Uncertainty quantification for evaluating impacts of caprock and reservoir properties on pressure buildup and ground surface displacement during geological CO2 sequestration

Greenhouse Gases: Science and Technology

Volumn 3, Issue 5, 2013, Pages 338-358

  Bao, Jie ^a   Hou, Zhangshuan ^a   Fang, Yilin ^a   Ren, Huiying ^a   Lin, Guang ^a  

^a PACIFIC NORTHWEST NATIONAL LABORATORY   (United States)

Author keywords

reduced order model; sensitivity analysis; uncertainty quantification

Indexed keywords

CARBON DIOXIDE; ELASTIC MODULI; GEOLOGY; GEOMECHANICS; INDUCED SEISMICITY; MONTE CARLO METHODS; PETROLEUM RESERVOIR ENGINEERING; PORE SIZE; SENSITIVITY ANALYSIS; SURFACE MEASUREMENT;

ANALYSIS OF VARIANCE METHOD; GENERALIZED CROSS VALIDATION; GENERALIZED LINEAR MODEL; GEOMECHANICAL BEHAVIOR; HYDROGEOLOGICAL PROPERTIES; QUASI-MONTE CARLO SAMPLINGS; REDUCED ORDER MODELS; UNCERTAINTY QUANTIFICATIONS;

UNCERTAINTY ANALYSIS;

EID: 84886772792     PISSN: None     EISSN: 21523878     Source Type: Journal    
DOI: 10.1002/ghg.1362     Document Type: Article

References (61)

1. Intergovernmental Panel on Climate Change (IPCC), Special Report on Carbon Dioxide Capture and Storage, Technical Report prepared by Working Group III. Cambridge University Press, New York (2005).
2. EIA, Emission of Greenhouse Gases in the United States: 2009, Brochure No. DOE/EIA-0573. Energy Information Administration, US Department of Energy, Washington, DC (2011).
3. Nordbotten JM, and, Celia MA, Similarity solutions for fluid injection into confined aquifers. J Fluid Mech 561: 307-327 (2006).
4. 2 sequestration in deep saline aquifers. Energ Procedia 4: 5306-5313 (2011).
5. 2 injection at In Salah, Algeria. Energ Procedia 1 (1): 1847-1854 (2009).
6. 2. I. Assessment and calculation of mutual solubilities from 12 to 100°C and up to 600 bar. Geochim Cosmochim Ac 67: 3015-3031 (2003).
7. 2 injection, migration, and leakage? Energ Procedia 4: 3857-3864 (2010).
8. 2. Energy 29: 1431-1444 (2004).
9. Colesanti C, and, Wasowski J, Satellite sar interferometry for wide-area slope hazard detection and site-specific monitoring of slow landslides. International Landslid Symposium, Rio de Janeiro, Brazil, pp. 1-6 (2004).
10. Ma F, Zhao H, Zhang Y, Guo J, Wei A, Wu Z, et al,., GPS monitoring and analysis of ground movement and deformation induced by transition from open-pit to underground mining. J Rock Mech Geotech Eng 4 (1): 82-87 (2012).
11. Nikolaidis RM, Bock Y, Jonge PJd, Shearer P, Agnew DC, and, Domselaar MV, Seismic wave observations with the global positioning system. J Geophys Res 106: 21897-21916 (2001).
12. Pan W, Bao J, Lo C, Lai K, Agarwal K, Koeppel BJ, et al., A general approach to develop reduced order models for simulation of solid oxide fuel cell stacks. J Power Sources 232: 139-151 (2013).
13. Burkardt J, Du Q, Gunzburger M, and, Lee HC, (eds), Reduced Order Modeling of Complex Systems. NA03, Dundee (2003).
14. Amsallem D, and, Farhat C, Interpolation method for the adaptation of reduced-order models to parameter changes and its application to aeroelasticity. AIAA J 46: 1803-1813 (2008).
15. Box GEP, Some theorems on quadratic forms applied in the study of analysis of variance problems, I. Effect of inequality of variance in the one-way classification. Ann Math Stat 25 (2): 290-302 (1954).
16. Anscombe FJ, The validity of comparative experiments. J Roy Statist Soc Series A 111: 181-211 (1948).
17. McCullagh P, and, Nelder J, Generalized Linear Models, 2nd Edn. Chapman and Hall/CRC, Boca Raton, FL (1989).
18. Chambers JM, and, Hastie TJ, Statistical Models in S. Chapman and Hall/CRC, Boca Raton, FL (1992).
19. Friedman JH, Fitting functions to noisy data in high dimensions. Twentieth Symposium on the Interface, ed. by, Wegman EJ, Gantz DT, and, Miller JJ,. American Statistical Association, Alexandria (1988).
20. Friedman JH, Multivariate Adaptive Regression Splines. Ann Stat 19: 140-141 (1991).
21. Friedman JH, Multivariate Adaptive Regression Splines. Ann Stat 19: 1-67 (1991).
22. Friedman JH, Fast MARS, Technical Report LCS110. Stanford University, Stanford, CA (1993).
23. Friedman JH, and, Silverman BW, Flexible parsimonious smoothing and additive modeling, CA Report SLAC-PUB-4390. Stanford Linear Accelerator, Stanford University, Stanford, CA (1987).
24. Friedman JH, Estimating functions of mixed ordinal and categorical variables using adaptive splines, Tech. Report LCS108. Department of Statistics, Stanford University, Stanford, CA (1991).
25. Drucker H, Burges CJC, Kaufman L, Smola AJ, and, Vapnik VN, Advances in Neural Information Processing Systems 9 (NIPS). MIT Press, Cambridge, MA, pp. 155-161 (1996).
26. Smola AJ, and, Scholkopf B, A tutorial on support vector regression. Stat Comput 14: 199-222 (2004).
27. Tong C, PSUADE User's Manual. Lawrence Livermore National Laboratory, Livermore, CA (2009).
28. Williams CKI, Prediction With Gaussian Processes: From Linear Regression to Linear Prediction and Beyond, in Learning and Inference in Graphical Models, ed. by, Jordan, MI,. Kluwer, UK, pp. 599-621 (1997).
29. Mehrotra K, Mohan CK, and, Ranka S, Elements of Artificial Neural Networks. Institute of Technology, Massachusetts (2000).
30. White MD, and, Oostrom M, STOMP Subsurface Transport over Multiple Phases Version 4.0, PNNL-15782. Pacific Northwest National Laboratory, Richland, Washington (2006).
31. Kawai T, New element models in discrete structural analysis. Japan Soc Naval Arch 141: 174-180 (1977).
32. Fang Y, Nguyen BN, Carroll K, Xu Z, Yabusaki SB, Scheibe TD, et al., Development of a coupled thermo-hydro-mechanical model in discontinuous media for carbon sequestration. Int J Rock Mech Mining Sci 62: 138-147 (2013).
33. Davies JP, and, Davies DK, Stress-dependent permeability: Characterization and modeling. Soc Petrol Eng J 6 (2): 224-235 (2001).
34. Liu H, and, Rutqvist J, A new coal permeability model: Internal swelling stress and fracture-matrix interaction. Transport Porous Med 82: 157-171 (2010).
35. 2 injection into a brine formation. Environ Geol 42: 296-305 (2002).
36. 2 storage in deep sedimentry formations. Geotech Geol Eng 30: 525-551 (2012).
37. 2 injection and ground deformations at In Salah, Algeria. Int J Greenhouse Gas Control 4: 225-230 (2010).
38. 2 geological sequestration. Comput Geosci 54: 28-37 (2013).
39. 2 leakage after injection. Environ Earth Sci 66 (8): 2403-2415 (2012).
40. 2 sequestration. Math Geosci MAY: 1-19 (2013).
41. van Genuchten MT, A closed-form equation for redicting the hydraulic conductivity of unsaturated soils. Soil Sci Soc Am J 44 (5): 892-898 (1980).
42. Wilson GV, Jardine PM, Luxmoore RJ, Zelazny LW, Todd DE, and, Lietzke DA, Hydrogeochemical processes controlling subsurface transport from an upper subcatchment of Walker Branch Watershe during storm events, 2, Solute transport processes. J Hydol 123 (3/4): 317-336 (1991).
43. 2 storage capacity in closed and semi-closed saline formations. Int J Greenhouse Gas Cont 2: 626-639 (2008).
44. Hart DJ, and, Wang HF, Laboratory measurements of a complete set of poroelastic moduli for Berea sandstone and Indiana limestone. J Geophys Res 100: 17741-17751 (1995).
45. Palmstrom A, and, Singh R, The deformation modulus of rock masses-comparisons between in situtests and indirect estimates. Tunn Undergr Sp Tech 16 (3): 115-131 (2001).
46. Gercek H, Poisson's ratio values for rocks. Int J Rock Mech Min 44: 1-13 (2007).
47. Eseme E, Littke R, Krooss BM, and, Schwartzbauer J, Experimental investigation of the compositional variation of petroleum during primary migration. Org Geochem 38 (8): 1373-1397 (2007).
48. Tarantola A, Inverse Problem Theory and Model Parameter Estimation. Society for Industrial and Applied Mathematics, Philadelpia, PA (2005).
49. Bratley P, and, Fox BL, Algorithm 659: Implementing sobol's quasirandom sequence generator. ACM T Math Software 14: 88-100 (1988).
50. Berger RL, and, Casella G, Statistical Inference. Duxbury Press, Pacific Grove, CA (2001).
51. Fisher RA, Statistical Methods for Research Workers. Oliver and Boyd, Edinburgh (1925).
52. Tukey JW, Exploratory Data Analysis. Addison-Wesley, Boston, Mass. (1977).
53. Benjamini Y, Opening the box of a boxplot. Am Stat 42: 257-262 (1988).
54. Rousseeuw PJ, Ruts I, and, Tukey JW, The Bagplot: A Bivariate Boxplot. Am Stat 53: 382-387 (1999).
55. Rao CR, Toutenburg H, Fieger A, Heumann C, Nittner T, and, Scheid S, Linear Models: Least Squares and Alternatives. Springer Series in Statistics: Springer, New York, NY (1999).
56. Björck Å, Numerical Methods for Least Squares Problems. Society for Industrial and Applied Mathematics, Philadelphia, PA (1996).
57. Steel RGD, and, Torrie JH, Principles and Procedures of Statistics. McGraw-Hill, New York (1960).
58. Cameron AC, and, Windmeijer FAG, An R-squared measure of goodness of fit for some common nonlinear regression models. J Econometrics 77: 329-342 (1997).
59. EPA, Determination of maximum injection pressure for Class I wells, in Underground Injection Control Section Regional Guidance #7. [Online]. Water Division USEPAR, Chicago, IL (1994). Available at: http://www.epa.gov/r5water/ uic/r5guid/r5-07.htm. [29 March 2011]
60. Leetaru HE, Morse DG, Bauer R, Frailey S, Keefer D, Kolata D, et al,., Saline reservoirs as a sequestration target, in An Assessment of Geological Carbon Sequestration Options in the Illinois Basin, Final Report for U.S. DOE Contract: DE-FC26-03NT41994, Principal Investigator: Robert Finley, pp. 253-324 (2005).
61. FutureGen, Project Final Environmental Impact Statement (DOE/EIS-0394) [Online]. Washington, DC (2006). Available at: http://www.netl.doe.gov/ technologies/coalpower/futuregen/eis/ [30 July 2013].