MIT License

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
开源许可证
MIT License
Star 数
96
Fork 数
65

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?

仓库采用 MIT License 许可证,可免费使用与修改,商业使用请遵守许可证条款(例如保留版权声明与许可声明)。

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

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

简要分析

热度分
233
价值分
77
活跃状态
活跃

语言占比

Jupyter Notebook
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README

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

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