A parallel improved PSO algorithm with genetic operators for 2D inversion of resistivity data
Author:
Funder
Capes
Publisher
Springer Science and Business Media LLC
Subject
Geophysics
Link
https://link.springer.com/content/pdf/10.1007/s11600-022-00760-4.pdf
Reference48 articles.
1. Arboleda-Zapata M, Guillemoteau J, Tronicke J (2022) A comprehensive workflow to analyze ensembles of globally inverted 2d electrical resistivity models. J Appl Geophys. https://doi.org/10.1016/j.jappgeo.2021.104512
2. Archie GE et al (1942) The electrical resistivity log as an aid in determining some reservoir characteristics. Trans AIME 146(01):54–62
3. Barboza FM, Medeiros WE, Santana JM (2019) A user-driven feedback approach for 2d direct current resistivity inversion based on particle swarm optimization. Geophysics 84(2):E105–E124
4. Başokur AT, Akca I (2011) Object-based model verification by a genetic algorithm approach: application in archeological targets. J Appl Geophys 74(4):167–174
5. Bertete-Aguirre H, Cherkaev E, Oristaglio M (2002) Non-smooth gravity problem with total variation penalization functional. Geophys J Int 149(2):499–507
Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
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3. Correction to: A parallel improved PSO algorithm with genetic operators for 2D inversion of resistivity data;Acta Geophysica;2022-04-19
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