[HTML][HTML] Advancing measurements and representations of subsurface heterogeneity and dynamic processes: towards 4D hydrogeology

T Hermans, P Goderniaux, D Jougnot… - Hydrology and Earth …, 2023 - hess.copernicus.org
Essentially all hydrogeological processes are strongly influenced by the subsurface spatial
heterogeneity and the temporal variation of environmental conditions, hydraulic properties …

[图书][B] Hydrogeology: groundwater science and engineering

A Dassargues - 2018 - taylorfrancis.com
This text combines the science and engineering of hydrogeology in an accessible,
innovative style. As well as providing physical descriptions and characterisations of …

Uncertainty quantification of medium‐term heat storage from short‐term geophysical experiments using Bayesian evidential learning

T Hermans, F Nguyen, M Klepikova… - Water Resources …, 2018 - Wiley Online Library
In theory, aquifer thermal energy storage (ATES) systems can recover in winter the heat
stored in the aquifer during summer to increase the energy efficiency of the system. In …

Geophysics as a hypothesis‐testing tool for critical zone hydrogeology

M Dumont, K Singha - Wiley Interdisciplinary Reviews: Water, 2024 - Wiley Online Library
Geophysical methods have long been used in earth and environmental science for the
characterization of subsurface properties. While imaging the subsurface opens the “black …

A Monte Carlo-based framework for assessing the value of information and development risk in geothermal exploration

ND Athens, JK Caers - Applied Energy, 2019 - Elsevier
The exploration and development of geothermal energy resources carries considerable
financial risk. Due to the cost of drilling, there is often large uncertainty in the prediction of …

Modeling Water Flow and Solute Transport in Unsaturated Soils Using Physics‐Informed Neural Networks Trained With Geoelectrical Data

P Haruzi, Z Moreno - Water Resources Research, 2023 - Wiley Online Library
Accurate modeling of water flow and solute transport in unsaturated soils is of significant
importance for precision agriculture, environmental protection and aquifer management …

Automated Monte Carlo-based quantification and updating of geological uncertainty with borehole data (AutoBEL v1. 0)

Z Yin, S Strebelle, J Caers - Geoscientific Model Development, 2020 - gmd.copernicus.org
Geological uncertainty quantification is critical to subsurface modeling and prediction, such
as groundwater, oil or gas, and geothermal resources, and needs to be continuously …

Comparing well and geophysical data for temperature monitoring within a Bayesian experimental design framework

R Thibaut, N Compaire, N Lesparre… - Water Resources …, 2022 - Wiley Online Library
Temperature logs are an important tool in the geothermal industry. Temperature
measurements from boreholes are used for exploration, system design, and monitoring. The …

Integrated hydrogeophysical modelling and data assimilation for geoelectrical leak detection

CHM Tso, TC Johnson, X Song, X Chen… - Journal of Contaminant …, 2020 - Elsevier
Time-lapse electrical resistivity tomography (ERT) measurements provide
indirectobservations of hydrological processes in the Earth's shallow subsurface at high …

A new framework for experimental design using Bayesian Evidential Learning: The case of wellhead protection area

R Thibaut, E Laloy, T Hermans - Journal of Hydrology, 2021 - Elsevier
Groundwater management practices, such as sustainable drinking water extraction or
contamination protection, can have significant socioeconomic impacts. A complete …