Proceedings of the 2018 Second International Conference of Sensor Network and Computer Engineering (ICSNCE 2018)

A Research of Perforation Plan-decision Based on Grey Cluster Relation

Authors
Xue Jijun
Corresponding Author
Xue Jijun
Available Online April 2018.
DOI
10.2991/icsnce-18.2018.26How to use a DOI?
Keywords
Perforating Operation; Grey Cluster Relation; Perforation Plan-decision
Abstract

Perforation completion in oil and gas wells is the most important way of completion engineering, the optimization of perforation completion’s designing is influenced by a variety of factors. In order to get the ideal effect of perforation operation, in this paper, a perforation plan-decision based on Grey Cluster Relation is put forward. It aims to provide a scientific guidance for the perforation. The simulation experimental results show that new models are effective, which offer one kind of science decision-making foundation for petroleum perforation.

Copyright
© 2018, 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 2018 Second International Conference of Sensor Network and Computer Engineering (ICSNCE 2018)
Series
Advances in Computer Science Research
Publication Date
April 2018
ISBN
10.2991/icsnce-18.2018.26
ISSN
2352-538X
DOI
10.2991/icsnce-18.2018.26How to use a DOI?
Copyright
© 2018, 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  - Xue Jijun
PY  - 2018/04
DA  - 2018/04
TI  - A Research of Perforation Plan-decision Based on Grey Cluster Relation
BT  - Proceedings of the 2018 Second International Conference of Sensor Network and Computer Engineering (ICSNCE 2018)
PB  - Atlantis Press
SP  - 127
EP  - 132
SN  - 2352-538X
UR  - https://doi.org/10.2991/icsnce-18.2018.26
DO  - 10.2991/icsnce-18.2018.26
ID  - Jijun2018/04
ER  -