Research on Apparent Resistivity Imaging of Transient Electromagnetic Method for Oil and Gas Pipelines Based on GA-BP Neural Network

<table class="table-group" id="tab3"><tr><td><table class="table"><tr><td class="thead-hr" colspan="5"><hr/></td></tr><tr class="thead"><td class="align_left">Algorithm</td><td class="align_center">Computational time</td><td class="align_center">Maximum number of iterations</td><td class="align_center">Maximum error (%)</td><td class="align_center">Average error (%)</td></tr><tr><td class="thead-hr" colspan="5"><hr/></td></tr><tr><td class="align_left">Numerical algorithm</td><td class="align_center">About one hour</td><td class="align_center">28</td><td class="align_center">1.14</td><td class="align_center">0.0471</td></tr><tr><td class="align_left">GA-BP neural network</td><td class="align_center">Less than 1 s</td><td class="align_center">—</td><td class="align_center">0.51</td><td class="align_center">0.26</td></tr><tr class="table-tr"><td colspan="5"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

<div>Comparison of numerical algorithm and trained GA-BP neural network algorithm.</div>

Mathematical Problems in Engineering

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Table 3

Table 3: Research on Apparent Resistivity Imaging of Transient Electromagnetic Method for Oil and Gas Pipelines Based on GA-BP Neural Network 