Statistics and geology form a powerful partnership. Practicing engineers, geoscientists and hydrologists who are comfortable with both disciplines can understand and model geosystems much more accurately. With both sets of tools at their disposal, professionals can have much greater success in solving difficult interwell property distribution problemsand achieving higher recovery.
This text has two goals: to help practicing professionals and students understand the diagnostic potential of statistics for modeling fluid flow in reservoirs; and to introduce the important features of statistical modeling.
The book first presents extensive coverage of diagnostic topics from the geoscientist's point of view. This coverage includes histograms, averages, and confidence intervals. Topics discussed in detail include:
*Univariate and single-variable distributions
*Measures of heterogeneity and variability
*Estimators, their desirable properties, and potential biases
Once important aspects of geosystem behavior have been detected and quantified, the book presents a variety of modeling methods, notably linear regression, which has surprising utility, even for experienced professionals. Kriging, conditional simulation, analysis of spatial relationships, simulated annealing, and a variety of other methods are also reviewed.
A final chapter presents several field modeling studies, ranging from the highly deterministic to the strongly random, in which the combination of statistical diagnosis and geology was essential to the modeling approach chosen.
Real field and outcrop data sets are used throughout, and the book presents extensive guidance on interpreting statistical results properly, helping the practitioner recognize and avoid misleading results. LARRY W. LAKE is Professor at the Department of Petroleum and Geosystems Engineering at The University of Texas at Austin, and author of Enhanced Oil Recovery (Prentice Hall, 1989).
PATRICK W.M. CORBETT is Senior Lecturer at the Department of Petroleum Engineering, Herriot-Watt University.
DAVID J. GOGGIN is a Senior Research Scientist for Chevron Oil Field Technology, La Habra, California.
Introduces the essential features of statistical modeling and the diagnostic potential of statistics for modeling fluid flow in reservoirs, for petroleum engineers, geoscientists, and hydrologists. First covers diagnostic topics from the geoscientist's point of view, discussing univariate and single-variable distributions, and measures of heterogeneity and variability. Then presents various modeling methods such as linear regression, conditional simulation, and simulated annealing. A final chapter presents field modeling studies. Annotation c. Book News, Inc., Portland, OR (booknews.com)