Year: 2025
Type: conference-paper
Abstract: The carbonate mounds in the Santos Basin are geological features of great importance for hydrocarbon exploration. These buildings can also have silicified facies which can lead to changes in the expected permo-porosity behavior of the area. This work relies on the application of deep learning through seismic inversion volumes IP, IS and VPVS ratio. Through Deep Learning, possible zones of silicification were mapped.
Language: English
Subfield: Geophysics
Field: Earth and Planetary Sciences
Domain: Physical Sciences
Open Access status: bronze
OpenAlex ID: W7125712922
