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 |
经典的算法 |
改进算法 |
|
| 1 |
1.549 |
1.712 |
1.663 |
| 2 |
0.011 |
0.061 |
0.056 |
| 3 |
2.837 |
2.315 |
2.793 |
| 4 |
4.671 |
4.423 |
4.701 |
| 5 |
1.437 |
1.600 |
1.532 |
| 6 |
1.452 |
1.582 |
1.564 |
| 7 |
1.818 |
1.642 |
1.900 |
| 8 |
1.756 |
1.923 |
1.902 |
| 9 |
19.500 |
19.742 |
19.225 |
| 10 |
17.539 |
17.162 |
17.385 |
| 11 |
12.632 |
12.223 |
13.065 |
| 12 |
11.966 |
11.576 |
12.211 |
| 13 |
13.389 |
13.623 |
13.395 |
| 14 |
5.250 |
5.361 |
5.341 |
| 15 |
5.633 |
5.142 |
5.406 |
|
|
