Proceedings of the 2017 6th International Conference on Energy and Environmental Protection (ICEEP 2017)

Prediction of Failure Risk for Underground Casing Pipe Based on Geostatistics

Authors
Yanhua Chen, Linlin Liu, Qingjie Zhu, Yiliang Liu
Corresponding Author
Yanhua Chen
Available Online June 2017.
DOI
10.2991/iceep-17.2017.221How to use a DOI?
Keywords
Risk prediction; Geostatistics; Underground pipe; Failure; Kriging interpolating.
Abstract

Failure analysis of underground casing pipe is very important for engineering protection. Failure of underground casing pipe is affected by many factors, and shows very strong spatial variability. Therefore, a predictive model is constructed based on geostatistics, in which spatial variability is taken into account. Through the spatial variability analysis of influence factors, interpolating images can be worked out with kriging and mathematical fitting techniques. As an application example, the failure risk is calculated by this model with interpolating images. The distribution of failure risk of underground casing pipe is investigated, and some advice is proposed.

Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2017 6th International Conference on Energy and Environmental Protection (ICEEP 2017)
Series
Advances in Engineering Research
Publication Date
June 2017
ISBN
10.2991/iceep-17.2017.221
ISSN
2352-5401
DOI
10.2991/iceep-17.2017.221How to use a DOI?
Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Yanhua Chen
AU  - Linlin Liu
AU  - Qingjie Zhu
AU  - Yiliang Liu
PY  - 2017/06
DA  - 2017/06
TI  - Prediction of Failure Risk for Underground Casing Pipe Based on Geostatistics
BT  - Proceedings of the 2017 6th International Conference on Energy and Environmental Protection (ICEEP 2017)
PB  - Atlantis Press
SP  - 1259
EP  - 1263
SN  - 2352-5401
UR  - https://doi.org/10.2991/iceep-17.2017.221
DO  - 10.2991/iceep-17.2017.221
ID  - Chen2017/06
ER  -