Artificial Neural Network- (ANN-) Based Proxy Model for Fast Performances’ Forecast and Inverse Schedule Design of Steam-Flooding Reservoirs

<table class="table-group" id="tab4"><tr><td><table class="table"><tr><td class="thead-hr" colspan="3"><hr/></td></tr><tr class="thead"><td class="align_left">Parameter</td><td class="align_center">Unit</td><td class="align_center">Expectation</td></tr><tr><td class="thead-hr" colspan="3"><hr/></td></tr><tr><td class="align_left">Five-spot permeability</td><td class="align_center">D</td><td class="align_center">4</td></tr><tr><td class="align_left">Well space</td><td class="align_center">m</td><td class="align_center">350</td></tr><tr><td class="align_left">Steam injection rate</td><td class="align_center">m<sup>3</sup>/d</td><td class="align_center">5500</td></tr><tr><td class="align_left">PBHP</td><td class="align_center">Fraction</td><td class="align_center">0.5</td></tr><tr><td class="align_left">Steam quality</td><td class="align_center">Fraction</td><td class="align_center">0.7</td></tr><tr class="table-tr"><td colspan="3"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

<div>Basic input parameters of the forward-looking ANN model.</div>

Mathematical Problems in Engineering

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Table 4

Table 4: Artificial Neural Network- (ANN-) Based Proxy Model for Fast Performances’ Forecast and Inverse Schedule Design of Steam-Flooding Reservoirs 

Table 4 | Artificial Neural Network- (ANN-) Based Proxy Model for Fast Performances’ Forecast and Inverse Schedule Design of Steam-Flooding Reservoirs 