Iceberg-seabed interaction evaluation in clay seabed using tree-based machine learning algorithms

In Arctic offshore regions, the oil and gas hydrocarbons are transferred to the onshore basins through the subsea pipelines. However, the operational integrity of the subsea pipeline may be at risk of collision with traveling icebergs, which gouge the seabed in the Arctic shallow waters. Even though...

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Bibliographic Details

Main Authors:	Hamed Azimi, Hodjat Shiri, Masoud Mahdianpari
Format:	Artigo
Language:	Inglês
Published:	KeAi Communications Co. Ltd. 2022-12-01
Series:	Journal of Pipeline Science and Engineering
Subjects:	Ice-seabed interaction process Clay seabed Extra tree regression (ETR) Decision tree regression (DTR) Random forest regression (RFR) Gradient boosting regression (GBR)
Online Access:	http://www.sciencedirect.com/science/article/pii/S2667143322000476
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