As pipeline operators face growing volumes of integrity data and increasingly complex risk scenarios, traditional assessment methods can make it difficult to consistently identify the most critical threats. This case study explores how NDT Global's Integrity Management product brand - Dynamic Risk’s Quantitative Risk Assessment (QRA) methodology combines advanced analytics, machine learning, and spatial data integration to deliver a more comprehensive, data-driven approach to integrity management. Download the case study to learn how operators can improve risk visibility, address data quality challenges, align with CSA Z662:23 Annex B requirements, and make more informed decisions that enhance safety, environmental protection, and operational efficiency.

