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3rd Annual Machine Learning in Oil and Gas

Improve efficiency, safety and reduce costs with machine learning in oil and gas Machine learning has now become an integral part of the operations of most oil and gas companies, allowing them to gather large volumes of information in real-time and translate data sets into actionable insights. They now need to view data as an extremely valuable resource, with huge upside for companies with innovative, robust machine learning strategies.

In the ongoing ‘new norm’ low commodity price environment, saving time, reducing costs, boosting efficiencies and improving safety are all crucial outcomes that can be realized from using machine learning in oil and gas operations.

Investing in predictive technology to become more productive is easier said than done. What are the strategic considerations for adopting an artificial intelligence (AI) platform? How do you implement an AI platform seamlessly with other systems and ensure there’s no cost blowout? And what’s the guarantee for return on investment (ROI)?

The 3rd annual Machine Learning in Oil and Gas Conference will explore these challenges and more. Specialists from leading 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 also benchmark against industry best practice.

For more information, please visit www.machinelearning-oilandgas.com.

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2626 Sage Rd, Houston, TX 77056, USA

New SHOWCASE Directory Companies

 

Gardner Denver
T.A. Cook
Presto GeoSystems
STEP Energy Services