Prediction of rotary drilling penetration rate in iron ore oxides using rock engineering system

Abstract Prediction of the drilling penetration rate is one of the important parameters in mining operations. This parameter has a direct impact on the mine planning and cost of mining operations. Generally, effective parameters on the penetration rate is divided into two classes: rock mass properties and specifications of the machine. The chemical components of intact rock have a direct effect in determining rock mechanical properties. Theses parameters usually have not been investigated in any research on the rock drillability. In this study, physical and mechanical properties of iron ore were studied based on the amount of magnetite percent. According to the results of the tests, the effective parameters on the penetration rate of the rotary drilling machines were divided into three classes: specifications of the machines, rock mass properties and chemical component of intact rock. Then, the rock drillability was studied using rock engineering systems. The results showed that feed, rotation, rock mass index and iron oxide percent have important effect on penetration rate. Then a quadratic equation with 0.896 determination coefficient has been obtained. Also, the results showed that chemical components can be described as new parameters in rotary drill penetration rate.

[1]  R. Avila,et al.  A systematic approach to the migration of 137Cs in forest ecosystems using interaction matrices , 1999 .

[2]  Scott L. Huang,et al.  The mechanics of diamond core drilling of rocks , 1997 .

[3]  Nikita Basant,et al.  Linear and nonlinear modeling for simultaneous prediction of dissolved oxygen and biochemical oxygen demand of the surface water — A case study , 2010 .

[4]  C. Trueba,et al.  Application of the Spanish methodological approach for biosphere assessment to a generic high-level waste disposal site. , 2008, The Science of the total environment.

[5]  R. Altindag Evaluation of drill cuttings in prediction of penetration rate by using coarseness index and mean particle size in percussive drilling , 2004 .

[6]  Kourosh Shahriar,et al.  An estimation of the penetration rate of rotary drills using the Specific Rock Mass Drillability index , 2012 .

[7]  John A. Hudson,et al.  ROCK ENGINEERING SYSTEMS. THEORY AND PRACTICE , 1992 .

[8]  Ulrich Maidl,et al.  Abrasiveness and tool wear in shield tunnelling in soil / Abrasivität und Werkzeugverschleiß beim Schildvortrieb im Lockergestein , 2011 .

[9]  Seyed Rahman Torabi,et al.  An application of rock engineering systems for estimating TBM downtimes , 2013 .

[10]  Nuh Bilgin,et al.  A Model to Predict the Performance of Roadheaders And Impact Hammers In Tunnel Drivages , 1996 .

[11]  Olgay Yaralı,et al.  Assessment of relationships between drilling rate index and mechanical properties of rocks , 2013 .

[12]  John A. Hudson,et al.  IDENTIFYING THE CRITICAL MECHANISMS FOR ROCK ENGINEERING DESIGN , 1998 .

[13]  Kurosch Thuro,et al.  Introducing the 'destruction Work' As a New Rock Property of Toughness Referring to Drillability In Conventional Drill- And Blast Tunnelling , 1996 .

[14]  Demirdag Servet,et al.  Variation of vertical and horizontal drilling rates depending on some rock properties in the marble quarries , 2014 .

[15]  Lei Zhang,et al.  An application of the rock engineering systems (RES) methodology in rockfall hazard assessment on the Chengdu-Lhasa Highway, China , 2004 .

[16]  C. Karpuz,et al.  Drillability studies of surface-set diamond drilling in Zonguldak region sandstones from Turkey , 2005 .

[17]  Rafael Jimenez,et al.  A new open-pit mine slope instability index defined using the improved rock engineering systems approach , 2013 .

[18]  L. Lagoeiro,et al.  First results on the LPO-derived seismic properties of iron ores from the Quadrilátero Ferrífero region, southeastern Brazil. , 2008 .

[19]  S. Kahraman Rotary and percussive drilling prediction using regression analysis , 1999 .

[20]  Celal Karpuz,et al.  Drillability studies on the rotary blasthole drilling of lignite overburden series , 1990 .

[21]  J. Latham,et al.  Development of an assessment system for the blastability of rock masses , 1999 .

[22]  Anders Ström,et al.  Performance assessment of the geosphere barrier of a deep geological repository for spent fuel. The use of interaction matrices for identification, structuring and ranking of features, events and processes , 1997 .

[23]  Hyu-Soung Shin,et al.  Methodology for quantitative hazard assessment for tunnel collapses based on case histories in Korea , 2009 .

[24]  Masoud Zare Naghadehi,et al.  A probabilistic systems methodology to analyze the importance of factors affecting the stability of rock slopes , 2011 .

[25]  John A. Hudson,et al.  The fully-coupled model for rock engineering systems , 1995 .

[26]  A. R. Gupta,et al.  A Comparative Analysis of Cognitive Systems for the Prediction of Drillability of Rocks and Wear Factor , 2006 .

[27]  S. Kahraman,et al.  Dominant rock properties affecting the penetration rate of percussive drills , 2003 .

[28]  Maria Mavroulidou,et al.  A qualitative tool combining an interaction matrix and a GIS to map vulnerability to traffic induced air pollution. , 2004, Journal of environmental management.

[29]  John A. Hudson,et al.  A comprehensive method of rock mass characterization for indicating natural slope instability , 1996, Quarterly Journal of Engineering Geology.

[30]  Yingjie Yang,et al.  The application of neural networks to rock engineering systems (RES) , 1998 .