Petrophysics-based machine learning assessment of siliciclastic reservoir sediments for CO2 storage in the Bredasdorp basin, Offshore, South Africa

Olayinka, Yinka Ayodeji; Ubuara, David; Eruteya, Ovie; Opuwari, Mimonitu

doi:10.1007/s40948-026-01135-5

Scientific article

English

Petrophysics-based machine learning assessment of siliciclastic reservoir sediments for CO2 storage in the Bredasdorp basin, Offshore, South Africa

ContributorsOlayinka, Yinka Ayodeji; Ubuara, David; Eruteya, Ovie

; Opuwari, Mimonitu

Published inGeomechanics and geophysics for geo-energy and geo-resources

First online date2026-04-16

Affiliation entities

Faculté des sciences / Section des sciences de la Terre et de l'Environnement / Département des sciences de la Terre

Research groups

Reservoir Geology and Sedimentary Basin Analyses

Citation (ISO format)

OLAYINKA, Yinka Ayodeji et al. Petrophysics-based machine learning assessment of siliciclastic reservoir sediments for CO2 storage in the Bredasdorp basin, Offshore, South Africa. In: Geomechanics and geophysics for geo-energy and geo-resources, 2026. doi: 10.1007/s40948-026-01135-5