Proceedings of the 2017 7th International Conference on Mechatronics, Computer and Education Informationization (MCEI 2017)

Fine Mining Technology for High Water Cut Reservoir

Authors
Lijia Song, Liyang Song, Jiwei Wang
Corresponding Author
Lijia Song
Available Online December 2017.
DOI
10.2991/mcei-17.2017.33How to use a DOI?
Keywords
Separated layer water flooding; Production forecast; Drilling tech; Inverted nine spot water flooding pattern; Remaining oil.
Abstract

The oil production rate is slow in Oilfield, Low recovery degree, the difficulty of improving oil recovery by chemical flooding. Combined with formation heterogeneity characteristics and production dynamic situation, according to the distribution characteristics of remaining oil, adopting new drilling and Fine stratified water flooding technology. The region with high thickness of selected oil layer and high residual oil content is deployed to deployment the completely penetrating well and the infill well, straight well taking into account two layers, horizontal well is based on single layer, Fine layered inverted nine spot water flooding pattern development. After the implementation of newly drilled well, perforations adding, fracturing and separated layer water flooding, The predicted oil field has add up 1286.98 million tons of oil production by 2035, ultimate recovery factor 33.78%, water ratio97%, the formation pressure is always between 18 and 19MPa,the whole effect is better.

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 7th International Conference on Mechatronics, Computer and Education Informationization (MCEI 2017)
Series
Advances in Computer Science Research
Publication Date
December 2017
ISBN
10.2991/mcei-17.2017.33
ISSN
2352-538X
DOI
10.2991/mcei-17.2017.33How 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  - Lijia Song
AU  - Liyang Song
AU  - Jiwei Wang
PY  - 2017/12
DA  - 2017/12
TI  - Fine Mining Technology for High Water Cut Reservoir
BT  - Proceedings of the 2017 7th International Conference on Mechatronics, Computer and Education Informationization (MCEI 2017)
PB  - Atlantis Press
SP  - 155
EP  - 158
SN  - 2352-538X
UR  - https://doi.org/10.2991/mcei-17.2017.33
DO  - 10.2991/mcei-17.2017.33
ID  - Song2017/12
ER  -