Solving The Non-Linear ILI Sizing Challenges With Bayesian Logic

Paper No. IPC2024-133658

This paper introduces a non-linear Bayesian sizing model to improve in-line inspection (ILI) tool validation, addressing limitations of the traditional linear approach. While API 1163 uses Bayesian methods, it assumes consistent performance across all flaw sizes, leading to inaccuracies, especially in thin-wall pipelines. The study highlights height sizing errors, crucial for fitness-for-service assessments of crack-like flaws, and includes a case analysis to demonstrate non-linear ILI performance. Although focused on crack-like flaws, the model is also applicable to metal loss ILI results.