Prediction Method of Fluid Production Capacity based on Reservoir Engineering Theory and Data Mining Algorithm

At present, there are some problems in the management and analysis of reservoir development data in domestic oilfields. Due to the lack of efficient integrated database model standard and application system for oil and gas reservoir evaluation, professionals mainly rely on manual data sorting and data conversion in comprehensive analysis, which wastes a lot of time. Fluid productivity prediction method based on reservoir engineering theory and data mining algorithm is a new method for predicting reservoir oil and gas production. The method is based on a combination of three different methods: (1) the first method includes estimating the pressure drop of each well according to the original pressure, which is obtained by drilling down through the formation. This can be accomplished by using any type of logging tool, or even simply by using an electronic measuring instrument. (2) The second method involves predicting the time required for each well to produce fluids at different pressures.