Journal of Earth Science

, Volume 29, Issue 6, pp 1359–1371 | Cite as

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

  • Shu Li
  • Zhenming PengEmail author
  • Hao Wu
Geophysical Imaging from Subduction Zones to Petroleum Reservoirs


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, and 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 accordance with the geological prior 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.

Key words

elastic parameter pre-stack inversion multi-gather regularization 


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This work was supported by the National Natural Science Foundation of China (Nos. 61775030, 61571096, 41301460, 61362018, and 41274127), and the key projects of Hunan Provincial Department of Education (No. 16A174). The authors thank the referees for their valuable suggestions. The authors also thank Chengdu Jingshi petroleum Technology Co., Ltd for providing us with the field data. The final publication is available at Springer via

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Copyright information

© China University of Geosciences and Springer-Verlag GmbH Germany, part of Springer Nature 2017

Authors and Affiliations

  1. 1.School of Optoelectronic InformationUniversity of Electronic Science and Technology of ChinaChengduChina
  2. 2.Center for Information GeoscienceUniversity of Electronic Science and Technology of ChinaChengduChina
  3. 3.School of Information Science and EngineeringJishou UniversityJishouChina

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