.png){kind=icon}
Return
AI-based geological subsurface reconstruction using sparse convolutional autoencoders
.png){kind=icon}
PRE
AI
DOI：10.1016/j.cageo.2025.105981.png)
.png){kind=icon}
Original request for help.png){kind=icon}
Share.png){kind=icon}
Save
Abstract
En 中文
• Novel AI method reconstructs subsurface properties with geophysical integration. • AI model reproduces conventional techniques using minimal training data. • Method outperformed conventional estimation in complex geological settings. • The new method enabled the identification of previously unknown subsurface features.
Journal
C
IF:
4.4
Papers:
5.0K
Citations:
1.5W
Organization
No organization information available
Cited Papers
ShareSavefVDB: A Deep-Learning Framework for Sparse, Large-Scale, and High-Performance Spatial Intelligence
OAAI
OAAIShareSaveProbabilistic petrophysical-properties estimation integrating statistical rock physics with seismic inversion.png)
GEOPHYSICS
GEOPHYSICSIF3.2
PREAI
ShareSaveShareSave
View more