SAGD and Solvent-SAGD Design and Analysis in Thermal Recovery (RES 424)
SAGD and Solvent-SAGD Design and Analysis in Thermal Recovery (RES 424)
COURSE SCHEDULE
| Code | Date | Location | price (€)* |
|---|---|---|---|
| RES 424 | 18 - 19 Mar 2026 | Online | 1320 |
| RES 424 | 4 - 5 May 2026 | Online | 1320 |
| RES 424 | 11 - 12 Jun 2026 | Amsterdam | 1760 |
| RES 424 | 12 - 13 Nov 2026 | Kuala Lumpur | 1760 |
COURSE OVERVIEW
PetroTeach offers a comprehensive course on the understanding and design of Steam-Assisted Gravity Drainage (SAGD) and Solvent-SAGD processes in thermal recovery applications. The course includes extensive in-class problem-solving sessions, enabling participants to apply concepts through practical exercises. By the end of the program, attendees will be able to analyze and critically interpret SAGD and solvent-SAGD evaluations performed by others.
This two-day course is designed to provide a complete understanding of SAGD production mechanisms, Steam-Oil Ratio (SOR) evaluation, and the application of solvent technologies in thermal recovery processes.
Day 1 introduces Butler’s assumptions and the underlying mathematical framework of SAGD, including its limitations. The session also briefly reviews alternative studies addressing SAGD oil production and SOR performance. Practical examples are solved using Excel spreadsheets to reinforce analytical understanding.
Day 2 focuses on thermodynamics and pressure–volume–temperature (PVT) behavior relevant to thermal processes, including parameter tuning to match laboratory data. Analytical oil rate prediction models—such as the Butler-Mokrys (1989) and Dunn-Nenniger-Rajan (1989) models—are discussed and compared. Participants gain a solid foundation in both theoretical and applied aspects of SAGD and solvent-assisted thermal recovery.
COURSE OUTLINE
2 days
Day 1
o SAGD Heat Transfer
o Different temperature models
o Butler Temperature Model
o Sharma Gates Convection Model
o Irani and Ghannadi Convection Model
o Butler Production & Plateau Model
o Butler Ramp-up Model
o Discussion on Steam Interface
om exponent factor discussion
o SOR Discussion: Heat conservation concept
o Reis SOR Model
o Edmunds and Peterson (2007)
o Miura and Wang (2012) Model
Introduction to thermodynamics and PVT
Day 2
o Clausius-Clapeyron Equation, Dalton’s law, Henry’s Law and Raoult’s law
o Numerical solution to practical examples such as temperature reduction in chamber and temperature reduction at Azeotropic point in ES-SAGD process.
o Pure Solvent Modelling
o Butler-Mokrys and Dunn-Nenniger-Rajan models
o Steam-Solvent Modelling
o Gupta-Gittins and Rabiei–Harding–Abedi models
o Production Challenges in Solvent Operation
o Liquid-pool model and concept
Steam trap control for Nsolv
INSTRUCTOR
Instructor Profile
Instructor is the Director of Ashaw Energy Ltd., where he specializes in the design and optimization of Steam-Assisted Gravity Drainage (SAGD) operations and advanced near-wellbore modeling for SAGD wells. He is actively involved in developing software solutions that enable operators to optimize subcool control, manage steam chamber hot spots, and improve flow control device (FCD) designs in heterogeneous reservoirs. He is the author of a trilogy of papers titled “On Subcool Control in Steam-Assisted Gravity Drainage Producers.” Previously, he held technical and supervisory roles with Cenovus Energy, Suncor Energy, RPS Energy, and C-FER Technologies. He has published and presented more than 40 technical papers on various aspects of SAGD operations. He holds a Ph.D. in Petroleum Engineering (University of Calgary, 2017) and a Ph.D. in Geomechanics (University of Alberta, 2012), as well as three Master’s degrees in Petroleum Engineering, Geotechnical Engineering, and Structural Engineering.
FAQ
DESIGNED FOR
Reservoir and production engineers, reservoir simulation engineers, technology development leaders that are involved in forecasting and evaluation of new SAGD applications and solvent applications for thermal recovery development and design.
COURSE LEVEL
Intermediate to Advance
LEARNING OBJECTIVES
Participants will learn:
o Heat transfer in SAGD operation.
o Limitations of Butler and other analytical models.
o Assumptions made in SAGD analytical models.
o Optimizations made in forecasting models.
o Fundamentals of phase behavior.
o simple phase-equilibria calculations.
o Assumptions made in solvent analytical models for oil rate prediction.
o Benefits and limitations of pure-solvent and steam-solvent processes
REGISTER
Registration is now OPEN!
Ph.D. students, group and early bird registrants are eligible to DISCOUNT!
For more details and registration please send email to: register@petro-teach.com
REQUEST IN HOUSE
Would you like a PetroTeach training course delivered at a time or location to suit you?
click for request in house