Determination Coal Mine Ultimate Pit Limit based on Kepmen ESDM No. 227.K/MB.01/MEM.B/2023 and PP 26 2022

Fanteri Aji Dharma Suparno, Siti Aminah, Haeruddin Haeruddin, Rina Lestari, Kurnia Dewi Mulyani, Emanuel Manek, Utari Retno Sulistyo Rini

Abstract


Economic factors and variables from geological resource models affect ultimate pit limit (UPL). Coal selling price, overburden stripping cost, coal mining cost, and royalties are among the economic factors taken into account in UPL. PP 26 2022 and Kepmen 227.K/MB.01/MEM.B/2023 both control the benchmark coal selling price and royalties. It takes a lot of time to determine UPL utilizing the Lerchs Grossman (LG) algorithm. UPL optimization is now feasible by integrating mining modelling software's Structured Query Language (SQL). The goal of this study is to determine UPL by maximizing coal resources at the site using the help of SQL in LG algorithm, which can optimize pits efficiently, precisely, and economically while taking the most recent laws into account. The study investigates a coal mine in Sanga-sanga, East Kalimantan. The study entails examining data processing using secondary data that was gathered for the study. Using the break-even stripping ratio (BESR) analysis approach, mining limitations are chosen. The chosen incremental stripping ratio (ISR) of 12.88 is in close proximity to the $13.41/ton break-even stripping ratio (BESR). The grid OPT015 in the optimization grid contains the incremental stripping ratio (ISR) value and considered as the UPL for the coal mine.

Keywords


pit; limit; stripping; algorithm.

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References


A. R. Shaddad et al., Rekayasa Perencanaan Tambang. TOHAR MEDIA, 2024.

A. Buelga Díaz, I. Diego Álvarez, C. Castañón Fernández, A. Krzemień, and F. J. Iglesias Rodríguez, “Calculating ultimate pit limits and determining pushbacks in open-pit mining projects,” Resources Policy, vol. 72, p. 102058, 2021, doi: https://doi.org/10.1016/j.resourpol.2021.102058.

X. Xu et al., “Ultimate Pit Limit Optimization Method with Integrated Consideration of Ecological Cost, Slope Safety and Benefits: A Case Study of Heishan Open Pit Coal Mine,” Sustainability, vol. 16, no. 13, p. 5393, 2024.

G. W. Deressa, B. S. Choudhary, and N. Z. Jilo, “Advanced bench design and technical challenges in open pit mining: a comprehensive review of stability and productivity,” Arabian Journal of Geosciences, vol. 18, no. 1, p. 28, 2025.

M. Ataee-pour, Z. Jahanbani, M. Heydari, N. Karim, and G. Hosseini, “Investigation and analysis of mining methods from the perspective of the ultimate limit determination requirement,” Journal of Environment and Sustainable Mining, vol. 3, no. 1, pp. 58–70, 2025.

G. Ares, C. Castañón Fernández, I. D. Álvarez, D. Arias, and A. B. Díaz, “Open Pit Optimization Using the Floating Cone Method: A New Algorithm,” Minerals, vol. 12, no. 4, 2022, doi: 10.3390/min12040495.

D. V Petrov, V. M. Mikhelev, and E. V Petrova, “Method for optimizing the shell of open pit mines based on parallel computing,” in Journal of Physics: Conference Series, IOP Publishing, 2021, p. 012070.

A. Rifandy and S. Sutan, “Optimasi Pit Tambang Terbuka Batubara dengan Pendekatan Incremental Pit Expansion, BESR dan Profit Margin,” Jurnal Geologi Pertambangan, vol. 2, no. 24, pp. 1–25, 2018.

I. Saputra and R. Ridhawati, “Pengaruh Earning Pershare, Harga Batu Bara Acuan Dan Nilai Tukar Terhadap Harga Saham,” Al-Kalam: Jurnal Komunikasi, Bisnis Dan Manajemen, vol. 10, no. 1, pp. 13–27, 2023.

F. Darongke, D. Rumimpunu, and S. Roeroe, “Efektivitas Undang-Undang Nomor 3 Tahun 2020 dalam Pemberian Izin Usaha Pertambangan Mineral di Indonesia,” Lex Privatum, vol. 10, no. 3, 2022.

N. W. A. A. T. Heriyadi, “Penerapan Kecerdasan Buatan Pada Penilaian Kelayakan Ekonomi Tambang Batubara,” Kurvatek, vol. 6, no. 2, pp. 175–182, 2021.

G. Ares, C. Castañón Fernández, and I. D. Álvarez, “Ultimate Pit-Limit Optimization Algorithm Enhancement Using Structured Query Language,” Minerals, vol. 13, no. 7, p. 966, 2023.

X. Xu et al., “Ultimate Pit Limit Optimization Method with Integrated Consideration of Ecological Cost, Slope Safety and Benefits: A Case Study of Heishan Open Pit Coal Mine,” Sustainability, vol. 16, no. 13, p. 5393, 2024.

H. Dehghani, R. Sakinezhad, Z. Nabavi, and N. Babanouri, “Incorporation price uncertainty into open-pit to underground mine transition,” Mineral Economics, vol. 37, no. 1, pp. 89–99, 2024.

S. Wang, B. Cao, R. Bai, and G. Liu, “Mid-long term boundary dynamic optimization of open-pit coal mine considering coal price fluctuation,” PLoS One, vol. 19, no. 2, p. e0296932, 2024.

A. V. Anas, R. Hidayat, R. Amalia, M. Ramli, N. F. Qaidahiyani, and Y. A. Disetia, “Revenue Estimation of Pit Seam 14 Quarter Mine Block Sequence Design Based on Coal Reference Price Prediction at PT Alam Jaya Pratama, East Kalimantan Province,” EPI International Journal of Engineering, vol. 3, no. 2, pp. 95–102, 2020.




DOI: https://doi.org/10.31284/j.jemt.2025.v5i2.7236

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