A Novel Data-Driven Model for Dynamic Prediction and Optimization of Profile Control in Multilayer Reservoirs

<table class="figure-group"><tr class="fig-image" id="a"><td><object data="https://static-preview.hindawi.com/articles/geofluids/volume-2021/3272860/figures/3272860.fig.006a.svgz" name="3272860.fig.006a" type="image/svg+xml"></object></td></tr><tr class="fig-caption"><td><b>(a) </b>Connectivity parameters before operation</td></tr><tr class="fig-image" id="b"><td><object data="https://static-preview.hindawi.com/articles/geofluids/volume-2021/3272860/figures/3272860.fig.006b.svgz" name="3272860.fig.006b" type="image/svg+xml"></object></td></tr><tr class="fig-caption"><td><b>(b) </b>Neglect the heterogeneity of connectivity parameters</td></tr><tr class="fig-image" id="c"><td><object data="https://static-preview.hindawi.com/articles/geofluids/volume-2021/3272860/figures/3272860.fig.006c.svgz" name="3272860.fig.006c" type="image/svg+xml"></object></td></tr><tr class="fig-caption"><td><b>(c) </b>Consider the heterogeneity of connectivity parameters</td></tr></table>

<div>Distribution of connectivity parameters in different cases.</div>

Geofluids

fig6

Figure 6

Figure 6: A Novel Data-Driven Model for Dynamic Prediction and Optimization of Profile Control in Multilayer Reservoirs 