Saved in:
| Main Author: | |
|---|---|
| Format: | Recurso digital |
| Language: | |
| Published: |
Zenodo
2025
|
| Online Access: | https://doi.org/10.5281/zenodo.14774480 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Table of Contents:
- <div> <p>Seismic and well log data integration is crucial for accurate reservoir characterization in the oil and gas industry. Traditional methods struggle with data consistency and spatial interpolation challenges. This study proposes a sheaf-theoretic approach to model and analyze seismic and well log data using graph-based representations. This method leverages SEG-Y seismic data, well logs, and interpolation techniques to construct a unified topological framework. The results demonstrate improved data consistency, enhanced interpolation accuracy, and a robust framework for integrating multi-scale geological datasets. The code for this study is available as a public repository on GitHub, allowing for transparency and reproducibility. The repository can be accessed at: https://github.com/lordxmen2k/GeoSheaf. </p> </div> <div> <p>Keywords: Sheaf Theory, Seismic Data, Well Logs, Reservoir Characterization, Data Integration, Graph Theory </p> </div>