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Integrated Hierarchy-Correlation Model for Evaluating Water-Driven Oil Reservoirs
Xiaolong Chai1,2, Leng Tian1,2, Ge Wang1,2
1State Key Laboratory of Petroleum Resources and Prospecting, China University of Petroleum (Beijing), Beijing 102249, China.
This study introduces a new model to evaluate reservoir parameters affecting oil recovery in water-flooding. The findings offer a tool for rapid production performance analysis in oil reservoirs.
Area of Science:
- Petroleum Engineering
- Reservoir Engineering
- Geosciences
Background:
- Accurate oil production quantification is crucial for energy demands.
- Water-flooding is a key enhanced oil recovery technique.
- Evaluating reservoir parameters' impact on recovery is complex.
Purpose of the Study:
- To develop a comprehensive workflow for evaluating reservoir parameters' influence on ultimate oil recovery in water-flooding.
- To create a quantitative model integrating hierarchy-correlation for production parameter analysis.
- To establish novel multivariable correlations for predicting production performance.
Main Methods:
- Integrated hierarchy-correlation model combining analytic hierarchy process, grey relation, and entropy weight.
- Multiplicative weighting method for quantitative parameter description.
- Development and validation of multivariable linear and nonlinear correlations against numerical simulations.
Main Results:
- Identified seven key factors influencing recovery: permeability, porosity, thickness, saturation, injection-production ratio, and operating pressure.
- Proposed linear and nonlinear correlations accurately predict ultimate oil recovery.
- Linear correlation achieved a 0.903 coefficient and a low approximation error of 0.5% compared to simulations.
Conclusions:
- The developed model effectively evaluates reservoir parameters impacting water-flooding recovery.
- The proposed correlations provide a rapid and accurate tool for production performance evaluation.
- This research aids in optimizing oil recovery strategies and reservoir management.
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