Quantitative prediction model for the water-oil relative permeability curve and its application in reservoir numerical simulation. Part 2: Application

Energy and Fuels

Volumn 25, Issue 10, 2011, Pages 4414-4422

  Luo, Fuquan ^a,b   Hou, Jian ^a   Li, Zhenquan ^c   Bing, Shaoxian ^c   Wang, Shutao ^a  

^a CHINA UNIVERSITY OF PETROLEUM   (China)

^b PetroChina Jidong Oilfield Company   (China)

^c SINOPEC   (China)

Author keywords

[No Author keywords available]

Indexed keywords

DEVELOPMENT PERFORMANCE; GEOLOGICAL MODELS; GRID CELLS; GRIDDING; INJECTION WELLS; LOW PERMEABILITY; NUMERICAL SIMULATORS; OIL PHASE; OIL SATURATION; ON FLOW; PRODUCTION WELLS; QUANTITATIVE PREDICTION; RELATIVE PERMEABILITY; REMAINING OIL; RESERVOIR NUMERICAL SIMULATION; SIMULATION GRID; WATER PHASE;

COMPUTER SIMULATION; GEOLOGIC MODELS; INJECTION (OIL WELLS); MATHEMATICAL MODELS;

PETROLEUM RESERVOIR ENGINEERING;

EID: 80054886329     PISSN: 08870624     EISSN: 15205029     Source Type: Journal    
DOI: 10.1021/ef200804n     Document Type: Article

References (12)

1. Behzadi, H.; Alvarado, V. Impact of three-phase relative permeability model on recovery in mixed media: Miscibility, IFT, and hysteresis issues Energy Fuels 2010, 24 (10) 5765-5772
2. Ayatollahi, S. H.; Lashanizadegan, A.; Kazemi, H. Temperature effects on the oil relative permeability during tertiary gas oil gravity drainage (GOGD) Energy Fuels 2005, 19 (3) 977-983 (Pubitemid 40843389)
3. Sola, B. S.; Rashidi, F. Experimental study of hot water injection into low-permeability carbonate rocks Energy Fuels 2008, 22 (4) 2353-2361
4. Arhuoma, M.; Yang, D. Y.; Dong, M. Z.; Li, H.; Idem, R. Numerical simulation of displacement mechanisms for enhancing heavy oil recovery during alkaline flooding Energy Fuels 2009, 23 (12) 5995-6002
5. Shen, P. P.; Zhu, B.; Li, X. B.; Wu, Y. S. An experimental study of the influence of interfacial tension on water-oil two-phase relative permeability Transp. Porous Media 2010, 85 (2) 505-520
6. Pan, J. L. Processing methods for relative-permeability curves used in reservoir numerical simulation Pet. Geophys. 2007, 5 (4) 17-19
7. Okano, H.; Pickup, G. E.; Christie, M. A.; Subbey, S.; Sambridge, M.; Monfared, H. Quantification of uncertainty in relative permeability for coarse-scale reservoir simulation. Proceedings of the Society of Petroleum Engineers (SPE) Europec/European Association of Geoscientists and Engineers (EAGE) Annual Conference; Madrid, Spain, June 13-16, 2005; SPE Paper 94140.
8. Carlson, M. R. Practical Reservoir Simulation: Using, Assessing, and Developing Results; PennWell Corporation Press: Tulsa, OK, 2003.
9. Chen, Z. X. Reservoir Simulation: Mathematical Techniques in Oil Recovery; Society of Industrial and Applied Mathematics Press: Philadelphia, PA, 2007.
10. Tjølsen, C. B.; Scheie, Å.; Damsleth, E. A study of the correlation between relative permeability, air permeability and depositional environment on the core-plug scale. In Advances in Core Evaluation II, Reservoir Appraisal; Worthington, P. F.; Longeron, D., Eds.; Gordon and Breach Press: London, U.K., 1991; pp 169-183.
11. Tjølsen, C. B.; Damsleth, E. A model for the simultaneous generation of core-controlled stochastic absolute and relative permeability fields. Proceedings of the Society of Petroleum Engineers (SPE) Annual Technical Conference and Exhibition; Dallas, TX, Oct 6-9, 1991; SPE Paper 22691.
12. Tjølsen, C. B.; Damsleth, E.; Bu, T. Stochastic relative permeabilities usually have neglectable effect. Proceedings of the Society of Petroleum Engineers (SPE) Annual Technical Conference and Exhibition; Houston, TX, Oct 3-6, 1993; SPE Paper 26473.