FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W3083342859> ?p ?o ?g. }

• W3083342859 endingPage "3856" @default.
• W3083342859 startingPage "3846" @default.
• W3083342859 abstract "Carbon dioxide sequestration in deep saline aquifers and depleted reservoirs relies on numerical models for the prediction of the spatial distribution of CO <sub xmlns:mml=http://www.w3.org/1998/Math/MathML xmlns:xlink=http://www.w3.org/1999/xlink>2</sub> saturation during injection and migration. Due to the limited knowledge of the rock and fluid properties before injection, model predictions are often uncertain and must be updated when new measurements are available. The spatial distribution of CO <sub xmlns:mml=http://www.w3.org/1998/Math/MathML xmlns:xlink=http://www.w3.org/1999/xlink>2</sub> saturation and the plume location can be monitored using time-lapse geophysical data, such as seismic and controlled source electromagnetic surveys. We propose a geostatistical inversion approach for the prediction of the time-dependent spatial distribution of CO <sub xmlns:mml=http://www.w3.org/1998/Math/MathML xmlns:xlink=http://www.w3.org/1999/xlink>2</sub> saturation from geophysical data. The methodology is based on the application of a stochastic optimization method, the Ensemble Smoother, for the solution of the inverse problem, using rock physics and geophysical models. The inversion is applied to the difference in the geophysical data acquired before and during injection. The predicted models of CO <sub xmlns:mml=http://www.w3.org/1998/Math/MathML xmlns:xlink=http://www.w3.org/1999/xlink>2</sub> saturation are obtained by updating an ensemble of geostatistically generated prior realizations, based on the misfit between geophysical model predictions and measured data. The novelty of the approach is the integration of geostatistical algorithms and stochastic optimization methods for the joint inversion of geophysical data. The proposed approach allows including hydrological constraints in the prior model and quantifying the prediction uncertainty due to the noise and resolution of the data and approximations in the physical relations. The method is applied to the Johansen formation model, offshore Norway, using synthetic seismic and electromagnetic data." @default.
• W3083342859 created "2020-09-11" @default.
• W3083342859 creator A5008177240 @default.
• W3083342859 creator A5039023146 @default.
• W3083342859 creator A5083974016 @default.
• W3083342859 date "2021-05-01" @default.
• W3083342859 modified "2023-10-14" @default.
• W3083342859 title "Prediction of CO₂ Saturation Spatial Distribution Using Geostatistical Inversion of Time-Lapse Geophysical Data" @default.
• W3083342859 cites W1113741873 @default.
• W3083342859 cites W1162880159 @default.
• W3083342859 cites W1512208174 @default.
• W3083342859 cites W1588303798 @default.
• W3083342859 cites W1618694827 @default.
• W3083342859 cites W1917545953 @default.
• W3083342859 cites W1974712968 @default.
• W3083342859 cites W1975727766 @default.
• W3083342859 cites W1978723754 @default.
• W3083342859 cites W1986374267 @default.
• W3083342859 cites W1999253439 @default.
• W3083342859 cites W2004124997 @default.
• W3083342859 cites W2018353504 @default.
• W3083342859 cites W2021956727 @default.
• W3083342859 cites W2042410044 @default.
• W3083342859 cites W2058265543 @default.
• W3083342859 cites W2073950053 @default.
• W3083342859 cites W2075918543 @default.
• W3083342859 cites W2081182050 @default.
• W3083342859 cites W2097849132 @default.
• W3083342859 cites W2099858033 @default.
• W3083342859 cites W2128087961 @default.
• W3083342859 cites W2128931495 @default.
• W3083342859 cites W2147594621 @default.
• W3083342859 cites W2150577223 @default.
• W3083342859 cites W2154144702 @default.
• W3083342859 cites W2169107659 @default.
• W3083342859 cites W2169817802 @default.
• W3083342859 cites W224589444 @default.
• W3083342859 cites W2325222712 @default.
• W3083342859 cites W2490973202 @default.
• W3083342859 cites W2520097718 @default.
• W3083342859 cites W2527408196 @default.
• W3083342859 cites W2559488099 @default.
• W3083342859 cites W2566937693 @default.
• W3083342859 cites W2657667125 @default.
• W3083342859 cites W2760685673 @default.
• W3083342859 cites W2783586977 @default.
• W3083342859 cites W2801110466 @default.
• W3083342859 cites W2810906745 @default.
• W3083342859 cites W2887468057 @default.
• W3083342859 cites W2897204095 @default.
• W3083342859 cites W2911181190 @default.
• W3083342859 cites W2913170515 @default.
• W3083342859 cites W2915004230 @default.
• W3083342859 cites W2919657455 @default.
• W3083342859 cites W2924230311 @default.
• W3083342859 cites W2926175640 @default.
• W3083342859 cites W2941166818 @default.
• W3083342859 cites W2963157298 @default.
• W3083342859 cites W2979661925 @default.
• W3083342859 cites W2981785001 @default.
• W3083342859 cites W2996524525 @default.
• W3083342859 cites W3009350843 @default.
• W3083342859 cites W4256129314 @default.
• W3083342859 cites W943932750 @default.
• W3083342859 cites W970375936 @default.
• W3083342859 doi "https://doi.org/10.1109/tgrs.2020.3018910" @default.
• W3083342859 hasPublicationYear "2021" @default.
• W3083342859 type Work @default.
• W3083342859 sameAs 3083342859 @default.
• W3083342859 citedByCount "14" @default.
• W3083342859 countsByYear W30833428592021 @default.
• W3083342859 countsByYear W30833428592022 @default.
• W3083342859 countsByYear W30833428592023 @default.
• W3083342859 crossrefType "journal-article" @default.
• W3083342859 hasAuthorship W3083342859A5008177240 @default.
• W3083342859 hasAuthorship W3083342859A5039023146 @default.
• W3083342859 hasAuthorship W3083342859A5083974016 @default.
• W3083342859 hasConcept C11413529 @default.
• W3083342859 hasConcept C114614502 @default.
• W3083342859 hasConcept C121332964 @default.
• W3083342859 hasConcept C127313418 @default.
• W3083342859 hasConcept C134306372 @default.
• W3083342859 hasConcept C135252773 @default.
• W3083342859 hasConcept C143606050 @default.
• W3083342859 hasConcept C153294291 @default.
• W3083342859 hasConcept C160920958 @default.
• W3083342859 hasConcept C165205528 @default.
• W3083342859 hasConcept C187320778 @default.
• W3083342859 hasConcept C1893757 @default.
• W3083342859 hasConcept C2775840915 @default.
• W3083342859 hasConcept C2777016058 @default.
• W3083342859 hasConcept C2779345167 @default.
• W3083342859 hasConcept C33923547 @default.
• W3083342859 hasConcept C41008148 @default.
• W3083342859 hasConcept C46293882 @default.
• W3083342859 hasConcept C62649853 @default.
• W3083342859 hasConcept C6648577 @default.
• W3083342859 hasConcept C77928131 @default.

• next