Technical University of Denmark
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Publications

  • COUNTERINTUITIVE PHYSICAL BEHAVIORS IN COUPLED CONSOLIDATION PROBLEMS
  • FINITE VOLUME STABILIZING SCHEMES FOR UNDRAINED CONDITION IN POROELASTICITY
  • EXCEL® COMO FERRAMENTA DIDÁTICA DE APOIO NA ANÁLISE DE PROCESSOS DE EXTRAÇÃO CONTÍNUA SÓLIDO-LÍQUIDO EM CONTRACORRENTE
  • Analysis of numerical schemes in collocated and staggered grids for problems of poroelasticity
  • On the effects of body forces in one-dimensional consolidation of porous media
  • Discrete fracture and matrix (DFM) modeling of chalk
  • Non-Intrusive Reduced Order Modeling Applied to Fluid Flow in Fractured Porous Media using Neural Networks
  • A midsurface extraction framework applied to core sample images for dimension reduction of fracture objects
  • A framework for upscaling and modelling fluid flow for discrete fractures using conditional generative adversarial networks
  • A Data-Driven Method for Permeability Estimation of Rough Fractures
  • Predicting the CO2 propagation in geological formations from sparsely available well data
  • Continuous conditional generative adversarial networks for data-driven modelling of geologic CO2 storage and plume evolution
  • Predicting Geologic CO2 Storage and Plume Evolution from Sparsely Available Well Data Using Barlow Twins
  • Computed-tomography-based discrete fracture-matrix modeling: An integrated framework for deriving fracture networks
  • Discrete fracture and matrix (DFM) modelling of chalk
  • Anatomy of fractures: Quantifying fracture geometry utilizing X-ray computed tomography in a chalk-marl reservoir; the Lower Cretaceous Valdemar field (Danish Central Graben)
  • Anatomy of fractures: Quantifying fracture geometry utilizing X-ray computed tomography in a chalk-marl reservoir; the Lower Cretaceous Valdemar Field (Danish Central Graben)
  • A Predictive DeepONet Model of CO2 Plume Propagation in Geological Formations Based on Sparse Well Data
  • Predicting geological CO2 plume propagation from sparse well data using DeepONets
  • CT-based discrete fracture-matrix (DFM) modeling of chalk
  • On the tensorial nature of the hydraulic aperture of rough fractures
  • A Deep Learning Model for CO2 Storage in a Depleted Gas Reservoir Using Sparse Well Data
  • On the influence of matrix flow in the hydraulic permeability of rough-walled fractures
  • Towards a Machine Learning Tool for CO2 Plume Tracking
  • Assessing Caprock Integrity through Thermo-Hydro-Mechanical Modeling of CO2 in a Deformable Chalk Depleted Gas Reservoir
  • Tracking CO2 Plume Propagation in a Depleted Gas Field using Sparse Well Data and Seabed Displacement

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