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http://dx.doi.org/10.7236/IJASC.2020.9.3.97

Estimation of kernel function using the measured apparent earth resistivity  

Kim, Ho-Chan (Department of Electrical Engineering, Jeju National University)
Boo, Chang-Jin (Department of Electrical Engineering, Jeju International University)
Kang, Min-Jae (Department of Electronic Engineering, Jeju National University)
Publication Information
International journal of advanced smart convergence / v.9, no.3, 2020 , pp. 97-104 More about this Journal
Abstract
In this paper, we propose a method to derive the kernel function directly from the measured apparent earth resistivity. At this time, the kernel function is obtained through the process of solving a nonlinear system. Nonlinear systems with many variables are difficult to solve. This paper also introduces a method for converting nonlinear derived systems to linear systems. The kernel function is a function of the depth and resistance of the Earth's layer. Being able to derive an accurate kernel function means that we can estimate the earth parameters i.e. layer depth and resistivity. We also use various Earth models as simulation examples to validate the proposed method.
Keywords
kernel function; apparent earth resistivity; nonlinear system; horizontal r;
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