/AI-in-well-logging

人工智能在石油测井上的应用包括采用机器学习,深度学习等相关方法进行岩性识别与相关测井曲线的回归。The application of artificial intelligence in well logging includes the use of machine learning, deep learning and other related methods for lithology identification and regression of related well logging data.

Primary LanguageJupyter NotebookMIT LicenseMIT

这是我的科研实验备份文件夹

如果觉得该项目对你有帮助,请帮我点个star 谢谢!

以上实验的实验数据均在名为numpy-的存储库中https://github.com/sunyingjian/numpy-

有任何问题欢迎在Discussions发帖或发起issue与我交流

我的邮箱chinasunyingjian@gmail.com

推荐采用Google colab 运行实验,方便快捷 https://colab.research.google.com/

This is my scientific research experiment backup folder

If you think this project is helpful to you, please give me a star. Thank you!

The experimental data of the above experiments are all in a repository named numpy-https://github.com/sunyingjian/numpy-

If you have any questions, please open an issue to communicate with me, or send an email to chinasunyingjian@gmail.com

Google colab is recommended to run experiments, which is convenient and quick https://colab.research.google.com/