Skip to content
Universidad del Mar SIBUMAR Descubridor Institucional UMAR
  • Inicio
  • Búsqueda avanzada
  • Explorar
  • Login
    • English
    • Deutsch
    • Español
    • Français
    • Italiano
Advanced
  • A Machine-Learned Near-Well Model in OPM Flow
Cover Image

A Machine-Learned Near-Well Model in OPM Flow

Fuente: arXiv
Saved in:
Bibliographic Details
Main Authors: von Schultzendorff, Peter, Sandve, Tor Harald, Kane, Birane, Landa-Marbán, David, Both, Jakub Wiktor, Nordbotten, Jan Martin
Format: Preprint
Published: 2026
Subjects:
Numerical Analysis
65M25, 86-10
Online Access:
Acceder al recurso
Tags: Add Tag
No Tags, Be the first to tag this record!
  • Cite this
  • Text this
  • Email this
  • Print
  • Export Record
    • Export to RefWorks
    • Export to EndNoteWeb
    • Export to EndNote
  • Save to List
  • Permanent link
  • Holdings
  • Description
  • Comments
  • Similar Items
  • Staff View

Internet

https://arxiv.org/abs/2601.11193

Similar Items

  • Efficient design of continuation methods for hyperbolic transport problems in porous media
    by: von Schultzendorff, Peter, et al.
    Published: (2026)
  • Solving Biot poroelasticity by coupling OPM Flow with the two-point stress approximation finite volume method
    by: Boon, Wietse M., et al.
    Published: (2025)
  • Performance of an open-source image-based history matching framework for CO$_2$ storage
    by: Landa-Marbán, David, et al.
    Published: (2025)
  • Fast algorithms for optimal control, anisotropic front propagation and multiple arrivals
    by: Sethian, J. A.
    Published: (2003)
  • Semi-Lagrangian methods for a plasma hybrid model with multi-species kinetic ions and massless electrons
    by: Li, Yingzhe, et al.
    Published: (2025)
Universidad del Mar
Universidad del MarSistema Bibliotecario de la Universidad del MarDescubridor Institucional UMARImplementación y desarrollo: Mtro. Carlos Alonso Albores Pérez
InicioBúsqueda avanzadaExplorar
Visitas al Descubridor: 33,245© 2026 Universidad del Mar