The Rosetta Resources CO2 Storage Project - A WESTCARB Geologic Pilot Test
Bibliographic record
Abstract
WESTCARB, one of seven U.S. Department of Energy partnerships, identified (during its Phase I study) over 600 gigatonnes of CO2 storage capacity in geologic formations located in the Western region. The Western region includes the WESTCARB partnership states of Alaska, Arizona, California, Nevada, Oregon and Washington and the Canadian province of British Columbia. The WESTCARB Phase II study is currently under way, featuring three geologic and two terrestrial CO2 pilot projects designed to test promising sequestration technologies at sites broadly representative of the region's largest potential carbon sinks. This paper focuses on two of the geologic pilot studies planned for Phase II -referred to-collectively as the Rosetta-Calpine CO2 Storage Project. The first pilot test will demonstrate injection of CO2 into a saline formation beneath a depleted gas reservoir. The second test will gather data for assessing CO2 enhanced gas recovery (EGR) as well as storage in a depleted gas reservoir. The benefit of enhanced oil recovery (EOR) using injected CO2 to drive or sweep oil from the reservoir toward a production well is well known. EaR involves a similar CO2 injection process, but has received far less attention. Depleted natural gas reservoirs still contain methane; therefore, CO2 injection may enhance methane production by reservoir repressurization or pressure maintenance. CO2 injection into a saline formation, followed by injection into a depleted natural gas reservoir, is currently scheduled to start in October 2006.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".