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

<div>Sensitivity of cumulative oil production to project parameters. (a) Well space. (b) PBHP. (c) Injection rate. (d) Steam quality.</div>

Mathematical Problems in Engineering

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Figure 8

Figure 8: Artificial Neural Network- (ANN-) Based Proxy Model for Fast Performances’ Forecast and Inverse Schedule Design of Steam-Flooding Reservoirs 

Figure 8 | Artificial Neural Network- (ANN-) Based Proxy Model for Fast Performances’ Forecast and Inverse Schedule Design of Steam-Flooding Reservoirs 