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Record W950978341

Weyburn油田平行水平井井间地震剖面:第一部分——规划与数据采集

2002· article· zh· W950978341 on OpenAlexaboutno aff
ErnestMajer, 闭金元

Bibliographic record

VenueActa Scientiarum Naturalium Universitatis Sunyatseni · 2002
Typearticle
Languagezh
FieldComputer Science
TopicSeismology and Earthquake Studies
Canadian institutionsnot available
Fundersnot available
KeywordsGeology
DOInot available

Abstract

fetched live from OpenAlex

作为综合性时延地震方案的一个主要内容,对Pan Canadian的Weyburn 油田薄层状裂缝碳酸盐岩油藏的大规模CO2注气进行监测,于2000年8月在注气前,成功地采集到了水平井井间地震测量的原始数据。该项目的目标是要推广可能追踪作为时间函数的CO2含量详细变化的技术以及证实地面地震数据(3分量和9分量三维)和三维VSP的监测效力(在相同的时间里做这两项工作)。这实现这一目标,用成本效果(分析)法和在一个产量限定的时窗内,结合作用压电震源挠性管和48级压敏检波器串的创新技术,在两口平行水平井进行了作业。所记录的资料展示了以很多有用波型组成的波场。处理结果表明,用压缩波(纵波)、剪切波(横波)和管道波导波的层析成像,对监测注CO2气的效应有较好效果。我们相信,这次在Weyburn作业的成功,向人们展现出井间地震技术的广泛应用前景。

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.135
Threshold uncertainty score0.269

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.003
Science and technology studies0.0060.009
Scholarly communication0.0080.010
Open science0.0010.003
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0130.001

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 head0.019
GPT teacher head0.209
Teacher spread0.190 · 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 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

Citations0
Published2002
Admission routes1
Has abstractyes

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