Leak Detection

Defect severity classification holds significant importance within industries that prioritize quality control. This study proposes a novel approach that applies machine learning with Stress Concentration Tomography (SCT) to effectively categorize defects’ severity. Through the utilization of machine learning algorithms, the objective is to enhance...

For years, pipeline operators have relied on human observers flying at low altitude to perform visual inspection of their ROW, without any automatic documentation or detection system. This paper presents the first real-life results of a test campaign performed by Flyscan Systems, integrating detection algorithms developed by Enbridge, over ROWs of...

In the context of repurposing of natural gas transmission pipelines to Hydrogen service the sensitivity of inspection systems with a focus on POX is frequently discussed. Often an increase of crack growth rate da/dN and a reduction in pipe steel toughness require a reduction of minimum remaining anomaly dimensions, in order to satisfy economically...

This work is centered on the integration of different Leak Detection Technologies into a single platform for a better management of Pipeline Integrity Monitoring issues. Leak detection methods covered in this paper are based on Advanced-Negative Pressure Wave, Mass-Balance, Acoustic-Noise, and other predictive techniques based on data processing...

Corrosion Under Insulation (CUI) of insulated pipelines and leakage or intrusion detection on underground utility pipelines are two applications where Distributed Fiber Optic Sensing (DFOS) provides a promising alternative to existing monitoring techniques. In this paper, we present case studies for both domains. When Distributed Acoustic Sensing...

Ensuring the safe operation of flanges is critical to the integrity of piping systems in the oil and gas industry. Given the intense conditions that process equipment often experiences, flanges are subject to a variety of defect mechanisms, such as corrosion, scratching, gouging, pitting, or denting. These defects can lead to flange leakages that...

With a shift from fossil-based energy production and consumption to renewable sources also comes a shift for the transportation. To guarantee safe and efficient monitoring of pipelines, leak detection systems (LDS) must be adapted to the new requirements. The article describes how existing LDS can handle the requirements of energy transition...

Distributed fiber optic sensing has been gaining significant momentum in pipeline industry adoption. The primary application of this technology has been in preventative leak detection, but intelligent new applications such as pipeline flow rate monitoring are now emerging and promise to deliver extra value to the pipeline operators. We present a...

Atmos International (Atmos) is continuously working with the pipeline industry to develop solutions to overcome operational challenges. Atmos Simulation (SIM) Suite is an operational tool that users can trust to help operators run their pipelines safely, efficiently and with clarity and visibili ty. Atmos SIM Online, working in real-time, performs...

Distributed Fiber Optic Sensing (DFOS) has expanded current pipeline leak detection technologies (LDS), providing a significant set of new capabilities. This paper briefly reviews the main types of DFOS technologies used for pipeline monitoring. There are different types of Distributed Acoustic Sensing (DAS) and Distributed Temperature Sensing (DTS...

The Oil & Gas pipeline industry is facing a very serious challenge in assuring spill and accident-free operations of pipeline infrastructure, which is distributed across many thousands of miles in both remote and populated areas. In recent years, however, the occurrences of high-profile spil ls and incidents have spiked, further escalating the...

Pipelines are an important part of the Oil and Gas Industry, as they are the most economical method to transport different products through long distances to various consumers. These pipelines are cleaned an d inspected — without interrupting their operations — using utility scrapers and smart instrument scrapers, respectively. To track the scraper...

The vibroacoustic system (e-vpms®) was designed by Eni S.p.A to detect and accurately localize spillages/leakages in crude oil and finite product pipelines, although has shown over the years the capability of detecting a wide class of Third Party Interferences phenomena. The reason of this high sensitivity is ascribable to the physical-acoustic...

Leak detection, TPI (Third Party Interference) and asset integrity are crucial topics in pipeline monitoring, although they often require costly procedures and systems. In order to support the pipeline integrity management, Eni S.p.A, in collaboration with Solares JV, developed the e-vpms® (Eni Vibro-acoustic Pipeline Monitoring System). This...

We demonstrate PrismaFlowTM’s best in class events det ection and classification capabilities accompanied by negligible False Alarm Rate (FAR). A 35 km long pre-depl oyed optical cable inside a conduit was used as the sensor. Originally deployed for communication purposes, the optical cable, running along the infrastructure, was placed along highly...