FORMATION DRILLABILITY PREDICTION METHOD BASED ON ARTIFICAL NERVE NETWORK

The two most important factors influencing formation drillability are lithology and rock bury depth, and this has been proved in the state of the art. This paper presents a method of using artificial neural network to predict the formation drillability, and establishes two neural network models for the drilled and preceding formation. Test shows that it’s an effective model to predict the formation drillability, and its accuracy reaches as high as 90%.