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”