CO<sub>2</sub> Sequestration Assessment of the basal sandstone in Tennessee (SECARB Phase III Work Product 1.6.a)
Bibliographic record
Abstract
Geologic carbon sequestration is the permanent storage of CO2 in deep underground geologic formations, which is preceded by the separation and capture of CO2 at the point of emissions from a stationary source such as a coal-fired electric power plant. The United States Department of Energy’s (DOE’s) Office of Fossil Energy National Energy Technological Laboratory (NETL) is engaged in research and development of Carbon Sequestration Program technology. This report assesses potential geologic carbon dioxide (CO2) storage capacity of the basal sandstone in Tennessee. The Southeast Regional Carbon Sequestration Partnership evaluated the Basal Sandstone in Tennessee for potential to store commercial quantities of CO2. This report expands upon the findings from the 2007 assessment of potential CO2 storage reservoirs in the southeast United States, which included an initial assessment of the basal sandstone capacity. These estimates are based on limited and generalized data sets, which are primarily from published literature. In the 2007 report, the depth range for the basal sandstone was found to be 4,000 to 8,000 feet (ft) and the average thickness was 100 ft. The capacity estimate for the basal sandstone from the 2007 report was 2.5 gigatons (Gt) (metric) of CO2. Recognized the need for a more accurate estimate of capacity for the geologic sinks. This report provides a site specific, detailed geologic investigation of the basal sandstone. In this report the CO2 storage capacity of the basal sandstone in Tennessee is assessed using an average reservoir total porosity, gross formation thickness, and average storage reservoir depth and pressure. The methodology is based on the capacity assessment methodology for saline aquifers in the United States Department of Energy 2010 Carbon Sequestration Atlas of the United States and Canada. Storage capacities are summarized in Table ES-1.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), 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".