Random Forest Prediction of Time to Failure for Granite Hydraulic Fracturing Using Nanoseismic Signals

The data include nanoseismic seismic waveforms associated with time to failure parsed from from Li et al. (2019)'s (https://doi.org/10.1016/j.engfracmech.2019.01.034) hydraulic fracturing experiments and statistical features extracted following Rouet-Leduc et al. (2017) (https://doi.org/10.1002...

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1. Verfasser: XIE, ARNOLD YUXUAN
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Sprache:eng
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Zusammenfassung:The data include nanoseismic seismic waveforms associated with time to failure parsed from from Li et al. (2019)'s (https://doi.org/10.1016/j.engfracmech.2019.01.034) hydraulic fracturing experiments and statistical features extracted following Rouet-Leduc et al. (2017) (https://doi.org/10.1002/2017GL074677). The code to load the data and trained models is enclosed in the Jupyter Notebook.
DOI:10.17632/8scy63d3tw