Predicting Equivalent Static Density of Fuzzy Ball Drilling Fluid by BP Artificial Neutral Network
Joint Authors
Yang, Chen
Wang, Zhaohong
Zheng, Lihui
Mao, Dengtian
Source
Advances in Materials Science and Engineering
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-6, 6 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-06-25
Country of Publication
Egypt
No. of Pages
6
Abstract EN
A back-propagation artificial neutral network model is built based on 220 groups of PVT experimental data to predict the equivalent static density versus depth for fuzzy ball drilling fluid which is a kind of gas-liquid two-phase material.
The model is applied in the Mo80-C well located in Sichuan Province of China; the maximum relative error between calculated results and measured data is less than 2%.
By comparing with the multiple regression model, the present model has a higher precision and flexibility.
The equivalent static density of fuzzy ball drilling fluid from ground to the depth of 6000 m is predicted by the present model, and the results show that the equivalent static density of fuzzy ball drilling fluid will decrease slowly with the growth of depth, which indicates that the gas cores of the fuzzy balls still can exist as deep as 6000 m.
American Psychological Association (APA)
Yang, Chen& Wang, Zhaohong& Zheng, Lihui& Mao, Dengtian. 2015. Predicting Equivalent Static Density of Fuzzy Ball Drilling Fluid by BP Artificial Neutral Network. Advances in Materials Science and Engineering،Vol. 2015, no. 2015, pp.1-6.
https://search.emarefa.net/detail/BIM-1053222
Modern Language Association (MLA)
Yang, Chen…[et al.]. Predicting Equivalent Static Density of Fuzzy Ball Drilling Fluid by BP Artificial Neutral Network. Advances in Materials Science and Engineering No. 2015 (2015), pp.1-6.
https://search.emarefa.net/detail/BIM-1053222
American Medical Association (AMA)
Yang, Chen& Wang, Zhaohong& Zheng, Lihui& Mao, Dengtian. Predicting Equivalent Static Density of Fuzzy Ball Drilling Fluid by BP Artificial Neutral Network. Advances in Materials Science and Engineering. 2015. Vol. 2015, no. 2015, pp.1-6.
https://search.emarefa.net/detail/BIM-1053222
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1053222