Aquifer Characterization through Vertical Electrical Sounding (VES), Well Logging, Petrographic Analysis, and Pumping Tests in the Monitoring Well Area, Lampung
DOI:
https://doi.org/10.70561/geocelebes.v10i2.50652Keywords:
Aquifer, Electrical Resistivity, Dar-Zarrouk Parameters, Hydrogeological ModelAbstract
This study aims to develop a calibrated interpretation framework for aquifer characterization and optimal monitoring well design at the Institut Teknologi Sumatera campus in South Lampung, Indonesia. This study employs the Vertical Electrical Sounding (VES) method using a Schlumberger configuration, with inversion processing performed to obtain a subsurface resistivity model. Dar-Zarrouk parameters were calculated to estimate aquifer hydraulic properties and were supported by well logging data and petrographic analysis for lithological identification, as well as Cooper–Jacob pumping tests for determining hydraulic parameters. The inversion results identify four subsurface layers, with the main aquifer occurring at depths greater than 75 m and characterized by resistivity values ranging from 40.49 to 71.28 Ωm. Based on well logging and petrographic analysis, two productive aquifer zones are identified at depths of 85–90 m and 110–125 m, consisting predominantly of coarse sand with minor gravel content. The Dar-Zarrouk parameter analysis indicates that the hydraulic conductivity, longitudinal conductance, transverse resistance, and transmissivity values reflect aquifer characteristics with moderate to high groundwater potential. Pumping test analysis yields a transmissivity value of 0.0051 m2/s and a hydraulic conductivity value of 9.30 × 10⁻⁵ m/s. The resulting hydrogeological model indicates that the aquifer system in the study area is classified as a confined aquifer. The integrated approach effectively reduces interpretive ambiguity, and well screen installation at depths of 90–120 m is recommended as the optimal interval for groundwater monitoring within volcanic aquifer systems.
References
Agussalim, A., Djafar, M., & Rizal, A. S. (2022). Analisis potensi debit air tanah melalui pumping test metode step draw down pada sumur bor irigasi di Desa Bonto Rannu, Kecamatan Kajang, Kabupaten Bulukumba, Sulawesi Selatan. Jurnal Fisika dan Terapannya, 9(2), 127–137. https://doi.org/10.24252/jft.v9i2.32277
Al-Mudhafar, W. J., Abbas, M. A., & Wood, D. A. (2024). Integration of electromagnetic, resistivity-based and production logging data for validating lithofacies and permeability predictive models with tree ensemble algorithms in heterogeneous carbonate reservoirs. Petroleum Geoscience, 30(1), petgeo2023-067. https://doi.org/10.1144/petgeo2023-067
Amir, H. S., Fathy, M., Reda, M., & Mostafa, T. (2025). Integrated core-log petrophysical evaluation of the Sarir Formation reservoir units, southeastern Sirte Basin, Libya. Journal of Umm Al-Qura University for Applied Sciences. https://doi.org/10.1007/s43994-025-00295-6
Ammar, A. I., & Kamal, K. A. (2019). Effect of structure and lithological heterogeneity on the correlation coefficient between the electric–hydraulic parameters of the aquifer, Eastern Desert, Egypt. Applied Water Science, 9(4), 83. https://doi.org/10.1007/s13201-019-0963-3
Archie, G. E. (1942). The electrical resistivity log as an aid in determining some reservoir characteristics. Transactions of the AIME, 146(1), 54–62. https://doi.org/10.2118/942054-G
Bahri, S., Appono, S. V., & Zulfiah. (2022). Global optimization very fast simulated annealing inversion for the interpretation of groundwater potential. Jurnal Geofisika Eksplorasi, 8(3), 225–236. https://doi.org/10.23960/jge.v8i3.233
Chakraborty, S., Yadav, A., & Chatterjee, R. (2021). Comprehensive rock physics, petrophysics workflow to correct sonic logs for improved seismic QI: Study using wells of Krishna Godavari Basin. Journal of Applied Geophysics, 192, 104394. https://doi.org/10.1016/j.jappgeo.2021.104394
Claprood, M., Gloaguen, E., Béraud, T., Blouin, M., Dupuis, C., Ferron, P., Ouellet, M., Chaussé, M., Martel, R., Paradis, D., & Ballard, J.-M. (2022). A case study using seismic reflection and well logs to reduce and quantify uncertainty during a hydrogeological assessment. Frontiers in Water, 3, 779149. https://doi.org/10.3389/frwa.2021.779149
Cooper, H. H., Jr., & Jacob, C. E. (1946). A generalized graphical method for evaluating formation constants and summarizing well-field history. Eos, Transactions American Geophysical Union, 27(4), 526–534. https://doi.org/10.1029/TR027i004p00526
Dahan, O. (2020). Vadose zone monitoring as a key to groundwater protection. Frontiers in Water, 2, 599569. https://doi.org/10.3389/frwa.2020.599569
Grandis, H. (2009). Pengantar Pemodelan Inversi Geofisika. Himpunan Ahli Geofisika Indonesia (HAGI)
Hasani, M. F., Hendrayana, H., & Taufiq, A. (2023). Determination of aquifer system using resistivity method in Pekalongan City and surrounding areas, Central Java, Indonesia. Proceedings of the 4th International Seminar on Science and Technology (ISST 2022), 7, 100–108. https://doi.org/10.2991/978-94-6463-228-6_12
Heigold, P. C., Gilkeson, R. H., Cartwright, K., & Reed, P. C. (1979). Aquifer transmissivity from surficial electrical methods. Groundwater, 17(4), 338–345. https://doi.org/10.1111/j.1745-6584.1979.tb03326.x
Juwono, A. M., Susilo, A., Hasan, M. F. R., Yunika, N. A., Annabil, A. A., Mujtaba, M. W. H., & Haniyyah, S. (2024). Investigation of groundwater sources in Banyol Hamlet Malang Regency using the geoelectrical resistivity method to overcome drought strategy. Indonesian Physical Review, 7(2), 240–248. https://doi.org/10.29303/ipr.v7i2.320
Kumalasari, I. N., Mulyasari, R., Dewanto, O., Mulyatno, B. S., Wibowo, R. C., Maulida, N. H., Hidayatika, A., Hesti, H., Dani, I., & Erfani, S. (2025). Identifikasi akuifer air tanah menggunakan metode geolistrik di Perumahan Gang Jati Baru, Hajimena, Natar, Lampung Selatan. Jurnal Riset Fisika Indonesia, 5(2), 71–78. https://doi.org/10.33019/jrfi.v5i2.6504
Li, J., Wang, W., Cheng, D., Li, Y., Wu, P., & Huang, X. (2021). Hydrogeological structure modelling based on an integrated approach using multi-source data. Journal of Hydrology, 600, 126435. https://doi.org/10.1016/j.jhydrol.2021.126435
Lodh, A. (2021). Simulating the impact of extended desertification on Indian hydroclimate using ICTP-RegCM4.4.5.10 model. Journal of Hydrology, 598, 126405. https://doi.org/10.1016/j.jhydrol.2021.126405
MacKenzie, W. S., & Guilford, C. (1980). Atlas of Rock-Forming Minerals in Thin Section. Routledge. https://doi.org/10.4324/9781315837413
Maillet, R. (1947). The fundamental equations of electrical prospecting. Geophysics, 12(4), 529–556. https://doi.org/10.1190/1.1437342
Mangga, S. A., Amiruddin. A., Suwarti, T., Gafoer, S., & Sidarto, S. (1993). Peta geologi lembar Tanjungkarang, Sumatera (Skala 1:250.000). Pusat Penelitian dan Pengembangan Geologi.
Masria, A., Alshammari, T. O., Ghareeb, M., Seif, A. K., Abd-Elmaboud, M. E., & Ammar, A. I. (2024). 2D and 3D modeling of resistivity and chargeability to identify the type of saturated groundwater for complex sedimentary facies. Hydrology, 11(8), 120. https://doi.org/10.3390/hydrology11080120
Mohamed, A., Alarifi, S. S., & Abdelrady, A. (2023). Sedimentary cover and structural trends affecting groundwater flow in the Nubian Sandstone Aquifer System: Inferences from geophysical, field and geochemical data. Frontiers in Earth Science, 11, 1173569. https://doi.org/10.3389/feart.2023.1173569
Mohammed, M. A. A., Szabó, N. P., Eltijani, A., & Szűcs, P. (2025). An integrated workflow combining machine learning and wavelet transform for automated characterization of heterogeneous groundwater systems. Scientific Reports, 15, 4973. https://doi.org/10.1038/s41598-025-89410-5
Muauz, A., Berehanu, B., & Bedru, H. (2025). An alternative approach using electrical well logging for estimating porosity and hydraulic conductivity in volcanic aquifers of the Upper Awash River Sub-Basin, Ethiopia. Journal of Hydrology: Regional Studies, 60, 102547. https://doi.org/10.1016/j.ejrh.2025.102547
Muhammad, S., Khalid, P., Ehsan, M. I., Qureshi, J., & Farooq, S. (2023). Evaluation of aquifer parameters through integrated approach of geophysical investigations, pumping test analysis and Dar-Zarrouk parameters in the central part of Bari Doab, Punjab, Pakistan. Environmental Monitoring and Assessment, 195, 1435. https://doi.org/10.1007/s10661-023-12049-0
Nesse, W. D. (2014). Introduction to Optical Mineralogy (4th ed.). Oxford University Press. https://global.oup.com/academic/product/introduction-to-optical-mineralogy-9780199846283?cc=my&lang=en&
Nouradine, H., Schamper, C., Valdes, D., Moussa, I., Ramel, D., & Plagnes, V. (2024). Integrating geological, hydrogeological and geophysical data to identify groundwater resources in granitic basement areas (Guéra Massif, Chad). Hydrogeology Journal, 32(3), 759–784. https://doi.org/10.1007/s10040-024-02766-2
Nugraha, G. U., Bakti, H., Lubis, R. F., Sudrajat, Y., & Arisbaya, I. (2022). Aquifer vulnerability in the coastal northern part of Lombok Island Indonesia. Environment, Development and Sustainability, 24, 1390–1410. https://doi.org/10.1007/s10668-021-01459-0
Nyembwe, I., Nwanosike, A. A., Ndatimana, G., Okot, N., & Muamba, R. T. (2024). Evaluation of aquifer hydraulic properties from resistivity and pumping test data in parts of Gwagwalada, Northcentral Nigeria. Journal of Groundwater Science and Engineering, 12(3), 309–320. https://doi.org/10.26599/JGSE.2024.9280023
Oli, I. C., Opara, A. I., Okeke, O. C., Akaolisa, C. Z., Akakuru, O. C., Osi-Okeke, I., & Udeh, H. M. (2022). Evaluation of aquifer hydraulic conductivity and transmissivity of Ezza/Ikwo area, Southeastern Nigeria, using pumping test and surficial resistivity techniques. Environmental Monitoring and Assessment, 194(10), 719. https://doi.org/10.1007/s10661-022-10341-z
Oyeyemi, K. D., Aizebeokhai, A. P., Ukabam, C. S., Kayode, O. T., Olaojo, A. A., & Metwaly, M. (2023). Nonlinear inversion of electrical resistivity sounding data for multi-layered 1-D earth model using global particle swarm optimization (GPSO). Heliyon, 9(6), e16528. https://doi.org/10.1016/j.heliyon.2023.e16528
Pinehas, D., & Warsa, W. (2020). Determination of Groundwater Surface using Damped Least-Squares Inversion in the Bekasap Field, Riau. Jurnal Geofisika, 17(2), 5–8. https://doi.org/10.36435/jgf.v17i2.414
Prinaldi, D. R., Pratiwi, S. D., & Rosana, M. F. (2023). Karakteristik petrologi dan petrografi satuan batugamping terumbu dan batupasir karbonatan pada Formasi Cibodas daerah Pasiripis dan sekitarnya, Kabupaten Sukabumi, Provinsi Jawa Barat. Padjadjaran Geoscience Journal, 7(6), 1749 – 1756. https://jurnal.unpad.ac.id/geoscience/article/view/53360/22344
Putri, S. A., Putra, A., & Abdurrachman, M. (2018). Studi petrografi batuan beku dan sinter silika di Kecamatan Alam Pauh Duo, Kabupaten Solok Selatan. Jurnal Fisika Unand, 7(4), 320–327. https://jfu.fmipa.unand.ac.id/index.php/jfu/article/view/371
Raju, B. A., Rao, P. V., & Subrahmanyam, M. (2023). Estimating aquifer transmissivity using Dar-Zarrouk parameters to delineate groundwater potential zones in Alluri Seetharama Raju District, Andhra Pradesh, India. Journal of Groundwater Science and Engineering, 11(2), 116–132. https://doi.org/10.26599/JGSE.2023.9280011
Rau, G. C., Cuthbert, M. O., Post, V. E. A., Schweizer, D., Acworth, R. I., Andersen, M. S., Blum, P., Carrara, E., Rasmussen, T. C., & Ge, S. (2020). Future-proofing hydrogeology by revising groundwater monitoring practice. Hydrogeology Journal, 28(8), 2963–2969. https://doi.org/10.1007/s10040-020-02242-7
Rizka, R., & Satiawan, S. (2019). Investigasi Lapisan Akuifer Berdasarkan Data Vertical Electrical Sounding (VES) dan Data Electrical Logging; Studi Kasus Kampus ITERA. Bulletin of Scientific Contribution: Geology, 17(2), 91–100. https://jurnal.unpad.ac.id/bsc/article/view/22393
Roy, A., & Apparao, A. (1971). Depth of investigation in direct current methods. Geophysics, 36(5), 943–959. https://doi.org/10.1190/1.1440226
Sanei, H., Ardakani, O. H., Akai, T., Akihisa, K., Jiang, C., & Wood, J. M. (2020). Core versus cuttings samples for geochemical and petrophysical analysis of unconventional reservoir rocks. Scientific Reports, 10(1), 7920. https://doi.org/10.1038/s41598-020-64936-y
Sehah, S., Aziz, A. N., Raharjo, S. A., Buliyanti, S. C., Mubarak, F., Wicaksono, G. F., & Asahi, W. (2024). Study of the Potential of the Purwokerto-Purbalingga Groundwater Basin as a Source of Irrigation using Gravimetric Satellite Data. Water Conservation and Management, 8(2), 140–149. https://doi.org/10.26480/wcm.02.2024.140.149
Singh, S., & Mondal, N. C. (2025). Aquifer hydraulic characteristics using D-Z parameters: A case study of Lohaghat Block, Champawat District, Uttarakhand, India. Discover Applied Sciences, 7(11), 1293. https://doi.org/10.1007/s42452-025-06778-9
Siringoringo, L. P., Rizki, R., & Nababan, J. (2019). Hydrogeochemical and groundwater assessment for drinking purpose at ITERA Campus Area and its surroundings. Journal of Geoscience, Engineering, Environment, and Technology, 4(1), 40–47. https://doi.org/10.25299/jgeet.2019.4.1.2478
Siringoringo, L. P., & Maulana, S. (2020). Unconfined groundwater flow pattern and facies changes at Way Huwi Village, South Lampung. RISET Geologi dan Pertambangan, 30(1), 109–118. https://doi.org/10.14203/risetgeotam2020.v30.1076
Syaputri, T. D., Suhendra, S., Halauddin, H., Lidiawati, L., & Nurhidayah, R. (2024). Groundwater study using vertical electrical sounding (VES) data based on resistivity and porosity of rocks in Kampung Melayu, Bengkulu City. Jurnal Ilmiah Sains, 24(1), 38–47. https://doi.org/10.35799/jis.v24i1.54133
Todd, D. K. (1980). Groundwater hydrology (2nd ed.). John Wiley & Sons.
Vincent, A., Daigre, C., Fischer, O., Aðalgeirsdóttir, G., Violette, S., Hart, J., Guðmundsson, S., & Pálsson, F. (2024). A hydrogeological conceptual model of aquifers in catchments headed by temperate glaciers. Hydrology and Earth System Sciences, 28(14), 3475–3494. https://doi.org/10.5194/hess-28-3475-2024
Warsi, T., Kumar, V. S., Kumar, D., Nandan, M. J., Biswas, G., Sahadevan, D. K., Manikyamba, C., Rao, T. V., Rangarajan, R., Ahmed, S., & Chandrasekhar, V. (2020). Integration of geophysics and petrography for identifying the aquifer and the rock type: A case study from Giddalur, Andhra Pradesh, India. Journal of Earth System Science, 129(1), 44. https://doi.org/10.1007/s12040-019-1321-4
Wilkosz, M. (2022). ReMo3D – an open-source Python package for 2D and 3D simulation of normal and lateral resistivity logs. Geology, Geophysics & Environment, 48(2), 195–211. https://doi.org/10.7494/geol.2022.48.2.195
Wu, W., & Grana, D. (2017). Integrated petrophysics and rock physics modeling for well log interpretation of elastic, electrical, and petrophysical properties. Journal of Applied Geophysics, 146, 54–66. https://doi.org/10.1016/j.jappgeo.2017.09.007
Wu, Y., & Fan, Y. (2021). Fast hierarchical inversion for borehole resistivity measurements in high-angle and horizontal wells using ADNN-AMLM. Journal of Petroleum Science and Engineering, 203, 108662. https://doi.org/10.1016/j.petrol.2021.108662
Yang, L., Gao, M., Chen, J., Shi, W., Hou, C., Liu, Z., Luo, C., Yu, J., Yang, X., & Dong, J. (2025). Effects of climate variables and human activities on groundwater level fluctuations in unconsolidated sedimentary aquifers: A data-driven approach. Hydrology, 12(8), 215. https://doi.org/10.3390/hydrology12080215
Yihdego, Y. (2017). Hydraulic in situ testing for mining and engineering design: Packer test procedure, preparation, analysis and interpretation. Geotechnical and Geological Engineering, 35(1), 29–44. https://doi.org/10.1007/s10706-016-0112-9
Yusuf, S. N., Ishaku, J. M., & Wakili, W. M. (2021). Estimation of Dar-Zarrouk parameters and delineation of groundwater potential zones in Karlahi, part of Adamawa Massif, Northeastern Nigeria. Warta Geologi, 47(2), 103–112. https://doi.org/10.7186/wg472202101
Zhou, F., Giannakis, I., Giannopoulos, A., Holliger, K., & Slob, E. (2023). Extracting mud invasion information using borehole radar—A numerical study. Geophysics, 88(2), D69–D83. https://doi.org/10.1190/geo2022-0121
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