Conditioning reservoir models on rate data using ensemble smoothers
Sign Up to like & getrecommendations! Published in 2018 at "Computational Geosciences"
DOI: 10.1007/s10596-018-9750-8
Abstract: There are several issues to consider when we use ensemble smoothers to condition reservoir models on rate data. The values in a time series of rate data contain redundant information that may lead to poorly… read more here.
Keywords: conditioning reservoir; ensemble smoothers; rate; reservoir models ... See more keywords
Composite rock types as part of a workflow for the integration of mm-to cm-scale lithological heterogeneity in static reservoir models
Sign Up to like & getrecommendations! Published in 2020 at "Marine and Petroleum Geology"
DOI: 10.1016/j.marpetgeo.2020.104240
Abstract: Abstract Lithological heterogeneity in the form of sedimentary structures such as cross and planar and as interfaces between massive beddings is known to impact fluid flow and fluid-rock reactions in the subsurface. Such heterogeneity exists… read more here.
Keywords: reservoir; heterogeneity; lithological heterogeneity; reservoir models ... See more keywords
Comparison of artificial neural networks and reservoir models for simulating karst spring discharge on five test sites in the Alpine and Mediterranean regions
Sign Up to like & getrecommendations! Published in 2023 at "Hydrology and Earth System Sciences"
DOI: 10.5194/hess-27-1961-2023
Abstract: Abstract. Hydrological models are widely used to characterize, understand and manage hydrosystems. Lumped parameter models are of particular interest in karst environments given the complexity and heterogeneity of these systems. There is a multitude of… read more here.
Keywords: neural networks; spring discharge; modelling approaches; karst spring ... See more keywords