Discussion of reasonable drilling parameters in impregnated diamond bit drilling  

作　　者：PAK Kumdol HO Yinchol PENG Jianming RI Jaemyong HAN Changson 

机构地区：[1]School of Resource Exploration Engineering,Kim Chaek University of Technology,Pyongyang 999093,D.P.R.Korea [2]College of Construction Engineering,Jilin University,Changchun 130026,China [3]School of Information Science and Technology,Kim Chaek University of Technology,Pyongyang 999093,D.P.R.Korea

出　　处：《Global Geology》2023年第2期114-121,共8页世界地质（英文版）

摘　　要：The impregnated diamond(ID)bit drilling is one of the main rotary drilling methods in hard rock drilling and it is widely used in mineral exploration,oil and gas exploration,mining,and construction industries.In this study,the quadratic polynomial model in ID bit drilling process was proposed as a function of controllable mechanical operating parameters,such as weight on bit(WOB)and revolutions per minute(RPM).Also,artificial neural networks(ANN)model for predicting the rate of penetration(ROP)was developed using datasets acquired during the drilling operation.The relationships among mechanical operating parameters(WOB and RPM)and ROP in ID bit drilling were analyzed using estimated quadratic polynomial model and trained ANN model.The results show that ROP has an exponential relationship with WOB,whereas ROP has linear relationship with RPM.Finally,the optimal regime of mechanical drilling parameters to achieve high ROP was confirmed using proposed model in combination with rock breaking principal.

关 键 词：rate of penetration(ROP) impregnated diamond bit drilling operating parameter artificial neural network 

分 类 号：P634.41[天文地球—地质矿产勘探]