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Chapter from:
AAPG Memoir 71: Reservoir Characterization-Recent Advances
Edited by Richard A. Schatzinger and John F. Jordan
Copyright 
1999 by The American Association of
Petroleum Geologists. All rights reserved.
Memoir 71, Chapter 10: Reducing Uncertainty in Geostatistical Description with
Well-Testing Pressure Data , by Albert C. Reynolds, Nanqun He, and Dean S. Oliver , Pages
149 - 162
Chapter 10
Reducing Uncertainty in Geostatistical Description
with Well-Testing Pressure Data
Albert C. Reynolds
Department of Petroleum Engineering, University of Tulsa
Tulsa, Oklahoma, U.S.A.
Nanqun He
Chevron Petroleum Technology Company
La Habra, California, U.S.A.
Dean S. Oliver
Department of Petroleum Engineering, University of Tulsa
Tulsa, Oklahoma, U.S.A.
ABSTRACT
Geostatistics has proven to be an effective tool for generating realizations of
reservoir properties conditioned to static data (for example, core and log data, and
geologic knowledge); however, in situations when data are not closely spaced in the
lateral directions, there will be significant variability in reservoir descriptions
generated by geostatistical simulation (that is, significant uncertainty in the reservoir
descriptions). Procedures based on inverse problem theory were previously presented for
generating reservoir descriptions (rock property fields) conditioned to pressure data and
to geostatistical information represented by prior means and variograms for
log-permeability and porosity. Although it has been shown that incorporation of pressure
data reduces the uncertainty below the level contained in the geostatistical model based
only on static information (the prior model), these previous results did not explicitly
account for uncertainties in the prior means and the parameters defining the variogram.
