Joint inversion of gravity and multiple components of tensor gravity data

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• 作者：Guang-yin Lu 鲁光银 ; Shu-jin Cao 曹书锦 ; Zi-qiang Zhu 朱自强
• 刊名：Journal of Central South University
• 出版年：2016
• 出版时间：July 2016
• 年：2016
• 卷：23
• 期：7
• 页码：1767-1777
• 全文大小：2,148 KB
• 刊物类别：Engineering
• 刊物主题：Engineering, general
  Metallic Materials
  Chinese Library of Science
  
• 出版者：Central South University, co-published with Springer
• ISSN：2227-5223
• 卷排序：23

文摘

Geological structures often exhibit smooth characteristics away from sharp discontinuities. One aim of geophysical inversion is to recover information about the smooth structures as well as about the sharp discontinuities. Because no specific operator can provide a perfect sparse representation of complicated geological models, hyper-parameter regularization inversion based on the iterative split Bregman method was used to recover the features of both smooth and sharp geological structures. A novel preconditioned matrix was proposed, which counteracted the natural decay of the sensitivity matrix and its inverse matrix was calculated easily. Application of the algorithm to synthetic data produces density models that are good representations of the designed models. The results show that the algorithm proposed is feasible and effective.Keywordshyper-parameter regularizationfull gravity gradient tensorpreconditioned matrixOccam’s inversionfocusing inversion