Development of the First Internationally Accepted Standard for Geologic Storage of Carbon Dioxide Utilizing Enhanced Oil Recovery (EOR) Under the International Standards Organization (ISO) Technical Committee TC-265
Bibliographic record
Abstract
The Carbon Capture Utilization & Sequestration (Storage) (CCUS) marketplace is la cking standardization and therefore the ability to allow CCUS projects to advance as Clean Development Mechanism (CDM) projects as well as to advance to full scale commercialization. An international effort between the United States and Canada, funded by the International Performance Assessment Centre for Geologic Storage of Carbon Dioxide (IPAC-CO2 Research Inc.), and managed by CSA Standards, have developed the first internationally recognized Standard for the geologic storage of carbon dioxide (Z-741). The Z-741 Standard has been adopted by the Standards Council of Canada (SCC) and is available to the American National Standards Institute (ANSI). As a direct result of Z-741, the International Standards Organization (ISO) has created a technical committee to advance the development of comprehensive international standards that address CCUS. This ISO Technical Committee (TC) 265, Carbon dioxide capture, transportation, and geological storage, recently announced the creation of a new working group (WG) focused on standardization in connection with enhanced oil recovery (EOR) related carbon dioxide (CO2) storage. The new group, WG 6, CO2 EOR, was created at the TC-265 third plenary meeting, held at the China University of Petroleum–Beijing on September 23–25, 2013. During the Beijing meeting, the U.S. and Norway proposed the creation of WG 6 following a pre sentation on CO 2 EOR. The U.S. Technical Advisory Group (TAG) to ISO TC 265, administered by CSA Group, an American National Standards Institute (ANSI) organizational member and accredited standards developer, named the U.S. as conven er and Norway as co-convener. WG 6 will focus on standardization efforts associated with low-pressure subsurface oil field operating environments and related
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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 | 0.001 | 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 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".