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Research and application of microseismic nonlinear optimal positioning methods

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Abstract

The impact of vibration wave propagation and various anisotropic media can cause divergence problems in the traditional linear positioning solution process in practical engineering applications. To address this problem, a mathematical algorithm combined with the microseismic positioning principles is developed to formulate a microseismic nonlinear optimal positioning method. The developed algorithm introduces a downhill factor to enhance its stability and convergence for achieving global convergence. Moreover, a multidirectional iterative concept is proposed to improve the precision and scientific validity of the positioning results. This approach effectively minimizes errors in each direction of the localization results. The stability of the algorithm and the accuracy of source results were verified by comparing a rectangular coal block acoustic emission source test with a traditional linear localization algorithm. Its application in engineering fields has also demonstrated its efficacy in reducing the influence associated with the deployment of a microseismic station network.

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Acknowledgments

We thank the reviewers and the editorial team from the bottom of our hearts for their help. Zhengzhou Anyan Intelligent Technology Co Ltd provided us with microseismic monitoring equipment, for which we are very grateful. The microseismic data provided by Zheng Hong Hengtai (**nmi, Henan Province) Coal Industry Co., Ltd. was invaluable, and we are very grateful for this. Finally, I would like to thank my school, Zhongyuan University of Technology, for their many hours of help.

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Correspondence to Yang **ao.

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This work was supported by the National Natural Science Foundation of China (No. 52104157).

Author Biography

Liu Wei-jian (1977-), Male, Heze County, Shandong Province, Associate Professor, PhD, research interests in disaster rock monitoring and prevention. Tel:18611896109.

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Liu, Wj., **ao, Y., Wang, Hn. et al. Research and application of microseismic nonlinear optimal positioning methods. Appl. Geophys. 21, 331–342 (2024). https://doi.org/10.1007/s11770-023-1012-4

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  • DOI: https://doi.org/10.1007/s11770-023-1012-4

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