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Application of reactive transport model in understanding the deterioration and failure behavior of cementitious materials: A review
The ingress of carbon dioxide and aggressive ions into concrete is usually considered as a
non negligible factor that determines its performance and service life. Unfortunately, the …
non negligible factor that determines its performance and service life. Unfortunately, the …
Improving the performance of reactive transport simulations using artificial neural networks
Reactive transport numerical modelling is used to explore chemical interactions between
fluids and solids associated with a broad range of subsurface processes. It is a powerful tool …
fluids and solids associated with a broad range of subsurface processes. It is a powerful tool …
IORSim: A mathematical workflow for field-scale geochemistry simulations in porous media
F Feldmann, O Nødland, J Sagen, B Antonsen… - Transport in Porous …, 2024 - Springer
Reservoir modeling consists of two key components: the reproduction of the historical
performance and the prediction of the future reservoir performance. Industry-standard …
performance and the prediction of the future reservoir performance. Industry-standard …
Machine learning model predicting hydrothermal dolomitisation for future coupling of basin modelling and geochemical simulations
In the energy transition context, basin modelling, initially dedicated to the understanding of
oil and gas systems, can address several challenges that the sustainable energy sector …
oil and gas systems, can address several challenges that the sustainable energy sector …
Validating the Nernst–Planck transport model under reaction-driven flow conditions using RetroPy v1. 0
Reactive transport processes in natural environments often involve many ionic species. The
diffusivities of ionic species vary. Since assigning different diffusivities in the advection …
diffusivities of ionic species vary. Since assigning different diffusivities in the advection …
EURAD state-of-the-art report: development and improvement of numerical methods and tools for modeling coupled processes in the field of nuclear waste disposal
The Strategic Research Agenda (SRA; https://www. ejp-eurad. eu/publications/eurad-sra) of
the European Joint Programme on Radioactive Waste Management (EURAD; https://www …
the European Joint Programme on Radioactive Waste Management (EURAD; https://www …
[HTML][HTML] GeoProp: A thermophysical property modelling framework for single and two-phase geothermal geofluids
The techno-economic evaluation of geothermal resources requires knowledge of the
geofluid's thermophysical properties. While the properties of pure water and some specific …
geofluid's thermophysical properties. While the properties of pure water and some specific …
Geochemistry and machine learning: methods and benchmarking
Thanks to the recent progress in numerical methods and computer technology, the
application fields of artificial intelligence (AI) and machine learning methods (ML) are …
application fields of artificial intelligence (AI) and machine learning methods (ML) are …
A data-driven approach for estimating functions in a multivariate nonparametric regression model based on B-splines with an application to geoscience
ME Savino, C Lévy-Leduc - Applied Mathematical Modelling, 2025 - Elsevier
In this paper, we will outline a novel data-driven method for estimating functions in a
multivariate nonparametric regression model based on an adaptive knot selection for B …
multivariate nonparametric regression model based on an adaptive knot selection for B …
A discrete fracture matrix framework for simulating single-phase flow and non-isothermal reactive transport
Simulating reactive transport in fractured porous media is computationally demanding since
it requires solving physical and chemical processes that non-linearly affect each other. At the …
it requires solving physical and chemical processes that non-linearly affect each other. At the …