MIT Professor Aleksander Madry strives to build machine-learning models that are more reliable, understandable and robust.
Data from two complementary monitoring technologies enable maximized production rates, even with high entrained solids.
Maximizing process plant profits requires close integration across all levels of an organization.
Railcar-supplied terminals make the delivery process more cost-effective for local and regional propane providers.
Advanced analytics use machine learning to simplify user experience, generate process data insights.
Machine learning and other advanced technologies are embedded in advanced analytics software to empower engineers and other experts.
Analytics improve performance of remote assets.
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.
Upstream oil & gas operations improved using data analytics.
A panoply of solutions powered by artificial intelligence.