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Record W2065529522 · doi:10.2118/0309-0080-jpt

Integrated CO2 Pilot in France: Potential Answer to CO2 Mitigation in Bitumen Production

2009· article· en· W2065529522 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
KeywordsSteam-assisted gravity drainageOil sandsEnvironmental scienceGreenhouse gasAsphaltWaste managementNatural gasCombustionRenewable energyFossil fuelEnhanced oil recoveryPetroleum engineeringElectricity generationEngineeringGeologyPower (physics)

Abstract

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This article, written by Senior Technology Editor Dennis Denney, contains highlights of paper SPE 117600, "The Integrated CO2 Pilot in the SW of France (Oxy com bustion and Geological Storage): A Potential Answer to CO2 Mitigation in Bitumen Production," by Nicolas Aimard and Claude Prebende, Total, and Denis Cieutat, Ivan Sanchez-Molinero, and Remi Tsiava, Air Liquide, prepared for the 2008 SPE International Thermal Operations and Heavy Oil Symposium, Calgary, 20-23 October. The paper has not been peer reviewed. Development of extraheavy-oil (EHO) fields in Alberta requires much more processing and energy than for conventional oil. The amount of associated greenhouse-gas emissions could be large, and operators are seeking options to reduce them. Carbon capture and geological storage (CCGS) appears to be the most promising option in addition to power-efficiency increase and use of renewable or alternative energies. Oxycombustion could have advantages over post-combustion for CO2 capture in terms of energy efficiency for steam generation. Introduction Oil-sands-production and -processing schemes in Alberta require massive quantities of energy.Steam for use in steam-assisted gravity-drainage (SAGD) projects or for the separation of sand/bitumen extracted from miningElectricity for the water-treatment units, pumping units, separation and treatment units, and other usesHeat for treating and upgrading the produced bitumen (in particular the steam/methane reformer for hydrogen production) To produce these utilities, natural gas is burned, and thermal equipment (i.e., boilers, gas turbines, and furnaces) will generate large quantities of CO2 in the exhaust. To compare this bitumen production with other oil extraction, the ratio of the quantity of CO2 generated per barrel of produced bitumen (extraction and upgrading) is used. To produce synthetic crude oil, acceptable by conventional refineries, eight times more CO2 would be emitted through production mining (or 12 times more through SAGD) than for the extraction of conventional oil. The objective is to design facilities with the highest-possible energy efficiency. Beyond that, CO2 capture/storage would reduce CO2 emissions dramatically. The facilities must be "capture ready" (i.e., designed with the ability to integrate CO2-capture equipment). Captured CO2 then would be transported under pressure by pipeline to geological storage sites. In Alberta, potential storage sites are deep saline formations, depleted reservoirs, and enhanced-oil-recovery projects in mature oil fields. In 2006, Total launched an integrated CCGS project in southwest France, near Lacq. A drum boiler was converted into an oxycombustion unit (i.e., oxygen is used for combustion rather than air to obtain a more-concentrated CO2 stream, thus facilitating its capture). The pilot plant will produce approximately 40 tonnes/h of steam for use in other facilities and will emit up to 120 000 tonnes of CO2 over a 2-year period. The CO2 stream then will be treated, compressed, and conveyed by pipeline to the depleted gas field, Rousse, 30 km away, where it will be injected into a deep carbonate reservoir, as shown in Fig. 1.

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 score0.750
Threshold uncertainty score0.469

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
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 head0.006
GPT teacher head0.239
Teacher spread0.234 · 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

Citations1
Published2009
Admission routes1
Has abstractyes

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