
Oil & Gas Group
This group brings together those who are interested in topics around oil and gas exploration, drilling, refining, and processing.
Shared Link
CO2 Storage in Saline Aquifers: Dynamic Modeling For Risk Management
Risk analysis and dynamic simulation models can help guide geologic storage project by providing information on potential risks associated with CO2 leakage and other adverse impacts.
KEY LEARNINGS
- The calibrated models provides confidence that available models can predict safe storage over the life of project.
- Key subsurface risks like; plume migrating out of Area of Review (AoR), CO2 leakage through faults/fractures, leakage through seal failure or through leaking legacy welbore can be quantitatively predicted using model.
- Models also helps in planning and designing the Monitoring, Verification and Accounting (MVA) plans during site characterization, injection and closure phase.
- Dynamic modeling can quantitatively assess subsurface uncertainties and risk
- Response Surface Models (RSM) or Design of Experiments (DOE) have been successfully used in industry and by NETL to manage risks in CO2 storage project (research).
- Risk Assessment Matrix (RAM) tool has been effectively used in oil & gas and well adapted in CO2 project when used in conduction with dynamic modeling to identify and quantify impact of risks (Impact = Severity of risk x Likelihood of Risk)
- All high risk impacts must be reduced to a lower and acceptable levels.
- BowTie risk method can help control and mitigate risks before and after the top hazard (could be CO2 plume moving out of Area of review or AoR) occurred to avoid consequences
FINAL THOUGHTS
Risk management is critical to the success of CO2 storage project throughout its lifecycle. Both subsurface (technical) and aboveground risks (non-technical) risks are important and must be managed. Especially the subsurface risk can be well quantified using dynamic reservoir modeling.
CO2 Storage in Saline Aquifers: Dynamic Modeling For Risk Management
Risk analysis and dynamic simulation models can help guide geologic storage project by providing information on potential risks associated with CO2 leakage and other adverse impacts. The calibration of models with history match data provides confidence th
Discussions
No discussions yet. Start a discussion below.
Get Published - Build a Following
The Energy Central Power Industry Network is based on one core idea - power industry professionals helping each other and advancing the industry by sharing and learning from each other.
If you have an experience or insight to share or have learned something from a conference or seminar, your peers and colleagues on Energy Central want to hear about it. It's also easy to share a link to an article you've liked or an industry resource that you think would be helpful.
Sign in to Participate