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Record W1996736138 · doi:10.1016/j.egypro.2011.02.333

Quantifying CO2 pore-space saturation at the Pembina Cardium CO2 Monitoring Pilot (Alberta, Canada) using oxygen isotopes of reservoir fluids and gases

2011· article· en· W1996736138 on OpenAlexafffundabout
Gareth Johnson, Bernhard Mayer, Maurice Shevalier, Michael Nightingale, Ian Hutcheon

Bibliographic record

VenueEnergy Procedia · 2011
Typearticle
Languageen
FieldEnvironmental Science
TopicCO2 Sequestration and Geologic Interactions
Canadian institutionsUniversity of Calgary
FundersNatural Resources CanadaWestern Economic Diversification CanadaGovernment of AlbertaUniversity of CalgaryUniversity of Pennsylvania
KeywordsSaturation (graph theory)Isotopes of oxygenSolubilityCharacterisation of pore space in soilStable isotope ratioEnhanced oil recoveryIsotopeChemistryOxygen-18Isotope-ratio mass spectrometryMineralogyGeologyPetroleum engineeringGas chromatographyChromatographyNuclear chemistry

Abstract

fetched live from OpenAlex

Geochemical and isotopic monitoring allows determination of CO 2 presence in the subsurface through the sampling of produced fluids and gases at production and/or monitoring wells. This is demonstrated by data from 22 months of monitoring at the Pembina Cardium CO 2 Monitoring Pilot in central Alberta, Canada. Eight wells centered around two CO 2 injectors were sampled monthly between February 2005 and February 2007. Stable isotope analyses of the samples revealed that changes in the δ 13 C CO 2 values in produced gas as well as changes in the δ 18 O values of the produced fluids indicate CO 2 presence and identify trapping mechanisms at select production wells. Using equilibrium isotope exchange relationships and CO 2 solubility calculations, fluid and gas saturations in the pore space in excess of that occupied by oil were calculated. We demonstrate that stable isotope measurements on produced fluids and gases at the Pembina Cardium CO 2 storage site can be used to determine both qualitatively and quantitatively the presence of CO 2 around the observation well, given that the injected CO 2 is isotopically distinct.

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 score0.067
Threshold uncertainty score0.378

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 head0.051
GPT teacher head0.251
Teacher spread0.200 · 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
Published2011
Admission routes3
Has abstractyes

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