Improving reservoir characterization and simulation with near-wellbore modeling

SPE Reservoir Evaluation and Engineering

Volumn 16, Issue 2, 2013, Pages 183-193

  Chandra, V ^a   Corbett, P W M ^a   Geiger, S ^a   Hamdi, H ^b  

^a HERIOT WATT UNIVERSITY   (United Kingdom)

^b UNIVERSITY OF CALGARY   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

OIL FIELD EQUIPMENT; SOFTWARE TESTING; WELL LOGGING;

EXPLORATION AND DEVELOPMENT; FIELD-SCALE SIMULATION; HETEROGENEOUS RESERVOIRS; LOCAL GRID REFINEMENT; NEAR-WELLBORE MODELING; NEAR-WELLBORE REGION; RESERVOIR CHARACTERIZATION; RESERVOIR SIMULATION;

BOREHOLES;

ACCURACY ASSESSMENT; CALIBRATION; CORE LOGGING; DATA ACQUISITION; FLOW MODELING; RESOLUTION; SIMULATION; SOFTWARE; VARIANCE ANALYSIS; WELL TECHNOLOGY;

EID: 84879758734     PISSN: 10946470     EISSN: None     Source Type: Journal    
DOI: 10.2118/148104-PA     Document Type: Conference Paper

References (20)

1. Archer, R. A. and Yildiz, T. T. 2001. Transient Well Index for Numerical Well Test Analysis. Paper SPE 71572 presented at the SPE Annual Technical Conference and Exhibition, New Orleans, Louisiana, 30 September-3 October. http://dx, doi.org/10.2118/71572-MS.
2. Brandsater, I., Wist, H. T., Nass, A. et al. 2001. Ranking of Stochastic Realizations of Complex Tidal Reservoirs Using Streamline Simulation Criteria. Pet. Geosci. 7(5):553-563. http://dx.doi.org/10.1144/petgeo.7.5.553.
3. Corbett, P. W. M. 2009. Petroleum Geoengineering: Integration of Static and Dynamic Models (SEG/EAGE Distinguished Instructor Series, 12, SEG) 100 pp. ISBN 978-1-56080-153-5.
4. Corbett, P. W. M., Geiger, S., Borges, L. et al. 2012. The Third Porosity System: Understanding the Role of Hidden Pore Systems in Well-Test Interpretation in Carbonates. Pet. Geosci. 18(1):73-81. http://dx.doi.org/10. 1144/1354-079311-010.
5. Corbett, P. W. M., Mesmari, A., and Stewart, G. 1996. A Method for Using the Naturally-Occurring Negative Geoskin in the Description of Fluvial Reservoirs. Paper SPE 36882 presented at the European Petroleum Conference, Milan, Italy, 22-24 October. http://dx.doi.org/10.2118/36882-MS.
6. Corre, B., Thore, P., De Feraudy, V. et al. 2000. Integrated Uncertainty Assessment for Project Evaluation and Risk Analysis. Paper SPE 65205 presented at the SPE European Petroleum Conference, Paris, France, 24-25 October. http://dx.doi.org/10.2118/65205-MS.
7. Deutsch, C. V. 2002. Geostatistical Reservoir Modeling. New York: Oxford University Press.
8. Deutsch, C. V. and Journel, A. G. 1997. GSLIB. Geostatistical Software Library and User's Guide. New York: Oxford University Press.
9. Elfenbein, C., Ringrose, P., and Christie, M. 2005. Small-Scale Reservoir Modeling Tool Optimizes Recovery Offshore Norway. World Oil 226(10):45-50.
10. Ewing, R. E. and Lazarov, R. D. 1988. Adaptive Local Grid Refinement. Paper SPE 17806 presented at the SPE Rocky Mountain Regional Meeting, Casper, Wyoming, 11-13 May. http://dx.doi.org/10.2118/17806-MS.
11. Hamdi, H. 2012. Illumination of Channelised Fluvial Reservoirs Using Geological Well-Testing and Seismic Modelling. Unpublished PhD thesis, Heriot-Watt University, UK.
12. McKinley, J. M., Lloyd, C. D., Ruffell, A. H. 2004. Use of Variography in Permeability Characterization of Visually Homogeneous Sandstone Reservoirs with Examples From Outcrop Studies. Math. Geol. 36(7):761-779.
13. Newell, A. J. 2006. Calcrete as a Source of Heterogeneity in Triassic Fluvial Sandstone Aquifers (Otter Sandstone Formation, SW England). In Fluid Flow and Solute Movement in Sandstones: The Onshore UK Permo-Triassic Red Bed Sequence, ed. R. D. Barker and J. H. Tellam, Special Publications, Vol. 263(1), 119-127. London: Geological Society.
14. Nordahl, K. 2004. A Petrophysical Evaluation of Tidal Heterolithic Deposits: Application of a Near Wellbore Model for Reconciliation of Scale Dependent Well Data. PhD thesis, Norwegian University of Science and Technology, Trondheim, Norway (April 2004).
15. Nordahl, K., Ringrose, P. S., and Wen, R. 2005. Petrophysical Characterization of a Heterolithic Tidal Reservoir Interval Using a Process-Based Modeling Tool. Pet. Geosci. 11:17-28. http://dx.doi.org/10.1144/ 1354-079303-613.
16. Ringrose, P. S., Martinius, A. W., and Alvestad, J. 2008. Multiscale Geological Reservoir Modelling in Practice. Special Publications, Vol. 309, 123-134. London: Geological Society. http://dx.doi.org/10.1144/SP309.9.
17. Ringrose, P. S., Nordahl, K., and Wen, R. 2005. Vertical Permeability Estimation in Heterolithic Tidal Deltaic Sandstones. Pet. Geosci. 11(1):29-36. http://dx.doi.org/10.1144/1354-079303-614.
18. Toro-Rivera, M. L. E., Corbett, P. W. M., and Stewart, G. 1994. Well Test Interpretation in a Heterogeneous Braided Fluvial Reservoir. Paper SPE 28828 presented at the European Petroleum Conference, London, United Kingdom, 25-27 October. http://dx.doi.org/10.2118/28828-MS.
19. Wasserman, M. L. 1987. Local Grid Refinement for Three-Dimensional Simulators. Paper SPE 16013 presented at the SPE Symposium on Reservoir Simulation, San Antonio, Texas, 1-4 February. http://dx.doi.org/10.2118/16013- MS.
20. Wen, R., Martinius, A. W., Naess, A. et al. 1998. Three-Dimensional Simulation of Small-Scale Heterogeneity in Tidal Deposits - A Process-Based Stochastic Method. Proceedings of 4th Annual Conference of the International Association of Mathematical Geology. Ischia De Frede, Naples, 129-134.