Analysis of effects of operating parameters on rate of penetration in drilling process with air down-the-hole hammer  

作　　者：HO Yinchol PAK Kumdol PENG Jianming RI Jaemyong KIM Yongnam CHOE Cholho 

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

出　　处：《Global Geology》2021年第1期64-70,共7页世界地质（英文版）

摘　　要：Air down-the-hole(DTH)hammer drilling has long been recognized to have the potential of drilling faster than conventional rotary drill,especially in some hard rocks such as granite,sandstone,limestone,dolomite,etc.with the same weight on bit(WOB)and rotations per minute(RPM).So,it has been widely used in many drilling fields including mineral resource exploration drilling,oil and gas drilling and geothermal drilling.In order to reduce drilling cost by selecting optimal drilling parameters,rate of penetration(ROP)should be estimated accurately and the effects of different factors on ROP should be analyzed.In this research,ANN model with several multi-layer perception back propagation(BP)networks for predicting ROP of air DTH hammer drilling was developed using controllable parameters such as impact energy,impact frequency,WOB,RPM and bit operating time for the formations with a certain drillability index of rock.Several BP neural networks with the different neurons in hidden layers were developed and compared for selecting optimal architecture of ANN.The effects of the drilling parameters such as impact energy,impacting frequency,WOB,RPM and bit operating time on the ROP of air DTH hammer drilling were investigated by trained ANN.From the analyses,the optimum range of drilling parameters for providing high ROP were determined and analyzed for a formation with a certain drillability index of rock.The methodology proposed in this study can be used in many mathematical problems for optimization of drilling process with air DTH hammer.

关 键 词：ROP air DTH hammer drilling drilling parameter artificial neural network optimization 

分 类 号：P634[天文地球—地质矿产勘探] TE24[天文地球—地质学]