PR-015-203900-R01 Reliability Detection and Accuracy of CPM Detection Systems Using Machine Learning

PR-015-203900-R01 Reliability Detection and Accuracy of CPM Detection Systems Using Machine Learning

Leak Detection

This report documents the result of research conducted by Southwest Research Institute (SwRI®) for the Pipeline Research Council International (PRCI) into the development of a Machine Learning (ML) model for improving the detection of leaks in liquid-carrying pipelines. Operators were surveyed as to their use of CPM systems for leak detection. Several operators provided data to support the research. The data was collected, curated, and analyzed by SwRI. Several ML models were investigated. A framework was developed to allow operators to use their own data to generate ML models for their pipelines to improve leak detection. A guideline was provided to facilitate use of the framework by operators. This document has been updated based on PRCI QC, committee, and PHSMA comments.

David Vickers,Heath Spidle

Reports

Southwest Research Institute

2/23/2022

6/27/2022

Publicly available for $100

SOM

Project - Final Report

PR-015-203900-R01