Abstract
A large number of oil and gas pipelines in the Russian Federation have been in operation for over 20 years. For these pipelines, the issue of assessing the residual resource is relevant. Today, much attention is paid to the problem of long-term durability of pipelines. Trunk pipelines are under the influence of cyclic loads and influences arising during operation. The acting stresses in the pipe wall do not exceed the allowable ones, however, they cause micro-damage to the metal structure. When assessing the cyclic fatigue of a metal, the main criterion is the relative damage to the metal. The use of non-destructive testing methods (ultrasonic and magnetic), as well as the establishment of a relationship between the number of cycles and diagnostic parameters, will improve the accuracy of the residual life assessment. When analyzing several diagnostic parameters, the question of data interconnection becomes relevant. Since establishing an empirical or semi-empirical relationship between ultrasonic and magnetic properties is a complex task, artificial neural networks (ANNs) can be used to solve this problem. The use of ANN in the diagnostics of trunk pipelines will increase the accuracy of the assessment and eliminate the subjectivity of data interpretation.
Highlights
Russia has one of the longest pipeline networks in the world
In the field of diagnostics and assessment of the residual life of structures operating under variable load conditions, an approach to determining the technical condition based on an assessment of long-term strength is increasingly being used
A similar approach can be applied to main pipelines, since oil and gas pipelines operate under conditions of variable loads arising during their operation
Summary
Russia has one of the longest pipeline networks in the world. The length of the main pipelines is over 250 thousand kilometers [1]. The age of many of them exceeded the standard operating life or is close to this. In such conditions, the problem of assessing the residual life of such pipelines becomes relevant. The problem of assessing the residual life of such pipelines becomes relevant During their diagnosis, according to the regulatory and technical documentation available today, much attention is paid to the presence of defects, as the main dangerous factor that can cause a major accident. In the field of diagnostics and assessment of the residual life of structures operating under variable load conditions, an approach to determining the technical condition based on an assessment of long-term strength is increasingly being used. A similar approach can be applied to main pipelines, since oil and gas pipelines operate under conditions of variable loads arising during their operation
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