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In this paper, a BP neural network model with 5-9-6 structure is constructed according to various fault gases and different fault types of drilling fluid. On the basis of BP neural network model, genetic algorithm and gray wolf algorithm are used to optimize the threshold and weight of neural network. By applying the system to Horizontal Well Changshen #5 on site used Grey Wolf algorithm, lost circulation problem in the horizontal section of the reservoir was effectively controlled, ensuring rapid and safe drilling operation.

Selection Technology of Deep Leak Proof Drilling Fluid in Changsheng Block Based on BP Grey Wolf Neural Network