Drilling shaft pressure imbalance influence factor analysis method based on BP-DEMATEL-ISM model

The invention relates to the technical field of oil and gas drilling, in particular to a drilling shaft pressure imbalance influence factor analysis method based on a BP-DEMATEL-ISM model, which is used for improving the traditional DEMATEL by introducing a BP neural network and an ISM algorithm. The BP neural network uses the weight between an input layer and an output layer to obtain an influence factor direct incidence matrix, and improves the efficiency and objectivity of the analysis method. A DEMATEL model is improved by utilizing an ISM algorithm in consideration of the risk prevention and control problem and in order to obtain a simplest hierarchical cause network model, meanwhile, in consideration of the particularity of drilling engineering, for numerous problems of logging parameters related to shaft pressure imbalance, the ISM model is optimized, and network construction is proposed according to driving force. Different advantages of BP, DEMATEL and ISM models are fused, and an accident cause netw