Modeling and Control of Petroleum Production

Overview

In the oil and gas industry, reservoir modeling and control are critical to optimizing production and maximizing recovery. This book provides a comprehensive and practical guide to these essential topics, covering both theoretical foundations and real-world applications.

Key Features

• Comprehensive coverage: This book covers a wide range of topics, including reservoir characterization, fluid flow modeling, wellbore hydraulics, and production optimization.
• Practical approach: The book is written in a clear and concise style, with a focus on practical applications. Numerous examples and case studies are provided to illustrate the concepts discussed.
• Up-to-date information: The book includes the latest advances in reservoir modeling and control, including the use of artificial intelligence and machine learning.

Benefits

By reading this book, you will gain a deep understanding of reservoir modeling and control, and you will be able to apply these techniques to optimize production and maximize recovery in your own operations.

Audience

This book is intended for petroleum engineers, reservoir engineers, and production engineers who are involved in the modeling and control of petroleum production. It is also a valuable resource for students who are studying petroleum engineering.

Table of Contents

• Part I: Reservoir Characterization
  • Chapter 1: Introduction to Reservoir Characterization
  • Chapter 2: Geological Data Acquisition and Analysis
  • Chapter 3: Petrophysical Properties
  • Chapter 4: Reservoir Fluid Properties
• Part II: Fluid Flow Modeling
  • Chapter 5: Introduction to Fluid Flow Modeling
  • Chapter 6: Darcy's Law and Single-Phase Flow
  • Chapter 7: Multiphase Flow
  • Chapter 8: Wellbore Hydraulics
• Part III: Production Optimization
  • Chapter 9: Introduction to Production Optimization
  • Chapter 10: Well Placement and Perforation Design
  • Chapter 11: Production Scheduling
  • Chapter 12: Artificial Lift Methods
• Part IV: Advanced Topics
  • Chapter 13: Reservoir Simulation
  • Chapter 14: Artificial Intelligence and Machine Learning in Reservoir Modeling and Control
  • Chapter 15: Case Studies

About the Author

Giovani Cavalcanti Nunes is a petroleum engineer with over 20 years of experience in the oil and gas industry. He has held various positions, including reservoir engineer, production engineer, and operations manager. He is currently a professor of petroleum engineering at the University of Texas at Austin.