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This project integrates conventional and image well logs for lithofacies classification using tree-based machine learning models, including Random Forest and Extremely Randomized Trees.

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rafaseto/lithofacies-classification-from-image-logs

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Lithofacies Classification From Image Logs

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Prerequisites

To work on this project, ensure you have the following installed:

  • Python 3.9 or above
  • Git (for cloning the repository)

Setting Up the Environment

  1. Clone the repository:

    git clone https://github.com/rafaseto/lithofacies-classification-from-image-logs.git 
    cd lithofacies-classification-from-image-logs
  2. Create a virtual environment in the project directory:

    python -m venv venv
  3. Activate the virtual environment:

    • On Windows:
      venv\Scripts\activate
    • On macOS/Linux:
      source venv/bin/activate

Installing Dependencies

With the virtual environment activated, install the required packages:

pip install -r requirements.txt

About

This project integrates conventional and image well logs for lithofacies classification using tree-based machine learning models, including Random Forest and Extremely Randomized Trees.

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