2-D Inversion of magnetic data and gravity modelling for characterization of the basement adjacent to the Sergipe-Alagoas basin

Priscilla Alvarez Araújo (CPGG/UFBA), Alanna Costa Dutra (CPGG/LFNA/IF-UFBA)

DOI: 10.22564/16cisbgf2019.002

Análise de AVO 4D para monitoramento de reservatórios siliciclásticos

Marcelo Nascimento dos Santos, Felipe Soares Fernandes Coelho, Henrique Aita Fraquelli, Marcella Rapini Braga, Jan Maurice Brandão Vieira, Álvaro Henrique Arouca de Castro, Anderson Luiz Pimentel (Petrobras)

DOI: 10.22564/16cisbgf2019.031

AVO Analysis in Real Pre-Stack Seismic Data - A Powerful Tool for Fluid Identification During Petroleum Exploration

Mitchel Xavier (Halliburton) and Rodrigo S. Portugal (Halliburton)

DOI: 10.22564/16cisbgf2019.071

Computing seismic properties of natural gases and evaluating AVO responses

R. R. Carvalho (Reservoir Inference Group, Universidade Estadual do Norte Fluminense), F. S. Moraes (Reservoir Inference Group, Universidade Estadual do Norte Fluminense) (INCT-GP - Instituto Nacional de Ciência e Tecnologia Geofísica do Petróleo)

DOI: 10.22564/16cisbgf2019.092

Poroelasticity of the Pre-salt Reservoir Rocks

Guilherme Fernandes Vasquez, Marcio José Morschbacher, Julio Cesar Ramos Justen, Marcos Pozzato Figueiredo, and Douglas Luiz Pinto de Lacerda, (Petrobras)

DOI: 10.22564/16cisbgf2019.107

Seismic inversion of an Antarctic Sampling using python sbppy and a shallow high resolution seismic

Cunha, J.B. Ayres Neto, A. Martins. M. S, (Universidade Federal Fluminense)

DOI: 10.22564/16cisbgf2019.108

Stochastic seismic anisotropy sequential inversion for geomechanical properties and in-situ stress estimation

Uilli Freitas, Igor Braga, Pedro Canhaço and Renzo Francia, (Invision Geophysics, Brazil)

DOI: 10.22564/16cisbgf2019.109

Uncertainty quantification in linear inverse problems with dimension reduction

Leandro Passos de Figueiredo (LTrace and UFSC); Dario grana (UW); Leonardo Azevedo (IST); Mauro Roisenberg (UFSC); Bruno B. Rodrigues (PETROBRAS S/A – CENPES/PDGP/CMR)

DOI: 10.22564/16cisbgf2019.110