Prediction of physico-mechanical properties of rocks using dominant frequency of vibration during rotary drilling

  • Authors

    • Lakshminarayana C. R
    • A.K .Tripathi
    • S.K. Pal
    https://doi.org/10.14419/ijet.v7i4.21603

  • Abstract

    In this study, an attempt is made to estimate some of the important physico-mechanical properties of sedimentary rocks using second-order multiple regression mathematical models. For model development, different drilling operational parameters and equivalent dominant frequencies of vibration excited at spindle head during rotary drilling were used. The prediction capacity or performance of the developed models was evaluated by using variance account for (VAF), root mean square error (RMSE) and mean absolute percentage error (MAPE).In addition, the strength of the relationship between measured and predicted value of rock properties are also checked using the Pearson correlation coefficient. Prediction performance indicators and correlation coefficients showed that the prediction model developed through the approached method can be successfully used for preliminary investigation of physico-mechanical properties of rocks which are often used as a primary data for the design of mining and civil engineering projects.

  • References

    1. [1] Ulusay R., Gokceoglu C., Sulukcu S., Draft ISRM suggested method for determining block punch strength index (BPI).International Journal of Rock Mechanics and Mining Science, 38 (2001), 1113–1119.

      [2] Gokceoglu C., Zorlu K., A fuzzy model to predict the uniaxial compressive strength and the modulus of elasticity of a problematic rock. Engineering Applications of Artificial Intelligence, 17 (2004) 61–72. https://doi.org/10.1016/j.engappai.2003.11.006.

      [3] Basarir H., Karpuz C. Preliminary estimation of rock strength using diamond bit drilling operational parameters, International journal of mining, reclamation and environment, 30(2016) 145-164. https://doi.org/10.1080/17480930.2015.1025561.

      [4] Hardy H.R., Applications of acoustic emission techniques to rock and rock structures: A state of art- review, ASTM special technical publication, American society for testing and materials, 750(1981) 4-92.

      [5] Vardhan H., Murthy Ch. S.N., An experimental investigation of jack hammer noise with special emphasis on drilling in rocks of different compressive strengths, noise control engineering journal , 55(2007) 282-293.

      [6] Bell F.G., The physical and mechanical properties of the Fell sandstone, Engineering geology, 12(1978) 1–29. https://doi.org/10.1016/0013-7952(78)90002-9.

      [7] Howarth D.F., Rowlands J.C., Development of an index to quantify rock texture for qualitative assessment of intact rock properties, Geo-technical testing journal, 9(1986) 169–179. https://doi.org/10.1520/GTJ10627J.

      [8] Shakoor A., Bonelli R.E, Relationship between petrographic characteristics, engineering index properties and mechanical properties of selected sandstone. Bulletin of the Association of Engineering Geologists, XXVIII (1991) 55–71. https://doi.org/10.2113/gseegeosci.xxviii.1.55.

      [9] Ulusay R., Tureli K., Ider M.H., Prediction of engineering properties of a selected litharenite sandstone from its petrographic characteristics using correlation and multivariate statistical techniques. Engineering Geology, 37(1994) pp.135–157. https://doi.org/10.1016/0013-7952(94)90029-9.

      [10] Singh V.K., Singh D., Singh T.N., Prediction of strength properties of some schistose-rocks from petrographic properties using artificial neural networks, International Journal of Rock Mechanics and Mining Science, 38(2001) 269–284. https://doi.org/10.1016/S1365-1609(00)00078-2.

      [11] Basu A., Aydin A., Predicting uniaxial compressive strength by point load test: significance of cone penetration, Rock Mechanics and Rock Engineering, 39(2006a), 483–490. https://doi.org/10.1007/s00603-006-0082-y.

      [12] Diamantis K., Gartzos E., Migiros G., Study on uniaxial compressive strength, point load strength index, dynamic and physical properties of serpentinites from Central Greece: test results and empirical relations, Engineering Geology, 108(2009) , 199–207. https://doi.org/10.1016/j.enggeo.2009.07.002.

      [13] Zhang L., Engineering properties of rocks, Elsevier, Amsterdam, 2005.

      [14] Cargill J.S., Shakoor A., Evaluation of empirical methods for measuring the uniaxial compressive strength of rock, International Journal of Rock Mechanics and Mining Science and Geo-mechanics, 27(1990), 95–503. https://doi.org/10.1016/0148-9062(90)94858-Q.

      [15] Singh V.K., Singh D.P., Correlation between point load index and compressive strength for quartzite rocks, Geo-tech geol-eng, 11(1993), 269-272. https://doi.org/10.1007/BF00466369.

      [16] Boadu F.K., Predicting the transport properties of fractured rocks from seismic information, Numerical experiments, journal of applied geophysics, 44(2000), 103-113. https://doi.org/10.1016/S0926-9851(99)00020-8.

      [17] Katz O, Reches Z., Roegiers J.C., Evaluation of mechanical rock properties using a Schmidt hammer, International Journal of Rock Mechanics and Mining Science, 37(2000), 723-728. https://doi.org/10.1016/S1365-1609(00)00004-6.

      [18] Chau K.T., Wong R.H.C, Uniaxial compressive strength and point load strength, International Journal of Rock Mechanics and Mining Science and Geo-mechanics Abstracts, 33(1996), 183–188. https://doi.org/10.1016/0148-9062(95)00056-9.

      [19] Kahraman S., Evaluation of simple methods for assessing the uniaxial compressive strength of rock. International Journal of Rock Mechanics and Mining Science, 38(2001), 981–994. https://doi.org/10.1016/S1365-1609(01)00039-9.

      [20] Altindag R., Correlation between p-wave velocity and some mechanical properties for sedimentary rocks, the journal of the southern African institute of mining and metallurgy, 122(2012), 229-237.

      [21] Scoble M., Peck J., A technique for ground characterization using automated production drill monitoring, International Journal of Surface Mining Reclamation Environment , 1(2007) 41–54. https://doi.org/10.1080/09208118708944101.

      [22] Finfinger G., Wilson G., Peng S., Thomas B., Gu Q., An approach to identifying geological properties from roof bolter drilling parameters, Proc. 19th Int. Conf. Gr. Control Min , (2000), 1–11.

      [23] Hatherly P., Leung R., Scheding S., Robinson D., Drill monitoring results reveal geological conditions in blasthole drilling, International journal of rock mechanics and mining sciences , 78 (2015), 144–154. https://doi.org/10.1016/j.ijrmms.2015.05.006.

      [24] Basarir H., Wesseloo J., Karrech A., Paternak E., Dyskin A., The use of soft computing methods for the prediction of rock properties based on measurement while drilling data. In eighth Int. Conf. Deep High Stress Min., J. Wesseloo,eds. Australian Centre for Geo-mechanics, Perth, 2017, 537–551.

      [25] Mohammad B., Robert H., Processing of measurement while drilling data for rock mass characterization, Int. J. Min. Sci. Technology, 26 (2016), 989–994. https://doi.org/10.1016/j.ijmst.2016.09.005.

      [26] Mozaffari S., Measurement While Drilling System in Aitkin Mine, Lulea University of Technology, Lulea, 2007.

      [27] Turtola H., Utilization of Measurement While Drilling to Optimise Blasting in Large Open Pit Mining, Lulea University of Technology, Sweden, 2001.

      [28] Schmidt R.L., Drillability Studies-Percussive drilling in the field, US Bureau of Mines, RI 7684, 1972.

      [29] Kharaman S., Rotary and percussive drilling prediction using regression analysis. Int J. Rock Mech. Min Sci, 36(1999), 981-989. https://doi.org/10.1016/S0148-9062(99)00050-9.

      [30] Li Z., Itakura K., Prediction of Rock Strength from Mechanical Data of Drilling, 22nd World Mining Congress & Expo, Eskikaya, S. Ed, (2011), 407-412.

      [31] Vardhan H., Adhikari G.R, Govindaraj M, Estimating rock properties using sound level during drilling. International journal of rock Mechanics and Mining Science, 46(2009), 604–12. https://doi.org/10.1016/j.ijrmms.2008.07.011.

      [32] Rajesh B., Vardhan H., Govindaraj M., Prediction of uniaxial compressive strength, tensile strength and porosity of sedimentary rocks using sound level produced during rotary drilling, Rock Mech. Rock Eng ,44(2011), 613–20. https://doi.org/10.1007/s00603-011-0160-7.

      [33] Zborovjan M., Lesso I., Dorcak L. Acoustic identification of rocks during drilling process, Acta MontanisticaSlovaca , 8(2003), 191–93.

      [34] Miklusova V., Usalova L., Ivanicova L and Krepelka F. Acoustic signal-new feature in monitoring of rock disintegration process, Contrib. Geo-phys. Geodesy SAS , 36(2006), 125–33.

      [35] Miranda F., Impact of the seismic while drilling technique on exploration wells. Int. J. Rock Mech. Min. Sci. Geomech, 33(1996), 360A. https://doi.org/10.1016/S0148-9062(97)87437-2.

      [36] Rostami J., Kahraman S., Naeimipour A., Collins C., Rock characterization while drilling and application of roof bolter drilling data for evaluation of ground conditions, Journal of Rock Mechanics and Geotechnical Engineering, 49(2016), 585-591.

      [37] Mowrey G.L., Michael J., Pazuchanic, Applying Adaptive Signal Discrimination toVibrational Coal Interface Detection, SME Annual Meeting, Salt Lake City, UT, February 26- March 1, 1990.

      [38] Gradl C., Eustes A.W., Thonhauser G., An analysis of noise characteristics of drill bits, Proceedings of Society of Petroleum Engineers, Annual Technical Conference, Denver SPE-115987, 2008.

      [39] Futo J., Usalova L., Ivanicova L., Optimization of rock disintegration using the acoustic signal, J. ActaMontanisticaSlovaca , 8(2003), 174-175.

      [40] Patrik F., Jan K., Milan D., Igor L., Marek L., Measurement of processing of vibro-acoustic signal from the process of rock disintegration by rotary drilling, Measurement, 56 (2014), 178-193. https://doi.org/10.1016/j.measurement.2014.06.025.

      [41] Inayatullah O., Faizal H., Hew W.H., The assessment of material characteristic using vibration signal analysis during drilling process, Applied Mechanics and Materials, Trans Tech Publications, Switzerland,598(2014),3-7. https://doi.org/10.4028/www.scientific.net/AMM.598.3.

      [42] Brown E.T., Rock charecterisation testing and monitoring. In: International society for rock mechanics (ISRM) suggested methods, Pergamon, Oxford.

      [43] Gokceoglu C., A fuzzy triangular chart to predict the uniaxial compressive strength of Ankara agglomerates from their petrographic composition, Engineering Geology, 66 (2002), 39-51. https://doi.org/10.1016/S0013-7952(02)00023-6.

      [44] Yilmaz I., Yuksek A.G, An example of artificial neural network application for indirect estimation of rock parameters. Rock mech rock-engineering,41(2008),781-795. https://doi.org/10.1007/s00603-007-0138-7.

      [45] Yilmaz I., Yuksek A.G, Prediction of strength and elasticity modulus of gypsum using multiple regression, ANN, ANFIS models and their comparison. International journal of rock mechanic mining-science,46(2009),803-810. https://doi.org/10.1016/j.ijrmms.2008.09.002.

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  • How to Cite

    C. R, L., .Tripathi, A., & Pal, S. (2018). Prediction of physico-mechanical properties of rocks using dominant frequency of vibration during rotary drilling. International Journal of Engineering & Technology, 7(4), 3360-3366. https://doi.org/10.14419/ijet.v7i4.21603

    Received date: 2018-11-25

    Accepted date: 2018-11-25