Application of clustering analysis in oil wells corrosion and scaling management

DOI

10.2991/icreet-16.2017.67How to use a DOI?

Keywords

corrosion, scaling, principal component analysis, clustering analysis

Abstract

This article demonstrates a method to make classification and dosing control for oil wells. To find the main factors that caused the corrosion and scaling in oil wells, water quality data of one oil production plant were made principal component analysis. Then the oil wells were divided into four types by using spss19.0 clustering analysis software according to the differences among main factors. Finally, wells dosing were applied in the field according to the classification. The effect is obvious, the corrosion inhibition rate can reach 70% above, and scale inhibition rate of calcium carbonate can reach 90% above. Costs savings of all the wells add up to 5390 thousands.

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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TY  - CONF
AU  - Xuanqi Yan
AU  - Gang Xie
AU  - Qingzhen Du
AU  - Weiqi Jiang
AU  - Yingrui Wang
AU  - Zhonghai Qin
AU  - Yanping Miao
AU  - Yanjun Wang
AU  - Gang Yuan
PY  - 2017/03
DA  - 2017/03
TI  - Application of clustering analysis in oil wells corrosion and scaling management
BT  - Proceedings of the 2016 4th International Conference on Renewable Energy and Environmental Technology (ICREET 2016)
PB  - Atlantis Press
SP  - 391
EP  - 397
SN  - 2352-5401
UR  - https://doi.org/10.2991/icreet-16.2017.67
DO  - 10.2991/icreet-16.2017.67
ID  - Yan2017/03
ER  -