Creating a synthetic hydrodynamic model with machine learning

Using machine learning to create a synthetic hydrodynamic model

Master thesis

• Summary
• Repo structure
• Working with the repo

Summary

Work with RN-Digital and

Masters program Data Science in Oil&Gas, Lomonosov Moscow state university

Repo structure

The project has the following structure:

• description/: A description of data in .pdf fromat
• notebooks/: .ipynb Colab-friendly notebooks for data EDA and model training
• data/: input data (can also be downloaded here)
• utils/: .py Python code with functions used in Jupyter notebooks

Working with the repo

To work with the repo, install packages from the requirements.txt file:

python -m venv orf_pred
.\orf_pred\Scripts\activate
pip install -r requirements.txt