semvec/pypi-packages huggingface dataset:
PyTie 4.0.2
Well tie in Python
Requires Python: >=3.7

**Website and documentation**: [https://github.com/raquelsilva/pytie](https://github.com/raquelsilva/pytie)

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# PyTie
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*Well tie in Python*

![pytie badge](https://img.shields.io/badge/PyTie-v4.0.2-ff69b4.svg)
[![DOI](https://zenodo.org/badge/DOI/10.5281/zenodo.2528562.svg)](https://doi.org/10.5281/zenodo.2528562)


This library provides an opportunity for geoscientists to know all the steps required for 
seismic well tying and creation of a time depth-table. At the end, you can export an already 
formatted time-depth table and a synthetic seismogram to being imported in any interpretation software.

### How to import functions:

    import pytie.functions as pytie
    import pytie 

### Required packages:
- numpy
- pandas
- matplotlib
- lasio
- scipy


**Documentation:**   
In the GitHub page you will find at the Wiki section a description of the functions.
To access it directly, please, follow the link below:

[Wiki](https://github.com/raquelsilva/pytie/wiki/) 

**Research:**    
Make your research **reproducible** by using open data and sharing your results with the community.
You can find open data in the following addresses:

[USGS (https://geology.cr.usgs.gov/energy/of00-200/WELLS/WELLIDX.HTM)](https://geology.cr.usgs.gov/energy/of00-200/WELLS/WELLIDX.HTM)  

[TerraNubis (https://terranubis.com/datalist/free)](https://terranubis.com/datalist/free)  

[Equinor (https://www.equinor.com/en/how-and-why/digitalisation-in-our-dna.html)](https://www.equinor.com/en/how-and-why/digitalisation-in-our-dna.html)  


**Teaching:**    
With PyTie you can teach the basics of seismic processing/seismic-well tie with real data.