PRO 505
Fundamentals of Integrated Production Modelling (IPM)
The course covers the fundamental topics in reservoir simulation near well bore, well design modeling, and coupling reservoir and well bore.
Fundamentals of Integrated Production Modelling (IPM)
COURSE SCHEDULE
| Code | Date | Location | price (€)* |
|---|---|---|---|
| PRO 505 | 20 - 24 Nov 2023 | Online | 1790 |
| PRO 505 | 22 - 26 Oct 2023 | Doha | 3990 |
| PRO 505 | 3 – 7 Jun 2024 | Online | 1990 |
| PRO 505 | 18 – 23 Nov 2024 | Online | 1990 |
| PRO 505 | 6 – 10 May 2024 | Stavanger | 3990 |
| PRO 505 | 21 – 25 Oct 2024 | Doha | 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
The course covers the fundamental topics in reservoir simulation near well bore, well design modeling, and coupling reservoir and well bore. We bring practical example that develop through the course. The course couples reservoir and production skills that help engineers to develop their own integrated production model.
The course provides special training on coupling reservoir and production modeling. We cover key aspects of near well region reservoir simulation, and as well as the well design modeling. By coupling reservoir and well models, you learn how the design of your well is affected by the reservoir flow dynamics. After the course, Engineers will gain a good understanding of the integrated production and asset modeling. Moreover, they can benefit from the instructor continuous supports to their related subjects and questions during or after the course.
COURSE OUTLINE
5 days
OUTLINE
o IPM concept
o Well Design
o Two phase flow in vertical wells
o Compositional tracking from reservoir to surface
o Use of proxy model to enhance the computation time
o Reservoir well bore modeling (different cases)
o Coupling reservoir, well and surface elements
o Field Development approach
o Integrating the cost model
o Sensitivity analysis
o Local and global optimization
o Flow Assurance and their effects on IPM
o Effect of pseudoization scheme on the optimization process
o EOS Conversion from reservoir to surface process.
INSTRUCTOR
Dr. Mohammad Ghasemi
Dr. Mohammad Ghasemi is a senior reservoir engineer/researcher with ~15 years of experience in variety of petroleum reservoir engineering projects. His recent research at Kuwait University includes the development of the flow pattern map for two-phase flow in a heavy oil system, and also the integrated modelling of asphaltene deposition in vertical wells. Dr. Ghasemi has worked for Petrostreamz as a senior reservoir engineer, and for NISOC and PERA as a reservoir engineer. Ghasemi was involved in vast range of reservoir engineering projects. His research interests include gas injection-EOR (enhanced oil recovery) for conventional and unconventional reservoirs, fluid characterization and EOS modelling, reservoir simulation, and integrated optimization. Dr. Ghasemi earned BS and MS degrees in petroleum engineering from the University of Petroleum Technology (PUT). He also holds master and PhD degrees from the University of Calgary and the Norwegian University of Science and Technology (NTNU), both in petroleum reservoir engineering.
FAQ
DESIGNED FOR
The course is designed for reservoir engineers, production and field engineers, process
engineers, and researchers who are dealing with phase behavior and fluid properties, complex
fluid system, EOR projects, reservoir simulations studies and flow assurance.
COURSE LEVEL
o Basic to Intermediate
LEARNING OBJECTIVES
The participants will learn:
• Analysis of fluid dynamics in vertical wells
• Numerical modeling near well bores
• Coupling reservoir, well model, and surface process
• Compositional tracking from reservoir to surface
• EOS conversion from reservoir to surface process.
• Integrating the cost model
• Global and local optimization
• Proxy modeling benefits
• And some insight on Flow assurance (Hydrate and Asphaltene)
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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