AI & Machine Learning
Should assets be monitored in-house or in the cloud?
Wireless sensors and specialized software deliver options for improved effectiveness.
Notes from the edge
Companies are looking to take advantage of the high demand for Industrial Internet of Things (IIoT) from oil & gas customers.
High-speed engine monitoring IIoT-enhanced
Analytics improve performance of remote assets.
AI application developers target well-site production optimization
Solutions range from predictive maintenance to artificial lift improvement.
With AI, zero failure is more than a pipe dream
Improve confidence with a complete view of data.
Engineers program marine robots with algorithm to take calculated risks
MIT researchers have developed an algorithm that could help autonomous underwater vehicles (AUVs) explore risky marine environments, which could be beneficial for future offshore oil & gas exploration.
Most-viewed articles on Oil & Gas Engineering for 2018
Oil & Gas Engineering's most clicked articles in 2018 included stories about the 2018 Product of the Year award winners, machine learning for tubular connection and smarter pipeline maintenance, shale-field flowmeter advances, and the benefits of slow roll for electric motors. Miss something? You can catch up here.
Energy, info make the world go ‘round and ‘round
Speakers at Schneider Electric's Digital Innovation Summit discussed how to help people through improved energy efficiency and information control.
Cell-sized robots monitoring pipelines
Researchers at MIT have developed robots no bigger than a cell to monitor conditions inside an oil and gas pipeline and gather information.
Machine learning-based gas recognition detects minor leakage
Seven image characteristics, singly and combined, are used to recognize amorphous gas clouds.