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A migration-based location method using improved waveform stacking for microseismic events in a borehole system

  • Research Article-Applied Geophysics
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Abstract

The migration-based microseismic event location methods using waveform stacking algorithms are widely used for hydro-fracturing monitoring. These methods have the advantage of not requiring the accurate first arrival time around a detected event, which is more suitable for noisy data than classical travel time-based methods. However, accuracy of these methods can be affected under the condition of relatively low signal-to-noise ratio (SNR). Therefore, in order to enhance the location accuracy of microseismic events in a borehole system, we have proposed a migration-based location method using improved waveform stacking with polarity correction based on a master-event technique, which optimizes the combination way of P- and S-wave waveform stacking. This method can enhance the convergence of the objective function and the location accuracy for microseismic events as compared to the conventional waveform stacking. The proposed method has been successfully tested by using synthetic data example and field data recorded from one downhole monitoring well. Our study clearly indicates that the presented method is more viable and stable under low SNR.

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References

  • Anikiev D, Valenta J, Stanek F et al (2014) Joint location and source mechanism inversion of microseismic events: benchmarking on seismicity induced by hydraulic fracturing. Geophys J Int 198(1):249–258

    Article  Google Scholar 

  • Drew J, White RS, Tilmann F et al (2013) Coalescence microseismic mapping. Geophys J Int 195(3):1773–1785

    Article  Google Scholar 

  • Eaton DW, Akram J, St-Onge A et al (2011) Determining microseismic event locations by semblance-weighted stacking. In: Presented at the proceedings of the CSPG CSEG CWLS convention

  • Gajewski D, Anikiev D, Kashtan B et al (2007) Localization of seismic events by diffraction stacking. SEG Tech Progr Expand Abstr 26:1287–1291

    Google Scholar 

  • Gharti HN, Oye V, Roth M et al (2010) Automated microearthquake location using envelope stacking and robust global optimization. Geophysics 75(4):MA27–MA46

    Article  Google Scholar 

  • Graves RW (1996) Simulating seismic wave propagation in 3D elastic media using staggered-grid finite differences. Bull Seismol Soc Am 86(4):1091–1106

    Google Scholar 

  • Grigoli F, Cesca S, Amoroso O et al (2014) Automated seismic event location by waveform coherence analysis. Geophys J Int 196(3):1742–1753

    Article  Google Scholar 

  • Grigoli F, Cesca S, Krieger L et al (2016) Automated microseismic event location using master-event waveform stacking. Sci Rep 6:25744

    Article  Google Scholar 

  • Kao H, Shan SJ (2004) The source-scanning algorithm: mapping the distribution of seismic sources in time and space. Geophys J Int 157(2):589–594

    Article  Google Scholar 

  • Kim J, Woo JU, Rhie J et al (2017) Automatic determination of first-motion polarity and its application to focal mechanism analysis of microseismic events. Geosci J 21(5):695–702

    Article  Google Scholar 

  • Li L, Chen H, Wang XM (2016) Relative elastic interferometric imaging for microseismic source location. J Geophys Eng 13(5):733–744

    Article  Google Scholar 

  • Moser TJ (1991) Shortest path calculation of seismic rays. Geophysics 56(1):59–67

    Article  Google Scholar 

  • Mao QH, Wang P, Azeem T (2019) Microseismic event location using an improved global grid search and its extended method in a downhole monitoring system. J Geophys Eng 16(1):159–174

    Article  Google Scholar 

  • Shi PD, Angus D, Rost S et al (2019) Automated seismic waveform location using multichannel coherency migration (MCM)–I: theory. Geophys J Int 216(3):1842–1866

    Article  Google Scholar 

  • Trojanowski J, Eisner L (2017) Comparison of migration-based location and detection methods for microseismic events. Geophys Prospect 65(1):47–63

    Article  Google Scholar 

  • Xu JC, Zhang W, Chen XF et al (2019) Minimum semblance weighted stacking with polarity correction for surface microseismic data processing. Lead Edge 38(8):630–636

    Article  Google Scholar 

Download references

Acknowledgments

This study was co-sponsored by Hubei Provincial Department of Education (Grant No. Q20191307) and Open Fund of Key Laboratory of Exploration Technologies for Oil and Gas Resources (Yangtze University), Ministry of Education (Grant No. K2018-14). The authors gratefully thank the associate editor Prof. Junlun Li and two anonymous reviewers for their constructive comments and suggestions that have significantly improved this manuscript.

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Correspondence to Qinghui Mao.

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Mao, Q., Azeem, T., Zhang, X. et al. A migration-based location method using improved waveform stacking for microseismic events in a borehole system. Acta Geophys. 68, 1609–1618 (2020). https://doi.org/10.1007/s11600-020-00488-z

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  • DOI: https://doi.org/10.1007/s11600-020-00488-z

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