Integrating the Equinor Pre-salt Centre of Excellence.

Research and consultancy on artificial intelligence and computer vision applied on geological and geophysical tasks (e.g. seismic interpretation, fracture detection) for the Oil & Gas sector.Active in proposal writing for research and consultancy projects involving computer vision and machine learning as applied to the geosciences.Independently develops personal software skills including Python for data analysis and GIS, scientific computation, and machine learning.Applies deep learning to fault detection in seismic image data in order to evaluate its technical viability for structure recognition in large data sets.Works on the development of an automated fracture network characterization software prototype, using GIS and computer vision in Python applied in high resolution images.

Collaborator on the project ¨Numerical simulation of hydraulic fracturing of fractured carbonate rocks integrated with geological modeling¨.Prepares scientific articles integrating results from rock descriptions, petrophysics, rock mechanics, and microstructural analysis to describe extensional fracturing in tight carbonate rocks.Executed cleaning and pre-processing for exploratory data analysis with Python in order to characterize correlation between rock properties and fracture development.Presented a course on data analysis with Python for university students, and supervised a masters project on the mechanical stratigraphy of lacustrine carbonates of the Crato Formation, Araripe Basin.

Structural interpretation of seismic data for exploration and development of naturally fractured reservoirs, especially Pre-salt carbonate reservoirs of the Santos Basin.Cross-section restoration and balancing using Move (Midland Valley) for tectono-stratigraphic analysis and exploration of pre- and post-salt prospects in the Campos and Santos Basins.Fieldwork including mechanical stratigraphy, structural mapping and characterization, sample collection, and geomechanical tests using Schmidt hammer and Equotip on Aptian and Albian potential carbonate analogs of pre- and post-salt reservoirs.Numerical modeling of deformation processes using FaultED (TrapTester) to understand driving fracture intensity in DFN models. Carried out structural and fracture modeling workflows in Petrel, GOCAD, and TapTester, integrating image log interpretations, well core and geomechanical data.Gave technical training on structural and geomechanical analysis of petroleum reservoirs at Petrobras University (UP), including creation of the first well core structural analysis course and participation in other UP courses teaching mechanical stratigraphy and natural fracture characterization for geologists and geophysicists.