Abstract: To correctively evaluate the achievements of oil and gas field and provide a reliable material base for development is the goal of recoverable reserve researchers. It is imperative to conduct our reserve evaluation to meet the demand of international standard with the entry into WTO and successful public listing of PetroChina Limited Company. Therefore, it is necessary to select the parameters carefully in recoverable reserve calculation, and fully study and summarize the calculation methods. With no increase in exploration workload, we try to make the calculation of oil and gas field recoverable reserve more close to the objective and actual condition. Based on the collected static and dynamic data from 182 development units in the developed oilfields in Liaohe oil province, this paper analyzes the factors that influence recovery factor, and sets up mathematics models by adopting multiple regression and grey theory analysis. Through analysis and screening, recovery factor analogy standard sequence and empirical equation that fit for different kinds of reservoir types in Liaohe oil province are obtained, providing a basis for recovery factor calibration at exploration stage. This equation is of good applicability, and has certain spreading and application value.