Sensitivity study on hydraulic well testing inversion using simulated annealing

Ground Water

Volumn 37, Issue 5, 1999, Pages 736-747

  Nakao, Shinsuke ^a,b   Najita, Julie ^a   Karasaki, Kenzi ^a  

^a UNIVERSITY OF CALIFORNIA   (United States)

^b GEOLOGICAL SURVEY OF JAPAN   (Japan)

Author keywords

[No Author keywords available]

Indexed keywords

FLUID FLOW;

ANNEALING; FRACTURE; GROUNDWATER; HYDRAULICS;

EID: 0032846656     PISSN: 0017467X     EISSN: None     Source Type: Journal    
DOI: 10.1111/j.1745-6584.1999.tb01166.x     Document Type: Article

References (25)

1. Bateman, P.C. 1992. Plutonism in the central part of the Sierra Nevada Batholith, California. U.S. Geological Survey Professional Paper No. 1483.
2. Bateman, P.C., and W.N. Sawka. 1981. Raymond Quadrangle, Madera and Mariposa Counties, California - Analytic data. U.S. Geological Survey Professional Paper No. 1214.
3. Billaux, D., J.P. Chiles, K. Hestir, and J. Long. 1989. Three-dimensional statistical modelling of a fractured rock mass - An example for the Fanay-Augers mine. International Journal of Rock Mechanics and Mining Sciences 26, no. 3/4: 281-299.
4. Carrera, J., and S.P. Neuman. 1986. Estimation of aquifer parameters under transient and steady state condition, 2. Uniqueness, stability, and solution algorithm. Water Resources Research 22, no. 2: 211-227.
5. Cohen, A.J.B. 1993. Hydrogeologic characterization of a fractured granite rock aquifer, Raymond, California. M.Sc. thesis, University of California, Lawrence Berkeley Laboratory, Report LBL-34838, Berkeley, California.
6. Cohen, A.J.B. 1995. Hydrogeologic characterization of fractured rock formation: A guide for groundwater remediators. Report LBL-38142. Berkeley, California: Lawrence Berkeley National Laboratory.
7. Cook, P. 1995. Analysis of hydraulic connectivity in fractured granite, M.Sc. thesis, University of California, Lawrence Berkeley National Laboratory, Berkeley, California.
8. Dougherty, D., and R.A. Marryott. 1991. Optimal groundwater management, 1. Simulated annealing. Water Resources Research 27, no. 10: 2493-2508.
9. Doughty, C., J.C. Long., K. Hestir, and S.M. Benson. 1994. Hydrologic characterization of heterogeneous geologic media with an inverse method based on iterated function systems. Water Resources Research 30, no. 6: 1721-1745.
10. Geman, S., and D. Geman. 1984. Stochastic relaxation, Gibbs distribution and Bayesian restoration of images. IEEE Transactions on Pattern Analysis and Machine Intelligence 6, no. 6: 721-741.
11. Jacobsen, J.S. 1993. A user's and programmer's guide to anneal: A research code developed to implement simulated annealing for hydraulic well test applications. Technical Report. Berkeley, California: Lawrence Berkeley Laboratory.
12. Karasaki, K. 1987. A new advection-dispersion code for calculating transport: in fracture networks. Report LBL-22090. Berkeley, California: Lawrence Berkeley Laboratory.
13. Karasaki, K., A. Cohen, P. Cook, B. Freifeld, K. Grossenbacher, J. Peterson, and D. Vasco. 1995. Hydrologic imaging of fractured rock. Proceedings of Materials Research Society Symposium 353, 379-386.
14. Kirkpatrick, S. 1984. Optimization by simulated annealing: Quantitative studies. Journal of Statistical Physics 34, no. 5/6: 975-986.
15. Kirkpatrick, S., C. D. Gelatt Jr., and M. P. Vecchi. 1983. Optimization by simulated annealing. Science 220, no. 4598: 671-680.
16. Long, J.C.S., K. Karasaki, A. Davey, J. Peterson, M. Landsfeld, J. Kemeny, and S. Martel. 1991. An inverse approach to the construction of fracture hydrology models conditioned by geophysical data. International Journal of Rock Mechanics and Mining Sciences & Geomechanics Abstracts 28, no. 2/3: 121-142.
17. Metropolis, N., A. Rosenbluth, M. Rosenbluth, A. Teller, and E. Teller. 1953. Equation of state calculations by fast computing machines. Journal of Chemical Physics 21, 1087-1092.
18. Mauldon, A. D., K. Karasaki, S. J. Martel, J. C. S. Long, M. Landsfeld, A. Mensch, and S. Vomvoris. 1993. An inversion technique for developing models for fluid flow in fracture systems using simulated annealing. Water Resources Research 29, no. 11: 3775-3789.
19. Najita, J., and K. Karasaki. 1995. Inversion of hydraulic well tests using cluster variable aperture simulated annealing. Lawrence Berkeley National Laboratory Report LBNL-39111. Berkeley, California: Lawrence Berkeley National Laboratory.
20. Pannatier, Y. 1996. VARIOWIN: Software for Spatial Data Analysis in 2D. New York: Springer-Verlag.
21. Press, W.H., B.P. Flannery, S.A. Teukolsky, and W.T. Vetterling. 1986. Numerical Recipes: The Art of Scientific Computing. New York: Cambridge University Press.
22. van Laarhoven, P.J.M., and E.H.L. Aarts. 1987. Simulated Annealing: Theory and Applications. Boston: D.Reidel Publishing Co.
23. Vasco, D.W., J.E. Peterson Jr., and E.L. Majer. 1996. A simultaneous inversion of seismic traveltimes and amplitudes for velocity and attenuation. Geophysics 61, no. 6: 1738-1757.
24. Williams, S.A., and A.I. El-Kadi. 1986. COVAR - A computer program for generating two-dimensional fields of autocorrelated parameters by matrix decomposition. Indianapolis, Indiana: International Groundwater Modelling Center, Holcomb Research Institute, Butler University.
25. Wolff, U. 1989. Collective Monte Carlo updating for spin systems. Physical Review Letters 62, no. 4: 361-364.