Abstract：The paper presented a new method for prediction of inter-well parameters interpolation by using neural network technique based on microfacies study.Combining with studying results of reservoir microfacies,the method uses well position and microfacies information as a input parameters of neural network to make space prediction of reservoir parameters.Taking Bo-21 fault-block oil reservoir,Gudao Oilfield as an example,the paper uses permeability data in sepcrate well position and regional depositional microfacies data to make interpolation prediction of inter-well permeability.The results show that the method can not only conveniently use prior regional knowledge and expert experiences for prediction of inter-well parameters,but also greatly improve the precision of predicted inter-well parameters,which provided a reliable basis for reservoir model-building.
