Optimal experiment design: Cross-borehole tomographic examples

Geophysical Journal International

Volumn 136, Issue 3, 1999, Pages 637-650

  Curtis, Andrew ^a,b  

^a SCHLUMBERGER CAMBRIDGE RESEARCH   (United Kingdom)

^b UTRECHT UNIVERSITY   (Netherlands)

Author keywords

Cross borehole tomography; Experiment; Information; Optimal design; Survey

Indexed keywords

CROSSHOLE SEISMIC METHOD; OPTIMIZATION; SEISMIC TOMOGRAPHY;

EID: 0032891844     PISSN: 0956540X     EISSN: None     Source Type: Journal    
DOI: 10.1046/j.1365-246X.1999.00749.x     Document Type: Article

References (15)

1. Barth, N. & Wunsch, C., 1990. Oceanographic experiment design by simulated annealing, J. Phys. Ocean., 20, 1249-1263.
2. Box, G.E.P. & Lucas, H.L., 1959. Design of experiments in non-linear situations, Biometrika, 46, 77-90.
3. Curtis, A. & Snieder, R., 1997. Reconditioning inverse problems using the genetic algorithm and revised parameterization, Geophysics, 62, 1524-1532.
4. Holland, J.H., 1975. Adaptation in Natural and Artificial Systems, University of Michigan Press.
5. John, R.C. & Draper, N.R., 1975. D-optimality for regression designs: a review, Technometrics, 17, 15-23.
6. Kijko, A., 1977. An algorithm for the optimum distribution of a regional seismic network - I, Pageoph, 115, 999-1009.
7. Matsu'ura, M. & Hirata, N., 1982. Generalized least-squares solutions to quasi-linear inverse problems with a priori information, J. Phys. Earth, 30, 451-468.
8. Maurer, H. & Boerner, D.E., 1998. Optimized and robust experimental design: a non-linear application to EM sounding, Geophys. J. Int., 132, 458-468.
9. Menke, W., 1992. Geophysical Data Analysis: Discrete Inverse Theory, (revised edn), International Geophysics Series, 45, Academic Press, Harcourt Brace, Jovanovich.
10. Press, F., Flannery, B.P., Teukolsky, S.A. & Vetterling, W.T., 1992. Numerical Recipes in FORTRAN, the Art of Scientific Computing. 2nd edn, Cambridge University Press, Cambridge.
11. Rabinowitz, N. & Steinberg, D.M., 1990. Optimal configuration of a seismographic network: a statistical approach, Bull. seism. Soc. Am., 80, 187-196.
12. Sambridge, M. & Drijkoningen, G., 1992. Genetic algorithms in seismic wave-form inversion, Geophys. J. Int., 109, 323-342
13. Smith, M.L., Scales, J.A. & Fischer, T.L., 1992. Global search and genetic algorithms, Leading Edge, January, 22-26.
14. Steinberg, D.M., Rabinowitz, N., Shimshoni, Y. & Mizrachi, D., 1995. Configuring a seismographic network for optimal monitoring of fault lines and multiple sources, Bull. seism. Soc. Am., 85, 1847-1857.
15. Wald, A., 1943. On the efficient design of statistical investigations, Ann. Math. Stat., 14, 134-140.