journal article·2022-04-26

Prediction and mitigation of AC interference on the pipeline system

Ajit Kumar Thakur, Adarsh Kumar Arya, Pushpa Sharma

Corrosion Reviews· Volume 40· Issue 2
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Abstract

Abstract The purpose of this paper is to predict and mitigate AC interference on buried pipeline systems due to transmission lines. Modeling and field verification of AC interference is done. The article also presents the issue of optimizing the mitigation measures. The paper uses the field data on soil resistivity, transmission line, and pipeline details to develop a model using current distribution electromagnetic interference grounding and soil structure analysis (CDEGS) software to predict the AC interference on the pipeline system. The model is validated with field measurements, and post-mitigation measures are considered. Mitigation measures are optimized to develop an economical mitigation plan. The case demonstrates the use of modeling techniques to predict and mitigate AC interference on pipelines. The field validation of modeling results helps improve the modeling results and plan optimized mitigation measures. The study requires providing comprehensive field data relevant to the pipeline system under consideration. The accuracy of the field data may have a bearing on the outcome of the study. The study enables designing and optimizing mitigation measures using modeling. Comparisons with field measurements help achieve desired pipeline system integrity against AC corrosion.
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Research context

OpenAlex topics: Geophysical Methods and Applications · Geophysical and Geoelectrical Methods · Non-Destructive Testing Techniques

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

IOCL , A1 Sec1 , Noida , New Delhi 110049 , India

Department of Chemical Engineering , School of Engineering, UPES , Bidholi , Dehradun , Uttarakhand 248007 , India

Department of Petroleum Engineering , School of Engineering, UPES , Bidholi Campus Dehradun , Dehradun , Uttarakhand 248007 , India

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