The Geostatistics/Geomathematics program involves faculty from several departments at Stanford. Its focus is the development and statistical validation of numerical models to characterize the distribution in time and space of earth sciences phenomena. Geostatistical models aim to integrate physical constraints, combine multiple data sources, and characterize uncertainty. Applications include modeling geological heterogeneities in hydrocarbon and mineral deposits, space-time characterization of air quality, the distribution of pollutants in soil, land use change using satellite data, rainfall models, and general circulation model intercomparisons.

Faculty include Jef Caers (Petroleum Engineering), Andre Journel (Geological and Environmental Sciences, Petroleum Engineering), Tapan Mukerji (Geophysics) and Paul Switzer (Geological and Environmental Sciences, Statistics).

Links within this research area:

• Stanford Center for Reservoir Forecasting (SCRF).

Selected publications:

• Deustch, C.V. and Journel, A.G., 1998. GSLIB: Geostatistical Software Library and User’s Guide. Oxford Press, New York, 369p.
• Caers, J., Avseth, P. and Mukerji, T., 2001. Geostatistical integration of rock physics, seismic amplitudes and geological models in North-Sea turbidite systems. The Leading Edge, 20-3, p. 308-312.
• Strebelle, S., 2002. Conditional simulation of complex geological structures using multiple-point statistics: Mathematical Geology, vol.34, no.1, p.1-21.
• Journel, A.G. and Kyriakidis, Ph., 2004. Evaluation of Mineral Reserves: A Simulation approach. Oxford Press, New York, 216p.
• Eidsvik, J., Switzer, P. and Mukerji, T., 2004. Estimation of Geological Attributes from a North Sea Well Log: An Application of Hidden Markov Chains. Mathematical Geology pp379-388.
• Pebesma, E., Switzer, P. and Loague, K., 2005. Error Analysis for the Evaluation of Model Performance: Rainfall-Runoff Time Series. Hydrologic Processes, p. .
• Caers, J., 2005. Petroleum Geostatistics. Soc.Pet.Eng. Richardson, Tx., 88p.
• Zhang, T., Switzer, P. and Journel, A.G., 2006.Filter-base classification of training image patterns for spatial simulation: Mathematical Geology, vol.38, no.1.
• Polyakova, J., Journel, A., Polyakov, I., Bhatt, U., 2006. Changing relationship between the North Atlantic oscillation and key North Atlantic climate parameters: Geophysical Research Letters, vol.33.