Abstract: In the absence of a certain failure rate function, we propose an optimal preventive pump inspection cycle and inspection strategy for pump recovery wells in oil fields based on theWeibull distribution research on the failure rate of these wells. By analyzing the pump inspection cycle data, we assume and establish a distribution model and utilize the fuzzy particle swarm optimization-simulated annealing algorithm to estimate the parameters of the distribution model and determine the failure rate function of pump recovery wells. In addition, using the fuzzy decision method, we analyze and calculate an optimal preventive pump inspection cycle and combine it with a current pump inspection strategy for pump recovery wells to determine the best preventive pump inspection strategy. This strategy has a practical application value for the pump inspections of pump recovery wells.