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A Bayesian approach to seismic inversion based on GASA algorithm

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Abstract

We embedded the genetic algorithm (GA) into the inner loop of the simulated annealing (SA) with a special designed junction. This strategy can boost the tunability of the searching process by providing two scales of regulation in seismic inversion problems. Moreover, a quantified uncertainty of the inversion result can be given when we put this strategy under Bayesian framework. Real data tests are conducted to support the theoretical calculation. Based on the conventional sparse spike inversion results, as a part of the prior information, our proposed method presents a superior quality and convincible uncertainty description.

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Funding

This research was co-sponsored by the Open Fund (NO. GDL1609) of Key Laboratory of Geo-detection (China University of Geosciences, Beijing), Ministry of Education, excellent mentors fund (NO. 2-9-2017-438), and Ministry of Education, national science and technology major project (2016ZX05003-003).

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Authors and Affiliations

  1. Bureau of Geophysical Prospecting (BGP Inc.), China National Petroleum Corporation (CNPC), Zhuozhou, 072750, Hebei, China

    Rui-qing Hu

  2. School of Geophysics and Information Technology, China University of Geosciences, Beijing, 100089, China

    Yan-chun Wang, Zhan-wei Yue & Qi Wang

  3. Key Laboratory of Coal Resources Exploration and Comprehensive Utilization, Ministry of Land and Resources, Xi’an, 710021, China

    Yang Gao

  4. Exploration and Development Research Institute of Sinopec North China Petroleum Corporation, Zhengzhou, 450006, China

    Shao-he Cao

Authors
  1. Rui-qing Hu
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  2. Yan-chun Wang
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  3. Yang Gao
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  4. Shao-he Cao
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  5. Zhan-wei Yue
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  6. Qi Wang
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Corresponding author

Correspondence to Rui-qing Hu.

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Responsible Editor: Abdullah M. Al-Amri

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Hu, Rq., Wang, Yc., Gao, Y. et al. A Bayesian approach to seismic inversion based on GASA algorithm. Arab J Geosci 13, 6 (2020). https://doi.org/10.1007/s12517-019-4789-y

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  • DOI: https://doi.org/10.1007/s12517-019-4789-y

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