Paper SPE-163726, presented at the SPE Digital Energy Conference, The Woodlands, Texas, March 5–7.
The hostile and uncertain environment in which sensors are used and the low priority typically given to regular calibration of these sensors are the primary reasons for poor quality drilling data. Today, online streaming of sensor data from primary sensors on a rig to a real-time data monitoring facility, and software to analyze this data in real-time and to detect trends and identify potential drilling problems long before they occur are all becoming commonplace. However, these applications require good quality data to perform accurate analysis and when data is not validated, false and missed alarms are the norm and cause supposedly autonomous software applications to require continuous human supervision. In this paper, a novel technique for real-time sensor data validation is proposed that improves the quality of data collected from the sensors on a rig.