Intelligent Monitoring Model for Lost Circulation Based on Unsupervised Time Series Autoencoder

被引:0
|
作者
Wu, Liwei [1 ,2 ]
Wang, Xiaopeng [1 ,2 ]
Zhang, Ziyue [3 ]
Zhu, Guowei [1 ,2 ]
Zhang, Qilong [1 ,2 ]
Dong, Pinghua [1 ,2 ]
Wang, Jiangtao [4 ]
Zhu, Zhaopeng [3 ]
机构
[1] State Key Lab Offshore Oil & Gas Exploitat, Beijing 102209, Peoples R China
[2] CNOOC China Ltd, Tianjin Branch, Tianjin 300459, Peoples R China
[3] China Univ Petr, Sch Petr Engn, Beijing 102249, Peoples R China
[4] China France Bohai Geoserv Co Ltd, Tianjin 300456, Peoples R China
基金
中国国家自然科学基金; 美国国家科学基金会;
关键词
lost circulation monitoring; unsupervised; time series autoencoder; BiLSTM-AE;
D O I
10.3390/pr12071297
中图分类号
TQ [化学工业];
学科分类号
0817 ;
摘要
Lost circulation, a common risk during the drilling process, significantly impacts drilling safety and efficiency. The presence of data noise and temporal evolution characteristics pose significant challenges to the accurate monitoring of lost circulation. Traditional supervised intelligent monitoring methods rely on large amounts of labeled data, which often do not consider temporal fluctuations in data, leading to insufficient accuracy and transferability. To address these issues, this paper proposes an unsupervised time series autoencoder (BiLSTM-AE) intelligent monitoring model for lost circulation, aiming to overcome the limitations of supervised algorithms. The BiLSTM-AE model employs BiLSTM for both the encoder and decoder, enabling it to comprehensively capture the temporal features and dynamic changes in the data. It learns the patterns of normal data sequences, thereby automatically identifying anomalous risk data points that deviate from the normal patterns during testing. Results show that the proposed model can efficiently identify and monitor lost circulation risks, achieving an accuracy of 92.51%, a missed alarm rate of 6.87%, and a false alarm rate of 7.71% on the test set. Compared to other models, the BiLSTM-AE model has higher accuracy and better timeliness, which is of great significance for improving drilling efficiency and ensuring drilling safety.
引用
收藏
页数:15
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