Seeq has announced a new analytics system for industrial process monitoring. The new solution is designed to allow process manufacturers improve profitability and sustainability using advanced analytics and machine learning.

The Seeq Process Health Solution provides engineers and industrial process experts with access to Seeq’s machine learning add-on and multivariate visualisations from within the Seeq analytics platform.

The new solution, which includes Seeq ML, a no code multivariate pattern learning and diagnostic technology, enables organisations to monitor complex manufacturing processes and optimise key performance indicators in near real time for batch and continuous processes.

For oil and natural gas provider Williams Company, the Process Health Solution accelerated the company’s transition from a reactive to a proactive process monitoring approach.

“The Seeq Process Health Solution enabled our team to switch from a rules-based approach, which was difficult to implement and maintain at scale, to an engineer-friendly and transparent, multivariate machine learning approach,” said Oscar Lewis, a senior process operations leader and Technical Specialist at Williams Company. “This identified various process upsets, generating significant savings for our large gas gathering operations.”

Users can leverage their domain expertise and process knowledge, without any prior machine learning experience, to improve their discovery, detection and diagnosis of process performance issues. The new solution extends Seeq’s current market leading capabilities for connecting data, teams and insights across a spectrum of analytics and machine learning. Engineers and process experts benefit from accessing Seeq ML add-on capabilities and multivariate visualisations from within Seeq’s easy-to-use and collaborative advanced analytics platform. Templated solution workflows also enable teams to quickly identify issues and root causes and accelerate improvements in process performance.

“Placing advanced multivariate, machine learning capabilities directly in the hands of frontline process experts and decisions makers aligns perfectly with the Seeq machine learning strategy,” said Mark Derbecker, Chief Product Officer at Seeq. “Providing the Process Health Solution within the Seeq self-service, advanced analytics platform will enable organisations to gain insights and take transformational actions within hours.”