AI & Machine Learning
Overcome the obstacles facing the oil & gas industry with the Internet of Things (IoT), which has had a major impact.
Artificial intelligence (AI) techniques are helping control and maintenance effectiveness, and an application demonstration shows how process simulation and machine teaching builds AI-based controllers to resolve industry problems, as shown in an Oct. 21 Virtual Training Week course.
Artificial intelligence (AI) and machine learning (ML) are moving into operations, in the oil & gas industry and beyond.
When other methods fail, AI is a critical finding and solving tool
Siemens Large Drive Applications delivered a drive train, which includes artificial intelligence and machine learning to Deer Park Refinery located in Houston, Tex., one of the nation's largest refineries.
MIT Professor Aleksander Madry strives to build machine-learning models that are more reliable, understandable and robust.
Researchers at UW-Madison have found a way to speed up the process of finding suitable reaction conditions using machine learning, which may help the era of biofuels come a little bit sooner.
Artificial intelligence (AI) might not seem critical for the oil & gas industry, but it can improve safety and efficiency for companies on a critical and even basic level.
Topaz Energy and Marine signed a long-term agreement and placed an order with Baker Hughes to collaborate on deploying BHGE’s lubricant condition monitoring system.
Machine learning and other advanced technologies are embedded in advanced analytics software to empower engineers and other experts.