On October 5-7, the SMART team convened for an internal technical meeting to share Phase I accomplishments and discuss Phase II early planning, including work packages. All tasks presented posters and moderated breakout poster discussions, and also led large group deep dives into research findings. Topics included:
- 4D distribution of CO2 saturation, including the development of functional physics informed workflows.
- Radical improvements in imaging pressure and stress.
- Machine learning enabling rapid real time inverse modelling and forward forecasting of subsurface fluid flow.
- Using accurate, fast and predictive models to guide interactive, virtual learning platforms that support active reservoir management in CO2
- Real time visualization of faults and fracture networks using seismic monitoring data.
- Accurate real-time forecasting of fractured reservoirs using ML accelerated workflows.
The findings were brought into the framing of the purpose of the SMART project: to support carbon capture and storage decisionmakers (including operators, regulators, etc.) with the best tools to make the most well-informed and speedy decisions possible.
Scope of work for Phase II is underway with input from all the teams. Once the SOW and work packages take shape, teams will coordinate early to minimize redundancy and make the most of crosscutting activities. Multi-objective functions within and between teams will direct researchers towards integrated deliverables.
Themes are emerging, such as clarifying the methods of data collection upfront to honor the value of information, and getting good data as quickly as possible to inform next stages of the project. Starting with the successes and lessons learned from Phase I, the teams will integrate research developed in Phase I to reach early wins that demonstrate utility and veracity of the methods, with their basin-wide applications. This will position us well to get familiar with the unique characteristics of different sites later in the project.