DOI: 10.21440/0536-1028-2019-6-60-69
Teplukhin V. K., Ratushniak A. N., Wang Xiaolong. Electromagnetic technology of diagnosing the internal protective coating of field pipelines. Izvestiya vysshikh uchebnykh zavedenii. Gornyi zhurnal = News of the Higher Institutions. Mining Journal. 2019; 6: 60–69 (In Russ.). DOI: 10.21440/0536-1028-2019-6-60-69
Research aim. Currently, part (less than 10%) of field pipelines has an internal protective coating. The lack of protection leads to of pipelines in-service failures and ruptures caused by corrosion. This leads to environmental damage, high costs for emergency elimination, and uncontrolled losses of oil and petroleum products. In order to reduce the frequency of ruptures in the pipeline system, it is necessary to increase the number of pipelines with an internal protective coating. The service life of pipelines with internal insulation increases by 8-10 times compared to unprotected pipes. It is necessary to develop a technology monitoring the technical state of the internal polymer coating of field pipes of 114-273 mm in diameter used for petroleum products transportation.
Research methodology includes theoretical and methodological research and detailed analysis of physical modelling results.
Analysis of results. Harmonic electromagnetic field measured characteristics informativeness is shown in the study of pipelines protective coating defects. High manufacturability of field check studies is shown when diagnosing internal polymer coating of pipes and moving the measuring system inside the pipeline in an autonomous mode with variable speed.
Summary. The efficiency has been tested and confirmed of using a method based on probe electrodes symmetrical arrangement and a bridge circuit to measure electromagnetic signal field characteristics to create a manufacturable tool diagnosing field pipelines internal polymer coating in difficult industrial conditions.
Key words: internal protective polymer coating of pipes; dielectric layer; mathematical modeling; experimental setup; physical modeling.
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Received 14 May 2019