Machine Learning in Oil & Gas 2019

In the wake of the low oil price environment, operators have had to discover new ways to improve operational efficiency, eliminate unplanned downtime, improve safety, and overall, reduce costs. Machine learning has made a significant impact on helping operating companies improve those metrics across the value chain. With increasingly large data sets in oil & gas, machine learning has gained global recognition as an opportunity to turn those large volumes of data into actionable insights.

Some companies are in the early stages of implementation, others are exploring how to get started, and others have established ongoing projects. At any stage, it is imperative that companies understand how they can maximize the value of machine learning applications in their operations and how they can embrace the future of machine learning.  The 4^th annual Machine Learning in Oil and Gas Conference will explore these challenges. Leading professionals from upstream, midstream, and downstream companies will come together to exchange insights on the latest developments in machine learning. Case studies and interactive panel discussions will enable delegates to benchmark against industry best practice.