Operational Threshold-Embedded Machine Learning Models for Accurate Hydraulic Fracturing Monitoring
Hydraulic fracturing is critical process in unconventional reservoir development, where accurate real time monitoring directly impacts operational safety, job efficiency and financial aspect. This study presents a hybrid framework integrating domain specific operational thresholds with supervised machine learning for a...