Capillary pressure is a critical property for reservoir modeling. Reservoir engineers use capillary pressure to compute the original hydrocarbon in place and to estimate the ultimate recovery using fluid flow simulation. Traditionally, capillary pressure data are obtained from special core analysis (SCAL). SCAL is a time consuming and expensive procedure. As a result only a few measurements of capillary pressure can be done. In this paper, we developed a novel methodology, based on Thomeer formalism and optimization techniques, for capillary pressure estimation using “standard” log data. With this methodology, capillary pressure will cover a larger volume of the reservoir than the volume covered by the SCAL.


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