Session: 08-05-04 Industrial Reliability and AI Diagnostics

Submission Number: 157601

Ai Driven Reliability and Production Optimization in Offshore Canada 

Offshore operations in Canada face challenging environmental conditions with large seasonal changes in temperature and humidity. This creates a challenge for traditional rules-based monitoring, which must hardcode what 'healthy' looks like. A gas compression train in -20C will have a different mechanical and performance signature than when it operates at 35C. C3 AI's Asset Performance Suite deployed in offshore Canada provides an innovative solution, using machine learning that understand environmental variability. By leveraging these capabilities, the suite reduces false positives by over 90% while maintaining 100% recall, enabling accurate failure predictions and ensuring reliable equipment performance. Predictive maintenance has become vital to ensuring reliable, efficient, and safe operations. 

The deployment of C3 AI's Asset Performance Suite in offshore Canada began on a single platform, focusing on predictive maintenance for critical equipment. By harnessing historical operational data and integrating it with real-time sensor readings, C3 AI’s models identified degradation patterns and failure risks early, which resulted in lowering emissions, reducing unplanned downtime, and cutting maintenance costs. Following the success of the predictive maintenance application, the solution was expanded to include a production optimization application. This new capability optimized throughput and energy efficiency, further enhancing the platform’s performance while contributing to significant reductions in emissions. The value of these applications is estimated at $17M (USD) annually.

C3 AI applications are designed to scale rapidly and securely in an enterprise environment. The predictive maintenance solution was deployed to a second platform in less than 6 months. The deployment included over 250 machine learning models across both platforms, providing comprehensive monitoring and optimization capabilities previously unavailable to operators and engineers.

This presentation will detail the deployment of the C3 AI Asset Performance Suite in offshore Canada, illustrating its impact on equipment monitoring, emissions reduction, and operational efficiency. Attendees will learn how the rapid scaling of this solution empowered operators to proactively manage critical equipment, enhance production performance, and achieve sustainability goals in one of the world's more challenging environments.

Presenting Author: Eric Smith C3.ai

Presenting Author Biography: Eric Smith is an AI Solution Director at C3.ai where he is responsible for closing new business, ensuring successful delivery of products to clients, driving new and relevant features into C3.ai Products, and ensuring C3.ai is recognized as a market leader in the industry. He’s part of a team of industry domain experts with experiences in oil and gas, petrochemicals, pharmaceuticals, aerospace, manufacturing, and sugar processing. Prior to C3.ai, Eric was Technology Advisor at Assured Flow Solutions and Technology Manager at Wood. He holds a PhD in Chemical Engineering from the University of Notre Dame.