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Journal of Mining Sciences

2018 year, number 2

Penetration Rate and Specific Energy Prediction of Rotary-Percussive Drills Using Drill Cuttings and Engineering Properties of Selected Rock Units

M. Z. ABU BAKARA1, I. A. BUTTB2, Y. MAJEEDC1
1University of Engineering and Technology, Lahore, Pakistan
2University of Lahore, Lahore, Pakistan
Keywords: скорость проходки, удельная энергия буровых работ, индекс крупности, константа абсолютного размера Розина-Раммлера, прочность на сжатие, бразильская прочность на растяжение, прочность при точечном нагружении, твердость по Шмидту, плотность, пористость, скорость распространения продольной волны, penetration rate (PR), specific energy (SE), coarseness index (CI), Rosin-Rammler’s constant (D’), uniaxial compressive strength (UCS), Brazilian tensile strength (BTS), point load strength (PLS), Schmidt rebound hardness (SRH), density, porosity (n), P-wave velocity (Vp)

Abstract

This study discusses the prediction of penetration rate and specific energy of button bit equipped rotary-percussion drilling machines from drill cuttings and geo-mechanical properties of rocks. The operational parameters of drilling machines measured from selected locations were utilized for the calculation of specific energy of drilling operations. For this purpose three on-going hydropower projects and four active mining quarries of Pakistan were selected. The drill cuttings were further used to determine various descriptors of the chip size distribution including the coarseness index and Rosin-Rammler’s absolute size constant. A complete set of geo-mechanical rock tests were conducted in the laboratory and includes uniaxial compressive strength, Brazilian tensile strength, point load strength, Schmidt rebound hardness, p-wave velocity, dry density, porosity and brittleness indices. Regression analyses were performed to predict the penetration rate and specific energy of drilling from geo-mechanical properties of rocks. The models so developed were also validated by adopting the t-test and the F-test statistical techniques. Moreover, statistical models were also developed to evaluate penetration rate from various descriptors of the chip size distribution. Dependence of bit size on coarseness index and mean particle size was also discussed.