Just as some people seek out extreme sports, process manufacturing has its extreme applications, and engineers who design for these environments must find ways to safely contain and monitor all manner of dangerous reactions and products.
In today’s manufacturing environment, process automation professionals must choose from a multitude of widgets and innovations to help their plants run more smoothly.
The petrochemical industry is facing one of the most significant challenges in its history.
In asset performance management (APM), criticality assessment and failure mode and effects analysis (FMEA) are powerful tools that enable the identification of opportunities to minimize asset lifecycle costs during the development of equipment strategies.
Imagine visiting the control room of a typical process unit at a refinery.
In these challenging times, fluidized catalytic cracking units (FCCUs) aim to improve margins by processing poorer- or different-quality feeds, while maintaining good yield performance.
When applying averaging level control in a process plant, engineers can typically choose between proportional integral derivative (PID)-based control, such as p-only, gap and non-linear, or a model-based control like optimal averaging level control.
Taking ownership of issues during a critical or troubling time is just as important as assuming responsibility during times of opportunity and benefit.
In the second half of 2021, Hydrocarbon Processing is hosting two events to showcase the leading technologies and people in the refining, petrochemicals and gas processing/LNG industries: The International Refining and Petrochemical Conference (IRPC) and the HP Awards. A “call for abstracts” has opened for both events.
Many companies are modifying existing crude refineries or building grassroots renewable diesel facilities to produce drop-in, green renewable diesel from a variety of agriculturally derived triglyceride feedstocks.