摘要

Asset Integrity (AI) assurance poses significant challenges for petroleum asset operations, especially in Arctic environments. In the context of AI assurance, winterization plays a significant role in harsh cold environments, and physical assets operate at or close to their design limits. Although the risk-based winterization (RBW) approach provides a rational way of determining the need for winterization and its levels, the inherent ad hoc nature of the RBW level analysis increases the variability in the assessments and recommendations. This manuscript proposes an approach for minimizing the assessment and recommendation-related variability in the RBW level analysis tasks.

  • 出版日期2017-9