07/06/17

What sensor data are validated?

Through use of the Bayesian network model, we validate the following sensor data: hook load, standpipe pressure, flow in, flow out, total mud volume, block position, torque and RPM.

07/06/17

How is data cleansed?

The backend engine can detect and replace missing data, outliers, or biased (drifting) data with model-predicted values. Identification of missing data and outliers is elementary and is done first. We then use a physics-based Bayesian network model to validate the sensor values against the model-predicted values. When we determine drift or bias to be above…