Equipment

Reliability analysis of analyzers bridges the gap between assessing and addressing risk

Taylor, B., Anvil Corporation; Martin, S., CHS

For most refinery facility managers, the demands of running plants efficiently, meeting environmental regulations and maximizing returns on product specifications challenge even the most disciplined professionals.

Integrated remote operations drive collaboration and autonomy

Fiske, T., Anderson, G., Yokogawa

Sensors, equipment and devices are becoming more intelligent, opening the door for autonomous operations, which is the ability for machines and processes to run while self-diagnosing and handling problems.

Shift focus to more open control technology

Chow, M., Crews, A., Emerson Automation Solutions

Plant control system modernizations that are necessary to meet today’s goals and strategies often come with organizational hurdles.

Optimization of ethylene in the processing of hydrocarbons

Hecker, H., DOW Chemical Co.; Kim, J., AMETEK Process Instruments

The measurement of moisture or humidity is very important in most industries, including the petrochemicals sector. Excess moisture in instrument air can cause pipes to rust or pneumatic equipment to malfunction.

Emerson unveils architecture vision for ‘Boundless Automation’

Building on a deep legacy of industry-leading digital automation expertise through its Plantweb digital ecosystem, Emerson shared its vision of a new software-defined automation architecture designed to catalyze the future of modern manufacturing.

Shell reports flaring at Pernis refinery after malfunction

Shell reported flaring at its 404,000-barrel per day (bpd) Pernis refinery in the Netherlands due to a malfunction at one of the site's installations on Oct. 12.

2022 HP Awards Finalists

Nichols, Lee, Hydrocarbon Processing Staff

Hydrocarbon Processing, the downstream processing sector’s leading technical publication for 100 yr, has announced the finalists for its sixth annual HP Awards, which celebrate innovative technologies and people that have been instrumental in improving facility operations over the past year.

Data, algorithms and collaboration combine for machine-learning success

Venkat, A., Zakeri, S., Disantis, J., Seeq; Johnstone, A., Ithaca Energy; Martin, J., allnex

Process manufacturers are investing significant resources in machine-learning (ML) to increase reliability, profitability and sustainability in their operations—saving millions of dollars in short periods of time through increased efficiency.

Innovations

Rhodes, Mike, Hydrocarbon Processing Staff

AW-Lake now offers a new Portable Transit Time Ultrasonic Flow Meter in addition to the full-sized clamp-on version that provides non-contacting flow measurement for the most challenging industrial environments with minimal installation complexity and costs.

A system approach to mitigating corrosion under insulation

Cusick, A., Owens Corning

This article will consider how a system approach can help mitigate the risk of CUI and contribute to the performance and longevity of piping and equipment.