A Statistical Inference Approach for the Identification of Dominant Parameters in Immiscible Nitrogen Injection

REFERENCES

• Adepoju, O., Olufemi, O., and Djuro, N. 2009. Improving production forecasts through the application of design of experiments and probabilistic analysis: A case study from Chevron. SPE Paper 128605. 33rd Annual SPE International Technical Conference and Exhibition, Abuja, Nigeria, August 3–5.
   Google Scholar
• Alkafeef, S. J., and Zaid, A. Z. 2007. Review of and outlook for enhanced oil recovery techniques in Kuwait oil reservoirs. International Petroleum Technology Conference, Dubai, U.A.E., December 4–6.
   Google Scholar
• Alvarado, V. 2002. Selection of EOR/IOR opportunities based on machine learning. SPE Paper 78332. SPE European Petroleum Conference, Aberdeen, Maryland, October 29–31. DOI: 10.2118/78332-MS.
   Google Scholar
• Amudo, C., Graf, T., Dandekar, R., and Randle, J. M. 2009. The pains and gains of experimental design and response surface applications in reservoir simulation studies. SPE Paper 118709. 2009 SPE Reservoir Simulation Symposium, The Woodlands, Texas, February 2–4.
   Google Scholar
• Bailey, R. E. 1984. Enhanced oil recovery. Washington, DC: NPC, Industry Advisory Committee to the U.S. Secretary of Energy.
   Google Scholar
• Box, G. E. P., Hunter, W. G., and Hunter, S. J. 2005. Statistics for Experimenters: Design, Innovation, and Discovery. New York: John Wiley & Sons Inc.
   Google Scholar
• CMG/GEM. 2009. CMG, GEM User's Guide: Advanced Oil/Gas Reservoir Simulator, Version 2009. Calgary, Canada: Computer Modeling Group Ltd.
   Google Scholar
• Damsleth, E., Hage, A., and Volden, L. 1992. Maximum information at minimum cost—A North Sea field development study with an experimental design. J. Pet. Technol. 14:1350–1356.
   Google Scholar
• Egeland, T., Hatlebakk, E., Holden, L., and Larsen, E. A. 1992. Designing better decisions. SPE Paper 24275. SPE European Petroleum Computer Conference, Stavanger, Norway, May 25–27.
   Google Scholar
• Eide, A. L., Holden, L., Reiso, E., and Aanononsen, S. 1994. Automatic history matching by use of response surfaces and experimental design. European Conference on the Mathematics of Oil Recovery, Roros, Norway, June 7–10.
   Google Scholar
• Haynes, H. J. 1976. Enhanced Oil Recovery. Washington, DC: NPC, Industry Advisory Council to the U.S. Dept. of the Interior.
   Google Scholar
• Hinkelmann, K., and Kempthorne, O. 2008. Design and Analysis of Experiments, Vol. 1, Second Edition. Hoboken, NJ: John Wiley & Sons Inc.
   Google Scholar
• Larsen, E. A., Kristoffersen, S., and Egeland, T. 1994. Functional integration in design and use of a computer-based system for design of statistical. SPE Paper 27585. SPE European Petroleum Computer Conference, Aberdeen, Scotland, March 15–17.
   Google Scholar
• Larsen, R. J., and Marx, M. L. 2006. An Introduction to Mathematical Statistics and Its Applications, Fourth Edition. NJ: Pearson Prentice Hall.
   Google Scholar
• Lazic, Z. R. 2004. Design of Experiments in Chemical Engineering. Weinheim, Germany: WILEY-VCH Verlag GmbH & Co. KGaA.
   Google Scholar
• Li, B., and Friedmann, F. 2005. Novel multiple resolutions design of experiment/response surface methodology for uncertainty analysis of reservoir simulation forecasts. SPE Paper 92853. SPE Reservoir Simulation Symposium, Houston, Texas, January 31–February 2.
   Google Scholar
• Liu, B., Dessenberger, R., McMillen, K., Lach, J., and Kelkar, M. 2008. Water-flooding incremental oil recovery study in Middle Miocene to Paleocene reservoirs, deep-water Gulf of Mexico. SPE Asia Pacific Oil & Gas Conference and Exhibition, Perth, Australia, October 20–22.
   Google Scholar
• Manrique, E. J., and Pereira, C. A. 2007. Identifying viable EOR thermal processes in Canadian tar sands. Petroleum Society's 8th Canadian International Petroleum Conference (58th Annual Technical Meeting), Calgary, Alberta, Canada, June 12–14.
   Google Scholar
• Manrique, E. J., Muci, V. E., and Gurfinkel, M. E. 2007. EOR field experiences in carbonate reservoirs in the United States. SPE Reservoir Eval. & Eng. J. 10:667–686.
   Web of Science ®Google Scholar
• Montgomery, D. C. 2001. Design and Analysis of Experiments, Fifth Edition. New York, NY: John Wiley & Sons Inc.
   Google Scholar
• NIST/SEMATECH. 2006. NIST/SEMATECH e-Handbook of Statistical Methods. Available at: http://www.itl.nist.gov/div898/handbook/.
   Google Scholar
• Prada, J. W. V., Cunha, J. C., and Cunha, L. B. 2005. Uncertainty assessment using experimental design and risk analysis techniques, applied to offshore heavy-oil recovery. SPE International Thermal Operations and Heavy Oil Symposium, Calgary, Alberta, Canada, November 1–3.
   Google Scholar
• Taber, J. J., Martin, F. D., and Seright, R. S. 1997. EOR screening criteria revisited. Part 1: Introduction to screening criteria and enhanced recovery field projects. SPE Reservoir Eng. J. 12:189–198.
   Web of Science ®Google Scholar
• Vanegas Prada, J. W., and Cunha, L. B. 2008. Prediction of SAGD performance using response surface correlations developed by experimental design techniques. J. Can. Pet. Technol. 47:58–64.
   Web of Science ®Google Scholar
• White, C. D., and Royer, S. A. 2003. Experimental design as a framework for reservoir studies. SPE Paper 79676. SPE Reservoir Simulation Symposium, Houston, Texas, February 3–5.
   Google Scholar
• Wonnacott, T. H., and Wonnacott, R. J. 1969. Introductory Statistics. New York, NY: John Wiley & Sons Inc.
   Google Scholar