• Application of Microtomography and petrography techniques for the characterization of porosity of synthetic carbonatic rock minerals

            before and after acidification processes

• Numerical simulation of two-phase flows in naturally fractured reservoirs using an embedded discrete fracture

            model and tetrahedral unstructured grids

• Natural fracture flow – mechanical and chemical degradation effects  on carbonates

• An algebraic multiscale solver for unstructured grids in 2-D

• Methodology for production strategy selection of heavy oil field through integration with subsea separation system

• Production strategy optimization through model-based decision analysis to manage a heavy oil reservoir:

            polymer flooding and intelligent wells

• Assessing Infill drilling potentials

• Fluid flow for GI and WAG

• Low carbon opportunities in Alberta: carbon capture and storage + blue hydrogen

• A semi-compositional approach to model asphaltene precipitation and deposition in solvent-based bitumen recovery processes

• Data-driven models for predicting SAGD production 

• Virtual reality (VR) implementation of reservoir models and integration with artificial intelligence (AI)

• Prediction and optimization of geothermal energy production with deep learning models 

• Dynamic data integration into subsurface flow models with deep learning architectures

• Active learning for geologic CO2 storage optimization with data-driven proxy models 

• Physics-guided deep learning for production forecasting in unconventional reservoirs

• A deeper dive exploring the mechanical behaviour of layered rock

• Look what I found online! Integrating public access data to validate laboratory experiments for field applications

• From grain to element: thermal fracturing experiments to build better grain-based FDEM models

• See the unseen – high-resolution imaging and characterizing laboratory fractures in layered anisotropic rocks