Ranking stochastic realizations for improved aquifer response uncertainty assessment

Journal of Hydrology

Volumn 223, Issue 1-2, 1999, Pages 54-65

  Kupfersberger, H ^a   Deutsch, C V ^b  

^a JOANNEUM RESEARCH   (Austria)

^b Sch of Mining and Petrol Eng   (Canada)

Author keywords

Aquifer response uncertainty; Ranking; Stochastic realizations

Indexed keywords

COMPUTER SIMULATION; FLOW OF WATER; GROUNDWATER RESOURCES; HYDROLOGY; MATHEMATICAL MODELS; NUMERICAL ANALYSIS; PROBABILITY; RANDOM PROCESSES; TRANSPORT PROPERTIES;

AQUIFER RESPONSE UNCERTAINTY; COARSE SCALE RESPONSES; FINE SCALE REALIZATION; FLOW SIMULATION; RANKING; STOCHASTIC REALIZATION; TRANSPORT SIMULATION;

AQUIFERS;

AQUIFER; STOCHASTIC PROCESS; UNCERTAINTY ANALYSIS;

EID: 0033595458     PISSN: 00221694     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0022-1694(99)00113-4     Document Type: Article

References (24)

1. Ballin P.R., Journel A.G., Aziz K.A. Prediction of uncertainty in reservoir performance forecasting. JCPT. 31:(4):1992;52-62.
2. Bouwer H. Planning and interpreting soil permeability measurements. Journal of the Irrigation and Drainage Division of the ASCE. IE:(3):1969;391-402.
3. Dagan G., Bellin A., Rubin Y. Lagrangian analysis of transport in heterogeneous formations under transient flow conditions. Water Resources Research. 32:(4):1996;891-899.
4. Delhomme J.P. Spatial variability and uncertainty in groundwater flow parameters: a geostatistical approach. Water Resources Research. 15:(2):1979;269-280.
5. Deutsch C.V., Journel A.G. GSLIB: Geostatistical Software Library and User's Guide. 1992;Oxford University Press, New York. p. 368.
6. Deutsch, C., Srinivasan, S., 1996. Improved reservoir management through ranking stochastic reservoir models: SPE/DOE Tenth Symposium on Improved Oil Recovery. Tulsa, OK, 21-24 April, pp. 105-113.
7. Follin S., Thunvik R. On the use of continuum approximations for regional modeling of groundwater flow through crystalline rocks. Advances in Water Resources. 17:(3):1994;133-145.
8. Gelhar L.W., Welty C., Rehfeldt K.R. A critical review of data on field-scale dispersion in aquifers. Water Resources Research. 28:(7):1992;1955-1974.
9. Gelhar L.W. Stochastic Subsurface Hydrology. 1993;Prentice-Hall, Englewood Cliffs, NJ. p. 390.
10. Gomez-Hernandez J.J., Carrera J. Using linear approximations to rank realizations in groundwater modeling: application to worst case selection. Water Resources Research. 30:(7):1994;2065-2072.
11. Gomez-Hernandez J.J., Wen X. Probabilistic assessment of travel times in groundwater modeling. Journal of Stochastic Hydrology and Hydraulics. 8:(1):1994;19-55.
12. Isaaks E.I., Srivastava R.M. An Introduction to Applied Geostatistics. 1989;Oxford University Press, New York. p. 561.
13. Journel A.G. Fundamentals of Geostatistics in Five Lessons: Short Course in Geology. 8:1989;American Geophysical Union, Washington, DC. p. 40.
14. Kabala Z.J., Sposito G. Statistical moments of reactive solute concentration in a heterogeneous aquifer. Water Resources Research. 30:(3):1994;759-768.
15. Peck, A., Gorelick, S.M., de Marsily, G., Foster, S., Kovalevsky, V., 1988. Consequences of spatial variability in aquifer properties and data limitations for groundwater modeling practice. IAHS publication no. 175, Wallingford, UK.
16. Poeter E.P., McKenna S.A. Reducing uncertainty associated with ground-water flow and transport predictions. Ground-water. 33:(6):1994;899-904.
17. Rautman, C.A., Robey, T.H., 1992. Recent developments in stochastic modeling and upscaling of hydrologic properties in tuff. SAND-92-2671C. Sandia National Laboratories, Albuquerque, NM, p. 10.
18. Rehfeldt K.R., Boggs J.M., Gelhar L.W. Field study of dispersion in a heterogeneous aquifer. 3. Geostatistical analysis of hydraulic conductivity. Water Resources Research. 28:(2):1992;3309-3324.
19. Sanchez-Villa X., Girardi J.P., Carerra J. A synthesis of approaches to upscaling of hydraulic conductivities. Water Resources Research. 31:(4):1995;867-882.
20. Silliman S.E., Wright A.L. Stochastic analysis of paths of high hydraulic conductivity in porous media. Water Resources Research. 16:(2):1988;303-313.
21. Therrien R., Sudicky E.A. Three-dimensional analysis of variably saturated flow and transport in discretely fractured porous media: model development and illustrative examples. Journal of Contaminant Hydrology. 23:(1-2):1996;1-44.
22. Tyler K., Henriquez A., Svanes T. Modeling heterogeneities in fluvial domains: a review on the influence on production profile. Yarus J., Chambers R. Stochastic Modeling and Geostatistics: Principles, Methods, and Case Studies. Computer Applications in Geology. 3:1995;77-89 American Association of Petroleum Geologists.
23. Warren J.E., Price H.H. Flow in heterogeneous porous media. Society of Petroleum Engineering Journal. 1:1961;153-169.
24. Wen X., Gomez-Hernandez J.J. Upscaling hydraulic conductivities in heterogeneous media: an overview. Journal of Hydrology. 183:1996;ix-xxxii.