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Pore scale applications of Phase-field Lattice Boltzmann Methods for underground CH$_4$, H$_2$ and CO$_2$ storage

Raeli, Alice ; Salina Borello, Eloisa; Serazio, Cristina; Czelusniak, Luiz Eduardo 1; Bingert, Tim Niklas 1; Krause, Mathias J. 1; Viberti, Dario
1 Institut für Angewandte und Numerische Mathematik (IANM), Karlsruher Institut für Technologie (KIT)

Abstract:

The design of sustainable large-scale underground energy storage systems relies on accurate reservoir dynamic modelling. Key macroscopic parameters, such as critical saturations, capillary pressure, and relative permeabilities, are strongly influenced by pore-scale multiphase flow phenomena and trapping mechanisms. The analysis of multiphase flow behavior at the pore scale can therefore improve reservoir characterization and support engineering applications, including underground storage of natural gas (UGS), hydrogen (UHS), and carbon dioxide.
This study investigates numerical modelling of imbibition and drainage processes, representative of withdrawal and injection scenarios, using the Lattice Boltzmann Method (LBM). Owing to its inherent parallel structure and flexibility in handling complex geometries, LBM provides an efficient framework for simulating
multiphase flow in porous media. However, previous studies have often applied LBM to simplified porous geometries or relied on boundary conditions that were not designed to handle phase transitions at the outflow boundary in evolving multiphase systems. In this work, the open-source parallel library OpenLB is tailored and adapted to simulate two-phase flows governed by the Allen–Cahn equation in two-dimensional porous domains. ... mehr


Verlagsausgabe §
DOI: 10.5445/IR/1000192272
Veröffentlicht am 23.04.2026
Originalveröffentlichung
DOI: 10.1016/j.est.2026.121868
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Angewandte und Numerische Mathematik (IANM)
Publikationstyp Zeitschriftenaufsatz
Publikationsmonat/-jahr 06.2026
Sprache Englisch
Identifikator ISSN: 2352-152X, 2352-1538
KITopen-ID: 1000192272
Erschienen in Journal of Energy Storage
Verlag Elsevier
Band 161
Seiten Art.-Nr.: 121868
Vorab online veröffentlicht am 03.04.2026
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