Improving Refining Operations with Rich Data and Analytics

by , | Jun 10, 2020 | Downstream Hydrocarbons

Jim Cahill

Chief Blogger, Editor

“While online data from sensors has been available for decades, the low cost and quick installation time of wireless sensors compared to their wired counterparts is driving a new digital transformation in refineries around the world. The data from wireless sensors not only provide real-time measurements and valuable insights into asset health, it can spur new ways to integrate work processes and improve the timeliness and accuracy of decision-making for personnel.”

Unlock the rich data in your refinery to achieve Top Quartile performanceSo Emerson’s Dennis Belanger opens the article, Unlock the rich data in your refinery to achieve Top Quartile performance, in the Refiner’s Guide to Digital Transformation and Top Quartile Performance. Dennis describes how big data helps drive increased productivity, lowered maintenance costs and energy usage, reduced downtime, and lower safety and environmental incidents.

He cites a McKinsey study that:

…has ranked Big Data Analytics as one of the top potential technologies that can increase productivity and GDP over the next few years. Among business sectors, manufacturing was the lead with an estimated overall GDP yearly increase of $125–$250 billion.

IIoT analytics in the Plantweb digital ecosystem helps refiners address the wealth of raw data from additional sensors and:

…validate and analyze using the appropriate parameters and alerts to uncover the trends—and account for the anomalies—that will help predict equipment or process failures.

Get your copy of the Refiner’s Guide for more using operational analytics and other technologies to drive your digital transformation initiatives.

Visit the Refining section on Emerson.com for ways to improve operational flexibility and reduce operating costs, unplanned slowdowns and shutdowns, and be more adaptive to new clean fuels regulations.

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The opinions expressed here are the personal opinions of the authors. Content published here is not read or approved by Emerson before it is posted and does not necessarily represent the views and opinions of Emerson.