|
|
Automatic well test interpretation based on convolutional neural network for a radial composite reservoir
|
LI Daolun,LIU Xuliang,ZHA Wenshu,YANG Jinghai,LU Detang
|
|
|
Table 6 Comparison of interpretation parameters from the proposed CNN method and least square method.
|
|
Field case | Parameter | Interpretation value of the CNN method | Interpretation value of least square method | Relative Error/% | 1 | K | 1.277×10-3 μm2 | 10.082×10-3 μm2 | -689.51 | S | -2.693 6 | 1.275 9 | 147.37 | C | 0.044 6 m3/MPa | 0.049 5 m3/MPa | -10.99 | M | 8.766 3 | 8.164 3 | 6.87 | F | 1.624 6 | 0.140 6 | 91.35 | 6 | K | 17.935×10-3 μm2 | 15.604×10-3 μm2 | 13.00 | S | 1.843 0 | 1.313 3 | 28.74 | C | 0.015 2 m3/MPa | 0.016 2 m3/MPa | -6.58 | M | 10.974 4 | 6.988 1 | 36.32 | F | 0.163 3 | 0.083 3 | 48.99 |
|
|
|