Application of reactive transport model in understanding the deterioration and failure behavior of cementitious materials: A review

K Li, P Wang, J Su, C Shi - Construction and Building Materials, 2024 - Elsevier
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 …

Improving the performance of reactive transport simulations using artificial neural networks

E Demirer, E Coene, A Iraola, A Nardi, E Abarca… - Transport in Porous …, 2023 - Springer
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 …

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 …

Machine learning model predicting hydrothermal dolomitisation for future coupling of basin modelling and geochemical simulations

N Collard, T Faney, PA Teboul, P Bachaud… - Chemical …, 2023 - Elsevier
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 …

Validating the Nernst–Planck transport model under reaction-driven flow conditions using RetroPy v1. 0

PW Huang, B Flemisch, CZ Qin… - Geoscientific Model …, 2023 - gmd.copernicus.org
Reactive transport processes in natural environments often involve many ionic species. The
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

F Claret, NI Prasianakis, A Baksay, D Lukin… - Frontiers in Nuclear …, 2024 - frontiersin.org
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 …

[HTML][HTML] GeoProp: A thermophysical property modelling framework for single and two-phase geothermal geofluids

T Merbecks, AMM Leal, P Bombarda, P Silva, D Alfani… - Geothermics, 2025 - Elsevier
The techno-economic evaluation of geothermal resources requires knowledge of the
geofluid's thermophysical properties. While the properties of pure water and some specific …

Geochemistry and machine learning: methods and benchmarking

NI Prasianakis, E Laloy, D Jacques… - Environmental Earth …, 2025 - Springer
Thanks to the recent progress in numerical methods and computer technology, the
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 …

A discrete fracture matrix framework for simulating single-phase flow and non-isothermal reactive transport

SI Banshoya, I Berre, E Keilegavlen - Computational Geosciences, 2024 - Springer
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 …