DISCREPANCY OF MCMP DERIVED FROM EXPERIMENTS AND PREDICTION MODELS OF SOME INDONESIAN OIL FIELDS

Sugihardjo Sugihardjo

Abstract


Most of oil fi elds in Indonesian have been categorized as mature fi elds, since the primary stages of the
oil production nearly fi nished. Therefore EOR technology is the only option to rejuvenate those old oil fi elds
to increase the oil recovery. CO2 miscible fl ooding, one of the proven EOR technology, can be implemented
in some Indonesia oil fi elds if they fulfi ll the screening criteria for CO2 injection. Laboratory works initially
should be carried out to determine some parameters for calibrating the reservoir simulation program. The
most important parameter is MCMP (multiple contact miscibility pressure), this pressure level can be used
to determine the displacement effi ciency of the CO2 injection. Above the MCMP will be more effi cient
compare to below MCMP injection pressure. MCMP is normally can be obtained in the lab by a Slim tube
apparatus. In case there are no oil and gas sample available, some correlations based on the empirical
fi eld data are also available in the literature as well as EOS (equation of state) for predicting MCMP. Some
reservoir fl uids MCMP have been evaluated using those three methods. Then, discrepancies were calculated

to compare the results of Slim tube tests, correlations and EOS calculation. Four correlations such as NPC
(National Petroleum Council), Cronquist et al, Yellig-Metcalfe, Holm-Yosendal and one EOS modeling of
Peng-Robinson (1978) have been proposed to predict the MCMP fourteen reservoirs. Moreover, those MCMP
were also run using Slim tube. Holm-Yosendal correlation has nine reservoirs and secondly Yellig-Metcalfe
method possesses six reservoirs with discrepancy below 10% compare to MCMP obtained from Slim Tube
tests. While the other methods are not appropriate as well as Peng-Robinson EOS modeling without any
laboratory data for calibration.


Keywords


CO2 Injection, MMCP (Multiple Contac Miscibility Pressure), EOS (Equation of State)

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DOI: https://doi.org/10.29017/SCOG.37.2.627

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