Development of a joint hydrogeophysical inversion approach and application to a contaminated fractured aquifer

Water Resources Research

Volumn 42, Issue 6, 2006, Pages

  Chen, J ^a   Hubbard, S ^a   Peterson, J ^a   Williams, K ^a   Fienen, M ^b   Jardine, P ^c   Watson, D ^c  

^a LAWRENCE BERKELEY NATIONAL LABORATORY   (United States)

^b Stanford University ^*  (United States)

^c OAK RIDGE NATIONAL LABORATORY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

AQUIFERS; BOREHOLES; COMPUTER SIMULATION; CONTAMINATION; MATHEMATICAL MODELS; MONTE CARLO METHODS; SEISMOLOGY;

BAYESIAN MODELS; BIOSTIMULATION; CROSSHOLE SEISMIC TRAVEL TIME; FRACTURED ZONATION;

HYDROGEOLOGY;

AQUIFERS; BOREHOLES; COMPUTER SIMULATION; CONTAMINATION; HYDROGEOLOGY; MATHEMATICAL MODELS; MONTE CARLO METHODS; SEISMOLOGY;

AQUIFER POLLUTION; BAYESIAN ANALYSIS; CROSSHOLE SEISMIC METHOD; FLOWMETER; MARKOV CHAIN; MONTE CARLO ANALYSIS;

NORTH AMERICA; OAK RIDGE RESERVATION; TENNESSEE; UNITED STATES;

EID: 33746600607     PISSN: 00431397     EISSN: None     Source Type: Journal    
DOI: 10.1029/2005WR004694     Document Type: Article

References (37)

1. Bernardo, J. M., and A. F. Smith (1994), Bayesian Theory, John Wiley, Hoboken, N. J.
2. Binley, A., P. Winship, R. Middleton, M. Pokar, and J. West (2001), High-resolution characterization of vadose zone dynamics using cross-bore-hole radar, Water Resour. Res., 57(2), 2639-2652.
3. Bosch, M., A. Guillen, and P. Ledru (2001), Lithologic tomography: An application to geophysical data from the Cadomian belt of northern Brittany, France, Tectonophysics, 31, 197-227.
4. Brooks, S. P., and A. Gelman (1998), General methods for monitoring convergence of iterative simulation, J. Comput. Graphical Stat., 7(4), 434-455.
5. Buland, A., and H. Omre (2003), Joint avo inversion, wavelet estimation and noise-level estimation using a spatially coupled hierarchical Bayesian model, Geophys. Prospect., 51, 531-550.
6. Cassiani, G., G. Bohm, A. Vesnaver, and R. Nicolich (1998), A geostatistical framework for incorporating seismic tomography auxiliary data into hydraulic conductivity estimation, J. Hydrol., 206, 58-74.
7. Chen, J., and Y. Rubin (2003), An effective Bayesian model for lithofacies estimation using geophysical data, Water Resour. Res., 39(5), 1118, doi:10.1029/2002WR001666.
8. Chen, J., 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.
9. Chen, J., S. Hubbard, Y. Rubin, C. Murray, E. Roden, and E. Majer (2004), Geochemical characterization using geophysical data and Markov chain Monte Carlo methods: A case study at the South Oyster bacterial transport site in Virginia, Water Resour. Res., 40, W12412, doi:10.1029/2003WR002883.
10. Griddle, C., et al. (2003), Biostimulation of uranium reduction in situ and coupled ex situ ground water treatment at the NABIR Field Research Center, paper presented at DOE-NABIR PI Workshop, Dep. of Energy, Warrenton, Va., 17-19 March.
11. Day-Lewis, F. D., and J. W. Lane Jr. (2004), Assessing the resolution-dependent utility of tomograms for geostatistics, Geophys. Res. Lett., 31, L07503, doi:10.1029/2004GL019617.
12. Doll, W. E., D. B. Watson, and P. M. Jardine (2002), Geophysical profiling in support of a nitrate and uranium groundwater remediation study, paper presented at 2002 Symposium on the Application of Geophysics to Engineering and Environmental Problems, Environ, and Eng. Geophys. Soc., Las Vegas, Nev., 10-14 Feb.
13. Ellefsen, K. J., P. A. Hsieh, and A. M. Shapiro (2002), Crosswell seismic investigations of hydraulically conductive, fractured bedrock near Mirror Lake, New Hampshire, J. Appl. Geophys., 50, 299-317.
14. Fienen, M. N., P. K. Kitanidis, D. Watson, and P. Jardine (2004), An application of Bayesian inverse methods to vertical deconvolution of hydraulic conductivity in a heterogeneous aquifer at Oak Ridge National Laboratory, Math. Geol, 36(1), 101-126.
15. Fienen, M. N., J. Luo, and P. K. Kitanidis (2005), Semi-analytical, homogeneous, anisotropic capture zone delineation, J. Hydrol, 312, 39-50.
16. Gelfand, A. E., and A. F. M. Smith (1990), Sampling-based approaches to calculating marginal densities, J. Am. Stat. Assoc., 55(410), 398-409.
17. Gelman, A., and D. B. Rubin (1992), Inference from iterative simulation using multiple sequences, Stat. Sci., 7(4), 457-472.
18. Geman, S., and D. Geman (1984), Stochastic relaxation, Gibbs distributions, and the Bayesian restoration of images, IEEE Trans. Pattern Anal. Mach. Intel, 6, 721-741.
19. Geophex, Ltd. (2003), Borehole Geophysical Services, Area 3, DOE Y-12 Facility, technical report, Oak Ridge, Term.
20. Gilks, W. R., S. Richardson, and D. J. Spiegelhalter (1996), Markov Chain Monte Carlo in Practice, CRC Press, Boca Raton, Fla.
21. Hubbard, S., Y. Rubin, and E. Majer (1997), Ground penetrating radar assisted saturation and permeability estimation in bimodal systems, Water Resour. Res., 33(5), 971-990.
22. Hyndman, D. W., J. M. Harris, and S. M. Gorelick (1994), Coupled seismic and tracer test inversion for aquifer property characterization, Water Resour. Res., 30(7), 1965-1977.
23. Illman, W. A. (2005), Type curve analyses of pneumatic single-hole tests in unsaturated fractured tuff: Direct evidence for a porosity scale effect, Water Resour. Res., 41, W04018, doi:10.1029/2004WR003703.
24. Illman, W. A., and S. P. Neuman (2000), Type-curve interpretation of multi-rate single-hole pneumatic injection tests in unsaturated fractured rock, Ground Water, 38(6), 899-911.
25. Kowalsky, M. B., S. Finsterle, and Y. Rubin (2004), Estimating flow parameter distributions using ground-penetrating radar and hydrological measurements during transient flow in the vadose zone, Adv. Water Resour., 27, 583-599.
26. Linde, N., J. Chen, M. Kowalsky, and S. Hubbard (2006), Hydrogeophysical parameter estimation approaches for field scale characterization, in Applied Hydrogeophysics, Springer, New York, in press.
27. Majer, E. L., L. R. Myer, J. E. Peterson, K. Karasaki, J. C. S. Long, S. J. Martel, P. Blumling, and S. Vomvoris (1990), Joint seismic, hydrogeological, and geomechanical investigations of a fracture zone in the Grimsel Rock Laboratory, Switzerland, technical report, Lawrence Berkeley Natl. Lab., Berkeley, Calif.
28. Majer, E. L., J. E. Peterson, T. Daley, B. Kaelin, L. Myer, J. Queen, P. D'Onfro, and W. Rizer (1997), Fracture detection using crosswell and single well surveys, Geophysics, 62, 495-504.
29. Malinverao, A. (2002), Parsimonious Bayesian Markov chain Monte Carlo inversion in a nonlinear geophysical problem, Geophys. J. Int., 151, 675-688.
30. Molz, F., G. Boman, S. Young, and W. Waldrop (1994), Borehole flow-meters: Field application and data analysis, J. Hydrol., 163, 347-371.
31. Peterson, J. E. (2001), Pre-in version processing and analysis of tomographic radar data, J. Environ. Eng. Geophys., 6(1), 1-18.
32. Peterson, J. E., B. N. Paulsson, and T. V. McEvilly (1985), Applications of algebraic reconstruction techniques to crosshole seismic data, Geophysics, 50, 1566-1580.
33. Pyrak-Nolte, L. J., L. R. Myer, and N. G. W. Cook (1990), Transmission of seismic waves across single natural fractures, J. Geophys. Res., 95(B6), 8617-8638.
34. Vasco, D. W., J. E. Peterson, and E. L. Major (1996), A simultaneous inversion of seismic traveltimes and amplitudes for velocity and attenuation, Geophysics, 61, 1738-1757.
35. Watson, D., W. Doll, J. Gamey, J. Sheehan, and P. Jardine (2005), Plume and lithologic profiling with surface resistivity and seismic tomography, Ground Water, 43(2), 169-177.
36. Wu, W.-M., et al. (2006a), Field-scale of bioremediation of uranium in a highly contaminated aquifer I: Conditioning of a treatment zone, Environ. Sci. Technol., in press.
37. Wu, W.-M., et al. (2006b), Field-scale of bioremediation of uranium in a highly contaminated aquifer II: Geochemical control of U (VI) bioavailability and evidence of U (VI) reduction, Environ. Sci. Technol., in press.