AI & Machine Learning
AI, controls and the future of maintenance
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.
AI/ML goes mainstream
Artificial intelligence (AI) and machine learning (ML) are moving into operations, in the oil & gas industry and beyond.
Artificial intelligence identifies process abnormality causes
When other methods fail, AI is a critical finding and solving tool
Drive train with AI, machine learning delivered to refinery
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.
Doing machine learning the right way
MIT Professor Aleksander Madry strives to build machine-learning models that are more reliable, understandable and robust.
Machine learning speeds up biofuel production process development
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.
Three reasons why implementing AI in the oil & gas industry is essential
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.
Tackling marine AI applications
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.
Refineries need machine learning to improve operations
Machine learning and other advanced technologies are embedded in advanced analytics software to empower engineers and other experts.
With AI, zero failure is more than a pipe dream
Improve confidence with a complete view of data.