Bibliographic record
Abstract
Technology Focus Carbon-dioxide (CO2) injection is a successful enhanced-oil-recovery (EOR) technology that has been deployed extensively in the Permian Basin of West Texas, enabled by CO2 mostly produced and transported from naturally occurring CO2 reservoirs in Colorado and New Mexico. Further expansion of CO2 EOR has been limited by the availability of affordable CO2 rather than the existence of suitable target reservoirs for redevelopment with CO2 EOR. The US Department of Energy estimates that 67 billion STB of economically recoverable next-generation CO2-EOR oil exist in US conventional reservoirs, with significant potential identified in other oil provinces around the world. This situation may be about to change. On 9 February, Congress passed and the president signed into law a budget agreement that included language to expand a 2009 tax credit for CO2 capture and storage known as 45Q. The key provisions are that, for stored CO2, the tax credit rises to $50 per tonne in 2027, while, for EOR, the equivalent value is $35. The amounts will be adjusted for inflation after 2026. The tax credit is per tonne of CO2 captured as long as it can be established that the CO2 was stored. The tax credit is transferable, hence nontax-paying entities or entities that have no tax liability can benefit from the program. The credit goes to the facility that captures the CO2 and is available for the first 12 years of operation. There is no cap on the arrangement for the tax-credit projects coming online after 2018 or for which construction has started before 2024. As a result, the US now has a carbon-pricing mechanism that could well be enough to unlock a wave of innovative CO2-capture projects and lead to a significant expansion in CO2 EOR, ultimately leading to new infrastructure, storage sites, and technology improvements that give birth to a CO2-capture industry. Recommended additional reading at OnePetro: www.onepetro.org. SPE 185526 Surveillance and Initial Results of an Existing Polymer Flood: A Case History From the Rayoso Formation by L.A. Martino, YPF, et al. SPE 188363 A Field Case Study of an Interwell Gas Tracer Test for Gas-EOR Monitoring by Modiu Sanni, Saudi Aramco, et al. SPE 185734 Case Histories of Solvent Use in Thermal Recovery by Bita Bayestehparvin, University of Calgary, et al.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.510 | 0.392 |
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".