Using AI to increase drilling operation efficiency.
April 2019 - July 2019
Running a drill site can be an expensive venture, especially in the event that drilling operations cease. The sheer volume of the data collected on site can hold millions of different values and can take a substantial amount of time to analyze. Because of the distance from the ground level, operators on site must determine the status of the drill through feel and experience, rather than being able to rely on visual cues. All these factors result in setbacks and it can be difficult to understand exactly what is happening without significant study.
Trax Electronics specializes in machine learning, automation, and monitoring digital data in the oil field. The company wanted a way to predict whether a drill was rotating, sliding or properly drilling in order to maximize drill site efficiency. With their current system, Trax Electronics could determine what happened after a three day window. In order to minimize this waiting period, Ryan Schmitz, the president of Trax Electronics, reached out to VizworX for a speedier solution.