Process Control

If you want AI to overcome limitations, give it more scalability

Brooks, M., AspenTech

Artificial intelligence (AI) has caused a significant buzz not only within the hydrocarbon processing industry but also in everyday activities.

Execution features of modularization projects

Chuang, R., Fan, A., CTCI Corp.

Due to growing global environmental awareness in recent decades, the petrochemical industries have been seeking more cost-effective construction solutions.

Key instrumentation technologies to tackle the toughest measurement challenges

Oberle, C., Bonkat, T., Emerson Automation Solutions

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.

Digital: Safety, simplicity and productivity provide the value needed in plant operations

David, A., Endress+Hauser

In today’s manufacturing environment, process automation professionals must choose from a multitude of widgets and innovations to help their plants run more smoothly.

Taking on petrochemical plant hurdles with networking smarts

Rivero, A., Rajant Corp.

The petrochemical industry is facing one of the most significant challenges in its history.

Risk mitigation procedure following criticality assessment and FMEA

Zou, T., T. A. Cook

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.

Process control reimagined

Imagine visiting the control room of a typical process unit at a refinery.

Understanding HCN in FCC: Formation, effects and mitigating options

Riva, S., BASF; Challis, S., Chalcat Consulting

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.

Implementation of averaging level control using native DCS functions

Gous, G., de Vaal, P., University of Pretoria; van Coller, G., Sasol

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.

Reliability: Taking ownership of problems

Bloch, Heinz P., Hydrocarbon Processing Staff

Taking ownership of issues during a critical or troubling time is just as important as assuming responsibility during times of opportunity and benefit.