ACGAN and BN based method for downhole incident diagnosis during the drilling process with small sample data size

Wang, Chuan; Ma, Jiajun; Jin, Hao; Wang, Guorong; Chen, Chong; Xia, Yong; Gou, Jun

doi:10.1016/j.oceaneng.2022.111516

Cited by 8 publications

(1 citation statement)

References 44 publications

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“…In the construction of the data set, the well-depth data are used as index values in the well-depth. 200 well-depth data were used as sample X (depth matrix) 20 – 22 . For example, the data from 1 -200 m were used to predict data such as total weight and ROP for 201-400 m. Predicting parameters such as total weight and ROP, extends the life of coiled tubing and increases operational safety and drilling efficiency.…”

Section: Parameter Prediction For Coiled Tubing Drillingmentioning

confidence: 99%

Parameter prediction of coiled tubing drilling based on GAN–LSTM

Zhang

Kai

Chen

et al. 2023

Sci Rep

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With the increasing development of coiled tubing drilling technology, the advantages of coiled tubing drilling technology are becoming more and more obvious. In the operation process of coiled tubing, Due to various different drilling parameters, manufacturing defects, and improper human handling, the coiled tubing can curl up and cause stuck drilling or shortened service life problems. Circulation pressure, wellhead pressure, and total weight have an important influence on the working period of coiled tubing. For production safety, this paper predicts circulation pressure, ROP, wellhead pressure, and finger weight using GAN–LSTM after studying drilling engineering theory and analyzing a large amount of downhole data. Experimental results show that GAN–LSTM can predict the parameters of circulation pressure, wellhead pressure ROP and total weight to a certain extent. After much training, the accuracy is about 90%, which is about 17% higher than that of the GAN and LSTM. It has a certain guiding significance for coiled tubing operation, increasing operational safety and drilling efficiency, thus reducing production costs.

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Section: Parameter Prediction For Coiled Tubing Drillingmentioning

confidence: 99%