First-Arrival Picking for Microseismic Monitoring Based on Deep Learning

<table class="table-group" id="tab1"><tr><td><table class="table"><tr><td class="thead-hr" colspan="3"><hr/></td></tr><tr><td class="align_left" rowspan="3">Hardware environment</td><td class="align_center">CPU</td><td class="align_center">IntelCorei7-9750H</td></tr><tr><td class="align_center">GPU</td><td class="align_center">GeForceGTX1660 Ti</td></tr><tr><td class="align_center">RAM</td><td class="align_center">20GB</td></tr><tr><td class="align_center" colspan="3"><hr/></td></tr><tr><td class="align_left" rowspan="4">Software environment</td><td class="align_center" rowspan="4">Platform</td><td class="align_center">Ubuntu 16.04</td></tr><tr><td class="align_center">Tensorflow1.12</td></tr><tr><td class="align_center">CUDA9.0+Cudnn7.1</td></tr><tr><td class="align_center">Pycharm+Python3.6</td></tr><tr class="table-tr"><td colspan="3"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

<div>Experimental platform parameters.</div>

International Journal of Geophysics

tab1

Table 1

Table 1: First-Arrival Picking for Microseismic Monitoring Based on Deep Learning 