（1）水文地球物理
侧重高密度电阻率、激发极化、自然电位等在水文地质领域的应用与分析
（2）裂隙渗流模拟
综合机器学习、数据同化等技术，开展裂隙水文地质参数反演、多场耦合作用下裂隙渗流和反应性溶质运移模拟
(3)裂隙渗流控制
利用水文地球物理技术，开展裂隙介质微生物矿化封堵研究
- Quantitative Evaluation of the Remediation Process in Engineering Rock Fractures:Transportation Infrastructure Geotechnology,2025,12
- Three-dimensional discrete fracture network identification based on deep learnin:International Journal of Rock Mechanics and Mining Sciences,2025,197
- Deep learning-based inversion framework for fractured media characterization by :Engineering Geology,2025,350
- Experimental investigation of thawing behavior of saline soils using resistivity.[J:Journal of Geophysics and Engineering,2024,21(3):854-867.
- 陈赐海，邓亚平，Deep learning-based inversion framework by assimilating hydrogeological and geop.[J:Energy,2024,320
- 基于深度学习融合多源数据的增强型地热长期性能预测系统V1.02024SR016744,2024/01/25
- 基于DS-ESMDA融合水文地球物理数据的裂隙网络识别系统V1.02023SR1413352,2023/11/09
- 裂隙非线性渗流参数的特征长度判别方法与装置发明,CN202211013418.7,2022/08/23
- 一种基于高密度电法的基岩裂隙优势通道的探测方法发明,CN202110337624.2,2021/03/30
暂无内容