CMG Training:
CMOST for Thermal Applications
CMOST for Thermal Applications
Learn how to apply the capabilities of CMG’s History Matching & Optimization tool, CMOST-AI, to your simulation models to make well-informed engineering decisions, faster and with higher resolution.
This course is a review of four components of CMOST (Sensitivity Analysis, History Matching, Optimization, and Uncertainty Assessment) from a practical, applied approach.
After completing the course, you will be able to successfully apply CMOST optimization algorithms to simulate thermal EOR processes such as CSS and SAGD.
This course is a review of four components of CMOST (Sensitivity Analysis, History Matching, Optimization, and Uncertainty Assessment) from a practical, applied approach.
After completing the course, you will be able to successfully apply CMOST optimization algorithms to simulate thermal EOR processes such as CSS and SAGD.
Course Content
- Introduction to the four components of CMOST:
- Sensitivity analysis
- History matching
- Optimization
- Uncertainty assessment
- CMOST Studio
- How to create the CMOST data files, i.e. master data set, and study files
- Hands-on exercise using CMOST for conventional and tight reservoirs
- Experimental design theory and implemented correlations
- Optimization and history matching methods including proxy-modelling optimization
For inquiries regarding CMG training courses, please contact us by
Email or Phone at +1.403.531.1300.
Email or Phone at +1.403.531.1300.
Meals and refreshments are included in all course fees
Please Note: In order to register for CMG courses, please click here to login to your online account, or click the icon above
| Course Date | |
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| Wednesday, 13 November, 2019 - 08:30 to Friday, 15 November, 2019 - 16:30 |
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| Course Date | |
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| Wednesday, 30 October, 2019 - 08:30 to Friday, 1 November, 2019 - 16:30 |
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| Course Date | |
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| Monday, 21 October, 2019 - 08:30 to Tuesday, 22 October, 2019 - 16:30 |
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| Wednesday, 11 December, 2019 - 08:30 to Thursday, 12 December, 2019 - 16:30 |
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| Monday, 10 February, 2020 - 08:30 to Tuesday, 11 February, 2020 - 16:30 |
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