Application of neural network-based expert system in drilling fault diagnosis
基于神经网络专家系统的钻井事故诊断

Combining the practical conditions and the drilling variables, the drilling fault diagnosis system utilizing the Artificial Neural Network (ANN) to obtain the knowledge and the expert system to reason and diagnose the faults was designed. The knowledge was acquired through constantly learning and training the ANN with varieties of the intricate drilling problems. The definite diagnosis results can be drawn by the reverse reasoning of the expert system. According to the results the drilling parameters will be adjusted automotively. The drilling fault diagnosis system has proved to be practical and effective by the living examples.