Petroleum Reservoir Modeling and Simulation: Geology, Geostatistics, and Performance Prediction

Petroleum Reservoir Modeling and Simulation: Geology, Geostatistics, and Performance Prediction

Author
Sanjay Srinivasan, Juliana Y. Leung
Publisher
McGraw Hill
Language
English
Edition
1
Year
2022
Page
464
ISBN
1259834298,9781259834295
File Type
epub
File Size
33.1 MiB

Reservoir engineering fundamentals and applications along with well testing procedures
This 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

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