Predicting Equivalent Static Density of Fuzzy Ball Drilling Fluid by BP Artificial Neutral Network
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 P...
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Format: | Article |
Language: | English |
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Wiley
2015-01-01
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Series: | Advances in Materials Science and Engineering |
Online Access: | http://dx.doi.org/10.1155/2015/340721 |
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author | Chen Yang Zhaohong Wang Lihui Zheng Dengtian Mao |
author_facet | Chen Yang Zhaohong Wang Lihui Zheng Dengtian Mao |
author_sort | Chen Yang |
collection | DOAJ |
description | 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. |
format | Article |
id | doaj-art-cc75c44dba5944abb47fbaf2c1266461 |
institution | Kabale University |
issn | 1687-8434 1687-8442 |
language | English |
publishDate | 2015-01-01 |
publisher | Wiley |
record_format | Article |
series | Advances in Materials Science and Engineering |
spelling | doaj-art-cc75c44dba5944abb47fbaf2c12664612025-02-03T05:45:52ZengWileyAdvances in Materials Science and Engineering1687-84341687-84422015-01-01201510.1155/2015/340721340721Predicting Equivalent Static Density of Fuzzy Ball Drilling Fluid by BP Artificial Neutral NetworkChen Yang0Zhaohong Wang1Lihui Zheng2Dengtian Mao3College of Petroleum Engineering, China University of Petroleum, Beijing 102249, ChinaSJVBU, Chevron North America, Bakersfield, CA 93311, USACollege of Petroleum Engineering, China University of Petroleum, Beijing 102249, ChinaCollege of Petroleum Engineering, China University of Petroleum, Beijing 102249, ChinaA 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.http://dx.doi.org/10.1155/2015/340721 |
spellingShingle | Chen Yang Zhaohong Wang Lihui Zheng Dengtian Mao Predicting Equivalent Static Density of Fuzzy Ball Drilling Fluid by BP Artificial Neutral Network Advances in Materials Science and Engineering |
title | Predicting Equivalent Static Density of Fuzzy Ball Drilling Fluid by BP Artificial Neutral Network |
title_full | Predicting Equivalent Static Density of Fuzzy Ball Drilling Fluid by BP Artificial Neutral Network |
title_fullStr | Predicting Equivalent Static Density of Fuzzy Ball Drilling Fluid by BP Artificial Neutral Network |
title_full_unstemmed | Predicting Equivalent Static Density of Fuzzy Ball Drilling Fluid by BP Artificial Neutral Network |
title_short | Predicting Equivalent Static Density of Fuzzy Ball Drilling Fluid by BP Artificial Neutral Network |
title_sort | predicting equivalent static density of fuzzy ball drilling fluid by bp artificial neutral network |
url | http://dx.doi.org/10.1155/2015/340721 |
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