Machine Learning on Field Data for Hydraulic Fracturing Design Optimization: Digital Database and Production Forecast Model

Summary Increasing amount of hydraulic fracturing (HF) jobs in the recent two decades brought in a significant amount of measured data available for development of predictive models via machine learning (ML). In multistage fractured completions, post-fracturing production reveals evidence that different stages produce very non-uniformly, and up to 30% may not be producing at all due to a combination of geomechanics and fracturing design factors....