CCS coupled with CO2 plume geothermal operations: Enhancing CO2 sequestration and reducing risks
Why this work is in the frame
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Bibliographic record
Abstract
The transition to a low-carbon economy is essential for mitigating climate change, particularly in hard-to-abate sectors. Carbon Capture Utilisation and Storage (CC U S) is expected to play a pivotal role in this transition. This numerical study integrates CO 2 Plume Geothermal (CPG) systems with conventional CCS using field data from the Aquistore CCS project. By employing an integrated subsurface-surface modelling workflow, we simulate and compare two 30-year scenarios with nearly identical masses of sequestered CO 2 : a) “Business-as-usual” CCS and b) coupled CPG-CCUS The results suggest that coupled CPG-CCUS operations provide a stable source of geothermal energy, which could potentially reduce or offset energy costs, such as those associated with the CO 2 capturing process. Additionally, coupling CPG with CCS enhances CO 2 sequestration efficiency by increasing CO 2 mass density in reservoir regions that become thermally depleted due to the sustained injection of CO 2 at temperatures lower than the native reservoir temperature. Although thermally depleted regions develop during both CCS and CPG-CCUS operations, they are significantly more pronounced during the latter due to the combined effect of both cold CO 2 injection and heat extraction. Moreover, CPG‑CCUS operations result in a more concentrated CO 2 plume around the wells. While the production well induces a pressure gradient, this gradient primarily directs fluid flow along the injection-to-production well axis, effectively focusing the CO 2 plume and limiting widespread lateral diffusion of the fluids (brine and CO 2 ) to the far-field reservoir. This localised CO 2 accumulation improves CO 2 plume control and reduces risks associated with uncontrolled CO 2 migration, thereby enhancing the predictability of CO 2 accumulation. This synergistic combination of CCS and CPG operations offers a pathway for the energy transition, enhancing both the CCS technology and the geothermal resource potential, while improving CO 2 sequestration safety.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it