Cargando…
Physics-informed machine learning with differentiable programming for heterogeneous underground reservoir pressure management
Avoiding over-pressurization in subsurface reservoirs is critical for applications like CO[Formula: see text] sequestration and wastewater injection. Managing the pressures by controlling injection/extraction are challenging because of complex heterogeneity in the subsurface. The heterogeneity typic...
Autores principales: | Pachalieva, Aleksandra, O’Malley, Daniel, Harp, Dylan Robert, Viswanathan, Hari |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9636427/ https://www.ncbi.nlm.nih.gov/pubmed/36333378 http://dx.doi.org/10.1038/s41598-022-22832-7 |
Ejemplares similares
-
How to share underground reservoirs
por: Schrenk, K. J., et al.
Publicado: (2012) -
A machine learning framework for rapid forecasting and history matching in unconventional reservoirs
por: Srinivasan, Shriram, et al.
Publicado: (2021) -
Metagenome of the Siberian Underground Water Reservoir
por: Kadnikov, Vitaly V., et al.
Publicado: (2017) -
Impacts of Artificial Underground Reservoir on Groundwater Environment in the Reservoir and Downstream Area
por: Sun, Ya, et al.
Publicado: (2019) -
Underground metabolism as a rich reservoir for pathway engineering
por: Kovács, Szabolcs Cselgő, et al.
Publicado: (2022)