Enhancement of CO2 monitoring in the sleipner field (north sea) using seismic inversion based on simulated annealing of time-lapse seismic data

Hema, G.; Maurya, S.P.; Kant, Ravi; Singh, Ajay P.; Verma, Nitin; Singh, Raghav; Singh, K.H.

doi:10.1016/j.marpetgeo.2024.106962

Marine and Petroleum Geology

2024

DOI: 10.1016/j.marpetgeo.2024.106962

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Enhancement of CO2 monitoring in the sleipner field (north sea) using seismic inversion based on simulated annealing of time-lapse seismic data

G. Hema,

S.P. Maurya,

Ravi Kant

et al.

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Machine learning assisted reservoir characterization for CO2 sequestration: A case study from the Penobscot field, Canada offshore

Narayan,

Kumar,

Mukherjee

et al. 2024

Marine and Petroleum Geology

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Machine learning assisted reservoir characterization for CO2 sequestration: A case study from the Penobscot field, Canada offshore

Narayan,

Kumar,

Mukherjee

et al. 2024

Marine and Petroleum Geology

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Enhancement of CO2 monitoring in the sleipner field (north sea) using seismic inversion based on simulated annealing of time-lapse seismic data

Cited by 1 publication

References 31 publications

Machine learning assisted reservoir characterization for CO2 sequestration: A case study from the Penobscot field, Canada offshore

Machine learning assisted reservoir characterization for CO2 sequestration: A case study from the Penobscot field, Canada offshore

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