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Peer Review of Interim Report on Computational Fluid Dynamics Model for Predicting Wellhead Oil-Burning Efficiency at Bench and Intermediate Scales (2021)

Chapter: Appendix D: Additional Resources

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Suggested Citation:"Appendix D: Additional Resources." National Academies of Sciences, Engineering, and Medicine. 2021. Peer Review of Interim Report on Computational Fluid Dynamics Model for Predicting Wellhead Oil-Burning Efficiency at Bench and Intermediate Scales. Washington, DC: The National Academies Press. doi: 10.17226/26211.
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Appendix D

Additional Resources

Worst Case Discharge/Wellhead Modeling

Bureau of Ocean Energy Management. Regulatory Analysis. Webpage. https://www.boem.gov/oil-gas-energy/resource-evaluation/regulatory-analysis.

Society of Petroleum Engineers. 2015. Calculation of Worst-Case Discharge (WCD). SPE Technical Report Rev. 1.

Teles, F. B. X., P. J. Waltrich, I. Gupta, R. Hughes, M. S. Capovilla, and F. A. V. Cordoba. 2018. Development and Improvement of Flow Models Applied to Multiphase Flows in Large-Diameter Pipes and High-Velocity Flows. Bureau of Ocean Energy Management, US Department of the Interior M17PX00030.

Waltrich, P. J., M. S. Capovilla, W. Lee, P. C. de Sousa, M. Zulqarnain, R. Hughes, M. Tyagi, W. Williams, S. Kam, A. Archer, J. Singh, H. Nguyen, J. Duhon, and C. Griffith. 2019. Experimental Evaluation of Wellbore Flow Models Applied to Worst-Case-Discharge Calculations for Oil Wells. SPE Drill & Compl 34 (03):315–333. doi: https://doi.org/10.2118/184444-PA.

Droplet and Spray Behavior

Sirignano, W. A. 2012. Fluid Dynamics and Transport of Droplets and Sprays: Second Edition. Cambridge: Cambridge University Press.

Particulate Emissions

Kwon, H., S. Shabnam, A.C.T. van Duin, and Y. Xuan. 2020. Numerical simulations of yield-based sooting tendencies of aromatic fuels using ReaxFF molecular dynamics. Fuel 262:116545.

Lautenbergera, C. W., J. L.de Risb, N. A. Dembseya, J. R. Barnetta, andH. R. Baumc. 2005. A simplified model for soot formation and oxidation in CFD simulation of non-premixed hydrocarbon flames. Fire Safety Journal 40 (2):141-176.

Rangwala, A. S. and X. Shi. 2016. Burning Behavior of Oil in Ice Cavities: Final Report. Bureau of Safety and Environmental Enforcement, US Department of the Interior E14PC00010.

Water and Crude Oil

Erua, E. 2015. Impact of Water Content in Hydrocarbons using Consequence Modelling. IChemE Symposium Series 160.

Crude Oil Properties and Surrogates

Hollebone, B. 2015. The oil properties data appendix. Pp. 577-681 in Handbook of Oil Spill Science and Technology, M. Fingas, ed. New York: John Wiley and Sons Inc.

Urban, D.L., S.P. Huey, and F.L. Dryer. 1992. Evaluation of the coke formation potential of residual fuel oils. Symposium (International) on Combustion 24 (1):1357-1364.

Page 38 Cite
Suggested Citation:"Appendix D: Additional Resources." National Academies of Sciences, Engineering, and Medicine. 2021. Peer Review of Interim Report on Computational Fluid Dynamics Model for Predicting Wellhead Oil-Burning Efficiency at Bench and Intermediate Scales. Washington, DC: The National Academies Press. doi: 10.17226/26211.
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Won, S.H., S.J. Lim, S. Nates, A.K. Alwahaibi, F.L. Dryer, F. Farid, and M. Hase. 2021. Combustion characteristics of crude oils for gas turbine applications by DCN measurements and NMR spectroscopy. Proceedings of the Combustion Institute 38 (4):5463-5473.

Page 37 Cite
Suggested Citation:"Appendix D: Additional Resources." National Academies of Sciences, Engineering, and Medicine. 2021. Peer Review of Interim Report on Computational Fluid Dynamics Model for Predicting Wellhead Oil-Burning Efficiency at Bench and Intermediate Scales. Washington, DC: The National Academies Press. doi: 10.17226/26211.
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Page 38 Cite
Suggested Citation:"Appendix D: Additional Resources." National Academies of Sciences, Engineering, and Medicine. 2021. Peer Review of Interim Report on Computational Fluid Dynamics Model for Predicting Wellhead Oil-Burning Efficiency at Bench and Intermediate Scales. Washington, DC: The National Academies Press. doi: 10.17226/26211.
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Peer Review of Interim Report on Computational Fluid Dynamics Model for Predicting Wellhead Oil-Burning Efficiency at Bench and Intermediate Scales reviews OSRR 1063: Bureau of Safety and Environmental Enforcement Report: Computational Fluid Dynamics Model for Predicting Wellhead Oil-Burning Efficiency at Bench and Intermediate Scales: Interim Report (July 30, 2020), produced by the U.S. Naval Research Laboratory (NRL) and funded by the Bureau of Safety and Environmental Enforcement (BSEE). Specifically, this report assesses the technical quality and completeness of the NRL report; the assumptions and approach used to develop the computational fluid dynamics model; and the completeness of the modeling results and experimental validation as an evidence base for determining whether wellhead burning is sufficient for mitigation of uncontrolled environmental release of oil in the event of loss of well control.

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