EoS Modeling for Two Major Kuwaiti Oil Reservoirs

Abstract

Abstract Two fluids with extensive routine PVT and miscible gas injection EOR data from two different major Kuwaiti oil fields are presented. Eight component EoS models were developed for the two fluids using the volume corrected Soave-Redlich-Kwong equation of state. A sensitivity study has been conducted on the routine PVT and EOR data for both fluids using multiple linear regressions. The critical temperatures and critical pressures were found to be the most sensitive parameters when modeling routine PVT data, while the EOR data was found to be more sensitive towards changes in acentric factors and binary interaction parameters. Both routine PVT and EOR data was matched very well with the developed EoS models. With an accurate match of the critical points in the Swelling Test experiments and the near-critical compositions in the Equilibrium Contact and Multiple Contact experiments, the MMPs of the two reservoir fluids were matched very well predictively without further parameter adjustments.