This tool is designed to load, process, and visualize 3D subsurface data from multiple anisotropic and isotropic CSV files. The tool allows users to toggle between different visualization modes: standard view, interactive slicing, and structure identification.
- Standard View: Displays the full 3D volumetric data.
- Interactive Slicing: Allows users to slice through the 3D data along the x, y, and z axes interactively.
- Structure Identification: Isolates and visualizes specific structures, such as ore bodies, based on threshold values.
- Python 3.6+
- Required Python packages:
pandasnumpymayavitraitstraitsui
- Clone the Repository:
git clone https://github.com/yourusername/subsurface-visualization-tool.git cd subsurface-visualization-tool
#Install the Required Packages: pip install -r requirements.txt
#Usage #Run the Tool:
Ensure you have the necessary CSV files for anisotropic and isotropic data in the specified format. Run the visualization tool with the following command:
python visualize_subsurface_data.py
#Toggle Between Visualization Modes:
#Once the tool is running, you can toggle between the following modes using the dropdown menu:
#Standard View: The default view showing the entire 3D volume. #Interactive Slicing: Allows interactive slicing through the data. #Structure Identification: Displays structures based on a threshold value.
#File Structure visualize_subsurface_data.py: The main script that runs the visualization tool. README.md: Documentation for the project. requirements.txt: List of required Python packages.
Example Data The tool expects CSV files with the following structure:
x,y,z,value 0,0,0,1.5 0,0,1,1.6 0,0,2,1.7 ...
#Contributing If you would like to contribute to this project, feel free to open an issue or submit a pull request.
Contact For any questions or issues, please contact Heba Alazzeh via email.