Study on optimization of weight on bit for automatic bit feeding based on improved ant colony algorithm

In the process of automatic bit feeding, to make the drilling process reach the optimal technical and economic indicators, the effect of the parameters on the drilling process should be analyzed. A drilling control parameter optimization model taking unit footage cost as the objective function is established to seek the optimal weight on bit (WOB) - rotary speed combination under certain constraint conditions. The objective function is optimized by the improved ant colony algorithm, and is finally applied to the specific example for simulation. A contrastive analysis is carried out with several kinds of typical optimization algorithm. It is indicated from the result that the improved ant colony algorithm can effectively reduce the unit footage cost, prolong the service life of drill bit, and shorten the trip time.