Publications, Activities, and Awards

  • A Novel Viscoelastic Model for Predicting the Viscoelastic Behavior of Synthetic Polymers using Direct Extensional Rheological Measurements
  • Closed-Loop reservoir management using nonlinear model predictive control: A field case study
  • Closed-Loop Reservoir Management Using Nonlinear Model Predictive Control: A Field Case Study
  • Data analytics and integration for oilfield development
  • Data Analytics and Machine Learning for SAGD/Heavy Oil Real-time Closed Loop Reservoir Predictions and Optimization
  • Does Polymer's Viscoelasticity Influence Heavy Oil Sweep Efficiency and Injectivity at 1ft/day?
  • Effect of Surfactant Type, Rock Type, Brine Salinity and Ionic Composition on Zeta Potential and Phase Behavior: An Experiemental Approach
  • Evaluating the Performance of CO2 Foam and CO2 Polymer Enhanced Foam for Heavy Oil Recovery: Laboratory Experiments in Unconsolidated and Consolidated Porous Media
  • Extensional Rheological Data from Ex-situ Measurements for Predicting Porous Media Behaviour of the Viscoelastic EOR Polymers
  • Extensional Rheological Role on the Viscoelastic Polymer Flooding: Unanswered Questions, Myth or Reality?
  • Heavy Oil Recovery Processes and Reservoir Optimization with GHG Sequestration
  • Integration of data-driven models for inference of reservoir heterogeneities in SAGD production analysis
  • Investigating the Viscoelastic Polymer’s Rheological Influences on the Sweep Efficiency and Injectivity During Heavy Oil Recovery Applications
  • Low Salinity Water Injection in a Clastic Reservoir in Northeast Brazil: An Experimental Case Study
  • Machine learning models and advanced optimization techniques for thermal/thermal-solvent recovery optimization
  • Modelling Reduction in Residual Oil Saturation during Enhanced Oil Recovery Process
  • Novel Viscoelastic Model for Predicting the Synthetic Polymer’s Viscoelastic Behavior in Porous Media Without Core Flood
  • Optimization of reservoir operations for an oilfied in Peru
  • Optimization of Steam Allocation for Heavy Oil Reservoirs
  • Optimization of Steam Injection for Heavy Oil Reservoirs Using Reinforcement Learning
  • Overview of Research Advancement - In-Situ Heavy Oil Recovery
  • Overview of Research Advancement in In-Situ Heavy Oil and Shale Recovery and GHG Emissions Management
  • Performance Assessment of Ensemble Kalman Filter and Markov Chain Monte Carlo under Forecast Model Uncertainty
  • Performance of ensemble Kalman filter and Markov chain Monte Carlo under uncertainty in forecast model
  • Performance of ensemble Kalman filter and Markov chain Monte Carlo under uncertainty in forecast model
  • Polynomial-Chaos-Expansion Based Metamodel for Computationally Efficient Data Assimilation in Closed-Loop Reservoir Management
  • Progress on Optimization of Steam-Solvent Thermal Process for Efficient In-Situ Recovery and Reducing GHG Emissions
  • Real-Time Production Optimization of Steam-Assisted-Gravity-Drainage Reservoirs Using Adaptive and Gain-Scheduled Model-Predictive Control: An Application to a Field Model
  • Research Collaboration Meeting with NRCan
  • Reservoir management and advanced optimization for thermal and thermal-solvent based in-situ recovery processes - Joint Workshop
  • Reservoir Management and Advanced Optimization for Thermal and Thermal-Solvent based Recovery Processes using Scaled Models and Machine Learning - Current Status
  • Static and Dynamic Performance ofWet Foam and Polymer-Enhanced Foam in the Presence of Heavy Oil
  • Stimulation of Mature Oilfields
  • The Effect of Surfactant and Brine Type on Zeta Potential and Oil Recovery During Low Salinity Water Flooding in Carbonate Rocks
  • Updates on development of real-time optimization frameworks and machine learning algorithms
  • Upstream Oil & Gas Industry: Past, Present and Future
  • Zero Net Carbon (Less Water and Energy) thermal process for in-situ oil sand recovery with GHG capture and utilization