Identification of Unknown Permeability Trends from History Matching of Production Data

Proceedings - SPE Annual Technical Conference and Exhibition

Volumn , Issue , 2002, Pages 1357-1366

  Grimstad, Alv Arne ^a   Mannseth, Trond ^a   Aanonsen, Sigurd Ivar ^b   Aavatsmark, Ivar ^b   Cominelli, Alberto ^c   Mantica, Stefano ^c  

^a RF Rogaland Research   (Norway)

^b STATOIL   (Norway)

^c AGIP SpA   (Italy)

Author keywords

[No Author keywords available]

Indexed keywords

ADAPTIVE MULTISCALE ESTIMATION (AME); ADVANCED GRIDDING; SIMULATOR GRID BLOCKS;

APPROXIMATION THEORY; COMPUTER SIMULATION; DATA REDUCTION; FLOW OF FLUIDS; OIL WELLS; PETROLEUM RESERVOIRS; POROSITY; PRESSURE MEASUREMENT; RISK MANAGEMENT; SEISMOLOGY; VECTORS; WELL PRESSURE;

MECHANICAL PERMEABILITY;

EID: 1142266717     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (12)

1. S. Yoon, A. H. Malallah, A. Datta-Gupta, D. W. Vasco, and R. A. Behrens. A multiscale approach to production data integration using streamline models. In 1999 SPE Annual Technical Conference and Exhibition. Society of Petroleum Engineers, October 1999. SPE 56653.
2. A.-A. Grimstad, T. Mannseth, G. Nævdal, and H. Urkedal. Adaptive multiscale permeability estimation. Accepted for publication in Computational Geosciences, 2002.
3. A.-A. Grimstad, T. Mannseth, J.-E. Nordtvedt, and G. Nævdal. Scale splitting can reduce cost and complexity of reservoir characterization. In Proc. 62nd EAGE Conference and Exhibition, Glasgow, 2000. (extended abstract).
4. A.-A. Grimstad, T. Mannseth, J.-E. Nordtvedt, and G. Nævdal. Reservoir characterization through scale splitting. In 7th European Conference on the Mathematics of Oil Recovery. European Association of Geoscientists & Engineers, September 2000.
5. A.-A. Grimstad, T. Mannseth, G. Nævdal, and H. Urkedal. Scale splitting approach to reservoir characterization. In Paper SPE66394 presented at the SPE Reservoir Simulation Symposium, Houston, Texas, February 2001.
6. H. Ben Ameur, G. Chavent, and J. Jaffré. Refinement and coarsening of parameterization for the estimation of hydraulic transmissivity. In Proc. 3rd International Conference on Inverse Problems in Engineering: Theory and Practice, Port Ludlow, WA, USA, June 1999.
7. J. J. Moré. The Levenberg-Marquardt algorithm: Implementation and theory. In G. A. Watson, editor, Numerical Analysis, Lecture Notes in Mathematics, vol. 630, pages 105-116. Springer Verlag, Berlin, 1977.
8. A. J. W. Duijndam. Bayesian estimation in seismic inversion. Part I: Principles. Geophysical Prospecting, 36:878-898, 1988.
9. A. Kirsch. An introduction to the theory of inverse problems, volume 120 of Applied mathematical sciences. Springer-Verlag, New York, 1996.
10. R. Bissell, O. Dubrule, P. Lamy, P. Swaby, and O. Lepine. Combining geostatistical modelling with gradient information for history matching: the pilot-point method. In Paper SPE38730 presented at the SPE Annual Technical Conference and Exhibition, San Antonio, Texas, 5-8 Oct. 1997.
11. A. Sen and M. Srivastava. Regression Analysis; Theory, Methods, and Applications. Springer-Verlag, 1990.
12. ECLIPSE office user guide. Schlumberger GeoQuest, Abingdon, U.K., 2001.