Leveraging AI and Spatial Data to Unlock Pipeline Integrity Insights: NETL’s Advanced Infrastructure Integrity Model (AIIM)

Conference · Wed Aug 13 00:00:00 EDT 2025

DOI:https://doi.org/10.2172/2998633· OSTI ID:2998633

Bauer, Jennifer ^[1]; Dyer, Alec ^[2]; Zaengle, Dakota ^[2]; Schooley, Catherine ^[2]; Malay, Caleb ^[2]; Pfander, Isabelle ^[2]; Rose, Kelly ^[1]

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1. NETL
2. NETL Site Support Contractor, National Energy Technology Laboratory

Maintaining the integrity of natural gas infrastructure plays a critical role in ensuring energy security. Robust, data-driven foundational AI models for pipeline integrity can help address risk management and mitigation issues. Trusted foundational models can help with industry adoption and accelerate innovation by enhancing integrity predictions, reduce costs, and informing infrastructure build-out. The AIIM dashboard was released in 2022 and utilizes multi-ML models for ensemble-type insights. It was expanded to include analytics on reported incidents. It was developed as an ESRI Dashboard to support data visualization & interrogation and contains pipeline data and model results.

• Research Organization: National Energy Technology Laboratory (NETL), Pittsburgh, PA, Morgantown, WV, and Albany, OR (United States)
• Sponsoring Organization: USDOE Office of Fossil Energy and Carbon Management (FECM); USDOE Office of Fossil Energy and Carbon Management (FECM), Office of Carbon Management (FE-20); USDOE Office of Fossil Energy and Carbon Management (FECM), Office of Resource Sustainability (FE-30)
• OSTI ID: 2998633
• Country of Publication: United States
• Language: English

Related Subjects

Advanced Infrastructure Integrity Model (AIIM)
EDX
EDX Spatial
artifical intelligence / machine learning (AI/ML)
critical energy infrastructure
energy infrastructure
infrastructure integrity
oil & gas infrastructure