Seismic identification of carbonate reservoir sweet spots using unsupervised machine learning: A case study from Brazil deep water Aptian pre-salt data-Reference-Cited by-同舟云学术

Seismic identification of carbonate reservoir sweet spots using unsupervised machine learning: A case study from Brazil deep water Aptian pre-salt data

Published:2023-05 Issue: Volume:151 Page:106199
ISSN:0264-8172
Container-title:Marine and Petroleum Geology
language:en
Short-container-title:Marine and Petroleum Geology

Author:

Maas Marcus Vinicius Rodrigues,Bedle Heather,de Matos Marcilio Castro

Funder

Petrobras

Publisher

Elsevier BV

Subject

Stratigraphy,Economic Geology,Geology,Geophysics,Oceanography

Reference28 articles.

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4. Pre-salt depositional system: sedimentology, diagenesis, and reservoir quality of the Barra Velha Formation, as a result of the Santos Basin tectono-stratigraphic development;Carvalho,2021

5. Integrating FWI and reflection tomography to rejuvenate legacy seismic sata: an example from the Faroes-Shetland Basin;Castiello,2022

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