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...

Celý popis

Uloženo v:

Podrobná bibliografie
Vydáno v:	Processes Ročník 10; číslo 7; s. 1327
Hlavní autoři:	Li, Dongfeng, Fan, Heng, Wang, Rui, Yang, Shangyu, Zhao, Yating, Yan, Xiangzhen
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Basel MDPI AG 01.07.2022
Témata:	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
On-line přístup:	Získat plný text
Tagy:	Přidat tag Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!

Buďte první, kdo okomentuje tento záznam!