Numerical simulation optimization method for site-level hydraulic fracturing fracture characteristics in shale oil
Hydraulic fractures in fractured wells are typically identified using microseismic monitoring technology,which involves setting up monitoring points,conducting on-site monitoring,and performing data post-processing.This technology,however,is limited by certain delays in result interpretation,making it primarily suitable for post-fracturing effect evaluation,which restricts its application in early fracturing design optimization.To address this,numerical simulation research on fracture characteristics during shale hydraulic fracturing was performed.Using the integrated geological engineering software Fracman,a numerical model of shale hydraulic fracture characteristics,incorporating natural fractures,was established.By comparing the simulation results with microseismic monitoring data from the on-site operations of Well A,it was found that the simulated stimulation volume and microseismic fracture length achieved over 90%agreement with the field measurements,confirming the reliability of the model.Subsequently,the effects of parameters such as natural fracture density,fracture azimuth angle,cluster spacing,and flow rate on microseismic fracture length and stimulation volume during shale hydraulic fracturing were analyzed.The results indicate that microseismic fracture length in hydraulic fracturing positively correlates with natural fracture azimuth angle,cluster spacing,and fracturing fluid viscosity,while it shows a negative correlation with natural fracture density.Additionally,the microseismic fracture length initially increases and then decreases as flow rate and fluid volume rise,suggesting the existence of optimal flow rate and fluid volume values.Similarly,stimulation volume is positively correlated with natural fracture azimuth angle,fluid volume,and fracturing fluid viscosity,but shows an initial increase followed by a decrease with the increase in natural fracture density,cluster spacing,and flow rate,indicating optimal values for natural fracture density,cluster spacing,and flow rate that maximize stimulation volume.These findings provide new technical insights for optimizing hydraulic fracturing designs in shale oil.
万方数据
维普
