# AI News, Machine Learning Wonder!

- On Wednesday, October 17, 2018
- By Read More

## Machine Learning Wonder!

I took a very broad and difficult question, although one that should have had a finite answer, and used some SCADA data to train a model that would be able to predict unplanned downtime in a well far enough ahead as to be able to send out an engineer to apply preventative maintenance.

My hypothesis, formed after analysis of literally millions of rows of data, is that AI was able to determine, based on highly effective and productively tuned wells, that attempts by the well to adjust itself in response to SCADA results were met frustratingly by inconsistent next hour readings. For this reason, the model threw extreme outliers in terms of 'Danger Scores' as it had learned that a well was appropriately tuned to adjust in response to information it received from below the earth.

- On Friday, January 18, 2019

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