Apress / machine-learning-oil-gas-industryLinks
Source Code for 'Machine Learning in the Oil and Gas Industry' by Yogendra Narayan Pandey, Ayush Rastogi, Sribharath Kainkaryam, Srimoyee Bhattacharya, and Luigi Saputelli
☆125Updated 5 years ago
Alternatives and similar repositories for machine-learning-oil-gas-industry
Users that are interested in machine-learning-oil-gas-industry are comparing it to the libraries listed below
Sorting:
- ☆189Updated 3 years ago
- This repository has all my projects on Oil and Gas (and Non Oil & Gas) Machine Learning Topics☆47Updated 4 years ago
- Python worked examples and problems from Reservoir Engineering textbooks (Brian Towler SPE Textbook Vol. 8, etc.)☆193Updated 5 years ago
- Open Source library for Reservoir Engineering Material Balance☆30Updated 2 years ago
- Exploration of machine learning in geoscience use cases☆81Updated last year
- Python source codes and notebooks from my courses I've given to SPEs and in Marietta College, Ohio, US☆86Updated 5 months ago
- Petroleum Engineering and Geosciences exercises in Python☆77Updated 4 years ago
- Models of Oil and Gas Industry in Python☆29Updated 4 years ago
- Petroleum Data Collector☆56Updated 4 years ago
- ☆100Updated 3 years ago
- Open source petroleum engineering projects, useful scripts, functions, and jupyter notebooks☆20Updated 5 years ago
- We have developed a simple, 1 layer neural network to estimate Rock Types☆19Updated 4 years ago
- Reservoir simulator in Python language☆89Updated 4 years ago
- Python utilities for reservoir engineering calculations☆166Updated last month
- A series of Jupyter notebooks showing how to load well log and petrophysical data in python.☆349Updated 2 years ago
- Supplement to Three common statistical missteps we make in reservoir characterization☆14Updated last year
- SPWLA PDDA’s 1st Petrophysical Data-Driven Analytics Contest -- Sonic Log Synthesis☆76Updated 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 6 years ago
- ☆27Updated 5 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…☆21Updated 3 years ago
- ☆34Updated 4 years ago
- Predict Petrophysical Rock Types (PRT) using KNN☆11Updated 4 years ago
- The python tool for well trajectories☆96Updated 2 years ago
- Framework for correlating two or more well logs using feature vectors generated from CNN's in Pytorch☆152Updated 6 years ago
- Python utility for formation evaluation and petrophysical analysis support☆44Updated 2 months ago
- Oil and Gas Conversion☆17Updated 4 years ago
- Basic Well Log Interpretation with python, pandas, matplotlib☆14Updated 9 years ago
- the results, code and the data for the Force 2020 Machine learning competition after the completion of the competition in October 2020.☆169Updated 3 years ago
- In this work, we will use Force2020 well data to employ Deep Learning for lithology prediction☆17Updated 4 years ago
- Intro to basic subsurface workflows using Google Colab☆18Updated 5 years ago