Digital Core Modeling Based on Pretrained Generative Adversarial Neural Networks

<table class="table-group" id="tab2"><tr><td><table class="table"><tr><td class="thead-hr" colspan="3"><hr/></td></tr><tr class="thead"><td class="align_left">Samples</td><td class="align_center">Porosity (%)</td><td class="align_center">Specific area (<i>μ</i>m<sup>-1</sup>)</td></tr><tr><td class="thead-hr" colspan="3"><hr/></td></tr><tr><td class="align_left">Real core sample</td><td class="align_center">19.65</td><td class="align_center">0.438</td></tr><tr><td class="align_left">Generated sample 1</td><td class="align_center">19.51</td><td class="align_center">0.387</td></tr><tr><td class="align_left">Generated sample 2</td><td class="align_center">19.68</td><td class="align_center">0.384</td></tr><tr><td class="align_left">Generated sample 3</td><td class="align_center">19.50</td><td class="align_center">0.389</td></tr><tr><td class="align_left">Generated sample 4</td><td class="align_center">19.52</td><td class="align_center">0.386</td></tr><tr><td class="align_left">Generated sample 5</td><td class="align_center">19.55</td><td class="align_center">0.385</td></tr><tr class="table-tr"><td colspan="3"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

<div>Comparison of parameters between real core sample and generated core samples.</div>

Geofluids

tab2

Table 2

Table 2: Digital Core Modeling Based on Pretrained Generative Adversarial Neural Networks 