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Institutional
About us
Vision, Mission, and Values
Organization Chart
Our Team
Partners
Laboratories
EPIC in the Media
Research Lines
Reservoir Management
Flow Assurance
Reservoir Characterization
Integrated Reservoir Studies
Production
Journal Papers
Conference Papers
Alumni and Former Researchers
Technology Transfer
Events
Opportunities
Sustainability
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EN
BR
Journal Papers
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Learning characteristic parameters and dynamics of centrifugal pumps under multiphase flow using physics-informed neural networks
Better stopping through cross validation in an iterative ensemble smoother: A perspective from supervised machine learning
Selection of well opening schedules in pre-salt reservoirs using WAG-CO2
IMMISCIBLE VISCOUS FINGERING MODELING OF TERTIARY POLYMER FLOODING BASED ON REAL CASE OF HEAVY OIL RESERVOIR MODEL
Integration between experimental investigation and numerical simulation of alkaline surfactant foam flooding in carbonate reservoirs
MODEL-BASED ANALYSIS TO EVALUATE THE EFFECT OF POLYMER PROPERTIES AND PHYSICAL PHENOMENA ON POLYMER FLOODING OPERATIONS
Development and assessment of a particle tracking velocimetry (PTV) measurement technique for the experimental investigation of oil drops behaviour in dispersed oil–water two-phase flow within a centrifugal pump impeller
Utilizing integrated artificial intelligence for characterizing mineralogy and facies in a pre-salt carbonate reservoir, Santos Basin, Brazil, using cores, wireline logs, and multi-mineral petrophysical evaluation
The Golem: A general data-driven model for oil & gas forecasting based on recurrent neural networks
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