تقرير
Encoding the Subsurface in 3D with Seismic
| العنوان: | Encoding the Subsurface in 3D with Seismic |
|---|---|
| المؤلفون: | Lasscock, Ben, Sansal, Altay, Valenciano, Alejandro |
| سنة النشر: | 2024 |
| المجموعة: | Physics (Other) |
| مصطلحات موضوعية: | Physics - Geophysics |
| الوصف: | This article presents a self-supervised generative AI approach to seismic data processing and interpretation using a Masked AutoEncoder (MAE) with a Vision Transformer (ViT) backbone. We modified the MAE-ViT architecture to process 3D seismic mini-cubes to analyze post-stack seismic data. The MAE model can semantically categorize seismic features, demonstrated through t-SNE visualization, much like large language models (LLMs) understand text. After we fine-tune the model, its ability to interpolate seismic volumes in 3D showcases a downstream application. The study's use of an open-source dataset from the "Onward - Patch the Planet" competition ensures transparency and reproducibility of the results. The findings are significant as they represent a step towards utilizing state-of-the-art technology for seismic processing and interpretation tasks. Comment: 4 pages, 6 figures |
| نوع الوثيقة: | Working Paper |
| URL الوصول: | http://arxiv.org/abs/2403.13593 |
| رقم الأكسشن: | edsarx.2403.13593 |
| قاعدة البيانات: | arXiv |
| الوصف غير متاح. |