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Pyrolytically Derived Polycyclic Aromatic Hydrocarbons in Marine Oils from the Tarim Basin, NW China

2015· article· en· W2297138529 on OpenAlexaff
Haiping Huang, Shuichang Zhang, Jin Su

Bibliographic record

VenueEnergy & Fuels · 2015
Typearticle
Languageen
FieldEngineering
TopicHydrocarbon exploration and reservoir analysis
Canadian institutionsUniversity of Calgary
FundersPetroChina Company LimitedChina National Petroleum CorporationNational Natural Science Foundation of China
KeywordsFluorantheneSource rockEnvironmental chemistryAnthraceneIsotopes of carbonGeologyGeochemistryPhenanthreneChemistryEnvironmental scienceTotal organic carbonStructural basinPaleontologyOrganic chemistry

Abstract

fetched live from OpenAlex

Polycyclic aromatic hydrocarbons (PAHs) in oils from the cratonic region of the Tarim Basin have been characterized by gas chromatography–mass spectroscopy to investigate their origins and geochemical applications. PAHs dominated by unsubstituted components together with pyrolytically derived components such as anthracene, fluoranthene, benzoanthracene, benzofluoranthenes and benzopyrenes occur in some oils represented by those from well TD2. The widespread spatial and temporal occurrence of igneous activity within the Palaeozoic succession in the Tarim Basin makes the derivation of the latter PAHs from pyrolytic sources probable. Exposure to high temperatures results in the pyrolysis of the oil reservoir, adding high-temperature aromatic artifacts to the oil. Geochemical measurements show the wide occurrence of mixing processes between pyrolytically derived PAHs and diagenetically derived hydrocarbons. Good preservation of pyrolytic PAHs in oils from well TD2 and a few other wells is because they are less affected by late charge and dilution processes. However, these pyrolytically derived PAHs in conjunction with the bulk carbon isotopic compositions have been commonly misinterpreted in oil-source correlations. Only oils from well TD2 and a few other wells have been correlated to the Cambrian source rocks because of the wrong selection of end members. When the effects from the rapid heating of organic material by magmatic intrusions and/or hydrothermal fluid activity are properly accounted for, confusion in oil-source correlations may potentially be resolved and the contribution from the Cambrian strata can appropriately be assessed.

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: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.446
Threshold uncertainty score0.771

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.012
GPT teacher head0.208
Teacher spread0.196 · 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 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

Citations46
Published2015
Admission routes1
Has abstractyes

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