yohanesnuwara/python-bootcamp-for-geoengineers 开源项目中文解读：技术栈、适用场景与上手建议

项目介绍

yohanesnuwara/python-bootcamp-for-geoengineers 是一个托管在 GitHub 上的开源项目，主要使用 Jupyter Notebook 编写，采用 MIT License 许可证，目前获得 96 个 Star、65 次 Fork。

仓库全名: yohanesnuwara/python-bootcamp-for-geoengineers

README 摘要

This repository contains all Python source codes, notebooks, and data that I use for my course I've given to SPE student chapters and in PioPetro (Marietta College, Ohio, US). Topics of these courses revolve around basics of Python programming and applications in exploration and production. SPE Trisakti SC Course (13 September 2020) This course consisted of 3 sessions in 1 day; first session about basic Python…

完整内容见 GitHub 原始 README 或本页。

常见问题

python-bootcamp-for-geoengineers 用什么语言开发？

主要使用 Jupyter Notebook 编写，采用 MIT License 许可证，目前有 96 个 Star。

python-bootcamp-for-geoengineers 可以免费商用吗？

如何获取 python-bootcamp-for-geoengineers 的源码？

可以直接克隆仓库：git clone https://github.com/yohanesnuwara/python-bootcamp-for-geoengineers.git，默认分支为 master；安装与运行步骤见仓库 README。

python-bootcamp-for-geoengineers 最近还在维护吗？

仓库最近一次更新为 2月24日，当前没有未关闭的 Issue；Star 数为 96，可作为社区活跃度的参考。

关于

Python source codes and notebooks from my courses I've given to SPEs and in Marietta College, Ohio, US

courses geoscience oil-and-gas python tutorials

MIT License
96 Stars
65 Forks
7 Watching

描述取自 GitHub 官方 API，中文内容由 GitRead 中文社区编辑团队整理。

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233

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yohanesnuwara

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python-bootcamp-for-geoengineers-logo

This repository contains all Python source codes, notebooks, and data that I use for my course I’ve given to SPE student chapters and in PioPetro (Marietta College, Ohio, US). Topics of these courses revolve around basics of Python programming and applications in exploration and production.

SPE Trisakti SC Course (13 September 2020)

This course consisted of 3 sessions in 1 day; first session about basic Python programming, second session about Python application in exploration (basic well-log analysis); and third session about Python application in production (basic decline curve analysis of production data).

Session	Topic	Video	Source code
1	NumPy, Matplotlib, Pandas, and Scipy	Lecture video (Play until 38:21)	Notebook
2	Basic well-log data analysis	Lecture video (Play until 2:30:29)	Notebook
3	Basic decline curve analysis	Lecture video (Play until 3:13:35)	Notebook

SPE Port Harcourt Section Course in Nigeria (November 2020)

This course consisted of 3 sessions in 1 month; first session about basic Python programming and well-log analysis, second session about material balance analysis; and third session about well-test analysis. There were also coding assignments after this course.

Session	Topic	Video	Source code	Assignment	Solution
1a	NumPy, Matplotlib, and Pandas	Lecture video (Play until 1:35:20)	Notebook
1b	Advanced well-log data analysis	Lecture video	Notebook	Notebook	Notebook
2	Material balance analysis	Lecture video	Notebook
3	Well-test modeling and analysis	Lecture video	Notebook	Notebook	Notebook

PioPetro Course in Marietta College, Ohio, US (February 2021)

This course consisted of 4 sessions in 1 month; first session about basic Python programming, second session about production data analysis; and third session about exploration data visualization of well-log data, wellbore trajectory, and natural fractures; and fourth session about decline curve analysis and production forecast. This course was held as part of the Summer Internship Program.

Session	Topic	Video	Source code
1	NumPy, Matplotlib, Pandas, and Scipy	Lecture video	Notebook
2	Production data analysis	Lecture video	Notebook
3	Exploration data visualization: well-log, trajectory, natural fractures	Lecture video	Notebook
4	Basic decline curve analysis and forecast	Lecture video	Notebook

python-bootcamp-for-geoengineers