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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 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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