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Pipes

Our Publications

We work with energy operators to improve the industry's understanding around the risk and reliability of energy infrastructures. We believe that our research will help create safer energy infrastructures for a safer world.

01

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Partial Spatial Correlated Errors of ILI Depth Sizing

This paper empirically determines how correlated corrosion anomaly sizing errors are to each other at different distance spans using learnings from over 1000 excavations. It further demonstrates the impact of partial correlations to API 1163 Level 2 Inline Inspection Validations and to Reliability Assessments. 

02

Stress Corrosion Cracking EMAT Identification

This paper examines the probability that an Inline Inspection EMAT crack-like anomaly detection is SCC. It uses operational factors and geo-enrichment to create a machine learning model that increases the accuracy of SCC Identification from ~10% to ~90%. It further investigates the application of a probabilistic approach to SCC Identification.

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03

Prioritizing Retrofits of Non-Piggable Pipelines

This paper explains how to use a new Internal Corrosion Structural Reliability Model to help prioritize the retrofits old transmission pipelines that cannot undergo inline inspections.

04

Probabilistic Corrosion Growth

This paper provides a comprehensive empirical evaluation on over 57,000 corrosion anomalies around different probabilistic corrosion growth rate (PCGR) methodologies. It guides operators on which PCGR model to use to predict future corrosion growth.

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05

Reliability Engineering Monte Carlo Simulations

This paper guides energy operators on how to perform Monte Carlo Simulations without performing common pitfalls in the application of pipeline reliability engineering. 

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