Solutions range from predictive maintenance to artificial lift improvement.
Improve confidence with a complete view of data.
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.
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.
Speakers at Schneider Electric's Digital Innovation Summit discussed how to help people through improved energy efficiency and information control.
Researchers at MIT have developed robots no bigger than a cell to monitor conditions inside an oil and gas pipeline and gather information.
Seven image characteristics, singly and combined, are used to recognize amorphous gas clouds.
Questions are answered through an application example that applies machine learning to tubular connection analysis
The first step to bringing fieldbus networking and the Industrial Internet of Things (IIoT) into process manufacturing plants and refineries may be changing device-level networking practices.
SDT340, together with UAS4.0, is a cloud connected condition monitoring solution that combines the power of ultrasound, vibration, temperature, and RPM in one diagnostic package.