters the expected and P10 to P90 values are predicted, along with the standard deviations. The method can be applied in both production and exploration scenarios and produces detailed input parameters to reservoir modeling. STOOIP/GIIP calculations and sensitivity testing can be carried out in short time based on measured and/or predicted input values at wire-line log resolution and without the need of any vertical up-scaling. The method was accepted by BeicipFran Lab. in a 2012 audit of a producing reservoir, and has been successfully applied to one Russian, four Iranian, four Iraqi and two UAE oil and gas fields. It has also been applied in the application for the 22nd and 23rd Norwegian license rounds and in project evaluation in the Norwegian Sea exploration.

Prediction tools involved in the new methodology have been compiled into a WEB-based program called CARP (CArbonate Reservoir Properties), which is accessible from the emnu item "Prediction Tools".