Downhole working conditions analysis and drilling complications detection method based on deep learning

Title
Downhole working conditions analysis and drilling complications detection method based on deep learning
Authors
Keywords
Downhole drilling complications detection, Wavelet reconstruction, Fluctuation items coupling analysis method, Bidirectional generative adversarial network, Supervised learning, Real field drilling data
Journal
Journal of Natural Gas Science and Engineering
Volume 81, Issue -, Pages 103485
Publisher
Elsevier BV
Online
2020-07-25
DOI
10.1016/j.jngse.2020.103485

Ask authors/readers for more resources

Reprint

Contact the author

Find Funding. Review Successful Grants.

Explore over 25,000 new funding opportunities and over 6,000,000 successful grants.

Explore

Become a Peeref-certified reviewer

The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.

Get Started