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Record W2030281446 · doi:10.2118/170879-ms

Carmon Creek Thermal Field Development Project

2014· article· en· W2030281446 on OpenAlexafffundabout
David Vannaxay, F. Wasden, Benjamin A. Howell

Bibliographic record

VenueSPE Annual Technical Conference and Exhibition · 2014
Typearticle
Languageen
FieldEngineering
TopicReservoir Engineering and Simulation Methods
Canadian institutionsShell (Canada)
FundersShell Canada
KeywordsSteam injectionEnvironmental sciencePetroleum engineeringWaste managementElectricity generationPetroleumAsphaltSteam-assisted gravity drainageProduced waterSteam drumLiquefied petroleum gasNatural gasEnvironmental engineeringOil sandsGeologyEngineeringMaterials scienceSuperheated steamBoiler (water heating)

Abstract

fetched live from OpenAlex

Abstract Carmon Creek is Shell's Heavy Oil In-Situ thermal field development project in Peace River, Alberta, Canada. The Peace River Lease contains some 10 billion barrels of bitumen in-place at a depth of 600 m with viscosity as high as 100,000 cP. The Carmon Creek Phase 1&2 facilities, targeting a subset of this resource, are planned to start-up in 2018 and include oil treatment at 80,000 bod, produced water recycling and steam generation at 50 kt/d and electricity from co-generation at 600 MW. Over the project life-cycle, approximately 7000 dedicated wells (injectors and producers) will be drilled. The Carmon Creek development concept is a combination of cyclic steam stimulation (CSS) and vertical steam drive (VSD) utilizing vertical and deviated wells in inverted 7-spot patterns at a well spacing of 115m (or 2.8 acres). Produced and imported gas is burnt to generate steam and electricity in co-generation facilities. Electricity is exported to market. After transfer of the thermal energy in the steam the bitumen viscosity is reduced sufficiently enabling production via conventional beam pumps. The produced emulsion is separated into gas, oil and water for treatment in the central processing facilities. Acid gas consisting CO2 and H2S is re-injected to deep disposal and the remaining treated produced gas burned in the co-generation facilities. Treated bitumen is mixed with diluents for pipeline export. Steam generation is fed by recycled water with excess water stored in a saline aquifer, which can be back-produced as needed. This paper provides an overview of the main aspects of the field development, the challenges related to project delivery for a mega-thermal development and the solutions that were selected to address these challenges.

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: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.734
Threshold uncertainty score0.413

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 head0.026
GPT teacher head0.276
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.

The models applied no category: nothing in the taxonomy fit this work.
Study designOther design
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

Citations2
Published2014
Admission routes3
Has abstractyes

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