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Record W7133437232

Effects of Thawing Permafrost on Legacy Industrial Sites in the Arctic – Insights from Drilling Mud Sumps in the Mackenzie Delta

2025· other· W7133437232 on OpenAlexaboutno aff
Verena Bischoff, Juliane Wolter, Hugues Lantuit, Moritz Langer, Jens Strauß, Jan Schwarzbauer

Bibliographic record

VenueHelmholtz-Zentrum für Polar-und Meeresforschung (Alfred-Wegener-Institut) · 2025
Typeother
Language
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsPermafrostThermokarstDrillingArcticDeltaWellheadDrilling fluidSoil water
DOInot available

Abstract

fetched live from OpenAlex

The thawing of permafrost-affected soils puts infrastructure and industrial sites at risk. In the Canadian Arctic, the long-term stability of permafrost was historically relied upon to contain drilling waste. During decades of oil and gas exploration activities from the 1960s to the early 2000s, drilling fluids and cuttings were often buried on site adjacent to the wellhead and covered with excavated material. More than 200 of these sites, called drilling mud sumps, have been documented in the Mackenzie Delta and Arctic Islands in the Northwest Territories [1]. With rapidly increasing air temperatures, the seasonally thawing active layers of permafrost soils are deepening [2]. Drilling fluid additives, such as salts, may act as freezing-point depressants and further contribute to permafrost degradation [3]. Consequently, many sumps now show signs of structural failure, including cracking and subsidence of the sump caps, often followed by water ponding [1,4]. The ability of permafrost to act as a hydrological barrier to contain the drilling waste may be diminished. As the volume of drilling mud buried at each site, as well as its chemical composition and properties, are poorly documented [1], there is considerable uncertainty regarding potential environmental consequences. This study analyzes soil samples from seasonally unfrozen and perennially frozen soil horizons on the sump cover and in the surrounding area at four sumps close to the Inuvik-Tuktoyaktuk Highway. Extraction using acetone and n-hexane was enhanced via ultrasonication and dispersion techniques. Further fractionation of the extracts enabled the identification and quantification of distinct compounds using gas chromatography coupled with single-quadrupole mass spectrometry (GC-MS). A comprehensive non-target screening was performed using the XcaliburTM Software linked to the NIST library. The aim of the study is to identify potential contamination of soils related to the historical use and disposal of drilling fluids during oil and gas exploration activities. We further aim to assess the vertical and lateral dispersion of organic contaminants in the unique setting of permafrost-affected soils. Preliminary results indicate that soil contamination at the sites is dominated by polycyclic aromatic compounds (PACs) and heterocyclic aromatic compounds (NSO-PACs) of petrogenic origin. Concentration patterns suggest that petroleum hydrocarbons have migrated upwards into the active layer of the sump cover material. Concentrations in the active layer are generally highest directly above the permafrost table. Contaminant concentrations decline in soils downslope of the sites, suggesting limited lateral movement of the identified compounds through active layers.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.761
Threshold uncertainty score0.475

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0020.001
Scholarly communication0.0010.000
Open science0.0000.001
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 head0.024
GPT teacher head0.274
Teacher spread0.250 · 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
GenreOther

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
Published2025
Admission routes1
Has abstractyes

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