Time series forecasting (TSF) is the task of predicting future values of a given sequence using historical data. Recently, this task has attracted the attention of researchers in the area of machine learning to address the limitations of traditional forecasting methods, which are time-consuming and full of complexity. With the increasing availab…
☆34Mar 24, 2019Updated 7 years ago
Alternatives and similar repositories for Machine-Learning-TSF-Petroleum-Production
Users that are interested in Machine-Learning-TSF-Petroleum-Production are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- 3D Graphical Output of well producers and injectors in oil reservoir.☆18Jul 24, 2020Updated 6 years ago
- Open source petroleum engineering projects, useful scripts, functions, and jupyter notebooks☆21Nov 17, 2020Updated 5 years ago
- Calculate a Chart Book type of Neutron Density log analysis Porosity using Python's KNN☆18Nov 10, 2021Updated 4 years ago
- A "simple" decline-curve analysis example in Python☆17May 20, 2020Updated 6 years ago
- Machine Learning Modeling of NMR-Derived T2 Porosity using Quad Combo, Wolfcamp and Spraberry Formations, Reagan County Texas☆12Aug 13, 2020Updated 6 years ago
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- ☆22Aug 1, 2019Updated 7 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…☆13Jan 4, 2020Updated 6 years ago
- Upload well LAS (log ASCII) files and view the raw logs interactively in streamlit☆12Jul 6, 2024Updated 2 years ago
- Python utility for formation evaluation and petrophysical analysis support☆46Nov 29, 2025Updated 11 months ago
- Python Automatic Decline Curve Analysis (DCA) For Petroleum Producing wells☆25May 10, 2022Updated 4 years ago
- Library of petrophysical calculations☆17Jul 1, 2020Updated 6 years ago
- Implementation of Linear Quadratic Regulator (LQR), Minimum Principle and Model Predictive Control(MPC) to stirred tank mixing process☆17Dec 20, 2023Updated 2 years ago
- Eurostat, OECD Download Tool with Stata and Excel Export Support☆11Feb 5, 2016Updated 10 years ago
- FlowNet - Data-Driven Reservoir Predictions☆78Dec 22, 2022Updated 3 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- The toolbox for the oil fields modelling and analysis (oil forecasting, seismic slices classification, etc)☆22Jun 15, 2022Updated 4 years ago
- Develop the time series recurrent neural network algorithms using LSTM and ARIMA in order 1) to forecast oil production of existing wells…☆12Apr 22, 2020Updated 6 years ago
- Python programming applied to petroleum engineering☆30Jun 3, 2024Updated 2 years ago
- Shale gas simulation environment☆45Nov 13, 2021Updated 4 years ago
- ☆25Jan 24, 2024Updated 2 years ago
- Freely-available public oil & gas data☆19Apr 2, 2014Updated 12 years ago
- OECD data mining using pandasdmx and pandas☆11May 10, 2020Updated 6 years ago
- ☆12Sep 7, 2024Updated 2 years ago
- We are using Altair to Select Samples from a Poro-Perm Cross Plot and the respective Pc Curves or other data are then shown for the selec…☆13Apr 5, 2022Updated 4 years ago
- End-to-end encrypted cloud storage - Proton Drive • AdSpecial offer: 40% Off Yearly / 80% Off First Month. Protect your most important files, photos, and documents from prying eyes.
- SeedLink server protocol basic implementation in pure Go.☆10Oct 17, 2026Updated last week
- An ObsPy library for event detection and seismic attribute calculation: preparing waveforms for automated analysis☆12Jan 17, 2023Updated 3 years ago
- The final project at university using machine learning and deep learning to predict oil and gas production☆32Feb 6, 2023Updated 3 years ago
- The research project is a better approach for forecasting the production rate of an oil and gas well. The performance is way beyond the t…☆12Sep 26, 2019Updated 7 years ago
- Streamlit app covering our open source projects. Try it here: https://lnkd.in/g2Yr5B9☆10Nov 3, 2021Updated 4 years ago
- Prediction of Soybean stock prices using LSTM with data from CBOT Soybean Futures + (2015 USA Weather Avg, Max, Min by USDA-NASS-soybeans…☆19Dec 12, 2020Updated 5 years ago
- Discounted cash flow analysis for oil and gas☆11Oct 14, 2025Updated last year
- Predicting WTI index using LSTM 2021/06/31☆10Oct 4, 2023Updated 3 years ago
- Use of Sklearn to predict Petrophysical Rock Types (PRT) in an Arab D carbonate based on Clerke's Rosetta Stone Calibration data☆10Nov 10, 2021Updated 4 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- This is one of Petrobras' open repositories on GitHub. It contains the WPRAutoencoders project which encompasses a wellbore pressure resp…☆49Dec 21, 2022Updated 3 years ago
- This repository is dedicated to the machine learning analysis on StockX prices. Blog 👉☆18Apr 14, 2020Updated 6 years ago
- Oil Data Analytics☆12Feb 3, 2021Updated 5 years ago
- Battey Management System☆10Dec 14, 2014Updated 11 years ago
- use lstm to predict value and label based on keras基于keras框架，用lstm解决回归和分类问题☆18May 15, 2020Updated 6 years ago
- Predict Petrophysical Rock Types (PRT) using KNN☆13Nov 10, 2021Updated 4 years ago
- Reading and eventually writing DLIS/LAS/LIS/SEGY files in golang. Very much work in progress.... at the alpha level☆13Dec 14, 2018Updated 7 years ago