BP神经网络在富钾卤水中的应用研究
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陈科贵, 李进, 黄长兵, 陈愿愿, 王刚, 刘阳
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Application Research of BP Neural Network in Potassium-Rich Brine
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Kegui Chen, Jin Li, Changbing Huang, Yuanyuan Chen, Gang Wang, Yang Liu
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表3 学习样本示例 |
Table 3 Examples of study samples |
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GR/API | AC/(μs/m) | CNL/% | DEN/(g/cm3) | Rt/(Ω·m) | 流体性质 | 10.256 | 165.726 | 15.474 | 2.641 | 15.502 | 卤水层 | 8.254 | 183.072 | 15.594 | 2.642 | 16.352 | 卤水层 | 7.267 | 176.904 | 15.813 | 2.646 | 13.183 | 卤水层 | 5.325 | 78.231 | 2.257 | 2.849 | 139.737 | 干层 | 6.254 | 88.621 | 4.252 | 2.841 | 140.643 | 干层 | 8.623 | 67.391 | 3.254 | 2.841 | 141.549 | 干层 |
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