Pemodelan Endapan dan Estimasi Sumberdaya Batubara dengan Block Model di PT Batubara Jambi Lestari Kecamatan Mestong Kabupaten Muaro Jambi

Authors

DOI:

https://doi.org/10.56099/ophi.v7i2.p67-74

Keywords:

estimation, resources, coal, block model, NNP

Abstract

Jambi Province holds significant potential in energy and mineral resources, particularly coal, part of which has been exploited while others are still under exploration. PT Batubara Jambi Lestari plans to develop an open-pit mine in the northern block of its IUP-OP area, necessitating deposit modelling and coal resource estimation as the basis for mine planning. Thus far, coal modelling has generally relied on stratigraphic models for geological interpretation, whereas the application of block models to coal deposits remains limited. This study seeks to address this gap by examining the use of block models in coal deposit modelling. Resource estimation was conducted using the Nearest Neighbour Point (NNP) method, selected due to its suitability for relatively homogeneous coal deposits, computational efficiency, and minimal bias against local variability. The research focused on the northern block of the Muara Enim Formation, the main coal-bearing formation, with modelling carried out through correlation between drill holes. The resulting model illustrates a deposit shaped like a horse back, characterized by coal seams and sediments arching upward due to compressional forces, with an average dip of 12°. The application of the block model required manual adjustments through a trial-and-error approach to ensure consistency with the geological database, but it successfully represented the geological conditions. The estimation results indicate a measured coal resource of 2,013,750 tons, which provides an important reference for mine planning at PT Batubara Jambi Lestari.

References

Badan Standarisasi Nasional. 2019. Pedoman Pelaporan Hasil Eksplorasi, Sumberdaya, dan Cadangan Batubara, SNI 5015.

Burhanudin, B., Husain, J. R., & Bakri, H. (2023). Pembuatan Blok Model Estimasi Sumberdaya Nikel Laterit Dengan Metode Inverse Distance di Wilayah Blok “X” Pada PT. Vale Indonesia Tbk. Journal of Mining Insight, 1(1), pp. 26-33.

CNN Indonesia. 2022. Jambi Miliki Cadangan Batu Bara Yang Baru Akan Habis 100 Tahun Lagi. Diakses 6 Oktober 2022 pada https://www.cnnindonesia.com/ekonomi/20221024072742-85-864388/jambi-miliki-cadangan-batu-bara-yang-baru-akan-habis-100-tahun-lagi

Dinas Energi Sumber Daya Mineral Provinsi Jambi. 2020. (https://esdm.jambiprov.go.id/gambaranprovinsi diakses 26 Oktober 2022)

Jambiekspres. 2023. Harusnya Rp 163 Triliun tapi Nilai Produksi Batu Bara Jambi Hanya Tecapai Rp 70 Triliun, Semua Gegara Ini. (https://jambiekspres.disway.id/read/656971/harusnya-rp-163-triliun tapi-nilai-produksi-batu-bara-jambi-hanya-tecapai-rp-70-triliun-semua-gegara-ini diakses 6 Juli 2023)

Kawalo, G. A. Y., Saismana, U., & Melati, S. (2019). Pemodelan endapan batubara dan perancangan life of mine Pit F pada PT. Borneo Indobara (BIB) Kecamatan Angsana. Jurnal Himasapta, 4(2). pp. 1-5.

Kurnianto, A., Setiahadiwibowo, A. P., & Giamboro, W. S. (2019). Estimasi Sumberdaya Batubara Menggunakan Metode Nearest Neighbour Point, Inverse Distance Weighting, Dan Kriging Pada Daerah Muara Bungo, Sumatera Selatan. Jurnal Geocelebes, 3(2), pp. 75-82.

Pakudewa, R. P., Tobing, R. F. L., & Putri, R. H. K. (2020). Perbandingan Metode Nearest Neigbour Point (NNP) dan Metode Inverse Distance Weighted (IDW) dalam mengestimasi ketebalan batubara di Kec. Tanah Grogot, Kab. Paser, Kalimantan Timur. Prosiding Seminar Teknologi Kebumian dan Kelautan (SEMITAN). 2(1), pp. 227-231.

Pulunggono A. 1974. Recent Knowledge of Hydrocarbon Potensials in Sedimentary Basins of Indonesia. AAPG Bulletin, 58(7), pp. 1454. https://doi.org/10.1306/83D91867-16C7-11D7-8645000102C1865D

Ramadhana, I., Mardiana, U., Muljana, B., & Irvan, H. M. (2022). Fasies Pengendapan Batubara Formasi Muara Enim di Tambang Air Laya, Cekungan Sumatra Selatan. Geoscience Journal, 6(4), pp. 994-1005.

Rizal, Y. (2021). Geologi Batubara Daerah Tanjung Enim, Kabupaten Muara Enim, Provinsi Sumatera Selatan. Bulletin of Geology, 5(2), pp. 589-611.

Sari, A. S., Basuki, M., & Iriawan, S. A. (2017). Pemodelan Perhitungan Cadangan Batubara Dengan Perangkat Lunak Pada PT. Mitra Abadi Mahakam Provinsi Kalimantan Selatan. Jurnal of Information Technology, 2(2). pp. 11-20.

Supranto J. 2000. Statistik Teori dan Aplikasi (6th ed) Jilid 1. Jakarta. Erlangga

Sundoyo. 2014. Perhitungan sumberdaya batubara berdasarkan USGS circular No. 891 Tahun 1983 pada CV. Amindo Pratama. JGP (Jurnal Geologi Pertambangan), 1(14), pp. 36-50.

Yulanda, Y. A., Hakim, M. E., & Arafat, R. (2022). Analisis variasi penaksiran sumberdaya batubara menggunakan Metode Inverse Distance Weight dan Ordinary Kriging. Jurnal Pertambangan, 6(2), pp. 71-76.

Published

15-09-2025

How to Cite

Aliffano, Y., Yulanda, Y. A., & Hakim, M. E. (2025). Pemodelan Endapan dan Estimasi Sumberdaya Batubara dengan Block Model di PT Batubara Jambi Lestari Kecamatan Mestong Kabupaten Muaro Jambi. OPHIOLITE: Jurnal Geologi Terapan, 7(2), 67–74. https://doi.org/10.56099/ophi.v7i2.p67-74

Issue

Section

Articles