Full Field Optimization for Gas-Lift Assets (PRO 512)
Full Field Optimization for Gas-Lift Assets (PRO 512)
COURSE SCHEDULE
| Code | Date | Location | price (€)* |
|---|---|---|---|
| PRO 512 | 5 - 9 Jan 2026 | Online | 3300 |
| PRO 512 | 7 - 11 Sep 2026 | Online | 3300 |
| PRO 512 | 10 - 14 Aug 2026 | Abu Dhabi | 4400 |
| PRO 512 | 7 - 11 Dec 2026 | Kuala Lumpur | 4400 |
COURSE OVERVIEW
For assets where gas lift is the predominant artificial lift method, full-field optimization is essential due to the closed-loop and highly interdependent nature of the system. Reservoir performance, wellbore hydraulics, and surface facilities are closely linked and must be evaluated collectively to achieve optimal production results.
This course reviews full-field optimization concepts applicable to gas-lifted wells, covering the entire production system—from subsurface reservoir behavior to surface processing facilities. Emphasis is placed on understanding system interactions and identifying constraints that limit overall performance.
Through guided exercises, participants will learn practical workflows for analyzing and optimizing the integrated production system using commercial software tools. By the end of the course, attendees will be equipped to comprehensively assess gas-lifted assets and implement optimization strategies at both component and system levels throughout the asset lifecycle.
COURSE OUTLINE
5 days
DAY 1: INTRODUCTION TO SYSTEMS ANALYSIS & GAS WELL LOADING PROBLEM
o Lift Systems: Why, When and What
o Gas Lift: Main Characteristics
o Gas Lift Interdependencies
DAY 2: MODEL CONSTRUCTION
o Integrated Model construction
o Data Collection, Validation & Analysis
o Reservoir Model Building – Walkthrough
o Well Model Building – Walkthrough
o Surface Facilities Model Building – Walk Through
o Solving an Example Model
DAY 3 & 4: EXAMPLES ON SOLVING GAS LIFT ASSET MODELS: EXAMPLES 1-4 FORECASTING ASSET PERFORMANCE USING INTEGRATED MODELS
o Lift Forecasting and Benefits
o Forecasting Workflow
o Example Problem
DAY 5:REAL-TIME ASSET OPTIMIZATION
o What is Real-time Production optimization for gas lift asset
o Demo: Real-time system
INSTRUCTOR
Instructor Profile
Instructor works as an Artificial Lift and Production Optimization specialist. He brings over 34 years of experience across a national oil company, research consortia, consulting and software firms, and a service company, serving in roles including engineer, software developer, project manager, trainer, consultant, and senior business leader.
He has worked globally on projects involving multiphase flow, artificial lift, and production optimization, and regularly delivers webinars, workshops, and professional training programs through SPE and private forums.
As an Adjunct Faculty member, he has taught at Texas Tech University, Missouri University of Science & Technology, the University of Southern California, and currently at the University of Houston. He has served on several SPE committees, including Production & Facilities Advisory, Global Training, and Production Awards, and is the incoming Chair of the Awards & Recognition Committee. He has also co-chaired an SPE Artificial Lift Workshop and serves as co-chair of the SPE Forum on Production Issues in Unconventional Resources.
FAQ
DESIGNED FOR
Reservoir, production and facilities engineers; project and asset managers interested in improving performance of their assets.
COURSE LEVEL
o Intermediate
LEARNING OBJECTIVES
After completion of this course participants will learn:
o How to analyze gas lift assets
o How to implement optimization practices
PREREQUISITES
o Understanding of basic petroleum engineering concepts. Attendees should have petroleum engineering background or at least five years of working experience in the industry.
o For 3-5 days classes: Each participant needs to bring a laptop for solving class examples using software to be provided during class. Laptop needs to have a current Windows operating system and at least 500 MB free disk space. Participant should have administrator rights to install software.
o Familiarity with engineering design software is desired.
o Optionally a workshop component can be incorporated that utilizes client-supplied software and their well data for solving field problems. This option requires three days of consulting work prior to the training.
REGISTER
Registration is now OPEN!
* Prices are subject to VAT and local terms. Ph.D. students, groups (≥ 3 persons) and early bird registrants (8 weeks in advance) are entitled to a DISCOUNT!
For more details and registration please send email to: register@petro-teach.com
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