Full Field Optimization For Gas-Lift Assets


Disciplines: Production and Operations

Course Description

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.

Learning Level

Intermediate

Course Length

1 Day

Why Attend

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.

Who Attends

Reservoir, production and facilities engineers; project and asset managers interested in improving performance of their assets.

Special Requirements

  • 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.

CEUs

.8 CEUs (Continuing Education Units) are awarded for this 1-day course.

Cancellation Policy

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.

Training sessions attached to SPE conferences and workshops follow the cancellation policies stated on the event information page. Please check that page for specific cancellation information.

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.

Instructor

None

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.

Other courses by this instructor

Artificial Lift
Dr. Rajan Chokshi

This course will help develop a solid foundation in all forms of lift and the concepts of the selection process to maximize production and return on investment.

Topics:

  • Advantages and...
(Read More)

Disciplines: Production and Operations

Artificial Lift and Production Optimization Solutions
Dr. Rajan Chokshi

This course is designed to give trainees an overview of various artificial lift solutions and related production optimization concepts. After introducing participants to the need for an artificial lift system, training will focus on each of the follo...

(Read More)

Disciplines: Production and Operations

Data Analytics for Artificial Lift
Dr. Rajan Chokshi
Dr. Patrick Bangert

In this hands-on course, the participants will learn some of the techniques and workflows applied to artificial lift and production while reviewing code and practicing. The focus will be on the development of data-driven models while reviewing the unde...

(Read More)

Disciplines: Data Science and Engineering Analytics | Production and Operations