Bibliographic record
Abstract
This article, written by Senior Technology Editor Dennis Denney, contains highlights of paper IPTC 17089, ’The Plains CO2-Reduction Partnership: CO2-Sequestration Demonstration Projects Adding Value to the Oil and Gas Industry,’ by Charles D. Gorecki, Edward N. Steadman, John A. Harju, James A. Sorensen, John A. Hamling, SPE, Lisa S. Botnen, Scott C. Ayash, and Katherine K. Anagnost, Energy & Environmental Research Center, prepared for the 2013 International Petroleum Technology Conference, Beijing, 26-28 March. The paper has not been peer reviewed. Carbon capture, use, and storage (CCUS) in geological media can be an important means for reducing anthropogenic greenhouse-gas emissions. Several geological settings are appropriate for geological storage of carbon dioxide (CO2), including depleted oil and gas reservoirs, deep brine-saturated formations, CO2-flood enhanced-oil-recovery (EOR) operations, and enhanced coalbed-methane recovery. The US Department of Energy is pursuing a program to demonstrate CCUS technology through its Regional Carbon Sequestration Partnership (RCSP) program. Introduction The Plains CO2 Reduction (PCOR) partnership, led by the Energy & Environmental Research Center, is one of seven regional partnerships established under the RCSP program. The PCOR partnership region includes all or part of nine US states and four Canadian provinces (Fig. 1) and is made up of many private- and public-sector groups working to identify the most-suitable CO2-storage strategies and technologies, aid regulatory development, educate the general public, and investigate appropriate infrastructure for CCUS commercialization within its region. The Phase-III program includes two commercial-scale projects—the Fort Nelson carbon- capture and -storage (CCS) feasibility project and the Bell Creek CO2-EOR/CO2-storage project. Fort Nelson. The PCOR partnership and Spectra Energy Transmission are investigating CCUS to mitigate CO2 emissions produced by the Fort Nelson Gas Plant (FNGP) as a waste stream from natural-gas processing. FNGP is near the town of Fort Nelson in northeastern British Columbia, Canada (Fig. 2). The gas stream will include up to 5% hydrogen sulfide (H2S) and a small amount of methane (a sour-CO2 stream). The goal is to capture the stream of sour CO2 that is separated by the current gas-processing operations and store it long term in a deep saline formation. Currently, this sour CO2 is processed in an existing sulfur plant to recover elemental sulfur, and the residual CO2 and sulfur dioxide (SO2) are passed through an incinerator before venting to the atmosphere.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.038 | 0.008 |
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".