Environment & Safety Gas Processing/LNG Maintenance & Reliability Petrochemicals Process Control Process Optimization Project Management Refining

OSIsoft showcases how industrial analytics can optimize operations

One of the many benefits of the oil and gas industry’s move towards digital transformation is the advancements in operations through analytics. This was the primary focus of OSIsoft’s Texas Regional Seminar. Held in the Woodlands, Texas, the technical event brought together hundreds of like-minded users to gain knowledge on how industrial analytics can be used to increase profitability.

A full house greeted the keynote presentation at OSIsoft’s Texas Regional Seminar.
A full house greeted the keynote presentation at OSIsoft’s Texas Regional Seminar.

This regional seminar focused primarily on OSIsoft’s PI system, which is used by companies in several industries to improve operations and reach a higher level of profitability. The system is built upon four pillars to gain operational intelligence—Capture, search and analyze, visualize and share. The PI system enables users the ability to capture real-time data to provide a pathway to enhance operations and reliability of equipment and systems.

However, data is useful, but a major initiative with any new digital system is empowering the workforce to analyze, share and collaborate on ways to increase workforce functions and operations. These tactics will provide an organization with the means of utilizing digital technologies to increase return on investment.

The regional seminar also focused on several other topics, including:

  • The role of IoT, edge, cloud and data lakes within industrial analytics
  • Analytical approaches for critical operations and the capabilities the PI System has to support those efforts
  • Best practices for industrial analytics
  • A host of case studies from customers that utilized the PI System to optimize operations, save money and boost operational profits.

From the Archive



{{ error }}
{{ comment.name }} • {{ comment.dateCreated | date:'short' }}
{{ comment.text }}