Geoelectric Modelling Based on Bessel Functions Integral and Damped Least-Square Inversion for Layered Earth Models

Authors

  • Asep Saefullah Universitas Sultan Ageng Tirtayasa
  • Wahyu Srigutomo Physics Department, Institut Teknologi Bandung, Bandung, Indonesia
  • Diana Ayu Rostikwati Primary Teacher Education Department, Universitas Bina Bangsa, Serang, Banten, Indonesia

DOI:

https://doi.org/10.26418/positron.v14i1.68248

Keywords:

Bessel Function Integral, Damped Least-Square Inversion, Modeling of Geoelectric

Abstract

Apparent resistivity formulations of a geoelectric method for layered Earth have been obtained analytically in the Bessel functions integral. This formulation is obtained through the application of two boundary conditions. First, the current density is zero at the Earth's surface. Second, current density and electric potential are continuous at the boundary between the layers. Geoelectric modelling can be done using several model parameters through this formulation. The modelling results show that apparent resistivity formulations based on Bessel function integrals can simulate apparent resistivity curves for layered earth models. The inversion process uses the apparent resistivity formulation based on Bessel function integrals. In this study, the inversion process uses a dumped Least-squared inversion method. The first step begins by testing the inversion program using synthetic data. After that, the inversion program is used in field data. The inversion results using field data from geoelectric data in Mount Pandan, East Java, show that the program was well done, with a minimal error value of 1.24%.

Author Biography

Asep Saefullah, Universitas Sultan Ageng Tirtayasa

Department of Physics Education, Universitas Sultan Ageng Tirtayasa

References

G. Daniel Hervé, F. Kokea Ariane Darolle, K. Fidèle, and Y. David, “Groundwater prospecting using remote sensing and geoelectrical methods in the North Cameroon (Central Africa) metamorphic formations,†Egypt. J. Remote Sens. Sp. Sci., vol. 24, no. 3, pp. 933–943, 2021, doi: 10.1016/j.ejrs.2021.10.003

A. Opatola, S. Obafemi, S. I. Bankole, R. P. Akinwale, and S. A. Alli, “Geoelectrical resistivity mapping and characterization of bituminous sands at some parts of Eastern Dahomey Basin, SW Nigeria,†Egypt. J. Pet., vol. 31, no. 4, pp. 33–38, 2022, doi: 10.1016/j.ejpe.2022.10.001

H. Alzahrani, K. Abdelrahman, and S. A. Hazaea, “Use of geoelectrical resistivity method for detecting near-surface groundwater potential zones at Riyadh city, Saudi Arabia,†J. King Saud Univ. - Sci., vol. 34, no. 7, p. 102253, 2022, doi: 10.1016/j.jksus.2022.102253

N. B. Christensen, “Joint inversion of airborne TEM data and surface geoelectrical data. The Egebjerg case,†J. Appl. Geophys., vol. 196, no. November 2021, p. 104511, 2022, doi: 10.1016/j.jappgeo.2021.104511

M. Farhati and M. S. Rosid, “Identifikasi Bidang Gelincir dengan Metode Geolistrik Tahanan Jenis 2 Dimensi di Daerah Keranggan, Tangerang Selatan,†Positron, vol. 12, no. 1, p. 1, 2022, doi: 10.26418/positron.v12i1.53584

A. G. Osotuyi, M. Z. Mohammed, I. R. Ajayi, and A. O. Salako, “Assessment of geoelectric properties and localized geology as indicators on cocoa (Theobroma cacao) yield in a part of southwestern Nigeria,†Heliyon, vol. 7, no. 12, p. e08516, 2021, doi: 10.1016/j.heliyon.2021.e08516

A. Saefullah and W. Srigutomo, “Perbandingan Kurva Resistivitas Semu pada Metode Geolisitrik Menggunakan Metode Pencerminan Bayangan dan Solusi Integral Fungsi Besselâ€. Prosiding Seminar Nasional Inovasi Pembelajaran Sains (SNIPS). 2015

I. M. Logvinov and V. N. Tarasov, “Electric resistivity distribution in the Earth’s crust and upper mantle for the southern East European Platform and Crimea from area-wide 2D models,†Acta Geophys., vol. 66, pp. 131–139, 2018

T. Islam and Z. Chik, “Improved near surface soil characterizations using a multilayer soil resistivity model,†Geoderma, vol. 209, pp. 136–142, 2013

K. D. Oyeyemi, A. P. Aizebeokhai, C. S. Ukabam, O. T. Kayode, A. A. Olaojo, and M. Metwaly, “Nonlinear inversion of electrical resistivity sounding data for multi-layered 1-D earth model using global particle swarm optimization (GPSO),†Heliyon, vol. 9, no. 6, 2023, doi: 10.1016/j.heliyon.2023.e16528

S. Duling, J. Saur, and J. Wicht, “Consistent boundary conditions at nonconducting surfaces of planetary bodies: Applications in a new Ganymede MHD model,†J. Geophys. Res. Sp. Phys., vol. 119, no. 6, pp. 4412–4440, 2014

R. C. Aster, B. Borchers, and C. H. Thurber, Parameter estimation and inverse problems. Elsevier, 2018

N. H. Nandi Haerudin and I. B. S. Yogi, “A Combination of Monte-Carlo and Damped Least Square Inversion Method for Determining Radon Source in Geothermal Case,†J. Earth Sp. Phys., vol. 46, no. 4, pp. 103–116, 2021

X. Yan, Z. Deng, J. Liu, S. Ye, Z. Chen, and T. Zhong, “Numerical simulation of deep-hole resistivity anomaly caused by drilling construction in Xinfengjiang geoelectric station,†Earthq. Res. Adv., vol. 2, no. 3, p. 100139, 2022, doi: 10.1016/j.eqrea.2022.100139

D. Irawan, H. Grandis, and P. Sumintadireja, “Quasi-2D resistivity model from inversion of vertical electrical sounding (VES) data using guided random search algorithm,†J. Math. Fundam. Sci., vol. 47, no. 3, pp. 269–280, 2015, doi: 10.5614/j.math.fund.sci.2015.47.3.5

N. Y. Ganushkina, M. W. Liemohn, and S. Dubyagin, “Current systems in the Earth’s magnetosphere,†Rev. Geophys., vol. 56, no. 2, pp. 309–332, 2018

E. Rolia, M. Mufidah, and others, “DETEKSI KEJADIAN INTRUSI AIR LAUT BERDASARKAN NILAI TAHANAN JENIS PENGUKURAN GEOLISTIK (STUDI KASUS DAERAH PESISIR KOTA BANDAR LAMPUNG),†TAPAK (Teknologi Apl. Konstr. J. Progr. Stud. Tek. Sipil, vol. 12, no. 1, pp. 24–32, 2022

A. M. Alali, “Novel approach towards 1D resistivity inversion using the systematically-determined optimum number of layers,†Massachusetts Institute of Technology, 2018

M. Rabonza, M. Nguyen, S. Biass, S. Jenkins, B. Taisne, and D. Lallemant, “Inversion and forward estimation with process-based models: An investigation into cost functions, uncertainty-based weights and model-data fusion,†Environ. Model. Softw., vol. 167, no. June, p. 105750, 2023, doi: 10.1016/j.envsoft.2023.105750

Y. L. Ekinci and A. Demirci, “A damped least-squares inversion program for the interpretation of Schlumberger sounding curves,†J. Appl. Sci., vol. 8, no. 22, pp. 4070–4078, 2008

M. Chiyonobu, T. Miyamae, M. Takata, J. Harayama, K. Kimura, and Y. Nakamura, “Singular value decomposition for complex matrices using two-sided Jacobi method,†J. Supercomput., pp. 1–22, 2024

Downloads

Published

2024-05-31