mardani72 / Practical_ML_Tutorial_Facies_examp
☆34Updated 3 years ago
Related projects: ⓘ
- Source Code for 'Machine Learning in the Oil and Gas Industry' by Yogendra Narayan Pandey, Ayush Rastogi, Sribharath Kainkaryam, Srimoyee…☆103Updated 3 years ago
- Exploration of machine learning in geoscience use cases☆71Updated 4 months ago
- This repository has all my projects on Oil and Gas (and Non Oil & Gas) Machine Learning Topics☆37Updated 2 years ago
- SPWLA PDDA’s 1st Petrophysical Data-Driven Analytics Contest -- Sonic Log Synthesis☆67Updated 3 years ago
- Open Source library for Reservoir Engineering Material Balance☆29Updated 11 months ago
- Python and R notebooks accompanying a talk at the 2018 CSEG / CSPG Geoconvention in Calgary - and a lot MORE!☆27Updated 3 years ago
- ☆14Updated 3 years ago
- ☆26Updated this week
- ☆82Updated last year
- Intro to basic subsurface workflows using Google Colab☆17Updated 4 years ago
- In this work, we will use Force2020 well data to employ Deep Learning for lithology prediction☆12Updated 3 years ago
- Petroleum Engineering and Geosciences exercises in Python☆73Updated 3 years ago
- Python source codes and notebooks from my courses I've given to SPEs and in Marietta College, Ohio, US☆74Updated last year
- ☆10Updated 2 years ago
- ☆23Updated 6 months ago
- Prediction of Equinor Volve well logs Data☆16Updated 4 years 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
- ☆25Updated 3 years ago
- Repository for the 2021 Machine Learning workshop☆13Updated 3 years ago
- the results, code and the data for the Force 2020 Machine learning competition after the completion of the competition in October 2020.☆136Updated last year
- Oil and Gas Conversion☆16Updated 2 years ago
- Predict Petrophysical Rock Types (PRT) using KNN☆9Updated 2 years ago
- Basic Well Log Interpretation with python, pandas, matplotlib☆11Updated 8 years ago
- Petroleum Data Collector☆46Updated 3 years ago
- LAS Explorer is a Streamlit web app that allows you to understand the contents of a LAS file. Also includes the ability to identify missi…☆40Updated last year
- Models of Oil and Gas Industry in Python☆27Updated 3 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
- ☆39Updated 4 years ago
- Supplement to Three common statistical missteps we make in reservoir characterization☆14Updated 3 months ago
- A collection of notebooks exploring ideas for the Force 2020 Lithology Classification Challenge.☆20Updated 4 years ago