Learn about the physical and chemical changes that occur in the reservoir due to aquathermolysis reactions and how this will affect the operation of steam-based oil recovery processes.

In this course attendees will learn how to build lab-scale models for aquathermolysis kinetic studies using Builder’s advanced features. Attendees will also learn how to use CMOST-AI assisted history matching techniques to tune theoretical aquathermolysis reaction kinetics models in order to develop a kinetic model specific to their reservoir and field operating conditions.

Aquathermolysis kinetics will be applied to a real field-scale model using Builder and run using STARS. Here, participants can study the quantitative effect of reservoir souring due to aquathermolysis on the field production of different gases such as methane, H2S, and CO2. Participants will also learn how to analyze the content of these components in the produced oil and water streams during a bitumen recovery processes using Results.

After completing the course, users will be able to run STARS simulations to make quantitative predictions on the amount of sour gas production in their steam process through different water, oil and gas streams due to aquathermolysis reactions.

Course Content

  • Theoretical background of aquathermolysis, how it occurs, when and where it happens in the reservoir and its impact on gas and liquid production and composition
  • Review implications of aquathermolysis effects on steam processes in both lab and field cases
  • Apply CMOST-AI assisted history matching of isothermal batch experiments to develop aquathermolysis reaction kinetics
  • PVT modelling of aquathermolysis processes using real data in Builder including solubility of sour components such as CH4, H2S and CO2 in aqueous and oleic phases.
  • Lab and field-scale simulation of aquathermolysis process in STARS
  • Detailed interpretation and analysis of outputs using Results

For inquiries regarding CMG training courses, please contact us by
Email or Phone at +1.403.531.1300.