Burst Pressure Prediction of API 5L X-Grade Dented Pipelines Using Deep Neural Network

Mechanical damage is recognized as a problem that reduces the performance of oil and gas pipelines and has been the subject of continuous research. The artificial neural network in the spotlight recently is expected to be another solution to solve the problems relating to the pipelines. The deep neu...

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Veröffentlicht in:	Journal of marine science and engineering Jg. 8; H. 10; S. 766
Hauptverfasser:	Oh, Dohan, Race, Julia, Oterkus, Selda, Koo, Bonguk
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Basel MDPI AG 01.10.2020
Schlagworte:	Algorithms Artificial intelligence artificial neural network Artificial neural networks Boundary conditions burst pressure deep neural network dent Finite element method Gas pipelines Learning algorithms Machine learning Natural gas Neural networks ocean and shore technology (OST) Petroleum pipelines pipeline Pipelines Pressure Submarine pipelines Symmetry
ISSN:	2077-1312, 2077-1312
Online-Zugang:	Volltext
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