CMOST AI Tips
April 23rd, 2019
For faster history matching and optimization, use CMOST AI's Proxy Analysis tools to better understand parameter-objective function interactions.

Applicable for polynomial regression proxy | ✓ | ✓ | ✓ |
Applicable for neural network proxy | n/a | ✓ | ✓ |
Indicate effects in terms of absolute values | ✓ | n/a | n/a |
Indicate negative/positive effects | ✓ | n/a | n/a |
Indicate effects in terms of absolute mean and standard deviation | n/a | ✓ | n/a |
Indicate effects in terms of percentage of variance | n/a | n/a | ✓ |
Aggregate all effects (linear, non-linear, interaction) into one indicator | n/a | n/a | ✓ |
March 5th, 2019
Using CMOST AI, test different variable changes to know what will happen before the run is submitted.
- Build preliminary proxy models to begin predicting reservoir behavior
- Use the proxy dashboard to test a “What-if Scenario”
- Submit the experiment to the simulator to validate the results of the “What-if Scenario”