A Semi‐Analytical Solution to Evaluate the Spatiotemporal Behavior of Diffusive Pressure Plume and Leakage From Geological Storage Sites
Bibliographic record
Abstract
Abstract Analytical and semi‐analytical approaches provide an easy‐to‐use tool to verify the success of long‐term and large‐scale deployment of subsurface CO 2 storage. Existing classical solutions lack significant features that are essential in the interpretation of the spatiotemporal evolution of pressure plume. We, obviating the limiting assumptions, report a novel general semi‐analytical solution to a physical problem where a storage layer and a caprock are embedded in an infinite medium. We exploited the features of an integral transform technique and Laplace transform to derive the new solution. An effective numerical treatment is suggested to evaluate the obtained solutions. We identify a distorted Gaussian spatiotemporal pressure plume for the cases when the overburden/underburden permeabilities are less than that of the storage layer. We investigate the nature of temporal behavior of leakage rates and identify a scaling relation in the form of L d ∝ t d 1 /2 for dimensionless leakage rate and time. We also present a benchmark pressure trend to detect the pressure anomaly signaling potential brine and CO 2 leakage. This theory will be invoked as a benchmark analytical study in fields where diffusion is of immense interest.
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How this classification was reachedexpand
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 | 0.001 | 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 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.011 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".