https://github.com/aradfarahani/Geoelectricspy

This project presents an interactive 3D visualization of subsurface resistivity using geoelectric data. It utilizes Python and its scientific libraries to process and visualize the data across multiple depths, ranging from 1 meter to 464 meters.
https://github.com/aradfarahani/Geoelectricspy

data goelectrics visualization

Last synced: 22 days ago
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This project presents an interactive 3D visualization of subsurface resistivity using geoelectric data. It utilizes Python and its scientific libraries to process and visualize the data across multiple depths, ranging from 1 meter to 464 meters.

• Host: GitHub
• URL: https://github.com/aradfarahani/Geoelectricspy
• Owner: aradfarahani
• License: mit
• Created: 2024-04-05T22:52:28.000Z (about 1 year ago)
• Default Branch: main
• Last Pushed: 2024-08-18T23:28:25.000Z (8 months ago)
• Last Synced: 2024-08-19T00:32:26.939Z (8 months ago)
• Topics: data, goelectrics, visualization
• Language: Jupyter Notebook
• Homepage:
• Size: 444 KB
• Stars: 11
• Watchers: 1
• Forks: 1
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

Awesome Lists containing this project

• awesome-geophysics - `Geoelectricspy`

README

        
# Geoelectricspy

[![CodeFactor](https://www.codefactor.io/repository/github/aradfarahani/geoelectricspy/badge)](https://www.codefactor.io/repository/github/aradfarahani/geoelectricspy)

[![DOI](https://zenodo.org/badge/DOI/10.5281/zenodo.10966815.svg)](https://doi.org/10.5281/zenodo.10966815)

![ezgif-1-3c5033177d](https://github.com/aradfarahani/Geoelectricspy/assets/90475349/9932c675-414d-449e-84cf-e7ba028f8d93)

## Overview

This project presents an interactive 3D visualization of subsurface resistivity using geoelectric data. It utilizes Python and its scientific libraries to process and visualize the data across multiple depths, ranging from 1 meter to 464 meters.

## Features

- Data manipulation with `pandas`

- Numerical operations with `numpy`

- 3D plotting with `matplotlib`

- Cubic interpolation with `scipy`

  

## Usage

Load the data from an Excel file and run the script to generate the 3D visualization. The interactive plot allows for rotation and zooming to explore different layers of resistivity.

## Data

The data is stored in ‘processed-data.xlsx’, which contains the X, Y coordinates and resistivity values for various depth

## Visualization

The 3D plot is generated using matplotlib and mpl_toolkits.mplot3d. Each layer’s resistivity is interpolated and visualized with a color map to represent different resistivity levels.

## Contributing

Contributions to improve the visualization or extend the capabilities of this project are welcome. Please fork the repository and submit a pull request.

## License

This project is open-sourced under the MIT License.

## Contact

For any queries or discussions regarding the project, feel free to reach out.

## Installation

To run this project, you will need to install the following Python libraries:

```bash

pip install pandas numpy matplotlib scipy