Conditioning stochastic reservoir models to well-test data

SPE Reservoir Evaluation and Engineering

Volumn 3, Issue 1, 2000, Pages 74-79

  He, Nanqun ^a   Oliver, Dean S ^b   Reynolds, Albert C ^b  

^a CHEVRON ENERGY TECHNOLOGY COMPANY   (United States)

^b NONE

Author keywords

[No Author keywords available]

Indexed keywords

HYDROCARBON RESERVOIR; PERMEABILITY; POROSITY; STOCHASTIC METHOD; WELL TESTING;

HYDROCARBON RESERVOIR; PERMEABILITY; POROSITY; RESERVOIR CHARACTERIZATION; STOCHASTICITY;

EID: 0034108299     PISSN: 10946470     EISSN: None     Source Type: Journal    
DOI: 10.2118/60687-pa     Document Type: Conference Paper

References (21)

1. Holden, L. et al: "Use of Well Test Data in Stochastic Reservoir Modeling," paper SPE 30591 presented at the 1995 SPE Annual Technical Conference and Exhibition, Dallas, 22-25 October.
2. Oliver, D.S.: "The Incorporation of Transient Pressure Data into Reservoir Characterization," In Situ (1994) 18, 243.
3. Chu, L., Komara, M., and Schatzinger, R.A.: "An Efficient Technique for Inversion of Reservoir Properties Using Iteration Method," paper SPE 36512 presented at the 1996 SPE Annual Technical Conference and Exhibition, Denver, Colorado, 6-9 October.
4. Landa, J.L. et al.: "Resevoir Characterization Constrained to Well-Test Data: A Field Example," paper SPE 36511 presented at the 1996 SPE Annual Technical Conference and Exhibition, Denver, Colorado, 6-9 October.
5. Oliver, D.S., Cunha, L.B., and Reynolds, A.C.: "Markov Chain Monte Carlo Methods for Conditioning a Permeability Field to Pressure Data," Math. Geol. (1997) 29, 61.
6. Oliver, D.S., He, N., and Reynolds, A.C.: "Conditioning Permeability Fields to Pressure Data," Eur. Conf. Math. Oil Recovery (September 1996).
7. Tjelmeland, H. Omre, H. and Hegstad, B.K.: "Sampling From Bayesian Models in Reservoir Characterization," Technical Report Statistics No. 2/1994, The University of Trondheim (1994).
8. Bonet-Cunha, L. et al.: "A Hybrid Markov Chain Monte Carlo Method for Generating Permeability Fields Conditioned to Multiwell Pressure Data and Prior Information," SPEJ (September 1998) 261.
9. Hegstad, B.K. and Omre, H.: "Uncertainty Assessment in History-Matching," 5th International Geostatistics Congress (1996).
10. Hegstad, B.K. et al.: "Stochastic Simulation and Conditioning by Annealing in Reservoir Description," in Geostatistical Simulation, M. Armstrong and P. A. Dowd, (eds.), Kluwer Academic, Dordrecht (1994) pp. 43-55.
11. Ripley, B.D.: Stochastic Simulation, John Wiley & Sons, New York City (1987).
12. Oliver, D.S.: "On Conditional Simulation to Inaccurate Data," Math. Geol. (1996) 28, 811.
13. Reynolds, A.C., He, N., and Oliver, D.S.: "Reducing Uncertainty in Geostatistical Description with Well-Testing Pressure Data," in Reservoir Characterization-Recent Advances (AAPG memoir: 71) R. Schatzinger and J. Jordan (eds.) AAPG, Tulsa, Oklahoma (1999) pp. 149-162.
14. Kitanidis, P.K.: "Quasilinear Geostatistical Theory for Inversing," Water Resour. Res. (1995) 31, 2411.
15. Wietzerbin, L.J. and Mallet, J.L.: "Parametrization of Complex 3D Heterogeneities: A New CAD Approach," SPECA (June 1994) 11.
16. Srivastava, R.M.: "Reservoir Characterization With Probability Field Simulation," SPE 24753 presented at the 1992 SPE Annual Technical Conference and Exhibition, Washington, DC, 4-7 October.
17. Durlofsky, L.J. et al.: "Scale Up of Heterogeneous Three-Dimensional Reservoir Descriptions," SPEJ (September 1996) 313.
18. Kitanidis, P.K. and Vomvorís, E.G.: "A Geostatistical Approach to the Inverse Problem in Groundwater Modeling (Steady State) and One-Dimensional Simulations," Water Resour. Res. (1983) 19, 677.
19. Kitanidis, P.K.: "Parameter Uncertainty in Estimation of Spatial Functions: Bayesian Analysis," Water Resour. Res. (1986) 22, 499.
20. Tarantola, A.: Inverse Problem Theory: Methods for Data Fitting and Model Parameter Estimation, Elsevier, Amsterdam, The Netherlands (1987).
21. Fletcher, R.: Practical Methods of Optimization, John Wiley & Sons, New York City (1987).