Prediction of Coiled Tubing Erosion Rate Based on Sparrow Search Algorithm Back-Propagation Neural Network Model

Coiled tubing has been widely used in oilfield development because it can significantly improve oil well productivity and recovery efficiency. However, with the increase in fracturing, drilling, and sand-washing operations, the erosion of coiled tubing walls caused by solid particles has become one...

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Vydáno v:	Applied sciences Ročník 14; číslo 20; s. 9519
Hlavní autoři:	Cao, Yinping, Fang, Fengying, Wang, Guowei, Zhu, Wenyu, Hu, Yijie
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Basel MDPI AG 01.10.2024
Témata:	Accuracy Algorithms Back propagation back-propagation neural network coiled tubing erosion rate prediction Experimental methods Flow velocity grey relational analysis Machine learning Neural networks Oil field services Oil fields Petroleum industry Petroleum mining Research methodology Simulation sparrow search algorithm Turbulence models Viscosity
ISSN:	2076-3417, 2076-3417
On-line přístup:	Získat plný text
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