Abstract: In order to accurately grasp the various major factors of impact hot melt drilling to drill, the law of the various factors and the change of the temperature about the surrounding strata and the extent of it should be explore.It's the first application of neural network in the field of the hot melt drilling, and the neural network and numerical simulation to predict and simulation analysis about experimental data were used.The BP neural network can predict the experimental data fit well on hot melt drilling and numerical simulation can simulate the formation temperature conditions.The FEM software can generate the temperature distribution field and curved lines, and it makes the temperature field more intuitive and convenient for analytical study.To save the cost of experiments and improve the experimental efficiency, the trained network models can be saved, only a few values into the trained network model of it to arrive at a set of corresponding data need measured in the next experiment.This model can be used as the prediction model for the corresponding conclusion.It provides a new idea for researching on the hot melt drilling.

Key words: Hot melt drilling, Neural network, Numerical simulation