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Conceptualizing future groundwater models through a ternary framework of multisource data, human expertise, and machine intelligence
Groundwater models are essential for understanding aquifer systems behavior and effective
water resources spatio-temporal distributions, yet they are often hindered by challenges …
water resources spatio-temporal distributions, yet they are often hindered by challenges …
Exploring hydrogen geologic storage in China for future energy: Opportunities and challenges
Hydrogen, as a clean and efficient energy source, is important in achieving zero-CO 2
targets. This paper explores the potential of hydrogen geologic storage (HGS) in China for …
targets. This paper explores the potential of hydrogen geologic storage (HGS) in China for …
Subsurface sedimentary structure identification using deep learning: A review
The reliable identification of subsurface sedimentary structures (ie, geologic heterogeneity)
is critical in various earth and environmental sciences, petroleum reservoir engineering, and …
is critical in various earth and environmental sciences, petroleum reservoir engineering, and …
Data‐worth analysis for heterogeneous subsurface structure identification with a stochastic deep learning framework
Reliable characterization of subsurface structures is essential for earth sciences and related
applications. Data assimilation‐based identification frameworks can reasonably estimate …
applications. Data assimilation‐based identification frameworks can reasonably estimate …
Flash-flood hazard using deep learning based on H2O R package and fuzzy-multicriteria decision-making analysis
The present study was done in order to simulate the flash-flood susceptibility across the
Suha river basin in Romania using a number of 3 hybrid models and fuzzy-AHP multicriteria …
Suha river basin in Romania using a number of 3 hybrid models and fuzzy-AHP multicriteria …
Robust runoff prediction with explainable artificial intelligence and meteorological variables from deep learning ensemble model
J Wu, Z Wang, J Dong, X Cui, S Tao… - Water Resources …, 2023 - Wiley Online Library
Accurate runoff forecasting plays a vital role in issuing timely flood warnings. Whereas,
previous research has primarily focused on historical runoff and precipitation variability …
previous research has primarily focused on historical runoff and precipitation variability …
Prediction model of drinking water source quality with potential industrial-agricultural pollution based on CNN-GRU-Attention
P Mei, M Li, Q Zhang, G Li - Journal of Hydrology, 2022 - Elsevier
It is of great significance for the operation and management of waterworks to accurately
predict the raw water quality. In this study, the turbidity and CODcr of raw water with light …
predict the raw water quality. In this study, the turbidity and CODcr of raw water with light …
Seismic velocity inversion transformer
Velocity model inversion is one of the most challenging tasks in seismic exploration, and an
accurate velocity model is essential for high-resolution seismic imaging. Recently, velocity …
accurate velocity model is essential for high-resolution seismic imaging. Recently, velocity …
An integrated inversion framework for heterogeneous aquifer structure identification with single-sample generative adversarial network
Generating reasonable heterogeneous aquifer structures is essential for understanding the
physicochemical processes controlling groundwater flow and solute transport better. The …
physicochemical processes controlling groundwater flow and solute transport better. The …
Simulation of complex geological architectures based on multistage generative adversarial networks integrating with attention mechanism and spectral normalization
X Liu, X Chen, J Cheng, L Zhou… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
The geostatistics stimulation method, as an important tool in subsurface modeling, is crucial
for hydrocarbon reservoir characterization. Using geostatistical methods to reproduce …
for hydrocarbon reservoir characterization. Using geostatistical methods to reproduce …