Real Time Trajectory Parameters Measurement on Machine Learning for Intelligent Drilling

In view of the complex geological conditions, the drilling project will encounter a large number of difficult wells, special wells, etc. It is difficult to obtain wellbore trajectory parameters in real time. With the continuous development of petroleum industry and the progress of science and technology, drilling technology will enter a new stage of artificial intelligence drilling, and petroleum technology will develop towards information, intelligence, integration and visualization. For control well trajectory effectively, real-time and high-precision well trajectory parameters can be obtained. A real-time borehole trajectory measurement method for intelligent drilling based on machine learning is proposed. Intelligent downhole tools through machine learning, implant the knowledge system of various industry experts related to drilling into downhole machines. The database is installed in the intelligent expert system to provide a reference for real-time data analysis in the underground, so as to realize intelligent control of the drill bit trajectory. The parameters of the wellbore trajectory are monitored, collected, controlled, decided and processed in real time by the downhole machine, which no longer need to be transmitted to the surface system through the cable or mud pulse method.Therefore,realize precise control of borehole trajectory, improve the accuracy and efficiency of intelligent drilling.