For hydraulic fracturing,how to effectively obtain the fracture pattern generated during the fracturing process and the dynamic expansion process of fractures has been a problem that plagues the academic and industrial circles. At present,conventional methods usually use the obtained microseismic event localization results for qualitative manual analysis or numerical simulation analysis with various simulation tools. The method of using the microseismic event localization result for analysis has the problem of requiring manual intervention and insufficient capability of information representation. With the numerical simulation method,there is often a deviation between the calculation and the actual problem due to the complexity of the underground medium. In attempt of solving above problem,in this paper we apply the data-driven method,by extracting the spatial and temporal information of microseismic events,to realize the identification of the crack plane and the fracture network path. At the same time,the feasibility of our method was tested by introducing hydraulic fracturing rock experiments in which comparing the measured acoustic emission data with the corresponding CT scan data of the actual rupture conditions. The results show that our method has a good recognition on the main crack,and the algorithm result is in good agreement with the real data from the CT scan.