Study on Prediction Method of Polymer Flooding Well Fracturing Effect

DOI

10.2991/msmee-17.2017.319How to use a DOI?

Keywords

Percolation Mechanism, Geological Factors, Process Factor, Grey Relation, Multiple Linear Regression

Abstract

Using percolation mechanism, the geological factors and technological factors that affect the fracturing fluid were determined. Similar geological conditions and process factor, increased liquid yield of the production wells are also similar. However, the result of the oil increment is very different after fracturing. The influence factors of the oil displacement of polymer flooding are determined by grey correlation method and fuzzy mathematical analysis, which mainly includes water content of polymer flooding, water content of fracturing, single well daily production, effective thickness of fracturing layer, permeability, oil saturation and so on. On the basis of studying polymer flooding mechanism of fracturing oil increase and the variation law, using multiple linear regression method, the prediction equation of polymer flooding fracturing effect has been established. The prediction accuracy of the equation is above 95%.

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  - Hong Pang
PY  - 2017/05
DA  - 2017/05
TI  - Study on Prediction Method of Polymer Flooding Well Fracturing Effect
BT  - Proceedings of the 2017 2nd International Conference on Materials Science, Machinery and Energy Engineering (MSMEE 2017)
PB  - Atlantis Press
SP  - 1755
EP  - 1759
SN  - 2352-5401
UR  - https://doi.org/10.2991/msmee-17.2017.319
DO  - 10.2991/msmee-17.2017.319
ID  - Pang2017/05
ER  -