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中南大学学报(英文版)

Journal of Central South University

Vol. 28    No. 6    June 2021

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Inversion of self-potential anomalies caused by simple polarized bodies based on particle swarm optimization
LUO Yi-jian(罗议建)1, 2, 3, CUI Yi-an(崔益安)1, 2, 3, XIE Jing(谢静)1, 2, 3, LU He-shun-zi(陆河顺子)1, 2, 3, LIU Jian-xin(柳建新)1, 2, 3

1. School of Geosciences and Info-Physics, Central South University, Changsha 410083, China;
2. Hunan Key Laboratory of Nonferrous Resources and Geological Hazard Detection,
Central South University, Changsha 410083, China;
3. Key Laboratory of Metallogenic Prediction of Nonferrous Metals, Ministry of Education,
Central South University, Changsha 410083, China

Abstract:Prticle swarm optimization (PSO) is adopted to invert the self-potential anomalies of simple geometry. Taking the vertical semi-infinite cylinder model as an example, the model parameters are first inverted using standard particle swarm optimization (SPSO), and then the searching behavior of the particle swarm is discussed and the change of the particles’ distribution during the iteration process is studied. The existence of different particle behaviors enables the particle swarm to explore the searching space more comprehensively, thus PSO achieves remarkable results in the inversion of SP anomalies. Finally, six improved PSOs aiming at improving the inversion accuracy and the convergence speed by changing the update of particle positions, inertia weights and learning factors are introduced for the inversion of the cylinder model, and the effectiveness of these algorithms is verified by numerical experiments. The inversion results show that these improved PSOs successfully give the model parameters which are very close to the theoretical value, and simultaneously provide guidance when determining which strategy is suitable for the inversion of the regular polarized bodies and similar geophysical problems.

 

Key words: self-potential; inversion; particle swarm optimization

中南大学学报(自然科学版)
  ISSN 1672-7207
CN 43-1426/N
ZDXZAC
中南大学学报(英文版)
  ISSN 2095-2899
CN 43-1516/TB
JCSTFT
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