Use of high-resolution geophysical data to characterize heterogeneous aquifers: Influence of data integration method on hydrological predictions

Water Resources Research

Volumn 45, Issue 9, 2009, Pages

  Dafflon, B ^a   Irving, J ^a   Holliger, K ^a  

^a UNIVERSITY OF LAUSANNE   (Switzerland)

Author keywords

[No Author keywords available]

Indexed keywords

CONTAMINANT TRANSPORT; DATA INTEGRATION; DATA SETS; ELEMENTARY APPROACH; FLOW AND TRANSPORT; GEOPHYSICAL DATA; GRID CELLS; GROUND PENETRATING RADARS; HETEROGENEOUS AQUIFERS; HIGH RESOLUTION; HYDROGEOPHYSICAL; HYDROLOGICAL PREDICTION; LOG DATA; MEASUREMENT TECHNIQUES; POROSITY DISTRIBUTIONS; POROSITY FIELDS; POROSITY LOGS; SCALE RELATIONSHIP; SPATIAL CONTINUITY; SPATIAL SCALE; STOCHASTIC SIMULATIONS; STRUCTURAL COMPLEXITY;

AQUIFERS; BOREHOLES; DATA HANDLING; FORECASTING; GEOPHYSICS; GROUNDWATER FLOW; GROUNDWATER POLLUTION; GROUNDWATER RESOURCES; HYDRAULIC CONDUCTIVITY; HYDROGEOLOGY; INTEGRATION; POROSITY; RADAR ANTENNAS; STOCHASTIC MODELS; SYSTEMS ENGINEERING; WELL LOGGING;

SIMULATED ANNEALING;

AQUIFER CHARACTERIZATION; BOREHOLE; FLOW MODELING; GEOPHYSICAL METHOD; GROUND PENETRATING RADAR; GROUNDWATER FLOW; GROUNDWATER POLLUTION; HYDRAULIC CONDUCTIVITY; NUMERICAL METHOD; POLLUTANT TRANSPORT; POROSITY; SIMULATED ANNEALING;

EID: 71649093876     PISSN: 00431397     EISSN: None     Source Type: Journal    
DOI: 10.1029/2008WR007646     Document Type: Article

References (38)

1. Asprion, U., and T. Aigner (1999), Towards realistic aquifer models: Threedimensional georadar surveys of Quaternary gravel deltas (Singen Basin SW Germany), Sediment. Geol., 129(3-4), 281-297.
2. Beres, M., A. Green, P. Huggenberger, and H. Horstmeyer (1995), Mapping the architecture of glaciofluvial sediments with 3-dimensional georadar, Geology, 23(12), 1087-1090.
3. Bowling, J. C., A. B. Rodriguez, D. L. Harry, and C. Zheng (2005), Delineating alluvial aquifer heterogeneity using resistivity and GPR data, Ground Water, 43(6), 890-903.
4. Chen, J. S., S. Hubbard, and Y. Rubin (2001), Estimating the hydraulic conductivity at the South Oyster Site from geophysical tomographic data using Bayesian techniques based on the normal linear regression model, Water Resour. Res., 37(6), 1603-1613.
5. Dafflon, B., J. Irving, and K. Holliger (2009), Simulated-annealing-based conditional simulation for the local-scale characterization of heterogeneous aquifers, J. Appl. Geophys., 68(1), 60-70.
6. Davis, J. L., and A. P. Annan (1989), Ground-penetrating radar for highresolution mapping of soil and rock stratigraphy, Geophys. Prospect., 37(5), 531-551.
7. Day-Lewis, F. D., and J.W. Lane (2004), Assessing the resolution-dependent utility of tomograms for geostatistics, Geophys. Res. Lett., 31(7), L07503, doi:10.1029/2004GL019617. (Pubitemid 38870497)
8. Day-Lewis, F. D., P. A. Hsieh, and S. M. Gorelick (2000), Identifying fracture-zone geometry using simulated annealing and hydraulic-connection data, Water Resour. Res., 36(7), 1707-1721.
9. Deutsch, C. V. (2002), Geostatistical Reservoir Modeling, 384 pp., Oxford Univ. Press, New York.
10. Deutsch, C. V., and A. G. Journel (1998), GSLIB: Geostatistical Software Library and User's Guide, 384 pp., Oxford Univ. Press, New York.
11. Deutsch, C. V., and P. W. Cockerham (1994), Practical considerations in the application of simulated annealing to stochastic simulation, Math. Geol., 26(1), 67-82.
12. Deutsch, C. V., and X. H. Wen (1998), An improved perturbation mechanism for simulated annealing simulation, Math. Geol., 30(7), 801-816.
13. Freeze, A. R., and J. A. Cherry (1979), Groundwater, 604 pp., Prentice-Hall, Englewood Cliffs, N. J.
14. Gelhar, L. W. (1993), Stochastic Subsurface Hydrology, 480 pp., Prentice-Hall, Englewood Cliffs, N. J.
15. Goovaerts, P. (1997), Geostatistics for Natural Resources Evaluation, 496 pp., Oxford Univ. Press, New York.
16. Harp, D. R., Z. X. Dai, A. V. Wolfsberg, J. A. Vrugt, B. A. Robinson, and V. V. Vesselinov (2008), Aquifer structure identification using stochastic inversion,Geophys. Res. Lett., 35(8), L08404, doi:10.1029/2008GL033585.
17. Heinz, J., S. Kleineidam, G. Teutsch, and T. Aigner (2003), Heterogeneity patterns of Quaternary glaciofluvial gravel bodies (SW-Germany): Application to hydrogeology, Sediment. Geol., 158(1-2), 1-23.
18. Holliger, K., and T. Bergmann (2002), Numerical modeling of borehole georadar data, Geophysics, 67(4), 1249-1257.
19. Hubbard, S. S., and Y. Rubin (2005), Introduction to hydrogeophysics, in Hydrogeophysics, edited by Y. Rubin and S. S. Hubbard, pp. 3-21, Springer, Dordrecht, Netherlands.
20. Hubbard, S. S., Y. Rubin, and E. Majer (1999), Spatial correlation structure estimation using geophysical and hydrogeological data, Water Resour. Res., 35(6), 1809-1825.
21. Hubbard, S. S., J. S. Chen, J. Peterson, E. L. Majer, K. H. Williams, D. J. Swift, B. Mailloux, and Y. Rubin (2001), Hydrogeological characterization of the South Oyster Bacterial Transport Site using geophysical data, Water Resour. Res., 37(10), 2431-2456.
22. Hyndman, D. W., and S. M. Gorelick (1996), Estimating lithologic and transport properties in three dimensions using seismic and tracer data: The Kesterson aquifer, Water Resour. Res., 32(9), 2659-2670.
23. Hyndman, D. W., J. M. Harris, and S. M. Gorelick (2000), Inferring the relation between seismic slowness and hydraulic conductivity in heterogeneous aquifers, Water Resour. Res., 36(8), 2121-2132.
24. Kelkar, M., and G. Perez (2002), Applied Geostatistics for Reservoir Characterization, 264 pp., Soc. of Pet. Eng., Richardson, Tex.
25. Kowalsky, M. B., S. Finsterle, J. Peterson, S. Hubbard, Y. Rubin, E. Majer, A. Ward, and G. Gee (2005), Estimation of field-scale soil hydraulic and dielectric parameters through joint inversion of GPR and hydrological data, Water Resour. Res., 41(11), W11425, doi:10.1029/2005WR004237.
26. Lanz, E., H. Maurer, and A. G. Green (1998), Refraction tomography over a buried waste disposal site, Geophysics, 63(4), 1414-1433.
27. Linde, N., S. Finsterle, and S. Hubbard (2006), Inversion of tracer test data using tomographic constraints, Water Resour. Res., 42(4), W04410, doi:10.1029/2004WR003806. (Pubitemid 43837025)
28. McKenna, S. A., and E. P. Poeter (1995), Field example of data fusion in site characterization, Water Resour. Res., 31(12), 3229-3240
29. Paasche, H., J. Tronicke, K. Holliger, A. G. Green, and H. Maurer (2006), Integration of diverse physical-property models: Subsurface zonation and petrophysical parameter estimation based on fuzzy c-means cluster analyses, Geophysics, 71(3), H33-H44.
30. Parks, K. P., L. R. Bentley, and A. S. Crowe (2000), Capturing geological realism in stochastic simulations of rock systems with Markov statistics and simulated annealing, J. Sediment. Res., 70(4), 803-813.
31. Pinder, G. F., and M. A. Celia (2006), Subsurface Hydrology, 488 pp., John Wiley, Hoboken, N. J.
32. Robinson, D. A., et al. (2008), Advancing process-based watershed hydrological research using near-surface geophysics: A vision for, and review of, electrical and magnetic geophysical methods, Hydrol. Processes, 22(18), 3604-3635.
33. Scheibe, T. D., and Y. J. Chien (2003), An evaluation of conditioning data for solute transport prediction, Ground Water, 41(2), 128-141.
34. Schön, J. H. (2004), Physical Properties of Rocks: Fundamentals and Principles of Petrophysics, 583 pp., Elsevier, Oxford, U. K.
35. Sudicky, E. A., and P. S. Huyakorn (1991), Contaminant migration in imperfectly known heterogeneous groundwater systems, Rev. Geophys., 29(S), 240-253.
36. Todd, D. K., and L. W. Mays (2005), Groundwater Hydrology, 656 pp., John Wiley, Hoboken, N. J.
37. Tronicke, J., and K. Holliger (2005), Quantitative integration of hydrogeophysical data: Conditional geostatistical simulation for characterizing heterogeneous alluvial aquifers, Geophysics, 70(3), H1-H10.
38. Zheng, C. M., and S. M. Gorelick (2003), Analysis of solute transport in flow fields influenced by preferential flowpaths at the decimeter scale, Ground Water, 41(2), 142-155.