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
☆114Updated 4 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:
- This repository has all my projects on Oil and Gas (and Non Oil & Gas) Machine Learning Topics☆42Updated 3 years ago
- ☆177Updated 2 years ago
- Models of Oil and Gas Industry in Python☆27Updated 4 years ago
- Open Source library for Reservoir Engineering Material Balance☆30Updated last year
- Petroleum Engineering and Geosciences exercises in Python☆72Updated 4 years ago
- Python worked examples and problems from Reservoir Engineering textbooks (Brian Towler SPE Textbook Vol. 8, etc.)☆186Updated 4 years ago
- Petroleum Data Collector☆51Updated 4 years ago
- Exploration of machine learning in geoscience use cases☆76Updated last year
- This Python script uses webscraped Bakken data to generate automated exponential and hyperbolic decline curves for production forecasting…☆40Updated 5 years ago
- Python source codes and notebooks from my courses I've given to SPEs and in Marietta College, Ohio, US☆80Updated last year
- Oil and Gas Conversion☆16Updated 3 years ago
- Basic Well Log Interpretation with python, pandas, matplotlib☆12Updated 9 years ago
- The final project at university using machine learning and deep learning to predict oil and gas production☆26Updated 2 years ago
- Reservoir simulator in Python language☆84Updated 4 years ago
- Open source petroleum engineering projects, useful scripts, functions, and jupyter notebooks☆20Updated 4 years ago
- ☆34Updated 3 years ago
- Python utilities for reservoir engineering calculations☆153Updated last year
- Python utility for formation evaluation and petrophysical analysis support☆42Updated 7 months ago
- ☆94Updated 2 years ago
- 3D Graphical Output of well producers and injectors in oil reservoir.☆18Updated 4 years ago
- Freely-available public oil & gas data☆18Updated 11 years ago
- A DCA (Decline Curve Analysis) Tool for Petroleum Engineers.☆15Updated 6 years ago
- the results, code and the data for the Force 2020 Machine learning competition after the completion of the competition in October 2020.☆153Updated 2 years ago
- Predict Petrophysical Rock Types (PRT) using KNN☆11Updated 3 years ago
- ☆34Updated 2 years ago
- ☆30Updated 6 months ago
- Python and R notebooks accompanying a talk at the 2018 CSEG / CSPG Geoconvention in Calgary - and a lot MORE!☆29Updated 4 years ago
- Load cases for tubulars☆12Updated 2 years ago
- ☆12Updated 5 years ago
- In this work, we will use Force2020 well data to employ Deep Learning for lithology prediction☆14Updated 4 years ago