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Abstract
Coburn, T. C., P. W. M. Corbett, A. Datta-Gupta, J. L. Jensen, M. Kelkar, D. S. Oliver, and C. D. White , 
petroleum
, production, and reservoir engineering, in T. C. Coburn, J. M. Yarus, and R. L. Chambers, eds., Stochastic modeling and geostatistics: Principles, methods, and case studies, volume II: AAPG Computer Applications in Geology 5, p.
DOI:10.1306/1063804CA51306
2006 by The American Association of Petroleum Geologists.
A Virtual Conversation on the Impact of Geostatistics in Petroleum, Production, and Reservoir Engineering
Petroleum, Production, and Reservoir Engineering
T. C. Coburn,1 P. W. M. Corbett,2 A. Datta-Gupta,3 J. L. Jensen,4 M. Kelkar,5 D. S. Oliver,6 C. D. White7
1Abilene Christian University Abilene, Texas, U.S.A.
2Heriot-Watt University Edinburgh, Scotland, United Kingdom
3Texas A
M University College Station, Texas, U.S.A.
4Texas AM University College Station, Texas, U.S.A.
5University of Tulsa Tulsa, Oklahoma, U.S.A.
6University of Oklahoma, Norman, Oklahoma, U.S.A.
7Louisiana State University, Alexandria, Louisiana, U.S.A.
ABSTRACT
Throughout the years, geostatistics has greatly influenced the broad spectrum of petroleum and earth sciences. In a directed conversation, five experts from respected university petroleum engineering departments discuss the impact of geostatistics on petroleum, production, and reservoir engineering
and debate the current state of the art of geostatistical methodology in these disciplines.
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