Ensemble learning for predicting average thermal extraction load of a hydrothermal geothermal field: A case study in Guanzhong Basin, China
Accurate prediction of the average thermal extraction load (ATEL) in hydrothermal heating
systems optimizes energy recovery, though numerical models are constrained by modeling …
systems optimizes energy recovery, though numerical models are constrained by modeling …
Assessing the role of local versus regional fluid circulation in the pre-salt sag section of Santos Basin (Brazil): Insights from reactive transport modeling
AMA Carvalho, N Collard, Y Hamon… - Marine and Petroleum …, 2024 - Elsevier
In lacustrine carbonate deposits, the superimposed sedimentary and diagenetic
heterogeneities are highly dependent on environmental conditions, water chemistry, and …
heterogeneities are highly dependent on environmental conditions, water chemistry, and …
Statistical learning methods for nonlinear geochemical problems
ME Savino - 2024 - theses.hal.science
In this thesis, we propose two function estimation methods and a variable selection method
in a multivariate nonparametric model as part of numerical simulations of geochemical …
in a multivariate nonparametric model as part of numerical simulations of geochemical …