EoS Modeling for Two Major Kuwaiti Oil Reservoirs

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.

Minimum Miscibility Pressure Prediction Method Based On PSO-GBDT Model

“…The EOS method mainly uses phase simulation technique to investigate the influence of injected gas on the properties of crude oil. The parameters of EOS were tuned by fitting the PVT experimental data to establish a phase model that conforms to the real fluid, and MMP of the oil and gas system is calculated by simulating the multi-stage contact experiment process (Al-Ajmim et al 2011). The EOS method can establish a phase model that fits the flow state characteristics of oil and gas multiphase fluids, so it can accurately characterize the phase behavior of real reservoir fluids and estimate the physical parameters.…”