Popular GitHub Repositories for Oil

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

Machine learning framework for reservoir simulation

Deep learning tools for predicting oil well data

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

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

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

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.

Navier-Stokes oil dynamics in a rectangular 3D tank, physics-informed neural network approach

NLP Article Trend Analysis (Oil & Gas)

Forecast oil prices using Lineapy Python

Detect and Segment Oil Spills Using Computer Vision

Fire and Smoke Detection for Oil Industry Safety | YOLOv9

A Python package for production forecasting in oil and gas wells. Includes tools for production data analysis, decline curve analysis, time series forecasting, and industry-standard graphical templates for interpretation.

LLM analysis example for the oil-sentiment repo using Langchain and Groq

Building a Neural Network to predict the weekly gasoline price based on features such as crude oil prices, domestic production, consumption, domestic inflation as CPI, strategic reserves, weekly import and historic gasoline prices

This project implements an oil spill detection system using the DeepLabV3+ model with a ResNet101 backbone for semantic segmentation of aerial imagery. The system includes data preprocessing, model training, evaluation metrics, and a Gradio interface for real-time predictions.