Korelasi Spasial Antara Klasifikasi Rock Mass Rating (RMR) Dan Jenis Alterasi Batuan Pada Tambang Emas Bawah Tanah Menggunakan Metode Indicator Kriging

Authors

  • Alfin Ari Nugraha Nugraha
  • Mohamad Nur Heriawan Heriawan Kelompok Keahlian Eksplorasi Sumberdaya Bumi, Fakultas Teknik Pertambangan dan Perminyakan, Institut Teknologi Bandung
  • Rizky Ardiansyah Tambang, PT Cibaliung Sumberdaya, Kabupetan Pandeglang, Jawa Barat

DOI:

https://doi.org/10.33536/jg.v7i03.1379

Keywords:

geostatistics, RMR, alteration, indicator kriging, spatial correlation

Abstract

This study is motivated by how important the geotechnic recommendation for supporting the underground mine. Recommendations that will ensure the production will be providing the benefits to the company. Geostatistical methods could support the geotechnical recommendation. The purpose of this study is to determine the spatial correlation between Rock Mass Rating (RMR) classification and the types of rock alteration. The type of RMR classification and rock alteration data are categorical type, so they could be converted to the indicator data 1 and 0 (binary). One of the geostatistical estimation methods for indicator data is Indicator Kriging (IK). The dataset was obtained from drill core that taken around 30 drills in underground gold mine at Pandeglang, Banten Province. The correlation between RMR classification and type of rock alteration isassessed from their proportion. The result showed that klorite, silisified, and epidote-kloritehave strong correlation with fair RMR, meanwhile illite has strong correlation with poor RMR.

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References

Angeles, A.C., Prihatmoko, S., dan Walker, J. S., 2002. Geology and alteration-mineralization characteristics of the Cibaliung epithermal gold deposit, Banten, Indonesia. Resource Geology, 52(4), 329-339.

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Bieniawski, Z.T., 1979. The geomechanics classification in rock engineering application. Proceedings 4th International Congress on Rock Mechanics, Montreux, 2-8 September 1979, Vol. 2, 41-48.

PT Cibaliung Sumberdaya (CSD), 2013. Unpublished Internal Report, Jakarta. Schabenberger, O., dan Gotway, C.A., 2005. Statistical Method for Spatial Data Analysis. Taylor & Francis Group, 512 p.

You, K., dan Lee, J.S., 2006. Estimation of rock mass classes using the 3 dimensional multiple indicator kriging technique. Monograph Title: Rock chain 1: A set of codes for the studies of blocks instability inside a tunnel, Serial: Tunnelling and Underground Space Technology, 21(3-4), 229

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Published

31-12-2019

How to Cite

Korelasi Spasial Antara Klasifikasi Rock Mass Rating (RMR) Dan Jenis Alterasi Batuan Pada Tambang Emas Bawah Tanah Menggunakan Metode Indicator Kriging. (2019). Jurnal Geomine, 7(03), 190-202. https://doi.org/10.33536/jg.v7i03.1379

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