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EMore Simulator

Data collection

Both historical data and «in plant» experimentation contribute to the optimization

Collecting historical data

1. Identify pertinent variables

2. Search for preliminary data

3. Assess data integrity and worth

4. Clean data; early modeling is very effective to decide of data rightness

5. Recognize «where» additional historical data should be searched

6. Repeat until appropriate data variation has been achieved

7. Recognize «where» a few selective experiments would be profitable

Enlightened Experimentation

1. When required, carry out «in plant» experimentation

2. Learn from «free» historical data to minimize the number of «costly» experimental tests

3. Learn from both «accepted» and «rejected» results

4. Iterative selection of each experimental test to maximize the gain in new information

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