Full Field Optimization For Gas-Lift Assets
Disciplines: Production and Operations
For assets having gas-lift as a predominant form of artificial lift, the full field optimization is essential due to the closed-loop nature of the system with significant interdependence amongst reservoir, wellbore and surface installation. This course will review full-field optimization concepts applicable to the gas lifted wells from subsurface to the surface. The participants will understand workflows of solving entire system using commercial software tools.
Gas lift is the most forgiving lift method in that it continues to work over a wide suboptimal operating range without showing any symptoms of malfunctions. Single well-based optimization practices help improve the situation, but the entire field-based approaches are essential for improved production performance. This course informs participants on various optimization workflows available through commercial software packages without focusing on any particular software.
Reservoir, production and facilities engineers; project and asset managers interested in improving performance of their assets.
- Understanding of petroleum engineering concepts. Attendees should have petroleum engineering background or at least five years of working experience in the industry.
- Familiarity with engineering design software is desired.
- Participants should bring a laptop with Microsoft Excel to solve class exercises.
.8 CEUs (Continuing Education Units) are awarded for this 1-day course.
All cancellations must be received no later than 14 days prior to the course start date. Cancellations made after the 14-day window will not be refunded. Refunds will not be given due to no show situations.
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SPE reserves the right to cancel or re-schedule courses at will. Notification of changes will be made as quickly as possible; please keep this in mind when arranging travel, as SPE is not responsible for any fees charged for cancelling or changing travel arrangements.
We reserve the right to substitute course instructors as necessary.
Dr. Rajan Chokshi has over 35 years' work-experience in multiphase flow, artificial lift, real-time production optimization and software development/management. His current work is focused on a variety of use cases like failure prediction, virtual flow rate determination, wellhead integrity surveillance, corrosion, equipment maintenance, DTS/DAS interpretation.
Chokshi has worked for national oil companies, majors, independents, and service providers globally. He has multiple patents and SPE papers and has delivered a multitude of industry presentations. He continues to teach for SPE, university, and professional forums. Twice selected as an SPE distinguished lecturer, he also volunteers on SPE committees. He has PhD in Petroleum from the University of Tulsa and master's in chemical from IIT-Kanpur, India.