Estimation of parameters for the simulation of foam flow through porous media: Part 3; non-uniqueness, numerical artifact and sensitivity

Society of Petroleum Engineers - SPE Enhanced Oil Recovery Conference, EORC 2013: Delivering the Promise NOW!

Volumn , Issue , 2013, Pages 505-524

  Ma, Kun ^a   Farajzadeh, Rouhi ^b   Lopez Salinas, Jose L ^a   Miller, Clarence A ^a   Biswal, Sibani Lisa ^a   Hirasaki, George J ^a  

^a RICE UNIVERSITY   (United States)

^b DELFT UNIVERSITY OF TECHNOLOGY   (Netherlands)

Author keywords

[No Author keywords available]

Indexed keywords

ENHANCED RECOVERY; GAS PERMEABILITY; NUMERICAL METHODS; POROUS MATERIALS; SENSITIVITY ANALYSIS; VISCOSITY;

ESTIMATION OF PARAMETERS; FINITE-DIFFERENCE ALGORITHMS; GAS RELATIVE PERMEABILITIES; METHOD OF CHARACTERISTICS; PRESSURE OSCILLATION; RELATIVE PERMEABILITY; SURFACTANT SOLUTION; TRANSIENT EXPERIMENTS;

PARAMETER ESTIMATION;

EID: 84889814005     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.2118/165263-ms     Document Type: Conference Paper

References (18)

1. Alvarez, J. M., H. J. Rivas, et al. (2001). "Unified model for steady-state foam behavior at high and low foam qualities." SPE Journal 6(3): 325-333.
2. Ashoori, E. and W. R. Rossen (2012). "Can Formation Relative Permeabilities Rule Out a Foam EOR Process?" SPE Journal 17(2): 340-351.
3. Aster, R. C., C. H. Thurber, et al. (2005). Parameter estimation and inverse problems. Amsterdam; Boston, Elsevier Academic Press.
4. Avriel, M. (1976). Nonlinear programming : analysis and methods. Englewood Cliffs, Prentice-Hall.
5. Bazaraa, M. S., H. D. Sherali, et al. (2006). Nonlinear programming : theory and algorithms. New York, NY; Chichester, Wiley.
6. Bruges, E. A., B. Latto, et al. (1966). "New correlations and tables of coefficient of viscosity of water and steam up to 1000 bar and 1000 degrees C." International Journal of Heat and Mass Transfer 9(5): 465-480.
7. Cheng, L., A. B. Reme, et al. (2000). Simulating foam processes at high and low foam qualities. SPE/DOE Improved Oil Recovery Symposium. Tulsa, Oklahoma.
8. Computer Modeling Group (2007). "STARS™ user's guide." Calgary, Alberta, Canada.
9. Farajzadeh, R., A. Andrianov, et al. (2012). "Foam-oil interaction in porous media: Implications for foam assisted enhanced oil recovery." Advances in Colloid and Interface Science 183: 1-13.
10. Farajzadeh, R., B. M. Wassing, et al. (2012). "Foam assisted gas-oil gravity drainage in naturally-fractured reservoirs." Journal of Petroleum Science and Engineering 94-95: 112-122.
11. Fletcher, R. (1987). Practical methods of optimization. Chichester; New York, Wiley.
12. Kam, S. I., Q. P. Nguyen, et al. (2007). "Dynamic simulations with an improved model for foam generation." SPE Journal 12(1): 35-48.
13. Khatib, Z. I., G. J. Hirasaki, et al. (1988). "Effects of capillary pressure on coalescence and phase mobilities in foams flowing through porous media." SPE Reservoir Engineering 3(3): 919-926.
14. Lemmon, E. W. and R. T. Jacobsen (2004). "Viscosity and thermal conductivity equations for nitrogen, oxygen, argon, and air." International Journal of Thermophysics 25(1): 21-69.
15. Lopez-Salinas, J. L., K. Ma, et al. "Estimation of parameters for the simulation of foam flow through porous media: Part 2; effects of surfactant concentration and fluid velocity." In preparation.
16. Ma, K., J. L. Lopez-Salinas, et al. "Estimation of parameters for the simulation of foam flow through porous media: Part 1; the dry-out effect." Energy & Fuels: Submitted.
17. The MathWorks Inc (2012). "MATLAB User's Guide." Natick, MA, USA.
18. Zanganeh, M. N., J. F. B. M. Kraaijevanger, et al. (2012). Adjoint-Based Optimization of a Foam EOR Process. 13th European Conference on the Mathematics of Oil Recovery. Biarritz, France.