CAPILLARY PRESSURE ANALYSIS FOR PETROPHYSICAL STATISTICAL MODELING

摘要

A multiple curve capillary pressure data set derived from a core sample is discriminated into groups of similar curves representing similar pore structure groups. Primary reservoir development controlling factors (RDCFs) are identified for each pore structure group and a set of capillary pressure type curves are created for each pore structure group to statistically characterize saturation-pressure response. Data is processed from a core sample log to derive identified RDCFs from the log data. A preliminary reservoir development designation log is derived by applying cutoffs to the log-based RDCFs and a preliminary saturation distribution equivalent to the preliminary reservoir development designation log is obtained by applying the capillary pressure type curves. A capillary pressure type uncertainty envelope is compared with saturation measurements from the log. The modelled saturation from the average capillary pressure type curve is recalculated to generate an optimized reservoir development designation.