Geostatistical Modeling

We use geostatistical techniques to produce models of geologic heterogeneity. One methodology that we developed (with collaborators at Stanford) is a combination of a geologic process model and variogram-based and training image-based geostatistical techniques. It is a surface-based technique that produces the aquifer in stages, in a stacking process representing erosion and deposition.

This figure outlines a simplified methodology for this technique (see Michael et al, 2010, WRR):

geostatistical modeling workflow


Michael, HA, H Li, A Boucher, T Sun, J Caers, and SM Gorelick (2010) Combining geologic-process models and geostatistics for conditional simulation of 3-D subsurface heterogeneity, Water Resources Research, 46, W05527, doi: 10.1029/2009WR008414.


Michael, HA*, H Li, T Li, A Boucher, SM Gorelick, and J Caers, Combining methods for geologically-realistic reservoir simulation, Eighth International Geostatistics Congress, December 2008, Santiago, Chile.


CEOE School & Departments

School of Marine Science & Policy

Advancing the understanding, stewardship, and conservation of estuarine, coastal, and ocean environments.

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Department of Geological Sciences

Discovering how geological processes have operated over various time scales to create and influence the planet’s surface environments.

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Department of Geography

Investigating the interactions between people and the environment and the processes that explain the location of human and natural phenomena.

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College of Earth, Ocean, and Environment • 111 Robinson Hall • Newark, DE 19716 • USA • Phone: 302-831-2841
Geography: 302-831-2294 • Geology: 302-831-2569 • Marine Science and Policy: 302-645-4212 • E-mail:

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