Proceedings of the 3rd International Conference on Material, Mechanical and Manufacturing Engineering

GIS-based Geostatistics and Multi-Criteria Evaluation of Steel Casing Failure

Authors
Jing Chen, Yiliang Liu, Qingjie Zhu
Corresponding Author
Jing Chen
Available Online August 2015.
DOI
https://doi.org/10.2991/ic3me-15.2015.290How to use a DOI?
Keywords
Spatial dependency, Geostatistics, kriging interpolating, Predictive model, GIS
Abstract
Geostatistics is a very important tool of surface analysis in GIS application. Firstly, spatial dependency that represents the similar extent of neighboring points is used to analyze spatial data values and their locations. Spatial variability is calculated to assess spatial data in terms of distance and direction. Then, calculating results is used to create new surface images of spatial data values with kriging interpolating. As an example application, four sample data sets of oil wells, such as injection pressure, times of injection, injection temperature, and total injection, are analyzed. Predictive model of steel casing failure is constructed with four surface images that represent influence factors. Finally, the predictive distribution of steel casing failure is worked out, and some advice is proposed.
Open Access
This is an open access article distributed under the CC BY-NC license.

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Proceedings
3rd International Conference on Material, Mechanical and Manufacturing Engineering (IC3ME 2015)
Part of series
Advances in Engineering Research
Publication Date
August 2015
ISBN
978-94-6252-100-1
ISSN
2352-5401
DOI
https://doi.org/10.2991/ic3me-15.2015.290How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Jing Chen
AU  - Yiliang Liu
AU  - Qingjie Zhu
PY  - 2015/08
DA  - 2015/08
TI  - GIS-based Geostatistics and Multi-Criteria Evaluation of Steel Casing Failure
BT  - 3rd International Conference on Material, Mechanical and Manufacturing Engineering (IC3ME 2015)
PB  - Atlantis Press
SN  - 2352-5401
UR  - https://doi.org/10.2991/ic3me-15.2015.290
DO  - https://doi.org/10.2991/ic3me-15.2015.290
ID  - Chen2015/08
ER  -