# sunyingjian/AI-in-well-logging

<https://repo.masters-masters.com/en/repos/sunyingjian/AI-in-well-logging>

[Home](https://repo.masters-masters.com/en) › [sunyingjian](https://repo.masters-masters.com/en/owners/sunyingjian) › [AI-in-well-logging](https://repo.masters-masters.com/en/repos/sunyingjian/AI-in-well-logging)

sunyingjian/AI-in-well-logging has 185 stars on GitHub. Its RepoMasters card: Prototype tier. 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…

| Field | Value |
| --- | --- |
| Owner | [sunyingjian](https://repo.masters-masters.com/en/owners/sunyingjian) |
| Stars | 185 |
| Forks | 38 |
| Language | [Jupyter Notebook](https://repo.masters-masters.com/en/languages/jupyter-notebook) |
| License | MIT |
| Created | 2020 |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [sunyingjian/AI-in-well-logging](https://github.com/sunyingjian/AI-in-well-logging) |

## Repository

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.

The tier for repos with 100 to 249 ★. Published odds per card pulled: 70%. Rarity: Common.

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Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.