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Reservoir engineering fundamentals and applications along with well testing proceduresThis practical resource lays out the tools and techniques necessary to successfully construct petroleum reservoir models of all types and sizes. You will learn how to improve reserve estimations and make development decisions that will optimize well performance. Written by a pair of experts,
Petroleum Reservoir Modeling and Simulation: Geology, Geostatistics, and Performance Prediction offers comprehensive coverage of quantitative modeling, geostatistics, well testing principles, upscaled models, and history matching. Throughout, special attention is paid to shale, carbonate, and subsea formations.
Coverage includes:
- An overview of reservoir engineering
- Spatial correlation
- Spatial estimation
- Spatial simulation
- Geostatistical simulation constrained to higher-order statistics
- Numerical schemes for flow simulation
- Gridding schemes for flow simulation
- Upscaling of reservoir models
- History matching
- Dynamic data integration
About the author
Juliana Y. Leung is Associate Professor in the Civil and Environmental Engineering Department at the University of Alberta. She is a registered professional member with the Association of Professional Engineers and Geoscientists of Alberta.
Sanjay Srinivasan is Professor of Petroleum and Natural Gas Engineering at Penn State University and holds the John and Willie Leone Family Chair in Energy and Mineral Engineering. He is a member of the International Association for Mathematical Geosciences, the Society of Exploration Geophysicists, and the Society of Petroleum Engineers.
