In this era of growing energy demands, ensuring pipelines operate safely is critical. Traditional detection methods often seem unable to cope with the demands of high speed and high efficiency. But with the introduction of high-resolution magnetic flux leakage (MFL) detection technology, the pipeline inspection industry is undergoing a fundamental transformation.
There are a variety of testing methods to choose from when assessing pipeline integrity. The Internal Inspection Tool (ILI) is designed to be used inside the pipeline and collect data as needed by the user. The MFL-ILI is a long-established pipeline inspection tool specifically designed to detect and assess areas of pipeline wall damage due to corrosion.
With the development of high-resolution MFL technology, anomalies in pipelines can be identified more reliably and accurately, reducing the need for expensive validation mining.
In the pipeline inspection industry, a "pig" refers to the inspection equipment that runs inside a pipeline. The term was first used to describe cleaning tools that made a squeaking sound. Today, MFL tools are called smart inspection pigs because they have electronics that collect real-time data.
High-resolution MFL tools are capable of detecting anomalies as small as 1 square millimeter, which is critical in identifying potential pipe wall loss.
As the MFL tool navigates inside the pipe, it creates a magnetic circuit between the pipe wall and the tool. When the tool is running, a magnetic field is sent into the pipe wall, identifying any defects or corrosion that is present.
The main purpose of the MFL tool is to detect corrosion in pipelines. To more accurately predict the size of corrosion features, extensive testing is performed prior to entry into an operational pipeline. This not only improves data accuracy, but also greatly improves pipeline integrity management procedures.
The high-resolution MFL tool collects data every 2 mm, a resolution that enables comprehensive signal analysis.
While MFL tools are primarily used to detect corrosion, they can also identify other types of geometric deformations such as dents, wrinkles or bends. These detection signals are different from standard corrosion characteristics, further expanding the application range of MFL tools.
In some cases, the MFL tool was able to identify large non-axial cracks. This is a challenging task for experienced MFL data analysts because the signals left by cracks are more subtle and complex than those of other defects.
In summary, high-resolution MFL technology has not only changed the traditional pipeline inspection method, but also improved the overall safety and economic benefits. As this technology becomes more popular, pipeline integrity management will reach a new level. In the future, how will this technology be further improved and impact the industry as a whole?