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Volume 29 Issue 6
Nov 2018
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Shu Li, Zhenming Peng, Hao Wu. Prestack Multi-Gather Simultaneous Inversion of Elastic Parameters Using Multiple Regularization Constraints. Journal of Earth Science, 2018, 29(6): 1359-1371. doi: 10.1007/s12583-017-0905-7
Citation: Shu Li, Zhenming Peng, Hao Wu. Prestack Multi-Gather Simultaneous Inversion of Elastic Parameters Using Multiple Regularization Constraints. Journal of Earth Science, 2018, 29(6): 1359-1371. doi: 10.1007/s12583-017-0905-7

Prestack Multi-Gather Simultaneous Inversion of Elastic Parameters Using Multiple Regularization Constraints

doi: 10.1007/s12583-017-0905-7
Funds:

the key projects of Hunan Provincial Department of Education 16A174

the National Natural Science Foundation of China 41301460

the National Natural Science Foundation of China 61775030

the National Natural Science Foundation of China 61571096

the National Natural Science Foundation of China 61362018

the National Natural Science Foundation of China 41274127

More Information
  • Corresponding author: Zhenming Peng
  • Received Date: 27 Sep 2016
  • Accepted Date: 06 Mar 2017
  • Publish Date: 01 Dec 2018
  • Inversion of Young's modulus, Poisson's ratio and density from pre-stack seismic data has been proved to be feasible and effective. However, the existing methods do not take full advantage of the prior information. Without considering the lateral continuity of the inversion results, these methods need to invert the reflectivity first. In this paper, we propose multi-gather simultaneous inversion for pre-stack seismic data. Meanwhile, the total variation (TV) regularization, L1 norm regularization and initial model constraint are used. In order to solve the objective function contains L1 norm, TV norm and L2 norm, we develop an algorithm based on split Bregman iteration. The main advantages of our method are as follows:(1) The elastic parameters are calculated directly from objective function rather than from their reflectivity, therefore the stability and accuracy of the inversion process can be ensured. (2) The inversion results are more in accordance with the prior geological information. (3) The lateral continuity of the inversion results are improved. The proposed method is illustrated by theoretical model data and experimented with a 2-D field data.

     

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