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Record W2047578187 · doi:10.2118/2002-236

Re-Pressurization of the Gas Zone Above a SAGD Project: Is There Potential for Carbon Dioxide Sequestration?

2002· article· en· W2047578187 on OpenAlexaboutno aff
H.F. Thimm

Bibliographic record

VenueCanadian International Petroleum Conference · 2002
Typearticle
Languageen
FieldEnvironmental Science
TopicMethane Hydrates and Related Phenomena
Canadian institutionsnot available
Fundersnot available
KeywordsCabin pressurizationCarbon dioxideCarbon sequestrationPetroleum engineeringEnvironmental scienceWaste managementGeologyMaterials scienceChemistryEngineeringComposite material

Abstract

fetched live from OpenAlex

Abstract In an earlier paper, it has been shown that both the GOR and the composition of produced gases in a SAGD project may be calculated from first principles by considering the solubility of gases in the produced fluids. A simulated production forecast from an Athabasca property is used to calculate the gas production characteristics for three cases; (a) original cap gas at virgin pressure: (b) cap gas replaced at the same pressure with carbon dioxide; and (c) cap gas replaced with flue gas from the steam generator. Comparison of the three cases shows that case (b) and (c) are accompanied with gas production containing significantly higher fractions of the re-pressurization gases, carbon dioxide and/or nitrogen, than case (a). The presence of the non-combustible gases introduces a thermal inefficiency if the normal practice of directing produced gases to the steam generator is followed. The effect of this inefficiency is calculated by estimating flame temperature for combustion of gas from case (a), and comparing with the other two cases. The inefficiency is then corrected by adding make-up gas to the gas from case (b) and (c), until the flame temperature is identical to that of case (a). The potential for sequestration of the greenhouse gas CO2 is then considered in terms of initial CO2 injected, cumulative CO2 produced back and CO2 formed by combustion of make-up gas. The predicted overall utility of depressurized zones for sequestration purposes is discussed. Introduction In Alberta, the Energy and Utilities Board has found that a resource conflict exists between production of bitumen and overlying gas in the McMurray formation. For the Athabasca oil sands deposit the Board has already ordered the cessation of drilling for gas reserves, and shut in existing gas production in the Surmont area. At the time of writing, further resource conflict hearings are in progress. Accordingly, there has been interest in the possibility of repressurization of depleted gas caps, such that bitumen recovery could still follow gas production. In view of recent concerns about reductions of emissions of the so-called "greenhouse gases", attention has turned to the potential for sequestration of locally available carbon dioxide or flue gases for the purpose of achieving the repressurization. In a recent paper, a predictive capability of gas production from production projects using Steam Assisted Gravity Drainage (SAGD) technology was Described1. The concept employed in such predictions is that produced gases from SAGD are not normally produced by free gas entering the producing wellbore, but by gases dissolved in the produced fluids. The Henry's Law constants for the important gases in water, and to a lesser extent bitumen, are known under the prevailing conditions of temperature and pressure, and are given in reference 1. If one assumes that either carbon dioxide or flue gas is injected into the gas zone after 90% depletion of the gas, and since SAGD always produces methane, carbon dioxide and smaller amounts of hydrogen sulphide, it is possible, with the aid of a bitumen production forecast from a simulator, to predict the composition and gas: oil ratio (GOR) of the produced gases and so obtain a carbon dioxide balance for such a repressurization scheme.

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: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.593
Threshold uncertainty score0.997

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)0.0040.000

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 head0.016
GPT teacher head0.220
Teacher spread0.204 · 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 designSimulation or modeling
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
Published2002
Admission routes1
Has abstractyes

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