A Practical Method for Minimum-Miscibility-Pressure Estimation of Contaminated CO2 Mixtures
- Russell T. Johns (University of Texas) | Kaveh Ahmadi (University of Texas) | Zhou Dengen (Chevron North America) | Meisong Yan (Chevron North America)
- Document ID
- Society of Petroleum Engineers
- SPE Reservoir Evaluation & Engineering
- Publication Date
- October 2010
- Document Type
- Journal Paper
- 764 - 772
- 2010. Society of Petroleum Engineers
- 1.7 Pressure Management, 1.7.5 Well Control
- Minimum Miscibility Pressure, Mixing, CO2 injection, Mixing-cell, MMP
- 10 in the last 30 days
- 1,185 since 2007
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Minimum miscibility pressure (MMP) is a key parameter in the design of gasfloods. Injection-gas compositions often vary during the life of a gasflood owing to reinjection and mixing of fluids in situ. Understanding the impact of the gas compositional changes on the MMP is essential to optimal design of fieldwide pressure management and carbon dioxide (CO2) use. Determining the MMP by slimtube or other methods for each possible variation in the gas-mixture composition is impractical. This paper gives an easy and accurate way to determine impure CO2 MMPs for variable field solvent compositions on the basis of just a few MMPs. Alternatively, the approach could be used to estimate the enrichment level required to lower the MMP to a desired pressure.
The MMP-estimation method relies on determining the MMP for pure CO2 injection, and also for a few impure binary MMPs at small CO2-contaminant levels. The number of MMPs needed for the method is equal to the number of components in the injection gas. We use the method of characteristics (MOC) and our newly developed mixing-cell method to estimate the required MMPs, although any reliable MMP analytical or experimental method can be used. We demonstrate how to calculate MMPs for several multicomponent oils displaced by CO2 contaminated by mixtures of N2, CH4, C2, C3, and H2S. The results show that the predicted MMPs for a west Texas crude displaced by contaminated-CO2 injection streams are nearly linear over the range from pure-CO2 injection to any mole fraction combination of the five contaminants. The accuracy of the predicted MMPs is within ±15 psia of that from calculations using mixing-cell simulations, slimtube simulations, and slimtube experiments where available. For another example oil displacement by impure CO2, however, the linear trend in MMPs with contamination mole fractions is accurate only for total contamination levels less than approximately 20% mole fraction, but this is still within a useful range for CO2-gasflood design and optimization. We also examine the sensitivity of local displacement efficiency to dispersion for binary gas mixtures using 1D simulation.
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Ahmadi, K. and Johns, R.T. 2008. Multiple Mixing-Cell Method for MMPCalculations. Paper SPE 116823 presented at the SPE Annual TechnicalConference and Exhibition, Denver, 21-24 September. doi: 10.2118/116823-MS.
Ahmadi, K., Johns, R.T., Mogensen, K., and Noman, R. 2010. Limitations of Current MOC (Methodof Characteristic) Methods to Predict MMPs for Complex Gas/OilDisplacements. Paper SPE 129709 presented at the SPE Improved Oil RecoverySymposium, Tulsa, 24-28 April. doi: 10.2118/129709-MS.
Creek, J.L. and Sheffield, J.M. 1993. Phase Behavior, Fluid Properties, andDisplacement Characteristics of Permian Basin Reservoir Fluid/CO2 Systems.SPE Res Eng 8 (1): 34-42. SPE-20188-PA. doi:10.2118/20188-PA.
Dindoruk, B., Orr, F.M. Jr., and Johns, R.T. 1997. Theory of Multicontact MiscibleDisplacements with Nitrogen. SPE J. 2 (3): 268-279.SPE-30771-PA. doi: 10.2118/30771-PA.
Egwuenu, A.M., Johns, R.T., and Li, Y. 2008. Improved Fluid Characterization forMiscible Gas Floods. SPE Res Eval & Eng 11 (4):655-665. SPE-94034-PA. doi: 10.2118/94034-MS.
Fong, W.S., Sheffield, R.E., and Emanuel, A.S. 1992. Phase Modeling Techniques forLow-Temperature CO2 Applied to McElroy and North Ward Estes Projects. PaperSPE 24184 presented at the SPE/DOE Enhanced Oil Recovery Symposium, Tulsa,22-24 April. doi: 10.2118/24184-MS.
Garmeh, G. and Johns, R.T. 2009. Upscaling of Miscible Floods inHeterogeneous Reservoirs Considering Reservoir Mixing. Paper SPE 124000presented at the SPE Annual Technical Conference and Exhibition, New Orleans,4-7 October. doi: 10.2118/124000-MS.
Jessen, K. and Orr, F.M. Jr. 2008. On Interfacial-Tension MeasurementsTo Estimate Minimum Miscibility Pressures. SPE Res Eval & Eng 11 (5): 933-939. SPE-110725-PA. doi: 10.2118/110725-PA.
Johns, R.T., Dindoruk, B., and Orr, F.M. Jr. 1993. Analytical Theory of CombinedCondensing/Vaporizing Gas Drives. SPE Advanced Technology Series 1 (2): 7-16. SPE-24112-PA. doi: 10.2118/24112-PA.
Jutila, H.A., Logmo-Ngog, A.B., Sarkar, R., Killough, J.E., and Ross, F.C.2001. Use of ParallelCompositional Simulation to Investigate Productivity Improvement Options for aRetrograde-Gas-Condensate Field: A Case Study. Paper SPE 66397 presented atthe SPE Reservoir Simulation Symposium, Houston, 11-14 February. doi:10.2118/66397-MS.
Khan, S.A., Pope, G.A., and Sepehrnoori, K. 1992. Fluid Characterization of Three-PhaseCO2/Oil Mixtures. Paper SPE 24130 presented at the SPE/DOE Enhanced OilRecovery Symposium, Tulsa, 22-24 April. doi: 10.2118/24130-MS.
Lake, L.W. 1989. Enhanced Oil Recovery. Englewood Cliffs, New Jersey,USA: Prentice Hall.
Lantz, R.B. 1971. QuantitativeEvaluation of Numerical Diffusion (Truncation Error). SPE J. 11 (3): 315-320; Trans., AIME, 251. SPE-2811-PA.doi: 10.2118/2811-PA.
Li, Y. and Johns, R.T. 2007. ARapid and Robust Method to Replace Rachford-Rice in Flash Calculations.Paper SPE 106080 presented at the SPE Reservoir Simulation Symposium, Houston,26-28 February. doi: 10.2118/106080-MS.
Okuno, R, Johns, R.T., and Sepehrnoori, K. 2010. Mechanisms for High DisplacementEfficiency of Low-Temperature CO2 Floods. Paper SPE 129846 presented at theSPE Improved Oil Recovery Symposium, Tulsa, 24-28 April. doi:10.2118/129846-MS.
Pedersen, K.S. and Christensen, P.L. 2006. Phase Behavior of PetroleumReservoir Fluids. Boca Raton, Florida, USA: CRC Press.
Peng, D.Y. and Robinson, D.B. 1976. A New Two-Constant Equation ofState. Ind. Eng. Chem. Fundamentals 15 (1): 59-64. doi:10.1021/i160057a011.
Sandler, S.I. 1999. Chemical and Engineering Thermodynamics, thirdedition. Hoboken, New Jersey, USA: John Wiley & Sons.
Solano, R., Johns, R.T., and Lake, L.W. 2001. Impact of Reservoir Mixing onRecovery in Enriched-Gas Drives Above the Minimum Miscibility Enrichment.SPE Res Eval & Eng 4 (5): 358-365. SPE-73829-PA. doi:10.2118/73829-PA.
Stalkup, F.I. 1987. Displacement Behavior of theCondensing/Vaporizing Gas Drive Process. Paper SPE 16715 presented at SPEAnnual Technical Conference and Exhibition, Dallas, 27-30 September. doi:10.2118/16715-MS.
Stalkup, F.I. Jr. 1983. Miscible Displacement. Henry L. DohertyMonograph Series, SPE, Richardson, Texas, USA 8.
UT PVT Manual v. 1.9. 2008. Gas Injection Industrial Affiliates Program, TheUniversity of Texas at Austin, Austin, Texas, USA.
Winzinger, R., Brink, J.L., Patel, K.S., Davenport, C.B., Patel, Y.R., andThakur, G.C. 1991. Design of aMajor CO2 Flood, North Ward Estes Field, Ward County, Texas. SPE ResEval & Eng 6 (1): 11-16. SPE-19654-PA. doi:10.2118/19654-PA.
Yuan, H. and Johns, R.T. 2005. Simplified Method for Calculation ofMinimum Miscibility Pressure or Enrichment. SPE J. 10(4): 416-425. SPE-77381-PA. doi: 10.2118/77381-PA.
Yuan, H., Johns, R.T., Egwuenu, A.M., and Dindoruk, B. 2005. Improved MMP Correlation for CO2Floods Using Analytical Gas Flooding Theory. SPE Res Eval & Eng 8 (5): 418-425. SPE-89359-PA. doi: 10.2118/89359-PA. See alsoErrata, SPE Res Eval & Eng 9 (4).
Zick, A.A. 1986. A CombinedCondensing/Vaporizing Mechanism in the Displacement of Oil by EnrichedGases. Paper SPE 15493 presented at the Annual Technical Conference andExhibition, New Orleans, 5-8 October. doi: 10.2118/15493-MS.