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    A fuzzy c-means assisted AIC workflow for arrival picking on downhole microseismic data

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    A_fuzzy_c_means_assisted_AIC_workflow_for_arrival_picking_on_downhole_microseismic_data_WITH_REFERENCES.pdf
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    Type
    Conference Paper
    Authors
    Cano, Eduardo Valero
    Akram, Jubran
    Peter, Daniel cc
    Eisner, Leo
    KAUST Department
    Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
    Earth Science and Engineering Program
    Extreme Computing Research Center
    Physical Science and Engineering (PSE) Division
    Date
    2019-08-10
    Permanent link to this record
    http://hdl.handle.net/10754/661915
    
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    Abstract
    We propose a workflow for automatic P- and S-wave arrival picking on downhole microseismic data. It uses conditional fuzzy c-means clustering to identify time intervals of possible wave arrivals. We classify the signal intervals as P- and S-wave using the first and second eigenvalues of the waveforms contained within. The Akaike information criterion (AIC) picker is then applied to the identified P- and S-wave intervals for arrival picking. Using real microseismic dataset examples, we show that the proposed workflow yields accurate arrival picks for both high and low signal-to-noise ratio waveforms. The identification of signal intervals, however, uses features based on amplitude, thus remains susceptible to high amplitude noise.
    Citation
    Cano, E. V., Akram, J., Peter, D., & Eisner, L. (2019). A fuzzy c-means assisted AIC workflow for arrival picking on downhole microseismic data. SEG Technical Program Expanded Abstracts 2019. doi:10.1190/segam2019-3215089.1
    Publisher
    Society of Exploration Geophysicists
    Conference/Event name
    Society of Exploration Geophysicists International Exposition and Annual Meeting 2019, SEG 2019
    DOI
    10.1190/segam2019-3215089.1
    Additional Links
    https://library.seg.org/doi/10.1190/segam2019-3215089.1
    ae974a485f413a2113503eed53cd6c53
    10.1190/segam2019-3215089.1
    Scopus Count
    Collections
    Conference Papers; Physical Science and Engineering (PSE) Division; Extreme Computing Research Center; Earth Science and Engineering Program; Computer, Electrical and Mathematical Science and Engineering (CEMSE) Division

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