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Record W969497273

SAGD井的启动:历史拟合、井筒设计和操作

2009· article· zh· W969497273 on OpenAlexaboutno aff
张霞林, 马德胜

Bibliographic record

Venue国外油田工程 · 2009
Typearticle
Languagezh
FieldEngineering
TopicHydraulic flow and structures
Canadian institutionsnot available
Fundersnot available
KeywordsComputer science
DOInot available

Abstract

fetched live from OpenAlex

平稳的启动对SAGD的成功操作是至关重要的。对SAGD井对的启动或者说循环阶段通过数值模拟进行了分析。采用耦合油藏/井筒模型,并用井的现场数据进行了历史拟合,数据由Petro-Canada的MacKay River开发区块大量仪器测得。历史拟合模型后来用于(对井对循环有影响的)某些参数进行敏感性研究。首先,对两种典型的完井方式,蒸汽到达趾端的时间进行了研究,这两种方法是Petro-Canada在MacKay River所用的两种典型井筒完井方法。对这两种完井方式进行了大量的流动速度检验,以弄清蒸汽注入速度如何影响蒸汽到达趾端时间。其次,研究了循环压力和注入/生产井压力梯度。在注入/生产井间采用了不同的压力梯度,以检验其对循环持续时间和蒸汽锥进形成的影响。最后,对注入井和生产井间的距离进行了研究,目的是研究注入/生产井的垂向距离对转换时间的影响。

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.572
Threshold uncertainty score0.861

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.004
Science and technology studies0.0090.012
Scholarly communication0.0100.006
Open science0.0010.003
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0110.001

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 head0.005
GPT teacher head0.205
Teacher spread0.199 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreMethods

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
Published2009
Admission routes1
Has abstractyes

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