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Record W3034634942 · doi:10.3997/2214-4609.201951011

Capabilities of Two-Dimensional Gas Chromatography Analysis for Hydrocarbon Exploration and Development Tasks Based on the Bazhenov Formation Example

2019· article· en· W3034634942 on OpenAlexaff
Е. Leushina, Елена Козлова, Mikhail Spasennykh

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldChemistry
TopicAnalytical Chemistry and Chromatography
Canadian institutionsOptech (Canada)
Fundersnot available
KeywordsHydrocarbonGas chromatographyOrganic matterMass spectrometryMaturity (psychological)Fossil fuelChemistryIsotopeHydrogenChromatographyOrganic chemistry

Abstract

fetched live from OpenAlex

Summary In the work we demonstrate capabilities of two-dimensional gas chromatography with mass spectrometry (GC×GC-TOFMS) for study of oils and extractable organic matter from the Bazhenov formation deposits. For the studied Bazhenov oils we estimated the same marine source of initial organic matter; we have shown that 4/1-MDBT ratio, aliphatic compounds relative content and hydrogen isotope composition reflect the differences in maturity from the beginning up to the end of oil window zone. We applied molecular analysis of core extracts within one well cross-section to identify the interval that makes the largest contribution to the produced oil. GC×GC-TOFMS is modern analytical technique that finds wide range of applications for hydrocarbon exploration and development.

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)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.009
Threshold uncertainty score0.017

Distilled classifier scores by category (both heads)

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)0.0010.000

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 head0.022
GPT teacher head0.224
Teacher spread0.202 · 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 designBench or experimental
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
Published2019
Admission routes1
Has abstractyes

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