Methodological Approach to Estimation of the Degree of Corrosion Hazard in the Main Oil Pipeline Sections Based on Smart Pigging Data

摘要

Realization of monitoring of the anti-corrosion protection system status at the pipeline facilities of Transneft organizations, aimed at assurance of its efficiency, determines the necessity to develop and refine an appropriate methodological component. As is known, the Transneft companies have been using a technique for technical inspection of the linear part of main pipelines with the help of pipeline intelligent pigs (PIP) for about 20 years. Use of high-resolution intelligent pigs makes it possible to detect defects, measure their parameters and classify by types. Operations on in-line inspection of oil and product pipelines are performed by the Flaw Detection Center Diascan.