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

<div>The probability density functions of four engineering parameters. (a) Well space. (b) Injection rate. (c) PBHP. (d) Steam quality.</div>

Mathematical Problems in Engineering

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Figure 9

Figure 9: Artificial Neural Network- (ANN-) Based Proxy Model for Fast Performances’ Forecast and Inverse Schedule Design of Steam-Flooding Reservoirs 

Figure 9 | Artificial Neural Network- (ANN-) Based Proxy Model for Fast Performances’ Forecast and Inverse Schedule Design of Steam-Flooding Reservoirs 