Abstract

The article discusses the issues of monitoring the parameters of carbon dioxide corrosion of oil and gas production equipment and pipelines. The features of the main control methods traditionally used in the construction of corrosion monitoring systems, both in gas and in oil environments, are described. The article shows the random nature of local corrosion. A new approach to the creation of systems capable of detecting manifestations of local corrosion in real time and corresponding to the concept of “smart” deposits is proposed.

Highlights

  • Corrosion of the internal surfaces of process equipment at production sites in the oil and gas industry annually leads to significant economic and environmental damage

  • It is known that a distinctive feature of carbon dioxide corrosion of steel is the possibility of its localization in the form of ulcers, pits or extended grooves along the pipeline bottom (the so-called "streaming" corrosion) [2, 3]

  • An analysis of the mechanisms of carbon dioxide corrosion of steel shows that its manifestations can be divided into uniform corrosion and localized corrosion

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Summary

Introduction

Corrosion of the internal surfaces of process equipment at production sites in the oil and gas industry annually leads to significant economic and environmental damage. Carbon dioxide corrosion of steel is a great danger, which has become relevant recently in the development of new oil and gas basins [1]. There is no doubt that corrosion is a complex multifactorial process. To understand it a proper assessment of whole range of different parameters should be taken into consideration. An analysis of the mechanisms of carbon dioxide corrosion of steel shows that its manifestations can be divided into uniform corrosion and localized corrosion (pitting, ulcers, mesa-corrosion, etc.). The development of localized corrosion can proceed tenfold faster as compared with the average surface weight loss of the metal [2]

No Method
Analysis of convergence results
Detection of early stages of local corrosion
Conclusions
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