Model predicts compositional grading of a reservoir in Iran

• Published in: The Oil & gas journal Vol. 103; no. 43; pp. 57 - 59
• Main Authors: JAMSHIDNEZHAD, Mohammad, FARAZMAND, Mohammad
• Format: Magazine Article
• Language: English
• Published: Tulsa, OK Pennwell 21.11.2005; Endeavor Business Media
• Subjects: Applied sciences; Crude oil, natural gas and petroleum products; Energy; Enhanced oil recovery; Equilibrium; Exact sciences and technology; Fractured reservoirs; Fuels; Laboratories; Mathematical models; Molecular weight; Oil fields; Predictions; Reservoirs; Simulation; Statistical analysis; Studies; Temperature; Iran; Asia
• ISSN: 0030-1388; 1944-9151

A study showed that an isothermal gravity-chemical equilibrium model can predict the compositional variation with depth for the Asmari carbonate reservoir in Marun field, Iran. The basis of the study was laboratory pressure-volume-temperature (PVT) reports on 15 appraisal wells. The study involved the calibration of the equation of state (EOS) for compositional simulation and established a means for predicting fluid properties for the entire area of the field. In the study, a three-parameter Peng-Robinson equation of state was used to match all laboratory PVT data from the Asmari reservoir. This step was followed by a regression technique with dynamic parameter selection for tuning the EOS. This study uses a balance of driving forces or flux equations to satisfy the condition of zero component net flux. In this reservoir, a temperature differences are small with respect to the absolute reservoir temperature, and one may expect that an equilibrium model will give an adequate fluid composition and properties description.