MétaCan
Menu
Back to cohort
Record W2095177762 · doi:10.2118/0709-0073-jpt

Regulatory Framework to Accommodate Geological Storage of CO2 in Alberta

2009· article· en· W2095177762 on OpenAlexaboutno aff
Dennis Denney

Bibliographic record

VenueJournal of Petroleum Technology · 2009
Typearticle
Languageen
FieldEnvironmental Science
TopicCO2 Sequestration and Geologic Interactions
Canadian institutionsnot available
Fundersnot available
KeywordsGreenhouse gasLegislationGovernment (linguistics)Carbon capture and storage (timeline)Investment (military)Environmental scienceBusinessNatural resource economicsClimate changePolitical scienceLawEconomics

Abstract

fetched live from OpenAlex

This article, written by Senior Technology Editor Dennis Denney, contains highlights of paper SPE 121000, "Guidelines for a Regulatory Framework To Accommodate Geological Storage of CO2 in Alberta," by M. Zeidouni, SPE, M. Moore, and D. Keith, University of Calgary, prepared for the 2009 SPE Americas E&P Environmental & Safety Conference, San Antonio, Texas, 23-25 March. The paper has not been peer reviewed. A variety of methods has been proposed to reduce the effects of carbon dioxide (CO2) emissions. One method is CO2 capture and storage (CCS) in geological formations. Despite exceptional CCS potential in the Province of Alberta, Canada, legal and regulatory issues must be resolved to allow implementation. Without changes, there will not be enough certainty to enable the industry to make appropriate decisions that encourage investment. Introduction The Canadian federal government has announced a national objective to reduce emissions nationally by 20% from current levels by 2020, and by 60 to 70% by 2050. Various target levels have been defined for greenhouse-gas (GHG) emissions in Alberta. Alberta is the first province in Canada to introduce legislation to reduce GHG-emission intensity from large industrial sources. Large companies in Alberta emitting more than 100 000 t/a of GHGs will have to reduce their annual emissions intensity by 12%, or they will be charged USD 15/t (all costs are in 2005 dollars) above the 12% target. Alberta claims that it wants to cut its projected GHG emissions in half, by 200 Mt, by 2050. CCS CCS is a process for reducing GHG emissions into the atmosphere by first extracting CO2 from gas streams typically emitted during electricity production, fuel processing, and other industrial process. Once captured and compressed, the CO2 would be transported by pipeline or tanker to a storage site, often to be injected into an underground storage site (or geological formation). Potential sites for geological storage of CO2 include enhanced oil recovery by use of CO2, CO2 storage (CS) in depleted oil and gas reservoirs, replacement of methane by CO2 in deep coalbeds, injection of CO2 in deep saline aquifers, and CS in salt caverns. Among these options, saline aquifers possess the highest potential for CS in Alberta. Preliminary estimates indicate that the capacity of the Alberta basin to sequester CO2 dissolved in the formation waters at depths greater than 1000 m is on the order of 4000 Gt of CO2. Challenges and Deployment High capital costs and regulatory issues are the main challenges to CCS. Although all the components of CCS technology (i.e., capture, transport, and storage) are available and being demonstrated, they are not fully integrated in commercial-scale facilities. The current cost of CCS is USD 65 to 85/t of CO2. This cost is predicted to reduce to USD 20 to 30/t of CO2 after the technology is fully commercialized, which is expected to occur along with technology advancement after 2020. Financial and regulatory support is needed to make this happen. The industry requires policy and regulatory certainty to assess financial risks of carrying on with investment.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.289
Threshold uncertainty score1.000

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 studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.007
GPT teacher head0.257
Teacher spread0.250 · 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.

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

Citations1
Published2009
Admission routes1
Has abstractyes

Explore more

Same venueJournal of Petroleum TechnologySame topicCO2 Sequestration and Geologic InteractionsFrench-language works237,207