Identify coal distribution based on resistivity values using the Wenner configuration geoelectric method in Petai Village, Singingi Hilir District, Kuantan Singingi Regency

Hijrah Septia Anisa, Usman Malik, Krisman Sabar, Sherly Mutiara

Abstract


Research has been conducted on the distribution of coal using the Wenner configuration electric resistivity method. This research was conducted in Petai Village, Singingi Hilir District, Kuantan Singingi Regency, Riau Province. Data were collected using a resistivity meter. The data obtained are current data and potential differences. Data processing using Res2Dinv software whose result is in the form of resistivity of subsurface 2D images. The resistivity value of rocks on track 1 ranges from 28 – 23,584 Ωm with a depth of up to 12.4 meters. The resulting layers on track one include sand, sandstone, and conglomerate rocks. The resistivity values of the second trajectory range from 12.2 – 17,447 Ωm with a depth of up to 12.4 meters. The first layer has resistivity values ranging from 12.2 – 97.4 Ωm identifying the presence of sand. A second layer with resistivity values ranging from 97.4 – 275 Ωm identified the presence of anthracite-grade coal. A third layer with a resistivity value of 776 – 2,191 Ωm identified the presence of sandstone. A fourth layer with resistivity values 6,182 – 17,447 Ωm identified the presence of conglomerate rocks. The result of the interpretation of tracks one and two is that the distribution of coal is found on the second trajectory with a distribution pattern to the east.  The distribution of coal spreads laterally on the trajectory of two research sites.

Keywords


Coal; geoelectric; Res2Dinv; resistivity; Wenner configuration

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References


1. Santoso, E. (2021). Implementasi Peraturan Bupati Kuantan Singingi Nomor 57 Tahun 2017 Tentang Sistem Informasi Desa di Kabupaten Kuantan Singingi (Studi di Desa Suka Damai Kecamatan Singingi Hilir). Skripsi Ilmu Pemerintahan, Universitas Islam Riau.

2. Afrari, I. (2016). Identifikasi limbah batubara pada struktur bawah permukaan tanah dengan menggunakan metode geolistrik. Skripsi Fisika, Universitas Negeri Semarang.

3. Herlinda, R. N. & Malik, U. (2023). Identifikasi lapisan bawah tanah dengan metode geolistrik konfigurasi Wenner di area Wisata Air Panas Sungai Pinang Kabupaten Kuantan Singingi. Komunikasi Fisika Indonesia, 20(2), 153–158.

4. Samanlangi, A. I. (2018, March). Coal layer identification using electrical resistivity imaging method in Sinjai area south Sulawesi. Journal of Physics: Conference Series, 979(1), 012048.

5. Mutiara, S., Malik, U., & Anisa, H. S. (2024). Identification of the thickness and depth of coal seams using the Schlumberger configuration geoelectric method in Petai Village, Singingi Hilir District, Kuantan Singingi Regency. Science, Technology and Communication Journal, 4(2).

6. Nurfalaq, A. (2013). Modul pelatihan geolistrik. Makasar: Universitas Hasanudin.

7. Pangesti, W. & Muhammad, J. (2024). Determination of underground water quality using geochemical methods in densely populated settlements in Kubang Jaya Village, Siak Hulu District, Kampar Regency. Science, Technology and Communication Journal, 4(2).

8. Noviardi, K. (2021). Aplikasi metode geolistrik tahanan jenis untuk menentukan resistivitas pasir, batubara, dan lempung berdasarkan miniatur model. Skripsi Teknik Geofisika, Universitas Jambi.

9. Telford, W. M. (1990). Applied geophysics second edition. Cambridge: University Press Cambridge.

10. Suknawati, I. & Malik, U. (2023). Identifikasi intrusi air laut pada akuifer menggunkan metode geolistrik. Komunikasi Fisika Indonesia, 20(1), 55–60.

11. Saroh, M. & Malik, U. (2023). Identifikasi air laut terhadap air tanah menggunakan metode geolistrik konfigurasi Schlumberger di Kelurahan Mundam Kota Dumai. Komunikasi Fisika Indonesia, 20(1), 61–68.

12. Malik, U. & Priandani, A. (2022). Analisis pengaruh intrusi air laut terhadap air tanah menggunakan metode geolistrik konfigurasi Schlumberger di Kelurahan Tanjung Kapal. Komunikasi Fisika Indonesia, 19(3), 146–153.




DOI: http://dx.doi.org/10.31258/jkfi.21.1.73-78

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