Quantifying the benefit of wellbore leakage potential estimates for prioritizing long-term MVA well sampling at a CO2 storage site

Environmental Science and Technology

Volumn 49, Issue 2, 2015, Pages 37-42

  Azzolina, Nicholas A ^a   Small, Mitchell J ^a   Nakles, David V ^a   Glazewski, Kyle A ^b   Peck, Wesley D ^b   Gorecki, Charles D ^b   Bromhal, Grant S ^c   Dilmore, Robert M ^c  

^a CARNEGIE MELLON UNIVERSITY   (United States)

^b UNIVERSITY OF NORTH DAKOTA   (United States)

^c NATIONAL ENERGY TECHNOLOGY LABORATORY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CARBON DIOXIDE; WATER POLLUTANT; WELL WATER;

ANALYSIS; CANADA; CHEMISTRY; COMPUTER SIMULATION; ENVIRONMENT; ENVIRONMENTAL MONITORING; GEOLOGY; MONTE CARLO METHOD; OIL AND GAS FIELD; PERMEABILITY; PROBABILITY; PROCEDURES; STATISTICAL MODEL; UNCERTAINTY; UNITED STATES; WATER POLLUTANT;

CANADA; CARBON DIOXIDE; COMPUTER SIMULATION; ENVIRONMENT; ENVIRONMENTAL MONITORING; GEOLOGY; MODELS, STATISTICAL; MONTE CARLO METHOD; OIL AND GAS FIELDS; PERMEABILITY; PROBABILITY; UNCERTAINTY; UNITED STATES; WATER POLLUTANTS; WATER WELLS;

EID: 84921763499     PISSN: 0013936X     EISSN: 15205851     Source Type: Journal    
DOI: 10.1021/es503742n     Document Type: Article

References (28)

1. IPCC Special Report on Carbon Dioxide Capture and Storage; Prepared by Working Group III of the Intergovernmental Panel on Climate Change; Metz, B., Davidson, O., de Coninck, H. C. , Loos, M., , Meyer, L. A., Eds.; Cambridge University Press: Cambridge, U.K. and New York, U.S.A., 2005.
2. 2; U.S. Department of Energy, DOE/NETL-2011/1459, March 2011.
3. The 2012 United States Carbon Utilization and Storage Atlas - Fourth ed. (Atlas IV); U.S. Department of Energy, National Energy Technology Laboratory, 2012.
4. 2 leakage from geological storage: analytical models, numerical models and data needs. Proc. 7th Int. Conf. Greenhouse Gas Control Technology, Vancouver, Canada, 2007.
5. 2 and brine leakage along old wells. Int. J. Greenhouse Gas Control 2011, 5, 257-269 DOI: 10.1016/j.ijggc.2010.10.005.
6. 2 through abandoned wells in a geological sequestration operation using pressure monitoring wells. Energy Procedia 2011, 4, 3620-3627 DOI: 10.1016/j.egypro.2011.02.292.
7. 2 leakage along wellbores, Society of Petroleum Engineers (SPE) E&P Environmental and Safety Conference, Galveston, Texas, March 5-7, 2007, SPE Paper 106817.
8. 2 enhanced oil recovery, Society of Petroleum Engineers (SPE) Improved Oil Recovery Symposium, Tulsa, Oklahoma, April 19-23, 2008, SPE Paper 112924.
9. 2 leak detection system. Environ. Sci. Technol. 2011, 45, 6380-6387 DOI: 10.1021/es104379m.
10. 2 flux and leak detection at geologic sequestration sites. Environ. Earth Sci. 2011, 64 (3), 787-798 DOI: 10.1007/s12665-011-0903-5.
11. 2 leak detection technologies. Greenhouse Gases: Sci. Technol. 2012, 2 (3), 185-199 DOI: 10.1002/ghg.1284.
12. 2 sequestration system. Stoch. Environ. Res. Risk Assess. 2014, 28, 895-909 DOI: 10.1007/s00477-013-0788-9.
13. 2 Stored in Deep Geologic Formations; U.S. Department of Energy, DOE/ NETL-311/081508, March 2009.
14. 2 Monitoring and Storage Project; Geoscience Publishing: Alberta, Canada, 2012.
15. Geologic Sequestration of Carbon Dioxide Draft Underground Injection Control (UIC) Program Class VI Well Area of Review Evaluation and Corrective Action Guidance for Owners and Operators; U.S. Environmental Protection Agency, Office of Water (4606M), EPA-816-D-10-007, March 2011.
16. Gilbert, R. O. Statistical Methods for Environmental Pollution Monitoring; John Wiley and Sons, Inc.: New York, 1987.
17. Guidance on Choosing a Sampling Design for Environmental Data Collection, Office of Environmental Information; U.S. Environmental Protection Agency, EPA-240-R-02-005: Washington, D.C., December 2002.
18. 2 Reduction Partnership Phase III Task 16 Deliverable D90 for U.S. Department of Energy National Energy Technology Laboratory Cooperative Agreement No. DEFC26-05NT42592; Energy & Environmental Research Center: Grand Forks, ND, September 2013.
19. 2 storage: Final report for Stage I (Phases 1 and 2); Alberta Innovates Technology Futures, 2012.
20. Engineering Statistics Handbook, 1.3.6.6.11. Gamma Distribution; http://www.itl.nist.gov/div898/handbook/eda/section3/eda366b.htm.
21. Minitab 17 Statistical Software (2010). [Computer software]. Minitab, Inc.: State College, PA (www.minitab.com).
22. Jaynes, E. T. Probability Theory: The Logic of Science; Cambridge University Press: Cambridge, U.K., 2003.
23. Berkopec, A. HyperQuick algorithm for discrete hypergeometric distribution. J. Discrete Algorithms 2007, 5 (2), 341 DOI: 10.1016/j.jda.2006.01.001.
24. Wallenius, K. T. Biased Sampling: The Non-central Hypergeometric Probability Distribution. Ph.D. Dissertation, Stanford University, Department of Statistics, 1963.
25. Fog, A. Sampling methods for Wallenius' and Fisher's noncentral hypergeometric distributions. Commun. Stat. - Simul. Comput. 2008, 37 (2), 241-257 DOI: 10.1080/03610910701790236.
26. Fog, A. BiasedUrn: Biased Urn model distributions. R package version 3.02. http://CRAN.R-project.org/package=BiasedUrn (accessed May 7, 2014).
27. R Core Team. R: A Language and Environment for Statistical Computing; R Foundation for Statistical Computing: Vienna, Austria. URL http://www.R-project.org/ (accessed May 7, 2014).
28. 2 sequestration: A framework for integrated monitoring design. Environ. Sci. Technol. 2011, 45, 845-859 DOI: 10.1021/es102240w.