Data Analytics in Upstream Oil and Gas

Operators in unconventional plays seem awash in data. How can this overwhelming amount of information be harnessed and used to reduce cost, improve safety, and increase production over the life of a field? The Data Analytics Virtual Conference addresses this critical question from the operator perspective and through the lens of predictive analytics, applied machine learning, the industrial internet of things, edge computing, and cloud storage. These tools, properly applied, can streamline processes, enhance data quality, and feed analytics models to inform real-time decisions in the field.

Distributive sensors, down-hole gauges, and flow meter generate huge amounts of data through legacy systems. This data becomes stranded if those systems cannot be integrated with other digital solutions.