Genetic Mechanisms and Identification of Low-Resistivity Pay Zones: A Case Study of Pengyang Area, Ordos Basin, China

<table class="table-group" id="tab5"><tr><td><table class="table"><tr><td class="thead-hr" colspan="7"><hr/></td></tr><tr class="thead"><td class="align_left"></td><td class="align_center">n_estimators</td><td class="align_center">Max_depth</td><td class="align_center">Min_sample_split</td><td class="align_center">Min_samples_leaf</td><td class="align_center">Max_features</td><td class="align_center">Max_samples</td></tr><tr><td class="thead-hr" colspan="7"><hr/></td></tr><tr><td class="align_left">Optimum value</td><td class="align_center">200</td><td class="align_center">3</td><td class="align_center">2</td><td class="align_center">1</td><td class="align_center">60%</td><td class="align_center">2/3</td></tr><tr class="table-tr"><td colspan="7"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

<div>Optimized hyperparameter settings of the random forest algorithm.</div>

Geofluids

tab5

Table 5

Table 5: Genetic Mechanisms and Identification of Low-Resistivity Pay Zones: A Case Study of Pengyang Area, Ordos Basin, China 