The application field of micro-seismic monitoring technology is constantly expanding, and the application of micro-seismic is also constantly improving. The geometric location, length, width, height, and volume information of micro-seismic events have been successfully applied in the evaluation of hydraulic fracturing, but it is difficult to evaluate the heterogeneity of reservoirs or the degree of fracture development, and to determine the risk level of the fracturing stage. So, it is necessary to apply micro-seismic events to determine the abnormal characteristics of reservoirs, provide real-time and effective quantitative parameters, effectively identify fracturing risks, and avoid engineering damage during fracturing. This article proposes a quantitative evaluation method for micro-seismic events, which is used to characterize the degree of reservoir fracture or heterogeneous development in fractured stages, in order to prevent the occurrence of fracturing risks. This article applies the geometric position relationship of micro-seismic events to elaborate on the calculation methods of symmetry and dispersion of events; The magnitude parameter of events is applied to propose the quartiles of magnitude, which are used to distinguish the degree of magnitude dispersion and explain the potential degree of fracture or heterogeneous development in fractured reservoirs; At the same time, the calculation process and application of b value were elaborated in detail. The quantitative evaluation method for micro-seismic events proposed in this article can effectively identify the distribution of abnormal events and explain the degree of fracture or heterogeneous development in the fractured stages. This article innovatively applies the geometric position relationship and magnitude distribution relationship of micro-seismic events, and provides four quantitative calculation methods for micro-seismic event distribution, which can effectively identify abnormal fracturing sections. It has a good effect on identifying fracturing risk stages, improving fracturing effects, and enhancing fracturing efficiency.