Machine Learning for Automatic Facies Classification from Tomography Models
Author:
Nitchakul Pipitvej
CID: 01592487
Project Information
This project is part of an independent research project for MSc in Applied Computational Science and Engineering, Module ACSE-9, at Imperial College London. The supervisor of this project is Dr Michele Paulatto.
Requirements and Dependencies
- hdbscan==0.8.22
- numpy==1.14.3
- pandas==0.23.0
- seaborn==0.8.1
- scikit-learn==0.19.1
- scikit-image==0.13.1
- scipy==1.1.0
The listed version may not be the latest release of each libraries and may result in some error when compiling with different version.
User Guide
Installation
This package can be installed using the command
pip install acse-9-irp-wafflescore
or simply clone the Git repository on to you machine via web or using the command
git clone https://github.com/msc-acse/acse-9-independent-research-project-wafflescore.git
Implementation
The python code that were developed are located in build/lib.
Example
An example of a simple run of all the methods explored are located in example folder. Additional notes and run result are recorded in Notebooks.
Compatibility notes
This project is built and tested on Python 3.6.5
License
This package is licensed under MIT License
