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基于正则化的诱导极化数据共轭梯度法的Cole-Cole模型反演

Cole-Cole Model Inversion Based on the Regularized Conjugate Gradient Method for Induced Polarization Data
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摘要 诱导极化(IP)现象的建模对于开发一种有效的地下地质遥感方法是十分重要的。然而,定量解释诱导极化数据在复杂的三维环境仍然是一个具有挑战性的应用地球物理问题。文章提出了一种基于表面诱导极化数据的Cole-Cole模型四参数三维分布的确定方法。 The modeling of induced polarization (IP) phenomena is very important for the development of an effective method forunderground geological remote sensing. However, the quantitative interpretation of induced polarization data in complex three-dimensional environments is still a challenging geophysical problem. In this paper, a method for determining the three-dimensional distribution of the four parameters of the Cole-Cole model based on the surface induced polarization data is proposed.
出处 《科技创新与应用》 2018年第33期26-27,共2页 Technology Innovation and Application
关键词 诱导极化 反演 正则共轭梯度法(RCGM) induced polarization (IP) inversion regularized conjugate gradient method (RCGM)
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