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IPEC | Pipeline Maintenance
(+9821) 88768818

Pipeline Maintenance

IPEC in cooperation with its international reputable partners provides Cleaning and In-Line Inspection services to keep the pipeline at a suitable integrity level.

Cleaning

We employ chemical and mechanical means to remove deposits and foulants from the pipeline in order to maximize the pipeline capacity. Also, maintaining corrosion is carried out by releasing corrosion inhibitor into the pipeline. Our cleaning services can be combined where applicable with in-line inspections, providing a single source for equipment, experience and personnel.

IPEC’s highly skilled cleaning specialists determine the correct solutions to meet your needs and then perform the cleaning in a safe, cost-effective manner. Selecting cleaning pigs depending on the pipeline characteristics and running pigs at the correct velocity are important.

All water added to the system during filling, cleaning and gauging operations must be Filtered and chemically treated seawater.

Inline Inspection (Intelligent Pig Running)

Modern intelligent pigs are highly sophisticated instruments that vary in technology and complexity by the intended use and by manufacturer. An intelligent pig, or smart pig, is basically a computer that collects various forms of data during the trip through the pipeline. The smart pigs are divided into the following types:

Caliper : The Caliper Tool gathers geometrical data from the pipeline and it is necessary to run the Caliper before using other intelligent pigs.

MFL : The MFL Tool measures the amount of leakage of a magnetic flux which is generated as a loop that passes the pipe wall thickness to find internal and external metal loss features.

UT : The Ultrasonic Pig uses special transducers to generate a special signal. The signal passes through the pipe wall thickness and therefore the transducer gets several echoes. By measuring the intensity and energy of the received signals, it will find and estimation of the pipe wall thickness in every region near the transducers. By analyzing the data from UT Pig Run, we can find the exact location of each metal loss feature and also we can get an estimate of its size.