| Abstract Submission No. | ABS-4.1-0048 |
| Title of Abstract | CO₂ plume migration |
| Authors | Divya* |
| Organisation | IIT(ISM) Dhanbad |
| Address | E-152 New Nakoda Colony , Baran Rajasthan Baran, Rajasthan, India Pincode: 325205 E-mail: 23mc0036@iitism.ac.in |
| Country | India |
| Presentation | Poster |
| Abstract | Carbon capture, utilization, and storage (CCUS) requires efficient and reliable monitoring approaches to assess the safety of long-term storage. Although active seismic techniques are effective, they are costly and only capture ¿snapshots¿ of subsurface conditions which may not be sufficient for monitoring land energy resources (LER). This study looks to develop a continuous monitoring process for CO₂ plume migration using passive seismic applications. The process employs dense ocean-bottom or terrestrial seismic arrays to implement Ambient Noise Tomography (ANT), which utilizes existing seismic signals to image temporal variations in the subsurface. New approaches enhance traditional one-dimensional signal processing workflows with machine-learning techniques and multi-component data to improve processing with greater sample density and applications in near real-time. The new workflow includes site specific reservoir rock physics models that relate seismic velocity change to constituent properties within reservoirs, such as porosity and permeability. The enhanced passive seismic workflow will enable automated monitoring of ambient seismic vibration noise and provide advanced warning of possible plume migration. In combination with valuable existing monitoring methods such as 4D seismic, well data and others, passive seismic interpretations become contextualized into multicontrol monitoring observations to reduce overall monitoring costs, improve the safety of long-term CO₂ storage and ultimately serves as a solution for assessing planned (and potentially less costly options) scaling up of CCUS operations. |
| Keywords | Carbon Capture, Utilisation and Storage (CCUS) |