Abstract

Accurate, rapid and effective analysis of rock drillability is very important for mining, civil and petroleum engineering. In this study, a method of rock drillability evaluation based on drilling process monitoring (DPM) parameters is proposed by using the field drilling test data. The revolutions per minute (N), thrust, torque and rate of penetration (ROP) were recorded in real time. Then, the two-dimensional regression analysis was utilized to investigate the relationships between the drilling parameters, and the three-dimensional regression analysis was used to establish models of ROP and specific energy (SE), in which the N-F-ROP, N-T-ROP and the improved SE model were obtained. In addition, the random forest (RF) and support vector machine combined with genetic algorithm (GA-SVM) were applied to predict rock drillability. Finally, a prediction model of uniaxial compressive strength (UCS) was established based on the SE and drillability index, Id. The results show that both regression models and prediction models have good performance, which can provide important guidance and a data source for field drilling and excavation processes.

Highlights

  • Monitoring (DPM) Parameters.Rock drillability plays an important role in mining, civil and petroleum engineering.The traditional rock drillability analysis requires the rock mechanics parameter

  • Sarkar [37] et al adopted the feed-forward back-propagation neural network to estimate the strength parameters of rock, and the results show that the performance of the artificial intelligence (AI) techniques is better than regression analysis

  • The results show that the performances of the established models combining specific energy (SE) and Id are significantly superior to that of the univariate model

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Summary

Introduction

The traditional rock drillability analysis requires the rock mechanics parameter. This means that the procedures of site drilling, coring, sample processing and laboratory test are needed, which will be time-consuming and costly and greatly affect the engineering efficiency. Rock drilling process refers to the rock drilling relying on the bit’s thrust and rotary cutting force. The thrust is used to push the drill pipe and make it in close contact with the rock mass so as to generate enough friction. The rotary cutting force is mainly used to break the rock mass. The parameters fed back in the drilling process are closely related to the rock mass properties. How to quickly and accurately obtain the rock mass properties is very important for the parameter design of rock breaking equipment

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