To track drill rig performance, their equipment includes digital sensors that measure statistics such as torque, thrust, and drilling fluid pressure. Previously, this data was sent online to a table storage database on the Azure cloud platform for analysis.
This approach presented multiple significant challenges. Primarily, there was no way to buffer data on the rigs when there was a weak internet connection. This resulted in missing data sets which prevented the delivery of a complete diagnosis — especially if an issue occurred at the time the connection dropped — and led to added time to diagnose and fix problems.
Additionally, the analytics team was constrained by table storage, which greatly limited data extraction and visualization. As the business added more rigs, sensors, and data, it became apparent that a change was needed. With guidance from consileo, TRACTO chose Elastic Observability deployed on Elastic Cloud, as it alleviated connectivity issues thanks to the built-in fallback options of Elastic and the sophistication of the analysis tools.