The Kimberlina synthetic multiphysics dataset for CO2 monitoring investigations

The Kimberlina synthetic multiphysics dataset for CO2 monitoring investigations

Abstract We present a synthetic multi‐scale, multi‐physics dataset constructed from the Kimberlina 1.2 CO2 reservoir model based on a potential CO2 storage site in the Southern San Joaquin Basin of California. Among 300 models, one selected reservoir‐simulation scenario produces hydrologic‐state mod...

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Bibliographic Details
Main Authors: David Alumbaugh, Erika Gasperikova, Dustin Crandall, Michael Commer, Shihang Feng, William Harbert, Yaoguo Li, Youzuo Lin, Savini Samarasinghe
Format: Article
Language:English
Published: Wiley 2024-04-01
Series:Geoscience Data Journal
Subjects:
CO2 storage
geophysics
monitoring
subsurface
Online Access:https://doi.org/10.1002/gdj3.191

Internet

https://doi.org/10.1002/gdj3.191

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