PRO 512
Full Field Optimization for Gas-Lift Assets
Full Field Optimization for Gas-Lift Assets
COURSE SCHEDULE
| Code | Date | Location | price (€)* |
|---|---|---|---|
| PRO 512 | 4 - 8 Dec 2023 | Kuala Lumpur | 3990 |
| PRO 512 | 8 – 12 Jan 2024 | Online | 1990 |
| PRO 512 | 9 – 13 Sep 2024 | Online | 1990 |
| PRO 512 | 12 – 16 Aug 2024 | Abu Dhabi | 3990 |
| PRO 512 | 2 – 6 Dec 2024 | Kuala Lumpur | 3990 |
* 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!
COURSE OVERVIEW
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 due to interdependency between reservoir, wellbore and surface installation. This course will review full-field optimization concepts applicable to the gas lifted wells from subsurface to the surface. Through several guided exercises, participants will understand workflows of solving entire system using commercial software tools. The knowledge gained from this course will allow the participants to effectively analyze their gas lifted assets and implement optimization practices at component as well as system level over the lifetime of an asset.
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 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
Dr. Rajan Chokshi
Dr. Rajan Chokshi works as an artificial lift and production ‘Optimizer’ for Accutant Solutions, a consulting firm out of Houston, USA. He has over 34 years of experience working with a national oil company, research consortia, consulting and software firms, and a service company in various roles from engineer, software developer, project manager, trainer, consultant, and a senior business leader. Dr. Chokshi has worked on projects globally in the areas of multi-phase flow, artificial lift, production webinars and trainings, Dr. Chokshi continues to conduct workshops for practicing professionals globally in SPE and private forums. As an adjunct faculty, he has taught at Texas Tech, Missouri S&T, U of Southern California, and continues to teach at the U of Houston. He has served on various SPE committees like production & facilities advisory, global training and production awards. He is incoming chair of awards & recognition committee. He was co-chair of an SPE artificial lift workshop, and is co-chair of SPE forum on production issues in unconventional. He has been selected twice as an SPE Distinguished Lecturer for the 20152016 and 2018-2019 years.
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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