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

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

Chapter 1 : Introduction
Chapter 2 : Spatial Correlation
Chapter 3 : Spatial Estimation
Chapter 4 : Spatial Simulation
Chapter 5 : Geostatistical Simulation Constrained to Higher-Order Statistics
Chapter 6 : Numerical Schemes for Flow Simulation
Chapter 7 : Gridding Schemes for Flow Simulation
Chapter 8 : Upscaling of Reservoir Models
Chapter 9 : History Matching - Dynamic Data Integration

Appendix A : Quantile Variograms
Appendix B : Some Details about the Markov-Bayes Model
Index