Identification and classification of water absorption profile of distributed optical fiber vibration signal based on XGBoost algorithm
oleh: Yi Wang, Moujie Li, Xincheng Li, Huawei Wang, Longmei Tian, Rui Deng
| Format: | Article |
|---|---|
| Diterbitkan: | Springer 2022-10-01 |
Deskripsi
Article Highlights The paper presents a machine learning study using fiber-optic sensing data to evaluate the water absorption profile for oilfield water-injection purpose. The correlation model of distributed optical fiber vibration signal and water absorption profile type is obtained by XGBoost algorithm training. The VDM method is introduced to denoise the distributed fiber optic vibration signals to improve the classification effect of XGBoost algorithm recognition.