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.

Growing role of human/machine interaction in risk management

A risk management evaluation for safety-critical equipment (SCE), including use of a risk matrix, is fundamental to controlling operating hazards, but even proven industry hazard determination templates won’t work with outdated data.

Manage information based on each well’s lifecycle

A single source of truth can improve time-to-revenue.

Digital twins support FPS asset integrity management

Strength comes from global performance model integrated with measured data.

Asset platform for enhancing process manufacturing applications

TrendMiner's ContextHub is built around the structure of OSIsoft PI Event Frames and Asset Framework and is designed to broaden contextual information for root cause analysis and operational performance monitoring.