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Synergy of Analytical Approaches Enables a Robust Assessment of the Brazil Mystery Oil Spill

2022· article· en· W4286203188 on OpenAlexaff
Christopher M. Reddy, Robert K. Nelson, Ulrich M. Hanke, Xingqian Cui, Roger E. Summons, David L. Valentine, Ryan P. Rodgers, Martha L. Chacón‐Patiño, Sydney F. Niles, Carlos Eduardo Peres Teixeira, Luís Ernesto Arruda Bezerra, Rivelino Martins Cavalcante, Marcelo de Oliveira Soares, André H.B. Oliveira, Helen K. White, Robert F. Swarthout, Karin L. Lemkau, Jagoš R. Radović

Bibliographic record

VenueEnergy & Fuels · 2022
Typearticle
Languageen
FieldChemistry
TopicPetroleum Processing and Analysis
Canadian institutionsUniversity of Calgary
FundersCoordenação de Aperfeiçoamento de Pessoal de Nível SuperiorConselho Nacional de Desenvolvimento Científico e TecnológicoFlorida State UniversityFundação Cearense de Apoio ao Desenvolvimento Científico e TecnológicoAlexander von Humboldt-StiftungDivision of ChemistryFlorida Department of StateNational Science Foundation
KeywordsFourier transform ion cyclotron resonancePetroleumSubmarine pipelineSource rockGeologyEnvironmental scienceOceanographyMass spectrometryChemistryPaleontologyStructural basinChromatography

Abstract

fetched live from OpenAlex

From August 2019 to June 2021, viscous oil residues appeared along the Brazilian coast spanning 11 states and more than 3,000 km of tropical shoreline. Forensic results published to date indicate that the majority of oil samples collected share a common origin, yet the exact source of the mystery oil has yet to be conclusively determined. The proposed sources include illegal discharges from vessels traversing near, within, or downstream of Brazilian waters, leaking offshore platforms, natural seeps, and historic shipwrecks. To constrain the potential sources of oil and provide additional insights into the composition of the oil, we analyzed samples collected from the Ceará state coastal zone in 2019 with a broad suite of geochemical tools and approaches. These approaches included bulk elemental analyses and state-of-the-art analytical platforms including comprehensive two-dimensional gas chromatography (GC × GC), gas chromatography with triple-quadrupole mass spectrometry, and Fourier transform ion cyclotron resonance mass spectrometry. Based on bulk and molecular features, field samples collected from northeast Brazil share the same source as other 2019 mystery oil samples collected over ∼2400 km to the south. A shared source across the Brazilian coast points to an input location east of Brazil within the southern branch of the South Equatorial Current, allowing transport both north and south of the bifurcation. The relative abundance and composition of diagnostic markers were consistent with the published analyses of Venezuelan petroleum. The composition of the field samples is consistent with the blending of, at least, two different petroleum products, a common practice to produce an “on spec” product such as a fuel oil used to power an underway vessel. The two components appear to be the residuum from atmospheric distillation and a thermally altered, aromatics-rich, nondistilled material. To the best of our knowledge, no samples from potential sources are available for a direct comparison to field samples. Hence, these results play a supporting role in determining the source, and benefit efforts to understand short- and long-term weathering and recovery.

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: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.148
Threshold uncertainty score0.863

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.025
GPT teacher head0.242
Teacher spread0.217 · 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

Citations55
Published2022
Admission routes1
Has abstractyes

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