Analytics
Improving offshore safety with increased mindfulness
A partnership among University of Houston researchers and energy companies, Diamond Offshore Drilling and Baker Hughes, will examine whether simple exercises designed to increase mindfulness can reduce potential safety risks associated with offshore operations.
Asset management is increasingly important for oil and gas companies
Asset management is obtaining greater relevance in enhancing operational efficiencies for oil and gas companies, according to a GlobalData report.
Active analytics can drive better business decisions
With a GPU-accelerated database, organizations evaluate larger data sets.
Digital twins, engineering future of automation
Rapid growth of data collection make rapid expansion of digital twins more likely to add automation, supply chain efficiencies and optimization.
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.