Comparison of Coal Reserve Estimation Methods, Case Study PT. Bukit Asam Area, South Sumatra, Indonesia

https://doi.org/10.22146/jag.58366

Taufiq Muhammad Wijayanto(1), Wahyu Wilopo(2*), I Gde Budi Indrawan(3), Sunarko Sunarko(4)

(1) Geological Engineering Department, Faculty of Engineering, Gadjah Mada University, Indonesia
(2) Geological Engineering Department, Faculty of Engineering, Gadjah Mada University, Indonesia
(3) Geological Engineering Department, Faculty of Engineering, Gadjah Mada University, Indonesia
(4) PT. Bukit Asam Tbk
(*) Corresponding Author

Abstract


The calculation of coal reserves is influenced by the dimensions or size of the coal deposit. There are several types of coal reserve calculation methods, and the use of these methods is adjusted to existing geological conditions. Each method will produce a different amount of coal reserves, although the location is the same. Besides, the amount of coal mining that can be produced is primarily determined by the mine design, especially the optimal slope as a basis for mining pits in the coal extraction. This research aims to estimate coal reserves based on existing pit designs using a variety of methods. Data on coal thickness and topography are used as the basis for reserves estimation. Coal reserve estimation is conducted in several methods: nearest neighbor point (NNP), inverse distance weighted (IDW), and kriging using Surfer 13 software. The results of the reserves estimation indicate that kriging is the best method by providing the smallest error value with an RMSE value of 0.67 and coal reserves of 27,801,543 tons.

Keywords


coal, reserve estimation, NNP, IDW, kriging

Full Text:

PDF


References

Aydin, E.S., Yucel, O., and Sadikoglu, H. (2018) Nu-merical Investigation of Fixed - Bed Downdraft Woody Biomass Gasification, in Dincer, I., Col-pan, C.O., and Kizilkan, O. Exergetic, Energeticand Environmental Dimensions: Academic Press, p. 323 – 339.

Badan Standarisasi Nasional (BSN) (1999) Pedoman Pelaporan, sumberdaya dan cadangan mineral. SNI 13-6011-1999: Standar Nasional Indonesia: p. 1 – 13. Bishop, M.G (2001) South Sumatra Basin Province, Indonesia: The Lahat/Talang Akar Cenozoic Total Petroleum System.U.S.Geological Survey Open-File Report: 22 p.

Bostan, P.A., Heuvelink, G.B.M., and Akyurek, S.Z. (2012) Comparison of regression and kriging techniques for mapping the average annual precipitation of Turkey: International Journal of Applied Earth Observation and Geoinformation vol. 19, p. 115 – 126.

Bowles, J. E. (1979) Physical and Geotechnical Properties of Soils, McGraw-Hill Book Compan. New York, 478 pp.

Burrough, P.A., and McDonnell, R.A. (1998) Principles of Geographical Information Systems. Oxford University Press, Oxford. 332p.

Dag, A. and Ozdemir, A.C. (2013) A Comparative Study for 3D Surface Modeling of Coal Deposit by Spatial Interpolation Approaches. Resource Geology, Vol. 63, No 4: p. 394-403.

De Coster, D.L. (1974) The Geology of The Central and South Sumatra Basins, Proceedings Indonesia Petroleum Association 3rd Annual Convention p.77-110.

Golden Software (2015) Surfer 13 Full User’s Guide. Golden Software, 168 p.

Hartman, H.L. (1992) SME Mining Engineering Handbook. Society for Mining, Metallurgy, and Exploration Inc.,

Journel, A.G. (1993) Geostatistics: Roadblocks and Challenges, In Soares A, 1992, Geostatistics Tróia ’92: Quantitative Geology and Geostatistics, vol 5, p. 213 – 224.

Laksono, A.D., Muchsin, A.M., dan Guntoro, D. (2018) Permodelan dan Estimasi Sumberdaya Batubara (Studi kasus wilayah IUP CV. Atap Tri Utama Kecamatan Muarajawa, Kabupaten Kutai Kartanegara, Provinsi Kalimantan Timur). Prosiding Teknik Pertambangan: p. 49 – 56.

Oktaviani, K. (2018) Rekonsiliasi Data, Sumber Daya Batubara Indonesia Kini 166 Miliar Ton, Cadangan 37 Miliar Ton (Accessed June 2019).

Pujobroto, A. (1997) Organic petrology and geochemistry of Bukit Asam coal, South Sumatra, Indonesia, Doctor of Philosophy thesis, School of Geosciences, University of Wollongong. 612p.

Purnomo, H. (2018) Aplikasi Metode Interpolasi Inverse Distance Weighting dalam Penaksiran Sumberdaya Laterit Nikel, Angkasa: Jurnal Ilmiah Bidang Teknologi, 10(1), p. 49-60.

Rossi, M.E., and Deutsch, C.V. (2014) Mineral Resource Estimation, Springer, 337 p.

Setianto, A., and Triandini, T. (2013) Comparison of Kriging and Inverse Distance Weighted (IDW) Interpolation Methods in Lineament Extraction And Analysis. J. SE Asian Appl. Geol, Vol. 5(1), p 21-29.

Stalder, P. (1976) A review of the south sumatra coal basin. Shell Minjbouw N.V., Jakarta. 17p.

Subastedjo (1983) Penyelidikan Geologi Untuk Perencanaan Tambang Batubara: Conto Kasus Perencanaan Tambang Batubara Muara Tiga, Bukit Asam, Sumatra Selatan. PIT XII Ikatan Ahli Geologi Indonesia, 13: p. 209 – 213.

Susilawati, R. and Ward, C.R. (2006) Metamorphism of mineral matter in coal from the Bukit Asam deposit, South Sumatra, Indonesia. International Journal of Coal Geology 68: p. 171 – 195.

Widodo, S., Anshariah, dan Masulili, F.A. (2015) Studi Perbandingan Antara Metode Poligon Dan Inverse Distance Pada Perhitungan Cadangan Ni PT. Cipta Mandiri Putra Perkasa Kabupaten Morowali, Jurnal Geomine, Vol 03, 148 – 154.

Wijayanto, T.M. (2020) Desain Pit Tambang dan Perencanaan Operasional Produksi Tambang Batubara Unit Pertambangan Tanjung Enim PT. Bukit Asam Tbk (Unpublished Thesis): Universitas Gadjah Mada, 272 p.

Wood Jr, G.H., Kehn, T.M., Carter, M.D., and Culbertson, W.C. (1983) Coal Resource Classification System of the U.S. Geological Survey. The United States of America, United States Geological Survey: 65 p.

Yang, C.S., Kao, Szu-Pyng, Lee, F.B., Hung, P.-S. (2004). Twelve different interpolation methods: A case study of Surfer 8.0. Proceedings of the XXth ISPRS Congress: p. 778-785.



DOI: https://doi.org/10.22146/jag.58366

Article Metrics

Abstract views : 3057 | views : 3836

Refbacks

  • There are currently no refbacks.


Copyright (c) 2021 Taufiq Muhammad Wijayanto, Wahyu Wilopo, I Gde Budi Indrawan, Sunarko Sunarko

Creative Commons License
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Journal of Applied Geology Indexed by:

 

Creative Commons License
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.