Prediction of Casing Collapse Strength Based on Bayesian Neural Network

With the application of complex fracturing and other complex technologies, external extrusion has become the main cause of casing damage, which makes non-API high-extrusion-resistant casing continuously used in unconventional oil and gas resources exploitation. Due to the strong sensitivity of strin...

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Veröffentlicht in:	Processes Jg. 10; H. 7; S. 1327
Hauptverfasser:	Li, Dongfeng, Fan, Heng, Wang, Rui, Yang, Shangyu, Zhao, Yating, Yan, Xiangzhen
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Basel MDPI AG 01.07.2022
Schlagworte:	Algorithms Artificial intelligence Artificial neural networks Bayesian analysis Collapse Continuous extrusion Data transfer (computers) Empirical analysis Error analysis Expected values Gas industry Machine learning Mechanical properties Neural networks Prediction models Regularization Regularization methods Residual stress Training Trial and error methods Yield stress
ISSN:	2227-9717, 2227-9717
Online-Zugang:	Volltext
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