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Record W1977757270 · doi:10.2118/158503-ms

The Evaluation of Open-hole Completions for Steam-Assisted Gravity Drainage Wells In a Heavily Karsted and Fractured Carbonate Formation

2012· article· en· W1977757270 on OpenAlexaff
Stephen E. Arseniuk, Jeff Peterson, Kent R. Barrett, Queena Chou

Bibliographic record

VenueSPE Heavy Oil Conference Canada · 2012
Typearticle
Languageen
FieldEngineering
TopicHydraulic Fracturing and Reservoir Analysis
Canadian institutionsLaricina Energy (Canada)
Fundersnot available
KeywordsSteam-assisted gravity drainageGeologyBoreholePetroleum engineeringDrillingCompletion (oil and gas wells)CarbonateOil sandsSteam injectionAsphaltCarbonate rockMining engineeringGeochemistryGeotechnical engineeringEngineeringSedimentary rockArchaeology

Abstract

fetched live from OpenAlex

Abstract The Upper Devonian Grosmont Formation, located in the West Athabasca Oil Sands Deposit, contains an estimated 406 billion barrels of bitumen. The reservoir is a heavily karsted and fractured, bitumen-saturated carbonate. Initial thermal horizontal well development is currently underway in this resource. These horizontal wells have similar logistics, well construction and materials challenges to those in the McMurray Formation. Laricina has been actively developing the Grosmont Formation. Production from the pilot began in 2011 and many lessons have been learned. The next phase of development is a 10,700 bbl/day commercial project scheduled for first steam in 2014. The Grosmont, despite many drilling challenges such as severe lost circulation, also provides many opportunities not typically achievable in clastic oil sands developments. Carbonate rock is typically a good candidate for open-hole completions due to its geomechanical properties. This paper will discuss the geomechanical investigation evaluating borehole stability during drilling and completion, steam injection and production operations.

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)0.001
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: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.506
Threshold uncertainty score0.716

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.042
GPT teacher head0.284
Teacher spread0.242 · 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 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

Citations0
Published2012
Admission routes1
Has abstractyes

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