fair-well-logs

Visualization toolbox of geophysical logging data, including well logs, lithology log, core analysis, and CT-scan images. This visualization tool is suitable for data exploration and produce reproducible figures for scientific papers and reports. Easy to use by geoscience students, lecturers, and researchers.

https://github.com/anailil/fair-well-logs

Science Score: 31.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • CITATION.cff file
    Found CITATION.cff file
  • codemeta.json file
    Found codemeta.json file
  • .zenodo.json file
  • DOI references
  • Academic publication links
  • Academic email domains
  • Institutional organization owner
  • JOSS paper metadata
  • Scientific vocabulary similarity
    Low similarity (6.4%) to scientific vocabulary
Last synced: 10 months ago · JSON representation ·

Repository

Visualization toolbox of geophysical logging data, including well logs, lithology log, core analysis, and CT-scan images. This visualization tool is suitable for data exploration and produce reproducible figures for scientific papers and reports. Easy to use by geoscience students, lecturers, and researchers.

Basic Info
  • Host: GitHub
  • Owner: anailil
  • License: mit
  • Language: Jupyter Notebook
  • Default Branch: main
  • Size: 34.4 MB
Statistics
  • Stars: 6
  • Watchers: 1
  • Forks: 0
  • Open Issues: 6
  • Releases: 0
Created about 3 years ago · Last pushed almost 2 years ago
Metadata Files
Readme License Citation

README.md

Well-Log Visualization Tool

Visualization tool of geophysical logging data, including well logs, lithology log, core analysis, and CT-scan images. Suitable for data exploration and produce reproducible figures for scientific papers and reports. Easy to use by geoscience students, lecturers, and researchers.

Project Organization

├── CITATION           
├── LICENSE
├── Makefile           
├── README.md          
├── data
│   ├── external       <- Data from third party sources.
│   ├── interim        <- Intermediate data that has been transformed.
│   ├── processed      <- Data derived from both raw and interim data.
│   └── raw            <- Original data from source.
│
├── docs               
│
├── notebooks          
│
├── references         
│
├── reports            
│   └── figures        
│
├── requirements.txt   <- File generated with `pip freeze > requirements.txt`
│
├── setup.py           
├── src                
│   ├── __init__.py    
│   │
│   └── visualization  
│       └── visualize.py
│
└── tox.ini            

Project structure modified from the cookiecutter data science project template.

Owner

  • Name: Liliana Vargas Meleza
  • Login: anailil
  • Kind: user
  • Company: TU Delft

Citation (CITATION.md)

Suggested Citation

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Dependencies

environment.yml pypi
  • lasio *
requirements.txt pypi
  • PyQt5 ==5.15.7
  • PyQt5-sip ==12.11.0
  • certifi ==2022.12.7
  • ipython-genutils ==0.2.0
  • lasio ==0.30
  • munkres ==1.1.4
  • openpyxl ==3.1.1
  • pandas ==2.0.0
  • ply ==3.11
  • webencodings ==0.5.1
setup.py pypi