Optimisation of hydraulic fracturing in mining through field data analysis and machine learning

Abstract This study presents a comprehensive analysis of field data obtained from a substantial hydraulic fracturing campaign in a hard rock mining operation, aiming to enhance prediction, understanding and optimise operational practices through parametric analysis and Machine Learning. Findings reveal that structural control predominates during the initiation stage, limiting the influence of operational parameters, while strong positive correlations emerge between operational variables and achi