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Record W2036897043 · doi:10.2118/138885-ms

Carbon Footprint and Principle of Additionality in CO2-EOR Projects: The Weyburn Case

2010· article· en· W2036897043 on OpenAlexaffabout
José Cóndor, Jitsopa Suebsiri, M. J. Wilson, K. Asghari

Bibliographic record

VenueSPE Latin American and Caribbean Petroleum Engineering Conference · 2010
Typearticle
Languageen
FieldEnvironmental Science
TopicCO2 Sequestration and Geologic Interactions
Canadian institutionsUniversity of Regina
Fundersnot available
KeywordsAdditionalityEnhanced oil recoveryCarbon capture and storage (timeline)Greenhouse gasEnvironmental scienceCarbon footprintPetroleum engineeringCarbon sequestrationFossil fuelWaste managementClimate changeEngineeringCarbon dioxideEnvironmental economicsEconomicsGeologyChemistry

Abstract

fetched live from OpenAlex

Abstract This paper addresses the process of using CO2 for enhanced oil recovery technique (CO2-EOR) as driver to produce more oil from depleted oil reservoirs, while leading to effective CO2 abatement. Here, a simplified summary of this complex system through a lifecycle emission analysis is presented. This analysis is based on two concepts: (i) the Carbon Footprint of CO2-EOR, and (ii) the Principle of Additionality in CO2-EOR. The data used for this analysis comes from the Weyburn project in Saskatchewan, Canada. The international community has been discussing for some time if CO2-EOR projects should be considered for carbon credits. There are still questions of "additionality" that should be addressed before the net climate impact of storing CO2 in an EOR project is verified. Since CO2-EOR has gained considerable interest within the oil and gas industry due to its potential for increased oil production, it is important to use a real case data to probe if CO2-EOR is a viable CO2 abatement technology or if on the contrary, it may result in increased emissions. This study concludes that any emissions trading benefits from CO2 storing as part of a CO2-EOR project should be discounted according to a detailed analysis of the full cycle carbon balance using the principle of additionality. A key exception to this should be when a commercially viable CO2-EOR project results in the development of pipeline infrastructure which would also enable long term geological sequestration without EOR. In this way, CO2-EOR projects could play an important catalyst role in accelerating the deployment of CCS infrastructure. Finally a sensitivity analysis has indicated that the provision of petroleum tax breaks for CO2-EOR projects on the grounds of their emissions reduction potential is not the best use of public funds. This study provides guidance to whether or not CO2-EOR projects should be eligible for carbon credits as part of deployment of CCS processes. Also this study contributes by defining an appropriate framework for developing guidelines, standards, and/or best practice manuals for the permanent geological sequestration of carbon dioxide.

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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.185
Threshold uncertainty score0.552

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 integrity0.0000.000
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 head0.009
GPT teacher head0.229
Teacher spread0.220 · 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

Citations6
Published2010
Admission routes2
Has abstractyes

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