Description
A specialized professional book that covers all aspects of production optimization of gas lift systems. 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.
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. It details efficient and practical ways of designing and managing gas lifted network systems from a field perspective. 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
About the Author
Manickavasakan S. Nadar (or Manickam) is a well-known expert specializing in the field of petroleum production engineering and operations, artificial lift, system modeling, and optimization. With his rich hands-on experience in the areas of exploration and production (both offshore and onshore), his insights always include the field perspective. With over three decades of experience, including lead roles with Conoco, Margham Dubai, and Weatherford, he serves as a senior consultant and professional trainer in petroleum engineering. His list of clients includes, Dubai Petroleum, ONGC, Cairn Energy, OMV, PetroSkills and many more. A strong believer in combining human creativity and using modern technology to achieve superior results, Manickam has helped clients move their offline production optimization to real time, sustaining huge benefits of optimization - including increased profits, reduced downtime, and energy savings. Manickam holds a Bachelor of Sciences in Chemistry from Madurai University, India, and a degree in Chemical Engineering from the Institution of Engineers (India). With several SPE papers and textbook publications to his credit, he has conducted many workshops, training seminars and short courses for SPE and other organizations.
Details
Type: Hardcover
Size: 6x9
Pages: 297
Published: April 2022
ISBN: 9781955578028
