Estimation of the position and potential of aquifers using geo-electrical methods in the framework of drill wells in volcanic areas

https://doi.org/10.53730/ijpse.v6n3.13816

Authors

Keywords:

aquifer, drilled well, geoelectric, position, potential

Abstract

Water sources in volcanic areas are rather difficult to obtain. For this reason, a method is needed to determine the existence of a water source. One of them is the Geoelectric method. In this study, the obtained resistivity physical quantities are used to determine the position and calculate the aquifer potential. In this study, three groups of rocks were found, namely, the rock group with resistivity values of 174 Ω.m – 400 Ω.m, this group is thought to have no water, not suitable for drilling. The rock group by resistivity 115 Ω.m - 174 Ω.m, this group is suspected of having water but little, not suitable for drilling. Rock group by the resistivity of 115 Ω.m below, namely at position 115-155 this area is the position of the aquifer, suitable for drilling, in this area, it is suspected that there is an aquifer with an average depth monitored by the tool 16.5 - 42.5 m or a thickness of 26 m. The transmissivity value obtained was 15.47 (m2/day).

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References

Chandra, S., Ahmed, S., Ram, A., & Dewandel, B. (2008). Estimation of hard rock aquifers hydraulic conductivity from geoelectrical measurements: a theoretical development with field application. Journal of Hydrology, 357(3-4), 218-227. https://doi.org/10.1016/j.jhydrol.2008.05.023

Darisma, D., Fernanda, F., & Syukri, M. (2020). Investigation of Groundwater Potential using Electrical Resistivity Method and Hydraulic Parameters in Lam Apeng, Aceh Besar, Indonesia. Journal of Geoscience, Engineering, Environment, and Technology, 5(4), 185-190.

Helena, B., Pardo, R., Vega, M., Barrado, E., Fernandez, J. M., & Fernandez, L. (2000). Temporal evolution of groundwater composition in an alluvial aquifer (Pisuerga River, Spain) by principal component analysis. Water research, 34(3), 807-816. https://doi.org/10.1016/S0043-1354(99)00225-0

Hudak, P. F. (2004). Principles of hydrogeology. CRC Press.

Khusna, I. A., & Koesuma, S. (2021, February). Determination of Groundwater Potential in Pulutan Wetan Village Wuryantoro District Wonogiri Using Vertical Electrical Sounding Method. In Journal of Physics: Conference Series (Vol. 1825, No. 1, p. 012011). IOP Publishing.

Kiessling, D., Schmidt-Hattenberger, C., Schuett, H., Schilling, F., Krueger, K., Schoebel, B., ... & CO2SINK Group. (2010). Geoelectrical methods for monitoring geological CO2 storage: First results from cross-hole and surface–downhole measurements from the CO2SINK test site at Ketzin (Germany). International Journal of Greenhouse Gas Control, 4(5), 816-826. https://doi.org/10.1016/j.ijggc.2010.05.001

Liu, Z., Ma, Q., Cai, B., Liu, Y., & Zheng, C. (2021). Risk assessment on deepwater drilling well control based on dynamic Bayesian network. Process Safety and Environmental Protection, 149, 643-654. https://doi.org/10.1016/j.psep.2021.03.024

Loke, M. H., Chambers, J. E., Rucker, D. F., Kuras, O., & Wilkinson, P. B. (2013). Recent developments in the direct-current geoelectrical imaging method. Journal of applied geophysics, 95, 135-156. https://doi.org/10.1016/j.jappgeo.2013.02.017

Maitama, A., Hotoro, Y., & Ali, M. U. (2022). Evaluation of Groundwater Potential Using Electrical Sounding Technique at General Hospital Wudil, Kano. IOSR Journal of Applied Physics (IOSR-JAP), 14(2), 6–15.

Miller, H. G., & Singh, V. (1994). Potential field tilt—a new concept for location of potential field sources. Journal of applied Geophysics, 32(2-3), 213-217. https://doi.org/10.1016/0926-9851(94)90022-1

Pittman, J. K., Dean, A. P., & Osundeko, O. (2011). The potential of sustainable algal biofuel production using wastewater resources. Bioresource technology, 102(1), 17-25. https://doi.org/10.1016/j.biortech.2010.06.035

Pujianiki, N. N., & Simpen, I. N. (2018). Aplikasi Geolistrik pada Pemetaan Daerah Intrusi Air Laut di Pantai Candidasa. Media Komunikasi Teknik Sipil, 24(1), 29-34.

Seldén, A. I., Lundholm, C., Edlund, B., Högdahl, C., Ek, B. M., Bergström, B. E., & Ohlson, C. G. (2009). Nephrotoxicity of uranium in drinking water from private drilled wells. Environmental research, 109(4), 486-494. https://doi.org/10.1016/j.envres.2009.02.002

Simpen, I. N., & Redana, I. W. (2019). Searching Ground Water Sources by Geoelectric Method for Tourism Developmentin Taman Harmoni Bali Bukit Asah Bugbug Karangasemregency, Bali Propince. International Journal of Advanced Engineering, Management and Science, 5(4).

Simpen, I. N., Redana, I. W., & Umratul, I. (2018). Aquifers selection based on geoelectric method data in the framework of drilling wells: A case study on international hospital project in Nyitdah Tabanan Bali. International Journal of Physical Sciences and Engineering, 2(2), 68–78. https://doi.org/10.29332/ijpse.v2n2.151

Solehudin, A., Permana, E., & Salam, H. (2022). Identification Of Soil Corrosion Potential For Planning In The Gas Pipeline Cathodic Protection System. Spektra: Jurnal Fisika Dan Aplikasinya, 7(1), 29-38.

Sukarasa, I. K., & Paramarta, I. B. A. (2020). Identification of the groundwater existence by geoelectrical method. International Journal of Physical Sciences and Engineering, 4(2), 36–42. https://doi.org/10.29332/ijpse.v4n2.450

Telford, W. M., Telford, W. M., Geldart, L. P., & Sheriff, R. E. (1990). Applied geophysics. Cambridge university press.

Todd D.K. (1980). Groundwater Technology. John Wiley and Son.

Ugwu, N. U., Ranganai, R. T., Simon, R. E., & Ogubazghi, G. (2016). Geoelectric Evaluation of Groundwater Potential and Vulnerability of Overburden Aquifers at Onibu-Eja Active Open Dumpsite, Osogbo, Southwestern Nigeria. Journal of Water Resource and Protection, 08(03), 311–329.

Wikipedia. (2022). Desa Songan Kintamani Bangli Bali.

Ying, G. G., Kookana, R. S., & Dillon, P. (2003). Sorption and degradation of selected five endocrine disrupting chemicals in aquifer material. Water research, 37(15), 3785-3791. https://doi.org/10.1016/S0043-1354(03)00261-6

Yoon, H., Jun, S. C., Hyun, Y., Bae, G. O., & Lee, K. K. (2011). A comparative study of artificial neural networks and support vector machines for predicting groundwater levels in a coastal aquifer. Journal of hydrology, 396(1-2), 128-138. https://doi.org/10.1016/j.jhydrol.2010.11.002

Published

2022-12-31

How to Cite

Simpen, I. N. (2022). Estimation of the position and potential of aquifers using geo-electrical methods in the framework of drill wells in volcanic areas. International Journal of Physical Sciences and Engineering, 6(3), 119–127. https://doi.org/10.53730/ijpse.v6n3.13816

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Section

Peer Review Articles