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Record W2054590008 · doi:10.2118/0211-020-twa

Carbon Capture and Sequestration: A Potential "Win-Win" for the Oil Industry and the Public

2011· article· en· W2054590008 on OpenAlexaff
Siluni Wickramathilaka, Todd B. Willis

Bibliographic record

VenueThe Way Ahead · 2011
Typearticle
Languageen
FieldEnvironmental Science
TopicAtmospheric and Environmental Gas Dynamics
Canadian institutionsConocoPhillips (Canada)
Fundersnot available
KeywordsGreenhouse gasEnvironmental scienceFossil fuelTonneCanyonMethaneGlobal warmingCarbon dioxideCarbon sequestrationAtmosphere (unit)Nitrous oxideEnhanced oil recoveryWaste managementClimate changeMeteorologyGeologyChemistryEngineeringGeographyOceanography

Abstract

fetched live from OpenAlex

Public Policy Focus - The status of carbon capture and sequestration. In 1972, the first commercial carbon dioxide (CO2) flood project in the world began with the injection of CO2 into the Scurry Area Canyon Reef Operators Committee (SACROC) unit in the Permian Basin in Scurry County, Texas. The goal was simple: To arrest declining oil production and recover bypassed reserves. Today, nearly 40 years later, CO2 injection is being considered on a much wider scale, and for a different purpose altogether: To help arrest an increase in the average surface temperature of the planet. CO2, among other gases such as methane and nitrous oxide, is a “greenhouse gas,” a gas that traps heat in the Earth’s atmosphere by absorbing and emitting radiation within the thermal infrared range, causing a greenhouselike warming effect. The presence of greenhouse gases in Earth’s atmosphere is vital, for without them, Earth’s surface would be on average about 59°F colder than at present. CO2 is also a key ingredient that nourishes plant life through photosynthesis.

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.609
Threshold uncertainty score0.426

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.015
GPT teacher head0.191
Teacher spread0.176 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations3
Published2011
Admission routes1
Has abstractyes

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