Geostatistics for Natural Resources Evaluation

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Oxford University Press, 1997 - Science - 483 pages
This text fulfills a need for an advanced-level work covering both the theory and application of geostatistics. It covers the most important areas of geostatistical methodology, introducing tools for description, quantitative modeling of spatial continuity, spatial prediction, and assessment of local uncertainty and stochastic simulation. It also details the theoretical background underlying most GSLIB programs. The tools are applied to an environmental data set, but the book includes a general presentation of algorithms intended for students and practitioners in such diverse fields as soil science, mining, petroleum, remote sensing, hydrogeology, and the environmental sciences.


Inference and modeling
Accounting for a single attribute
Accounting for secondary information
Assessment of spatial uncertainty
The Jura data

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Page 474 - RM 1992. Reservoir characterization with probability field simulation. In SPE Annual Conference and Exhibition, Washington, DC, number 24753, pages 927-938, Washington, DC, Society of Petroleum Engineers.
Page 472 - Rossi. 1989. When do we need a trend model in kriging?
Page 470 - Voltz. 1992. Linear coregionalization model: Tools for estimation and choice of cross-variogram matrix. Mathematical Geology, 24(3):269-286.
Page 468 - Galli, A. and Meunier, G. (1987). Study of a gas reservoir using the external drift method. In: G. Matheron and M. Armstrong (eds.), Geostatistical Case Studies, 105-120.
Page 470 - P., 1993. Study of spatial and temporal variations of hydrogeochemical variables using factorial kriging analysis. In: Scares, A.
Page 470 - Haldorsen, HH, PJ Brand, and CJ Macdonald. 1988. Review of the stochastic nature of reservoirs. In S. Edwards and PR King, editors, Mathematics in Oil Production, pages 109-209. Clarendon Press, Oxford.
Page 473 - C., 1987, Conditional simulation of the geometry of fluvio-deltaic reservoirs: SPE Paper 16753, presented at the 62nd Annual Technical Conference and Exhibition of the SPE, Dallas.
Page 470 - Isaaks, EH 1984. Risk Qualified Mappings for Hazardous Waste Sites: A Case Study in Distribution-free Geostatistics.

About the author (1997)

Dr. Pierre Goovaerts is assistant professor in the Department of Civil and Environmental Engineering, the University of Michigan, Ann Arbor. He earned his Ph.D. in agricultural sciences at the Universite Catholique de Louvain in Belgium and he has been postdoctoral fellow in the Department ofGeological and Environmental Sciences at Stanford University.

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