Equipment
Implement advanced level control techniques to improve crude distillation unit stabilizer performance
The performance of refinery operations depends on the stable operation of the plant.
Reliability analysis of analyzers bridges the gap between assessing and addressing risk
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
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
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
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
<em>Hydrocarbon Processing</em>, the downstream processing sector’s leading technical publication for 100 yr, has announced the finalists for its sixth annual <em>HP</em> 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
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
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.
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