Case Study
Large-Scale Petrochemical Production Facility
Learn how this large-scale petrochemical production facility leveraged dataPARC as a foundation for third-party AI integration—achieving high-performance control that reduced steam consumption and enhanced product quality.
Company’s Story
Despite many vendors being deterred by the site’s complex requirements for both linear and nonlinear modeling, dataPARC embraced the challenge. The platform served as a foundation to integrate with a third-party AI algorithm, achieving high-performance control that manages complex process interactions through self-learning mechanisms.
“Most vendors rejected the project due to the complexity of the linear and non-linear models.”
Company’s Challenges
The site had complex requirements for both linear and nonlinear modeling in advanced analytics—requirements that deterred many vendors. They needed a platform that could integrate with third-party AI algorithms while managing complex process interactions.
The dataPARC Solution
dataPARC served as the foundation to integrate with a third-party AI algorithm, achieving high-performance control that manages both linear and nonlinear process complexities through self-learning mechanisms. The initiative has exceeded expectations, enhancing product quality and reducing steam consumption through modeling and process monitoring.
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