- Home
- Companies
- Earth Science Analytics (ESA)
- Software
- Ai Seismic Interpretation
Interpretation of faults from seismic data can be accelerated with more than 10 x by leveraging pre-trained AI models. Since the AI models utilise all the data, it also improves the quality of the interpretation compared to traditional methods.
In EarthNET, you can do your fault interpretation using one-click pre-trained models, including 2DCNN models trained on expert interpretation and 3DCNN models trained on synthetic data. The 2DCNN models are interactive and you can iteratively improve their quality on your local dataset. The direct output from the AI model is a fault probability volume. From this volume, EarthNET can automatically extract fault sticks and surfaces.
Leverage EarthNET's AI models to accelerate horizon interpretation from seismic data.
Our horizon interpretation feature is interactive, allowing you to iteratively improve the model's quality with your local dataset. The direct output from the AI model is a horizon probability volume. From this volume, EarthNET can automatically extract horizons and surfaces.
Speed up the interpretation of geobodies from seismic data using EarthNET's AI models.
The geobodies interpretation is interactive, meaning you can iteratively improve the model quality on your local dataset. The direct output from the AI model is a geobody probability volume. From this volume, EarthNET can automatically extract a 3D mesh describing the location of the geobodies.
