Application of Case-Based Reasoning Method on Drilling Parameter Optimization

Optimized drilling technology is the classical one that it is the necessary links to realize the scientific drilling. Whereas, drilling engineering is a complex system because of the plentiful uncertain random information which occurs during the drilling process. The optimizing problem has to become more complex and uncertain because of the complexity of the drilling engineering. It is imperious to introduce the new optimization method and theory to solve the multi-functional problem and the uncertainty, which has many evaluation indexes and multivariate influence parameters. In this paper, an optimization method based on Case-Based Reasoning is provided to solve the optimization problem in drilling engineering and conquer the limitation of the conventional method. The method is divided into three parts. Firstly, the database of drilling parameters is established. Secondly, the drilling parameters optimization model is set up according to the case-based reasoning (CBR) theory. Finally, the drilling case search is carried on to gain the optimization results, which are carefully analyzed. This method is used to optimize the drilling parameters in daqing XuQu and the results are feasible. The drilling parameters optimization method based on CBR theory makes the drilling engineering and case reasoning organic integrate. The method is a very meaningful to solve the uncertainty in the drilling and it also makes the application of the case reasoning better and provides a bran-new research method to optimize the drilling parameters. The drilling parameters optimization has significant meaning in the academic study and engineering application.