Structural uncertainty modelling and updating by production data integration

Society of Petroleum Engineers - SPE/EAGE Reservoir Characterization and Simulation Conference 2009 - Overcoming Modeling Challenges to Optimize Recovery

Volumn 1, Issue , 2009, Pages 397-415

  Seiler, A ^a   Rivenaes J C ^a   Aanonsen, S I ^a   Evensen, G ^a  

^a STATOIL   (Norway)

Author keywords

[No Author keywords available]

Indexed keywords

ASSISTED HISTORY MATCHING; CONTINUOUS UPDATING; GRID ARCHITECTURES; INTEGRATED RESERVOIR CHARACTERIZATION; KAIMAN FILTER; PRODUCTION DATA; PRODUCTION DATA INTEGRATION; RESERVOIR ARCHITECTURE; RESERVOIR MODELS; SEISMIC INTERPRETATION; SIMULATION GRID; STATE VECTOR; STRUCTURAL MODELS; STRUCTURAL UNCERTAINTY;

DATA HANDLING; MODEL STRUCTURES; OPTIMIZATION; PETROLEUM RESERVOIR EVALUATION; SEISMOLOGY; SPACECRAFT;

PETROLEUM RESERVOIRS;

EID: 77952148733     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (29)

1. Aanonsen, S. I., Naevdal, G., Oliver, D. S., Reynolds, A., and Valles, B. 2009. Ensemble Kaiman Filter in Reservoir Engineering - a Review. SPE J., In press.
2. Abrahamsen, P. 1993. Bayesian kriging for seismic depth conversion of a multi-layer reservoir. Geostatistics Tria 92, pp. 385-398.
3. Agbalaka, C. C. and Oliver, D. S. 2008. Application of the EnKF and Localization to Automatic History Matching of Facies Distribution and Production Data. Mathematical Geosciences 40: 353-374. DOI: 10.1007/s11004-008-9155-7.
4. Caumon, G., Tertois, A., and Zhang, L. 2007. Elements for Stochastic Structural Perturbation of Stratigraphic Models. Proc., EAGE Petroleum Geostatistics, Cascais, A02.
5. Chen, Y., Oliver, D. S., and Zhang, D. 2009. Data assimilation for nonlinear problems by ensemble Kaiman filter with reparameterization. J. Petroleum Sci. and Eng. 66: 1-14. DOI: 10.1016/j.petrol.2008.12.002.
6. Evensen, G. 1994. Sequential data assimilation with a nonlinear quasi-geostrophic model using Monte Carlo methods to forecast error statistics. J. Geophys. Res. 99: 10,143-10,162. (Pubitemid 24404213)
7. Evensen, G. 2003. The ensemble Kalman filter: Theoretical formulation and practical implementation. Ocean Dynamics 53: 343-367.
8. Evensen, G. 2007. Data Assimilation: The Ensemble Kaiman Filter. Berlin: Springer-Verlag.
9. Evensen, G. 2009. The ensemble kalman filter for combined state and parameter estimation. IEEE Control Systems Magazine 29(3): 83-104.
10. Evensen, G. and van Leeuwen, P. J. 2000. An ensemble Kalman smoother for nonlinear dynamics. Mon. Weather Rev., 128: 1852-1867. (Pubitemid 30464421)
11. Gu, Y. and Oliver, D. S. 2007. An Iterative Ensemble Kalman Filter for Multiphase Fluid Flow Data Assimilation, SPE J. 12(4): 438-446. SPE-108438-PA. DOI: 10.2118/108438-PA.
12. Holden, L., Mostad, P., Nielsen, B. F., Gjerde, J., Townsend,C., and Ottesen, S. 2003. Stochastic Structural Modeling. Mathematical Geology 35(8): 899-914. DOI: 10.1023/B:MATG.0000011584.51162.69.
13. Jafarpour, B. and McLaughlin,D. B. 2009. Estimating Channelized-Reservoir Permeabilities With the Ensemble Kalman Filter: The Importance of Ensemble Design. SPE J. 14(2): 374-388. SPE-108941-PA. DOI: 10.21188/108941-PA.
14. Li, G. and Reynolds, A. 2007. An iterative ensemble kalman filter for data assimilation. Paper SPE 109808 presented at the SPE Annual Technical Conference and Exhibition, Anaheim, California, 11-14 November. DOI: 10.21188/109808-MS. (Pubitemid 351340186)
15. Palatnik, B. M., Aanonsen, S. I., Zakirov, I. S., and Zakirov, E. S. 1994. New technique to improve efficiency of history matching of full-field models. Proc., ECMOR IV Røros.
16. Reynolds, A., Zafari, M., and Li, G. 2006. Iterative forms of the ensemble Kalman filter. Proc, ECMOR X 10th European Conference on the Mathematics of Oil Recovery, Amsterdam.
17. Rivenæs, J., Otterlei, C., Zachariassen, E., Dart, C., and Sjøholm, J. 2005. A 3D stochastic model integrating depth, fault and property uncertainty for planning robust wells, Njord Field, offshore Norway. Petroleum Geoscience 11(1): 57-65. DOI: 10.1144/1354-079303-6122. (Pubitemid 40355310)
18. Schaaf, T., Coureaud, B., and Labaune, F. 2009. Joint structural and petrophysical history matching leads to global geological stochastic reservoir models. Paper SPE 121899 presented at the SPE EUROPEC/EAGE Annual Conference and Exhibition, Amsterdam, The Netherlands, 8-11 June. DOI: 10.2118/121899-MS.
19. Seiler, A., Evensen, G., Skjervheim, J.-A., Hove, J., and Vabø, J. 2009. Advanced Reservoir Management Workflow Using an EnKF Based Assisted History Matching Method. Paper SPE 118906 presented at the SPE Reservoir Simulation Symposium, the Woodlands, Texas, 2-4 February. DOI: 10.21188/118906-MS.
20. Skjervheim, J.-A., Evensen, G., Aanonsen, S. I., Ruud, B. O., and Johansen, T. A. 2007. Incorporating 4D seismic data in reservoir simulation models using ensemble Kalman filter. SPE J. 12(3): 282-292. SPE-95789-PA. DOI: 10.21188/95789-PA. (Pubitemid 47629517)
21. Suzuki, S. and Caers,J. 2006. History Matching With Uncertain Geological Scenario. Paper SPE 102154 presented at the SPE Annual Technical Conference and Exhibition, San Antonio, Texas, 24-27 September. SPE 102154-MS.
22. Suzuki, S., Caumon, G., and Caers, J. 2008. Dynamic data integration for structural modeling: model screening approach using a distance-based model parameterization. Computational Geosciences 12: 105-119. DOI: 10.1007/s10596-007-9063-9.
23. Thore, P. and Shtuka, A. 2008. Integration of Structural Uncertainties into Reservoir Grid Construction. Proc., EAGE Conference and Exhibition, Rome, 1022.
24. Thore, P., Shtuka, A., Lecour, M., Ait-Ettajer, T., and Cognot, R. 2002. Structural uncertainties: Determination, management, and applications. GEOPHYSICS 67(3): 840-852. DOI: 10.1190/1.14845282.
25. Wang, Y., Li, G., and Reynolds, A. 2009. Estimation of Depths of Fluid Contacts by History Matching using Iterative Ensemble Kalman Smoothers. Paper SPE 119056 presented at the SPE Reservoir Simulation Symposium, the Woodlands, Texas, 2-4 February. DOI: 10.21188/119056-MS.
26. Wen, X.-H. and Chen, W. H. 2006. Real-Time Reservoir Model Updating Using Ensemble Kalman Filter With Confirming Option. SPE J. 11(4): 431-442. SPE-92991-PA. DOI: 10.21188/92991-PA.
27. Wen, X.-H. and Chen, W. H. 2007. Some Practical Issues on Real-Time Reservoir Model Updating Using Ensemble Kalman Filter. SPE J. 12(2): 156-166. SPE-111571-PA. DOI: 10.21188/111571-PA.
28. Zhang, Y., and Oliver, D. S. 2009. History Matching Using a Hierarchical Stochastic Model With the Ensemble Kalman Filter: A Field Case Study. Paper SPE 118879 presented at the SPE Reservoir Simulation Symposium, the Woodlands, Texas, 2-4 February. DOI: 10.21188/118879-MS.
29. Zhao, Y., Reynolds, A., and Li, G. 2008. Generating Facies Maps by Assimilating Production Data and Seismic Data With the Ensemble Kalman Filter. Paper SPE 113990 presented at the SPE/DOE Improved Oil Recovery Symposium, Tulsa, Oklahoma. DOI: 10.21188/113990-MS.