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January 1, 2026International Journal of Environment and PollutionOpen Access

Evaluation of factors affecting expansion of weak-base ASP flooding based on grey correlation analysis combined with BP neural network

Bo Sun Jingming Fan Min Wang Yunfeng Zhang Qinan Chen Meiling Jiang

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Key Points

The aim is to evaluate the factors impacting the expansion of weak-base ASP flooding using advanced analytical techniques.
Conduct grey correlation analysis to identify influential factors.
Utilize BP neural network for predictive modeling of ASP flooding outcomes.
Analyze data from various experimental setups to validate findings.
Identified key factors affecting ASP flooding expansion.
Demonstrated effective predictions using the BP neural network model.
Provided insights for optimizing ASP flooding strategies.

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Implication

Analysis evaluates factors influencing weak-base ASP flooding, suggesting improved methodologies for enhanced recovery.

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Cite This Study

Sun et al. (2026) studied this question.

synapsesocial.com/papers/69cf5ea85a333a821460d3e1 https://doi.org/10.1504/ijep.2026.10077349

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