Lost circulation monitoring using bi-directional LSTM and data augmentation

Author:

Sun WeifengORCID,Li Weihua,Zhang Dezhi,Liu Kai,Wang Chen,Dai Yongshou,Huang WeiminORCID

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Reference29 articles.

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2. Using Bayesian network to develop drilling expert systems;Al-Yami,2016

3. Drilling through data: Automated kick detection using data mining;Alouhali,2018

4. Sensitivity of early kick detection parameters in full-scale gas kick experiments with oil-and water-based drilling muds;Anfinsen,1992

5. Status of data-driven methods and their applications in oil and gas industry;Balaji,2018

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1. Intelligent kick detection using a parameter adaptive neural network;Geoenergy Science and Engineering;2024-03

2. The role of physical lost circulation materials type on the evolution of strong force chains of plugging zone in deep fractured tight reservoir;Powder Technology;2024-01

3. Intelligent Lost Circulation Monitoring with Unbalanced Data Samples;2023 5th International Conference on Intelligent Control, Measurement and Signal Processing (ICMSP);2023-05-19

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