Simultaneous estimation of relative permeability and porosity/permeability fields by history matching production data

Canadian International Petroleum Conference 2007, CIPC 2007

Volumn , Issue , 2007, Pages

  Eydinov, D ^a   Gao, G ^b   Li, G ^c   Reynolds, A C ^c  

^a Scandpower Part of Lloyd's Register Group   (Norway)

^b CHEVRON ENERGY TECHNOLOGY COMPANY   (United States)

^c UNIVERSITY OF TULSA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CURVE FITTING; GASOLINE; INTERPOLATION; MAXIMUM LIKELIHOOD ESTIMATION; MECHANICAL PERMEABILITY; PETROLEUM RESERVOIRS; POROSITY;

AUTOMATIC HISTORY MATCHING; B-SPLINE REPRESENTATION; RANDOMIZED MAXIMUM LIKELIHOODS; RELATIVE PERMEABILITY CURVES; SENSITIVITY COEFFICIENT; SIMULTANEOUS ESTIMATION; TRANSFORMATION OF PARAMETERS; UNCERTAINTY QUANTIFICATIONS;

PETROLEUM RESERVOIR ENGINEERING;

EID: 85088200994     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.2118/2007-143     Document Type: Conference Paper

References (19)

1. ARCHER, J.S., WONG, S.W. Use of a reservoir simulator to interpret laboratory waterflood data; Soc. Petrol. Eng. J, 12(6), 343-347, 1973.
2. AZIZ, K., SETTARI, A. Petroleum Reservoir Simulation; Elsevier Applied Science Publishers, London, 1979.
3. de BOOR, C., A Practical Guide to Splines; Springer, New York, New York, 1978, 392 p.
4. CHEN, S., LI, G., PERES. A.M.M, REYNOLDS, A.C.: "A Well Test for In Situ Determination of Relative Permeability Curves, " SPE96414, 2005 SPE Annual Technical Conference and Exhibition (2005)
5. FLORIS, F. J. T., BUSH, M. D., CUYPERS, M., ROGGERO, F., SYVERSVEEN, A.R., Methods for quantifying the uncertainty of production forecasts: A comparative study, Petroleum Geoscience, 7(SUPP), 87-96, 2001.
6. GAO, G., Data integration and uncertainty evaluation for large scale automatic history matching problems; Ph.D. dissertation, University of Tulsa, Tulsa, Oklahoma, 2005.
7. GAO, G., REYNOLDS, A.C., An improved implementation of the LBFGS algorithm for automatic history matching; SPE Journal 11(1) 2006.
8. GOMEZ-HEMANDEZ, J. J., A. G. JOURNEL, Joint sequential simulation of multigaussian fields, Geostatistic Troia 92, (edited by A. Soares), pp. 133-144, 1992.
9. KITANIDIS, P. K., Quasi-linear geostatistical theory for inversing; Water Resour. Res., 31(10), 2411-2419, 1995.
10. LANE, J.M., REISENFELD, R.F., A geometric proof for the variation diminishing property of B-spline approximation; Journal of Approximation Theory, 37(1), 1-4, 1983.
11. LI, R., REYNOLDS, A.C., OLIVER, D.S., History matching of three-phase flow production data; SPE J., 8(4), 328-340, 2003.
12. NOCEDAL, J., Updating quasi-Newton matrices with limited storage; Math. Comp., 35(151), 773-782, 1980.
13. OLIVER, D.S., HE, N., REYNOLDS, A.C.; Conditioning permeability fields to pressure data; European Conference for the Mathematics of Oil Recovery, V, pp. 1-11, 1996.
14. REYNOLDS, A.C., HE, N., Oliver, D.S., Reducing uncertainty in geostatistical description with well testing pressure data; Reservoir Characterization-Recent Advances, (edited by R. A. Schatzinger and J. F. Jordan), pp. 149-162, American Association of Petroleum Geologists, 1999.
15. REYNOLDS, A.C., LI, R., Oliver, D.S., Simultaneous estimation of absolute and relative permeability by automatic history matching of threephase flow production data; J. Canadian Pet. Tech., 43(3), 37-46, 2004.
16. STONE, H. L., Estimation of three-phase relative permeability and residual oil data; J. Can. Pet. Tech., 12(4), 53-61, 1973.
17. TARANTOLA, A., Inverse Problem Theory: Methods for Data Fitting and Model Parameter Estimation; Elsevier, Amsterdam, The Netherlands, 1987.
18. YANG, P.-H., WATSON, A.T., A Bayesian methodology for estimating relative permeability curves; SPE Reservoir Engineering, 6(2), 259-265, 1991.
19. ZHANG, F., REYNOLDS, A.C. Optimization algorithms for automatic history matching of production data; Proceedings of 8th European Conference on the Mathematics of Oil Recovery, pp. 1-10, 2002.