iksim: A fast algorithm for indicator kriging and simulation in the presence of inequality constraints, hard and soft data

Computers and Geosciences

Volumn 26, Issue 5, 2000, Pages 493-507

  Ying, Zhanjun ^a  

^a STANFORD UNIVERSITY   (United States)

Author keywords

Fast Fourier Transform; Indicator kriging; Inequality constraints; P field simulation; Spectral simulation

Indexed keywords

GEOSTATISTICS; KRIGING;

EID: 0034051948     PISSN: 00983004     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0098-3004(99)00132-6     Document Type: Article

References (9)

1. Alabert, F.G., 1987. Stochastic imaging of spatial distributions using hard and soft information. MSc thesis, Stanford University, Stanford, CA, 208 pp.
2. Borgman, L., Taheri, M., Hagan, R., 1984. Three-dimensional frequency-domain simulations of geological variables. In: Verly, G., David, M., Journel, A.G., Marechal, A. (Eds.), Geostatistics for Natural Resources Characterization, vol. 2. Reidel, Dordrecht, Holland, pp. 517-541.
3. Deutsch, C.V., Journel, A.G., 1998. GSLIB: Geostatistical Software Library and User's Guide, 2nd ed. Oxford University Press, New York, 369 pp.
4. Goovaerts, P., 1997. Geostatistics for Natural Resources Evaluation. Oxford University Press, New York, 483 pp.
5. Journel, A.G., 1983. Non-parametric estimation of spatial distributions. Mathematical Geology 15 (3), 445-468.
6. Journel, A.G., 1986. Constrained interpolation and qualitative information. Mathematical Geology 18 (3), 269-286.
7. Shmaryan, L., 1996. Fast probability field simulation with FFT. MSc thesis, Stanford University, Stanford, CA, 20 pp.
8. Srivastava, R.M. 1992. Reservoir characterization with probability field simulation. In: SPE Annual Conference and Exhibition, Washington, DC, Society of Petroleum Engineers, Washington, DC, pp. 927-938 SPE Paper Number 24753.
9. Yao, T., 1998. Conditional spectral simulation with phase identification. Mathematical Geology 30 (3), 285-308.