Popular GitHub Repositories for Oil Gas

Promotes development of ML algorithms for early detection and classification of undesirable events in offshore oil wells.

Framework for correlating two or more well logs using feature vectors generated from CNN's in Pytorch

Universal modeling and simulation of fluid mechanics upon machine learning. From the Boltzmann equation, heading towards multiscale and multiphysics flows.

Machine learning framework for reservoir simulation

2025-trading-automation-scripts

Deep learning tools for predicting oil well data

An Ensemble DL Model Tuned with Genetic Algorithm for Oil Production Forecasting.

This is a Google Apps Script library for Gemini API with files.

[MM 2023] Stroke-based Neural Painting and Stylization with Dynamically Predicted Painting Region

A data-driven tool to predict the reaction order of homogeneous gas-phase reactions. Includes machine learning experiments on the NIST Chemical Kinetics Database.

AI-driven concentrated-liquidity market making on Ethereum: smart range selection, gas-aware rebalances, fee forecasting, and MEV-aware repositioning.

An MCP (Model Context Protocol) server that provides Ethereum blockchain data tools via Etherscan's API. Features include checking ETH balances, viewing transaction history, tracking ERC20 transfers, fetching contract ABIs, monitoring gas prices, and resolving ENS names.

This is a library for implementing an Agent2Agent (A2A) server using Google Apps Script. This enables AI agent communication and secure service access for AI-powered workflows.

Open-domain Event Extraction and Embedding for Natural Gas Market Prediction

Drift Detection in Gas Sensor Array at Different Concentration Levels ☢️

Official implementation of "MambaPainter: Neural Stroke-Based Rendering in a Single Step."

?️ Advanced anomaly detection system for Petrobras offshore wells using statistical control charts and machine learning on the 3W dataset. PIBIC Graduate Research 2025-2026 at CER-UFBA.

Machine Learning to predict share prices in the Oil & Gas Industry. In a nutshell, this is a quick introduction to understand the potential of data science and machine learning used in the oil industry. I have chosen to work with the stock price of a few oil companies (or oil service company) and the oil price data set as an example.

This demonstration showcases an AI assistant designed for gas station pricing analysts.

3DGAN для генерации металло-органических каркасов со свойствами адсорбции газов. 3DGAN for the generation of metal-organic frameworks with gas adsorption properties.