The new method to predict the early productivity of ultra-low permeability reservoir in Ordos Basin

摘要

There are many and complex factors that affect the productivity in low-permeability reservoir well, from considering the contribution to which, total effective reservoir thickness, reservoir permeability and porosity are main factors affecting well productivity of hua-qing area in the Ordos Basin. The relationship between these factors and the productivity is a nonlinear system, so, this paper researched and derived on the BP neural network model and its algorithm, and used this model to seek the relationship between productivity and influencing factors. The results confirmed that this method is reliable to predict well productivity and can be used to predict the early well productivity of ultra-low permeability reservoirs.