This analysis demonstrates improved predictive maintenance in carbon capture operations, highlighting real-time monitoring and AI-driven solutions for operational efficiency.
This study presents an innovative digital solution designed to empower Storage, Capture, and Transport Supervisors in the CCUS value chain, providing them with advanced tools for real-time monitoring, alert management, and AI-driven decision support. The solution integrates data from critical assets—capture plants, compressors, pipelines, wells, and storage facilities, allowing supervisors to monitor essential operational parameters such as pressure, temperature, flow rate, and volume across the entire CCUS process. By providing real-time insights and triggering automated alerts when conditions deviate from predefined thresholds, the system ensures that supervisors are immediately notified of potential issues. However, the product goes beyond basic alerting by automatically correlating issues across interconnected assets. For example, an alert from a well may be linked to pressure fluctuations in the pipeline, allowing supervisors to identify the root cause more efficiently and accurately. To further streamline operations, Generative AI (GenAI) powered chat and voice bots enable supervisors to interact with the system in a natural, conversational manner, whether through text or voice queries. This allows for real-time troubleshooting, instant access to operational insights, and immediate guidance on corrective actions, all tailored to the specific context of their role in the CCUS chain. These AI-powered bots are also capable of providing proactive maintenance recommendations based on predictive analytics, alerting supervisors to potential failures before they occur and ensuring that preventative measures are taken. With the ability to track issues across the entire system and instantly escalate them to the relevant engineers or teams, the solution enhances cross-functional collaboration, reduces downtime, and accelerates decision-making. By automating data analysis, alert propagation, and problem resolution, the platform empowers supervisors to make faster, more informed decisions, ensuring that CCUS operations run smoothly, safely, and efficiently. Ultimately, this solution supports the Storage, Capture, and Transport personas in maintaining optimal performance, improving safety, and contributing to the overall sustainability of carbon capture initiatives.
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Bordoloi et al. (2025) studied this question.
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