This report presents the results of an extensive literature survey to collect and assemble information on the current state of the tracer technology with the objective of selecting promising techniques that could serve to Positively identify and…
Industry is directing efforts toward reducing the environmental impact of operation through improving pipeline performance and addressing evolving regulatory requirements. As a result, external leak detection technologies have been recently developed
The hydrocarbon industry is directing efforts towards reducing the environmental impact of operation through improving pipeline performance and addressing evolving regulatory requirements. As a result, many different external 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…
Current leak detection systems for pipelines are not only unreliable in the detection of minute leaks but often expensive and/or dangerous to run. This is an unacceptable standard for pipeline operators and leak detection service providers.…
In June 2012, the RAM Program conducted a comprehensive field study to evaluate the performance of current off the shelf sensor technologies for detecting gas and oil leaks on pipelines. This study had three key objectives: 1. Evaluate the…
The dispersion and migration behavior of hydrocarbon products leaking at low rates (i.e. 1bbl/day and 10 bbl/day) from a pipeline have been studied using a combination of experimental leakage tests and numerical simulations. The focus of this study…
Describes structural-acoustic sensing and alert systems that continuously monitor a pipeline without the need for external power. When bonded to a pipeline, these sensors can detect minute and high-frequency strains. The specific focus here is on…