Welcome to "Digital Geoscience Data Handling using Python" Series. During this physical-distancing-new-normal year, I try to compile my experiences in handling digital geoscience / petrotechnical data.
This will include: Parsing any type of data, QC analysis, database, feeding data for geophysical inversion - machine learning / deep learning stuffs, and maybe handling those data to do some GP-GPU too in the future.
I made this tutorial as beginner-friendly as possible, so some words that I use might be too simple or 'right' as it is intended in technical terms. Some code are not pythonic for that reason too.
You can also run it online using Google's Colab here:
| Colab's link | Description |
|---|---|
| Link | 01_Handling_LAS_Well_Data.ipynb |
| Link | 02_Handling_Seismic_Data_(SEGY).ipynb |
| Link | 03_Handling_EDI_Magnetotellurics_MT_data.ipynb |
| Link | 04_Handling_Seismology_Data_MSEED.ipynb |
| Link | 05-Handling Well Deviation Survey.ipynb |
any feedback just hmu ([email protected]).