«Environmental protection in oil and gas complex»

Neural network technologies for calculating stress concentration factors caused by uniform corrosion on offshore fixed platforms

UDC: 622.276.04:004.032.26
DOI: -

Authors:

¹ National University of Oil and Gas "Gubkin University", Moscow, Russia

Keywords: labor protection, emergency situation, stress concentration factors, uniform corrosion, neural network, analytical formulas, offshore fixed platforms, corrosion zones, pipe‐wall thickness

Annotation:

The authors of the article consider the urgent problem of ensuring labor safety and environmental safety during the operation of offshore oil and gas platforms, the elements of which are subject to uniform corrosion. The risk reduction of emergency situations on platforms due to the timely detection of structural elements overstress caused by corrosion is studied. A method for comprehensive assessment of structures stress state has been developed, taking into account the combined effect of three corrosion zones: above-water, periodic wetting, and underwater. It has been established that the combined calculation reveals an unequal degree of each zone influence, which can lead to errors in traditional assessments of the strength and reliability of structures, increasing the risks to personnel safety. Based on the results of numerical modeling, a neural network has been trained that allows calculating stress concentration factors taking into account the uneven decrease of walls thickness. The neural network is approximated in the form of formulas, which ensures prompt assessment of the stress state of structures. The proposed approach significantly improves the accuracy of assessments and contributes to an increase of labor safety level.

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