Expertise in conventional and unconventional reservoir simulation, focusing on thermal and compositional modelling.

Automatic History Matching, built-in sensitivity and uncertainty analysis in the reservoir simulation workflow.

Simulation Best Practice to provide consistency and reliability in SAGD simulation inputs, process and methodologies during the performance evaluation. The best practice covers full range of key simulation assumptions and inputs, best practice and hands-on experience, wellbore and reservoir coupled simulation, sensitivity analysis, dynamic geo-model ranking and uncertainty analysis workflow.

Efficient Dynamic Geomodel Ranking using sensitivity and uncertainty analysis, as well as automatic ranking algorithm to ensure the selected static model can accurately represent the representative high mid low range of geological inputs based on selected objective functions. These objective functions can be either volumetric or key economic metrics as primary and secondary objective functions respectively. This method is more efficient and representative than traditional static geomodel ranking methods (volume ranking, line of sight etc. which ultimately still needs to be validated with the dynamic modelling with high uncertainties and computational time).

Developed a coupled reservoir simulator that can simultaneously simulate the pressure and flow rate distribution in both reservoir and horizontal wellbore.

Coupled reservoir and wellbore modeling application on specific wellbore focused studies/scenarios, including turn around impact, high pressure circulation, VIT and Liner Deployed ICD trial, electrical heating.

Wellbore design optimizations including completions design for optimal cost and production.

Special simulation cases like ES-SAGD, NCG injection simulation and top gas re-pressurization simulation.