Characterizing Subsurface Structures From Hard and Soft Data With Multiple‐Condition Fusion Neural Network

• Published in: Water resources research Vol. 60; no. 11
• Main Authors: Cui, Zhesi, Chen, Qiyu, Luo, Jian, Ma, Xiaogang, Liu, Gang
• Format: Journal Article
• Language: English
• Published: Washington John Wiley & Sons, Inc 01.11.2024; Wiley
• Subjects: deep learning; Geology; geophysics; hydrogeological modeling; Hydrogeology; multiple data fusion; Neural networks; Observational learning; Parameterization; Remote sensing; Structures; subsurface characterization; water

Accurately inferring realistic subsurface structures poses a considerable challenge due to the impact of morphology on flow and transport behaviors. Traditional subsurface characterization relies on two primary types of data: hard data, derived from direct subsurface measurements, and soft data, enc...