Literatur Review Optimasi Jarak Lubang Bor dengan Metode Drill Hole Spacing Analysis (DHSA) dan Metode Drill Hole Spacing Optimization with Conditional Simulations

Septi Wulandari, Eddy Winarno, Nur Ali Amri

Abstract


Kegiatan eksplorasi merupakan kegiatan yang pasti dilakukan sebelum aktivitas penambangan dimulai. Pada tahap ini dilakukan pengeboran yang bertujuan untuk mendapatkan data yang akan digunakan dalam klasifikasi sumberdaya dan cadangan. Pengeboran membutuhkan biaya tinggi yang harus dikeluarkan oleh perusahaan untuk mendapatkan tingkat keyakinan yang tinggi sebelum melanjutkan ke tahapan selanjutnya. Penelitian ini dilakukan untuk mengetahui metode dalam menentukan jarak bor optimum, sehingga diperoleh tingkat keyakinan tinggi dalam estimasi dan klasifikasi sumberdaya dengan biaya yang efisien berdasarkan studi literatur dari penelitian yang sudah ada sebelumnya. Hasil yang diperoleh adalah terdapat dua metode dalam analisis jarak lubang bor yaitu (a) Drill Hole Spacing Analysis (DHSA) dan (b) Drill hole spacing optimization with conditional simulation. DHSA diperhitungkan dengan metode Global Estimation Variance atau GEV, sedangkan metode conditional simulation dengan dua pendekatan utama yaitu Turning Bands Metode (TBM) dan Sequential Gaussian Simulation (SGS).

Exploration activities are activities that must be carried out before mining activities begin, at this stage drilling is carried out with the aim of obtaining data that will be used in the classification of resources and reserves. Drilling activities require high costs that must be incurred by the company to get a high level of confidence before proceeding to the next stage. This research was conducted to determine the method in determining the optimum drill spacing, so that a high level of confidence is obtained with an efficient cost based on literature studies from existing research. The results obtained are two methods in drill hole analysis, namely (a) Drill Hole Spacing Analysis (DHSA) and (b) Drill hole spacing optimization with conditional simulation. DHSA is calculated using the Global Estimation Variance or GEV method, while the conditional simulation method is calculated using indikators other than geological conditions that affect drilling activities.


Keywords


Jarak Titik Bor;DHSA;Conditional Simulations

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References


Almeida, A.S. and Journel, A.G., “Joint simulation of multiple-variables with a Markov-type coregionalization model,” Mathematical Geology.,1994, vol 2, no. 5. P. 565-588

Annels, A. E, “Mineral Deposit Evaluation: A Practical Approach.”, 1991, Netherlands: Springer.

Australian guidelines for the estimation and classification of coal resources, “Prepared by the Guidelines Review Committee on behalf of the Coalfields Geology Council of New South Wales and the Queensland Resources Council.”, 2014.

Bertoli, O., A. Paul, Z. Casley, and D. Dunn, “Geostatistical drill hole spacing analysis for coal resource classification in the Bowen Basin, Queensland.,” International Journal of Coal Geology., 2013, 112, 107-113

Boucher, A., R. Dimitrakopoulos, and J.A. Vargas-Guzman, “Joint Simulations, Optimal Drillhole Spacing and The Role of The Stockpile,” In: O. Leuangthong and C. V. Deutsch (eds.), 2004, Geostatis Banff, pp. 35-44.

Cornah, A., Vann, J., Driver, I., “Comparison of three geostatistical approaches to quantify the impact of drill spacing on resource confidence for a coal seam (with acase example from Moranbah North, Queensland, Australia).” Int. J. Coal Geol., 2014, 112, 114–124.

Deutsch, C.V., Journel, A.G., “GSLIB: Geostatistical Software Library and User's Guide. Oxford University Press, 1992, New York.

Diehl, P., and M. David., “Classification of Ore Reserves/Resources Based on Geostatictical Methods,”CIM. Bull., 1982, 75 (838): 127-35.

Goria, S., A. Galli, and M. Armstrong. “Quantifying the impact of additional drilling on an open pit gold project,” In: 2001 annual conference of the International Association for Mathematical Geology. Cancun, 2001, Mexico

Heriawan, M. N., P. Pillayati, L. E. Widodo, and A. H. Widayat, “Drill hole spacing optimization of non-stationary data for seam thickness and total sulfur: A case study of coal deposits at Balikpapan Formation, Kutai Basin, East Kalimantan.” International Journal of Coal Geology., 2020, 223(March), 103466

Journel, A., “Geostatistics for the conditional simulation of ore bodies,” Economic Geology 69., 1974, 673–688.

Journel, A.G., Huijbregts, C.J., “Mining Geostatistic,” Academic Press Inc. 1978, London.

Michel, D., “Geostatistical Ore Reserve Estimation.” New York: Oxford, 1977.

Nengovhela, A. C., “The Application of Geostatistics in Coal Estimation And Classification.” M. Sc Thesis. University of the Witwatersrand. Johannesburg, South Africa., 2018.

Sianturi, R. K., M. N. Heriawan, dan Syafrizal, “Analisis Spasi Lubang Bor untuk Mengevaluasi Sumberdaya Timah Aluvial dan Mineral Ikutannya di Pulau Bangka dengan Global Estimation Variance.” Dalam: Ris.Geo.Tam Vol. 30, No.2., 2020, pp. 153-170

Sianturi, R. K., dkk., “Perbandingan Tiga Pendekatan untuk Memodelkan Ketidakpastian dalam Estimasi Sumberdaya Timah dan Mineral Ikutan Timah pada Endapan Alluvial.” Dalam: Indonesian Mining Professionals Journal Volume 2., 2021, Nomor 2, November 2020: 65 – 74.

Silva, D. S. F., & Boisvert, J. B., “Mineral resource classification: a comparison of new and existing techniques.” Journal of The Southern African Institute of Mining and Metallurgy., 2014, 114(March), 265–273

Snowden, D.V., “Practical interpretation of resource classification guidelines.” AusIMM., 1996, Annual Conference.

South African National Standard, “South African guide to the systematic evaluation of Coal Resources and Coal Reserves.” SANS 10320:2004.,2004, ISBN 0-626-16174-6.

Souza, L. E., J. F. C. L. Costa, and J.C. Koppe, “Comparative Analysis of the Resource Classification Techniques: Case Study of the Conceicao Mine, Brazil.” Applied Earth Science, 2010.

Standard Nasional Indonesia, “Pedoman pelaporan sumberdaya dan cadangan mineral.” SNI 4726:2019, 2019.

Standard Nasional Indonesia, “Pedoman pelaporan sumberdaya dan cadangan batubara.” SNI 5015:2019, 2019.

Williams, C. S., K. Henderson, S. Summers. Practical application of drill hole spacing analysis in coal resource estimation. Peabody Energy Australia. South Brisbane, Qld 4101

Vargas, A. M., “Optimizing grade-control drillhole spacing with conditional simulation.” Minería y Geología., 2017, vol. 33, no. 1, pp. 1-12

Zulkarnain, I., and W. S. Bargawa, “Classification of Coal Resources Using Drill Hole Spacing Analysis (DHSA).” Journal of Geological Resource and Engineering 6., 2018, pp. 151-159




DOI: https://doi.org/10.31284/j.semitan.j.2022.v1i1.4953

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