Elsevier eBooks, Journal Year: 2024, Volume and Issue: unknown
Published: Jan. 1, 2024
Language: Английский
Elsevier eBooks, Journal Year: 2024, Volume and Issue: unknown
Published: Jan. 1, 2024
Language: Английский
Petroleum Science, Journal Year: 2024, Volume and Issue: unknown
Published: Sept. 1, 2024
Amidst the rapid development of renewable energy, intermittency and instability energy supply pose severe challenges impose higher requirements on storage systems. Among various technologies, coupled approach power-to-hydrogen (H2) underground H2 (UHS) offers advantages such as extended duration large-scale capacity, making it highly promising for future development. However, during UHS, particularly in porous media, microbial metabolic processes methanogenesis, acetogenesis, sulfate reduction may lead to consumption production byproducts. These activities can impact efficiency safety UHS both positively negatively. Therefore, this paper provides a comprehensive review experimental, numerical, field studies interactions within aiming capture research progress elucidate effects. It begins by outlining primary types key involved. Subsequently, introduces experimental approaches investigating gas-water-rock-microbe interfacial properties, models simulators used numerical studies, procedures implemented trials. Furthermore, analyzes discusses their positive negative impacts focusing aspects consumption, flow, safety. Based these insights, recommendations site selection, engineering operations, on-site monitoring well potential directions, are provided.
Language: Английский
Citations
4Energies, Journal Year: 2024, Volume and Issue: 17(23), P. 6094 - 6094
Published: Dec. 3, 2024
This paper presents an in-depth investigation of the biogeochemical modeling approaches applied to underground hydrogen storage. It delves into intricate dynamics in subsurface, focusing on small (pore-lab scale) and reservoir-scale models, highlighting importance capturing microbial, geochemical, fluid flow dynamic interactions porous media simulate storage performance accurately. Small-scale models offer detailed insights localized phenomena, such as microbial consumption mineral reactions, can be verified calibrated against laboratory data. Conversely, large-scale are essential assess feasibility a project forecast performance, but cannot proven by real data yet. work addresses challenge transitioning from fine-scale reservoir integrating spatial heterogeneity long-term while retaining complexity. Through use several simulation tools, like PHREEQC, Comsol, DuMuX, Eclipse, CMG-GEM, others, this study explores how evolving incorporate multiphysics processes biochemical feedback loops, which for predicting retention, flow, potential risks. The findings highlight strengths limitations current techniques suggest workflow exploiting at best existing capabilities developing support appraisal management.
Language: Английский
Citations
1Elsevier eBooks, Journal Year: 2024, Volume and Issue: unknown
Published: Jan. 1, 2024
Language: Английский
Citations
0