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The AAPG/Datapages Combined Publications Database
AAPG Special Volumes
Abstract
Herweijer, J. C., J. M. Yarus, and M. J. V. Suana, 
3-D
modeling workflows, 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:10.1306/1063825CA51040
2006 by The American Association of Petroleum Geologists.
Process-based Knowledge Management: Overview and Application of Iterative 3-D
Modeling Workflows
3-D Modeling Workflows
J. C. Herweijer,1 J. M. Yarus,2 M. J. V. Suana3
1Reservoir Team Ltd., Rundle Mall, Australia
2Quantitative Geosciences, LLP, Houston, Texas, USA
3Updip-EP, Brugg, Switzerland
ABSTRACT
This chapter presents an overview of current knowledge management practices in upstream oil and gas exploration and production, specifically for multidisciplinary project teams working with spatial modeling techniques. A process-based knowledge management methodology is defined that allows for continuous work on complex multiscenario models in a consistent, flexible, and shared manner under conditions where data are less than optimal, modeling techniques are poorly understood, and staffing assignments change before project completion.
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