The final project at university using machine learning and deep learning to predict oil and gas production
☆29Feb 6, 2023Updated 3 years ago
Alternatives and similar repositories for petroleum-production-prediction
Users that are interested in petroleum-production-prediction are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Python programming applied to petroleum engineering☆27Jun 3, 2024Updated last year
- A series of scripts and notebooks that describe how to clean and process the oil and gas production data provided by the Oklahoma Corpora…☆15Sep 23, 2016Updated 9 years ago
- Philliec459 / Altair-used-to-Visualize-and-Interrogate-well-by-well-Production-Data-from-Volve-FieldThe objective of this project is to interactively interrogate oil field production data using Altair☆15Sep 4, 2024Updated last year
- 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 6 years ago
- This repository has all my projects on Oil and Gas (and Non Oil & Gas) Machine Learning Topics☆47Nov 20, 2021Updated 4 years ago
- GPUs on demand by Runpod - Special Offer Available • AdRun AI, ML, and HPC workloads on powerful cloud GPUs—without limits or wasted spend. Deploy GPUs in under a minute and pay by the second.
- Petroleum Engineering and Geosciences exercises in Python☆79Mar 11, 2021Updated 5 years ago
- This Python script uses webscraped Bakken data to generate automated exponential and hyperbolic decline curves for production forecasting…☆43Jul 3, 2019Updated 6 years ago
- Python and R notebooks accompanying a talk at the 2018 CSEG / CSPG Geoconvention in Calgary - and a lot MORE!☆30Mar 22, 2026Updated 3 weeks ago
- Oil and Gas Well Productivity Analysis☆19Aug 22, 2019Updated 6 years ago
- Predicting oil production from horizontal wells using Bayesian hierarchical linear-regression☆34Nov 17, 2016Updated 9 years ago
- Drilling Activity Prediction: Oil and Gas operations are dramatically affected by supply, demand and several other factors that compromis…☆11Aug 13, 2025Updated 8 months ago
- In this work, we will use Force2020 well data to employ Deep Learning for lithology prediction☆17Apr 22, 2021Updated 4 years ago
- ☆37Jul 25, 2022Updated 3 years ago
- Oil and Gas Conversion☆18Nov 22, 2021Updated 4 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.
- Exploratory Data Analysis for the Lithology prediction part of the 2020 FORCE Machine Learning Contest☆16Sep 15, 2020Updated 5 years ago
- Absolute beginner course on computer vision with Python, OpenCV, Tensorflow Keras, and PyTorch☆10Mar 18, 2023Updated 3 years ago
- Corel is a smart computer vision model that identifies facies and performs rock typing on core images☆13Oct 2, 2024Updated last year
- Deep learning tools for predicting oil well data☆101Sep 29, 2021Updated 4 years ago
- Geothermal drilling R.O.P using machine learning and deep learning☆13Mar 30, 2021Updated 5 years ago
- Petroleum Data Collector☆55May 23, 2021Updated 4 years ago
- Models of Oil and Gas Industry in Python☆30Apr 2, 2021Updated 5 years ago
- 3D Graphical Output of well producers and injectors in oil reservoir.☆18Jul 24, 2020Updated 5 years ago
- Source Code for 'Machine Learning in the Oil and Gas Industry' by Yogendra Narayan Pandey, Ayush Rastogi, Sribharath Kainkaryam, Srimoyee…☆126Nov 3, 2020Updated 5 years ago
- Wordpress hosting with auto-scaling - Free Trial • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- This is an example of creating labeled images to be used in Keras image-segmentation training☆12Nov 10, 2021Updated 4 years ago
- Predict oil production over time☆11Jan 19, 2023Updated 3 years ago
- seismic data processing, user interface, normal move out correction, stacking, de-noising, visualization☆11Apr 23, 2014Updated 11 years ago
- Use Random Forests (RF) to predict subsurface reservoir parameters (e.g. porosity, permeability) and lithology from seismic data.☆12Aug 17, 2022Updated 3 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 5 years ago
- Scrape and visualize a nationwide database of oil and gas wells.☆16Jun 29, 2021Updated 4 years ago
- Using geophysical well logs to predict lithology☆16Apr 3, 2021Updated 5 years ago
- Exploration of machine learning in geoscience use cases☆86May 9, 2024Updated last year
- Rock facies classification with xgboost and physics-motivated feature augmentation☆15Feb 20, 2019Updated 7 years ago
- AI Agents on DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- Data and Machine Learning Curriculum for Oil, Gas, and Mining☆23Apr 22, 2021Updated 4 years ago
- Shaley-Sand Log Analysis Tutorial using Waxman-Smits and Dual-Water☆15Apr 5, 2022Updated 4 years ago
- Automate hyper-parameters tuning for NNs (learning rate, number of dense layers and nodes and activation function)☆14Aug 9, 2020Updated 5 years ago
- Time series forecasting (TSF) is the task of predicting future values of a given sequence using historical data. Recently, this task has …☆35Mar 24, 2019Updated 7 years ago
- This project attempts to construct a missing well log from other available well logs, more specifically an NMR well log from the measured…☆36Sep 21, 2020Updated 5 years ago
- Calculate permeability, Porosity, Pore Size distributions, Capillary Pressure, Formation Factor and Visualizations☆13Feb 8, 2023Updated 3 years ago
- Oil Data Analytics☆12Feb 3, 2021Updated 5 years ago