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Abstract

Herweijer, J. C., J. M. Yarus, and M. J. V. Suana, 2006, Process-based knowledge management: Overview and application of iterative 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. 313-324.

DOI:10.1306/1063825CA51040

Copyright copy2006 by The American Association of Petroleum Geologists.

Process-based Knowledge Management: Overview and Application of Iterative 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 Previous HitexplorationTop 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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