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 …
measurements from boreholes are used for exploration, system design, and monitoring. The …
Generative broad Bayesian (GBB) imputer for missing data imputation with uncertainty quantification
Generative broad Bayesian (GBB) imputer, a novel nonparametric data-driven tool for
missing data imputation with uncertainty quantification, is proposed. The proposed imputer …
missing data imputation with uncertainty quantification, is proposed. The proposed imputer …
Extending GLUE with multilevel methods to accelerate statistical inversion of hydrological models
Inverse problems aim at determining model parameters that produce observed data to
subsequently understand, predict or manage hydrological or other environmental systems …
subsequently understand, predict or manage hydrological or other environmental systems …
Data assimilation for real-time subsurface flow modeling with dynamically adaptive meshless node adjustments
Over the past few decades, various inverse modeling and data assimilation techniques have
been proposed to integrate observed data into subsurface flow models for optimal …
been proposed to integrate observed data into subsurface flow models for optimal …
[PDF][PDF] Machine Learning for Bayesian Experimental Design in the Subsurface
R Thibaut - Authorea Preprints, 2023 - authorea.com
Accurate modeling of the subsurface, a complex and heterogeneous environment that plays
a crucial role in the Earth's water cycle, is challenging due to sparse and incomplete data …
a crucial role in the Earth's water cycle, is challenging due to sparse and incomplete data …