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Pure and Applied Geophysics

, Volume 171, Issue 9, pp 2371–2389 | Cite as

1-D DC Resistivity Modeling and Interpretation in Anisotropic Media Using Particle Swarm Optimization

  • Ertan Pekşen
  • Türker Yas
  • Alper Kıyak
Article

Abstract

We examine the one-dimensional direct current method in anisotropic earth formation. We derive an analytic expression of a simple, two-layered anisotropic earth model. Further, we also consider a horizontally layered anisotropic earth response with respect to the digital filter method, which yields a quasi-analytic solution over anisotropic media. These analytic and quasi-analytic solutions are useful tests for numerical codes. A two-dimensional finite difference earth model in anisotropic media is presented in order to generate a synthetic data set for a simple one-dimensional earth. Further, we propose a particle swarm optimization method for estimating the model parameters of a layered anisotropic earth model such as horizontal and vertical resistivities, and thickness. The particle swarm optimization is a naturally inspired meta-heuristic algorithm. The proposed method finds model parameters quite successfully based on synthetic and field data. However, adding 5 % Gaussian noise to the synthetic data increases the ambiguity of the value of the model parameters. For this reason, the results should be controlled by a number of statistical tests. In this study, we use probability density function within 95 % confidence interval, parameter variation of each iteration and frequency distribution of the model parameters to reduce the ambiguity. The result is promising and the proposed method can be used for evaluating one-dimensional direct current data in anisotropic media.

Keywords

Electrical anisotropy Particle swarm optimization 1-D DC interpretation 

Notes

Acknowledgments

This work was supported by the Scientific and Technical Research Council of Turkey (TÜBİTAK) under Grant 110Y354. We would like to thank the General Directorate of Mineral Research and Exploration (MTA) for providing us with the VES data and the well information. We would like to thank anonymous reviewers for constructive comments which helped improve the quality of the manuscript.

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Copyright information

© Springer Basel 2014

Authors and Affiliations

  1. 1.Department of Geophysical Engineering, Faculty of EngineeringKocaeli UniversityKocaeliTurkey
  2. 2.Department of GeophysicsGeneral Directorate of Mineral Research and Exploration (MTA)AnkaraTurkey
  3. 3.Institute of ScienceSakarya UniversityEsentepeTurkey

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