Robust prediction of pay sands in clastic reservoirs with seismic inversion attributes, Campos basin, Brazil

Heidy Correa-Correa; Gunnar Holmes; Joshua Woodworth

doi:10.3997/2214-4609-pdb.330.16

f Robust prediction of pay sands in clastic reservoirs with seismic inversion attributes, Campos basin, Brazil
By Heidy Correa-Correa, Gunnar Holmes and Joshua Woodworth
Publisher: European Association of Geoscientists & Engineers
Source: Conference Proceedings, 11th Simposio Bolivariano - Exploracion Petrolera en las Cuencas Subandinas, Jul 2012, cp-330-00014
DOI: https://doi.org/10.3997/2214-4609-pdb.330.16

Abstract

The Eocene deepwater sandstones are the main target in several fields in the Campos basin in Brazil. These sandstones are considered typical unconsolidated to partially consolidated clastic reservoirs, with porosity values in the range of 26-28%. Recent publications have shown the effectiveness of AI-SI attribute derived from seismic inversion to highlight zones of interest in clastic reservoirs, particularly in Brazil.

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2012-07-29

2024-04-19

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f Robust prediction of pay sands in clastic reservoirs with seismic inversion attributes, Campos basin, Brazil

Abstract

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