yohanesnuwara / MLGeo
Exploration of machine learning in geoscience use cases
☆73Updated 6 months ago
Related projects ⓘ
Alternatives and complementary repositories for MLGeo
- Prediction of Equinor Volve well logs Data☆16Updated 4 years ago
- Python utility for formation evaluation and petrophysical analysis support☆37Updated 3 weeks ago
- Basic Well Log Interpretation with python, pandas, matplotlib☆11Updated 8 years ago
- Models of Oil and Gas Industry in Python☆27Updated 3 years ago
- We have developed a simple, 1 layer neural network to estimate Rock Types☆17Updated 3 years ago
- SPWLA PDDA’s 1st Petrophysical Data-Driven Analytics Contest -- Sonic Log Synthesis☆68Updated 4 years ago
- the results, code and the data for the Force 2020 Machine learning competition after the completion of the competition in October 2020.☆139Updated last year
- This project attempts to construct a missing well log from other available well logs, more specifically an NMR well log from the measured…☆34Updated 4 years ago
- Open Source library for Reservoir Engineering Material Balance☆29Updated last year
- Repository for the 2021 Machine Learning workshop☆13Updated 3 years ago
- Practicing machine learning (from scratch) with Python 🐍☆15Updated 2 years ago
- Quantitative interpretation methods for reservoir characterization using well log analysis and quantitative seismic rock physics☆13Updated 4 years ago
- ☆40Updated 4 years ago
- An example of carrying out unsupervised cluster analysis for facies prediction from Well Logs☆18Updated 3 years ago
- Petroleum Engineering and Geosciences exercises in Python☆70Updated 3 years ago
- Framework for correlating two or more well logs using feature vectors generated from CNN's in Pytorch☆139Updated 5 years ago
- Philliec459 / Jupyter-Notebooks_for-Characterization-of-a-New-Open-Source-Carbonate-Reservoir-Benchmarking-Case-StWe have used the new hierarchical carbonate reservoir benchmarking case study created by Costa Gomes J, Geiger S, Arnold D to be used for…☆21Updated last year
- In this work, we will use Force2020 well data to employ Deep Learning for lithology prediction☆13Updated 3 years ago
- Predict Petrophysical Rock Types (PRT) using KNN☆10Updated 3 years ago
- ☆29Updated 3 years ago
- Worked solutions of Prof. Mark Zoback's Reservoir Geomechanics course (StanfordOnline: GEOPHYSX0001) homeworks implemented using Python i…☆67Updated last year
- Python source codes and notebooks from my courses I've given to SPEs and in Marietta College, Ohio, US☆78Updated last year
- ☆10Updated 2 years ago
- Philliec459 / NEW-Carbonate-Characterization-Workflow-Jupiter-Notebook-Modules-with-Clerke-Arab-D-Calibration-DataCarbonate Reservoir Characterization workflow using Clerke’s carbonate Arab D Rosetta Stone calibration data to provide for a full pore s…☆19Updated 2 years ago
- A collection of notebooks exploring ideas for the Force 2020 Lithology Classification Challenge.☆20Updated 4 years ago
- This is for AI prediction using seismic attributes☆22Updated 4 years ago
- ☆28Updated 3 months ago
- The code describes how unsupervised ML can be applied to well log data for efficient clustering. A part of the well log data is provided.☆46Updated 5 years ago
- We have used Mihai's PetroGG and modified the program to be used with our shaley-sand Gulf Coast data. In this version we are using Vshal…☆13Updated 4 years ago
- ☆12Updated 4 years ago