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

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.