Track: Oil & Gas Pipelines
Pipeline safety and asset integrity (AI) management systems are essential for ensuring the reliability and sustainability of energy transportation. Effective asset integrity (AI) management helps prevent failures, reduce environmental risks, and optimize operational efficiency. Artificial intelligence (AI) is transforming asset integrity (AI) management by enhancing safety, reliability, and efficiency across industries like oil and gas, emerging fuels and power generation. AI-driven solutions enable predictive maintenance, real-time monitoring, and data-driven decision-making, helping organizations optimize asset performance and reduce operational risks. Data fusion applications are leveraging AI algorithms used to enhance decision-making in asset integrity management, where symbiosis of two complementary ILI and/or NDE techniques can be coupled to provide a more reliable approach to predict life time in service, and prevent premature failures. Moreover, AI can analyze images of equipment to detect damage and threats such as cracks, corrosion, or wear. By comparing current images with historical patterns, AI improves accuracy in identifying anomalies, allowing for early intervention before structural integrity is compromised. Stakeholders integrating AI for AI management report significant cost savings on maintenance and reductions in unplanned outages.
