Optimizing asset performance in refineries
Advanced analytics use machine learning to simplify user experience, generate process data insights.
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.
Predictive maintenance gains greater significance in oil and gas industry
GlobalData's report on predictive maintenance finds oil & gas companies are increasingly relying on it due to aging infrastructure and volatile crude pricing.
Predictive analytics group adds behavioral psychologist and analytics expert
OPEX Group named Eugene Burke as principal advisor for behavioral psychology to support their X-PAS smart behaviors service to help oil and gas operators improve the safety and predictability of offshore operations by managing the risks posed by human behavior.
What is rate-predictive control?
Advanced control: A new non-PID control algorithm, rate-predictive control (RPC), is adaptive to changes in process gain, which is helpful given the industry’s difficult history of loop tuning, auto-tuning, and model maintenance. RPC also can serve as a model-less feedback multivariable control algorithm.
AI application developers target well-site production optimization
Solutions range from predictive maintenance to artificial lift improvement.
Predictive analytics in the upstream introduced as a service
Solution identifies production and equipment problems before they become apparent.
With AI, zero failure is more than a pipe dream
Improve confidence with a complete view of data.
Basic steps to take when applying analytics processing
Upstream oil & gas operations improved using data analytics.
Bring IIoT capabilities to refineries and process plants
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.