Drilling is one of the most critical, dangerous, complex and costly operations in the oil and gas industry. As such, there’s a pressing need not only to improve drilling efficiency but also to predict and prescribe against future problems, such as equipment failures or stuck pipes.1 Embedded sensors, connected to the industrial internet of things (IIoT), have increased the granularity and frequency of data collected during the drilling process – but the data is often siloed and underutilized. This lack of integration can lead to expensive, time-consuming problems during the drilling process. Inefficient drilling programs can have an even greater aggregate financial impact, causing cost over-runs, delays in well completions and production on-stream dates, unexpected shutdowns and accidents.
