Characterizing subsurface structures from hard and soft data with multiple-condition fusion neural network

Qiyu Chen; Zhesi Cui

doi:https://doi.org/10.5194/egusphere-egu24-15426

[Back] [Session GI2.4]

EGU24-15426, updated on 09 Mar 2024

https://doi.org/10.5194/egusphere-egu24-15426

EGU General Assembly 2024

© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.

Characterizing subsurface structures from hard and soft data with multiple-condition fusion neural network

Qiyu Chen^1,2,3 and Zhesi Cui^1,3

Qiyu Chen and Zhesi Cui

¹School of Computer Science, China University of Geosciences, Wuhan 430074, China (chenqiyu403@163.com)
²State key Laboratory of Biogeology and Environmental Geology, China University of Geosciences, Wuhan 430074, China
³Hubei Key Laboratory of Intelligent Geo-Information Processing, China University of Geosciences, Wuhan 430074, China

How to cite: Chen, Q. and Cui, Z.: Characterizing subsurface structures from hard and soft data with multiple-condition fusion neural network, EGU General Assembly 2024, Vienna, Austria, 14–19 Apr 2024, EGU24-15426, https://doi.org/10.5194/egusphere-egu24-15426, 2024.

This abstract has been withdrawn on 14 May 2024.