원문정보
국제인공지능학회(구 한국인터넷방송통신학회)
The International Journal of Advanced Smart Convergence
Volume 9 Number 3
2020.09
pp.97-104
피인용수 : 0건 (자료제공 : 네이버학술정보)
초록
영어
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.
목차
Abstract
1. Introduction
2. Apparent Resistivity
2.1 Wenner method for measuring apparent resistivity
2.2 Kernel function for calculating apparent earth resistivity
3. Estimation of earth kernel function calculation
3.1 Inducing Kernel function from the measured apparent earth resistivityIt
3.2 Linearized system for determining Kernel function
4. Simulation and Results
5. Conclusion
References
1. Introduction
2. Apparent Resistivity
2.1 Wenner method for measuring apparent resistivity
2.2 Kernel function for calculating apparent earth resistivity
3. Estimation of earth kernel function calculation
3.1 Inducing Kernel function from the measured apparent earth resistivityIt
3.2 Linearized system for determining Kernel function
4. Simulation and Results
5. Conclusion
References
저자정보
참고문헌
자료제공 : 네이버학술정보