Gas Lift Systems Design & Optimization : A Modern Modeling Approach

This book captures how to optimize gas lifted fields using various modeling tools and communications technologies. This book presents a holistic design that assures a comprehensive system methodology. To help achieve the goals of production optimization, this text examines certain vital concepts such as - fluid properties and inflow capacities, gas lift design options, gas lift supply and production gathering facilities as well as operation of processing equipment. Furthermore, various field management strategies are demonstrated in this solid approach, which will enable engineers to apply and achieve many key performance indicators in field operations.

A technical book that covers all aspects of production optimization of gas lift systems, it details efficient and practical ways of designing and managing gas lifted network systems from a field perspective. Gas lift system optimization methods described herein establish that superior economic benefits can be achieved if each component of the whole network is reviewed and optimized, instead of optimizing the well performance alone. Additionally, the book highlights the use of artificial intelligence, machine learning, and data science technologies that are available today to take asset optimization to greater heights and extend its benefits. The author brings to the table his 30 years of leading-edge insight and practical know-how, which will equip the reader with the wisdom to embark on field gas lift system optimization using modern, pragmatic, applied, and proven methods.

Features and Benefits

• How to improve performance of the production network by modeling every component of the network, including wells, and using the model-based optimization to run gas lift operations at peak efficiency.
• How to make use of powerful real-time data visualization to identify underperforming components of gas lift networks.
• How to utilize data transparency and transform asset operations into a collaborative working environment.
• How to optimize gas lifted wells, with special emphasis on unconventional reservoirs and deepwater gas lift operations.
• How to apply big data analytics, neural networks, and machine learning technologies to improve equipment reliability and plant availability.
• How to integrate various assets linked to the hydrocarbon chain to identify synergies and promote inter-asset optimization.

Audience

• Engineers
• Field level personnel
• Management
• Energy lending and finance professionals
• Anyone who seeks to understand how, or relies upon, energy markets
• Students

List of Figures
List of Tables
Author's Note
Foreword
Acknowledgements
Outline of the Book

Chapter 1 : Introduction to Gas Lift Network Optimization
Chapter 2 : Network Optimization Becoming a Reality
Chapter 3 : Modeling of Network Components
Chapter 4 : Running the System Optimization Model
Chapter 5 : System Modeling and Optimization Case Histories
Chapter 6 : Real-time Optimization
Chapter 7 : Optimization of Unconventional and Subsea Gas Lift Wells
Chapter 8 : Data Analytics and System Optimization
Chapter 9 : Digital Integration of Assets

Appendix
A1 : List of References
A2 : Data Required for Network Modeling
A3 : Net Present Value
List of Abbreviations
Index