研究文章
参数识别的多级压裂水平井基于PSO-RBF神经网络
|
| 裂缝数量 |
测量值 |
PSO-BPNN算法 |
SVR算法 |
PSO-RBN算法 |
|
| 1 |
1.549 |
1.463 |
1.294 |
1.663 |
| 2 |
0.011 |
0.085 |
0.094 |
0.056 |
| 3 |
2.837 |
2.668 |
2.762 |
2.793 |
| 4 |
4.671 |
5.172 |
4.854 |
4.701 |
| 5 |
1.437 |
1.660 |
1.687 |
1.532 |
| 6 |
1.452 |
1.887 |
1.854 |
1.564 |
| 7 |
1.818 |
2.024 |
1.687 |
1.900 |
| 8 |
1.756 |
2.034 |
2.114 |
1.902 |
| 9 |
19.500 |
19.060 |
18.965 |
19.225 |
| 10 |
17.539 |
17.837 |
17.365 |
17.385 |
| 11 |
12.632 |
13.092 |
12.394 |
13.065 |
| 12 |
11.966 |
11.674 |
12.321 |
12.211 |
| 13 |
13.389 |
13.157 |
13.256 |
13.395 |
| 14 |
5.250 |
5.638 |
5.054 |
5.341 |
| 15 |
5.633 |
5.159 |
6.254 |
5.406 |
|
|
