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Elastic parameter inversion problem based on brain storm optimization algorithm

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Abstract

The pre-stack Amplitude Variation with Offset (AVO) elastic parameter inversion technique combined with an intelligent optimization algorithm provides a more effective identification method for oil and gas exploration. However, biological evolution-based optimization algorithms, such as genetic algorithm, generally suffer problems such as premature convergence and high probability of becoming trapped in a local optimum, and these problems lead to unsatisfactory inversion results. To solve the above problems, this paper proposes a swarm-intelligence-based brain storm optimization algorithm, which is more suitable for solving the inversion problem of pre-stack AVO elastic parameters. The algorithm employs a specific initialization strategy for Aki and Rechard’s approximation equation, which is used in the inversion process, to produce a smoother initialization parameter curve. Multiple experiments prove that the correlation coefficients of the elastic parameters obtained by inversion are high, while the inversion accuracy is improved significantly.

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Acknowledgements

This paper is supported by Natural Science Foundation of China (No. 61673354, 61573324 and 41404076 ), National Natural Science Foundation for Distinguished Young Scholars of China (No. 61525304), the Fundamental Research Funds for the Central Universities, China University of Geosciences (Wuhan), the State Key Lab of Digital Manufacturing Equipment and Technology, Huazhong University of Science and Technology(DMETKF2018020) and the State Key Laboratory of Intelligent Control and Decision of Complex Systems.

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Authors and Affiliations

  1. School of Computer Science, China University of Geosciences, Wuhan, 430074, Hubei, China

    Xuesong Yan, Zhixin Zhu & Wenyin Gong

  2. State Key Lab of Digital Manufacturing Equipment and Technology, Huazhong University of Science and Technology, Wuhan, 430074, Hubei, China

    Xuesong Yan

  3. Faculty of Computer Science and Engineering, Wuhan Institute of Technology, Wuhan, 430205, Hubei, China

    Qinghua Wu

  4. Department of Automation, Tsinghua University, Beijing, 100084, China

    Ling Wang

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  1. Xuesong Yan
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  2. Zhixin Zhu
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  3. Qinghua Wu
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  4. Wenyin Gong
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  5. Ling Wang
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Correspondence to Qinghua Wu.

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Yan, X., Zhu, Z., Wu, Q. et al. Elastic parameter inversion problem based on brain storm optimization algorithm. Memetic Comp. 11, 143–153 (2019). https://doi.org/10.1007/s12293-018-0259-4

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