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Proppant Distribution Prediction between Perforation Clusters Using Fresh Water in a Horizontal Wellbore
1Department of Petroleum Engineering, King Fahd University of Petroleum & Minerals, 31261, Dhahran, Saudi Arabia.
Achieving even proppant distribution in multistage, multicluster treatments is crucial for well productivity. This study developed an experimental correlation to forecast and optimize proppant distribution, enhancing hydraulic fracturing designs.
Area of Science:
- Petroleum Engineering
- Reservoir Engineering
Background:
- Even proppant distribution in multistage, multicluster treatments is a significant challenge.
- Uneven distribution negatively impacts fracture conductivity and well productivity.
Purpose of the Study:
- To develop an experimental correlation for forecasting proppant distribution in multistage, multicluster hydraulic fracturing.
- To provide insights for optimizing proppant distribution and improving well performance.
Main Methods:
- Utilized dimensional analysis with the Buckingham π-theorem.
- Developed experimental correlations using laboratory data from various proppant sizes, concentrations, and injection rates.
- Incorporated data from different perforation configurations.
Main Results:
- A new experimental correlation for proppant distribution was developed.
- The correlation can predict proppant distribution between perforation clusters.
- This aids in optimizing proppant placement for uniform distribution.
Conclusions:
- The developed correlation is essential for future hydraulic fracturing designs.
- It enables optimization of proppant distribution across multiple clusters.
- Facilitates uniform proppant distribution in multistage, multicluster horizontal wells.
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