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The use of the latest inspection methods and equipment will assist in obtaining the maximum life expectancy from a pipeline reducing the overall operating costs. With the variety of inspection methods available, it is important to select the method that will provide reliable results.
PipeWay was the first true multi-channel standard geometry inspection tool. Embedded computer electronics and data management software advanced PipeWay’s geometry tool to a high resolution level. The tool is designed to be used in the most challenging situations, to effectively detect and size deformations that can affect pipeline integrity or impede the passage of other tools.
The basic component of the system is an IMU (Inertial Measurement Unit), which consists of a group of Gyroscopes and Acelerometers. Electronic systems and software control the sensor's operations to correct measurement errors cause by environmental variations.
Rare earth neodymium iron boron magnets power the magnetizer of the inspection unit, providing the ultimate strength to meet most pipeline wall thicknesses for the best feature detection and sizing. Special designs can cover extra heavy wall applications. ILI tool drive section is the sealing unit that pulls the pig through the pipeline. All sizes of the ILI tool can accommodate multiple wall thickness in the same run.
Due to the characteristics of internal general corrosion, channeling corrosion, and general wall thinning (erosion), MFL ILI tools have limitations on detection and sizing. PipeWay’s Porcupine ILI solves that problem. Instead of no detection at wall or the detection of only deeper defects in an already corroded area, “true” internal wall mapping is obtained.
GIP (External MFL)
Externally mounted MFL inspection tool for non-piggable pipelines such as tank farms, piers, refineries, chemical plants, as well as very short runs where ILI tool runs would not be cost-effective. Also an effective tool to precisely locate internal or mid-wall defects detected by ILI tools without removing pipe coating in the process of data prove up.