Geraldine-Winston / Petroleum-Reservoir-Property-Prediction-using-LSTM-networks-on-well-log-data.Links
This project uses LSTM networks to predict reservoir properties like porosity from sequential well log data, enabling improved reservoir characterization and aiding petroleum engineers in making better exploration and production decisions.
☆26Updated 7 months ago
Alternatives and similar repositories for Petroleum-Reservoir-Property-Prediction-using-LSTM-networks-on-well-log-data.
Users that are interested in Petroleum-Reservoir-Property-Prediction-using-LSTM-networks-on-well-log-data. are comparing it to the libraries listed below
Sorting:
- A WhatsApp bot designed to provide Nigerian farmers with real-time agricultural information including weather forecasts, crop prices, pe…☆23Updated 7 months ago
- ☆23Updated 7 months ago
- ☆23Updated 7 months ago
- ☆23Updated 7 months ago
- This project uses Recurrent Neural Networks (RNNs) to model and predict coastal shoreline changes over time. By training on historical sa…☆27Updated 7 months ago
- ☆24Updated 9 months ago
- ☆23Updated 7 months ago
- Geraldine-Winston / Prediction-of-Vector-Borne-Disease-Spread-e.g.-Malaria-under-climate-scenarios-using-ML.☆22Updated 7 months ago
- ☆22Updated 7 months ago
- Scrape Twitter data using Tweepy, preprocess using NLTK or spaCy, and apply sentiment classification using a pretrained transformer (e.g.…