Applied Single Correlation Analysis and Multiple Regression Analysis for Rapid Prediction of Reservoir Sensitivity

DOI

10.2991/wartia-16.2016.113How to use a DOI?

Keywords

reservoir protection, sensitivity analysis, single correlation analysis, multiple regression, core analysis

Abstract

Sensitivity study, the premise of the analysis of reservoir damage mechanism, is significant to optimize all the links of drilling and development process, as well as to develop the systematic oil and gas reservoir protection technology scheme. To study a variety of methods developed in recent years for the reservoir sensitivity prediction, it is found that using the combination of single correlation analysis and multiple regression analysis is a new, ideal, and rapid method for the prediction of reservoir sensitivity. Extract the relevant information of sensitivity on the basis of conventional core analysis and sensitivity analysis of minerals, and apply the single correlation analysis and multiple regression analysis to predict the reservoir sensitivity, the accuracy rate can reach 85%, which basically meets the needs of reservoir sensitivity prediction. Compared with the single prediction method, the prediction results obtaining from the combination of the two methods are obviously improved. It is simple, highly applicable, and has a clear physical meaning.

Copyright

© 2016, 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  - Lei Qu
PY  - 2016/05
DA  - 2016/05
TI  - Applied Single Correlation Analysis and Multiple Regression Analysis for Rapid Prediction of Reservoir Sensitivity
BT  - Proceedings of the 2016 2nd Workshop on Advanced Research and Technology in Industry Applications
PB  - Atlantis Press
SP  - 554
EP  - 560
SN  - 2352-5401
UR  - https://doi.org/10.2991/wartia-16.2016.113
DO  - 10.2991/wartia-16.2016.113
ID  - Qu2016/05
ER  -