Multiresolution analysis and deep learning for corroded pipeline failure assessment

Volume: 162-163, Pages: 103066 - 103066
Published: Dec 1, 2021
Abstract
The assessment of the safety of corroded pipelines is considered a vital task in the oil and gas industry. This research aims to develop an efficient system to accurately predict the burst pressure of corroded pipelines with complex corrosion profiles through hybrid models using multiresolution analysis, numerical analysis and meta-models. The work addresses the parametrization of real corrosion shapes and its use as input to a neural network...
Paper Details
Title
Multiresolution analysis and deep learning for corroded pipeline failure assessment
Published Date
Dec 1, 2021
Volume
162-163
Pages
103066 - 103066
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