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Record W2238378642 · doi:10.4095/212715

Heavy oil accumulations in the Jeanne d'Arc Basin: a case study in the Hebron, Ben Nevis, and West Ben Nevis oil fields

2001· report· en· W2238378642 on OpenAlexaff
John Shimeld, P N Moir

Bibliographic record

Venuenot available
Typereport
Languageen
FieldEngineering
TopicHydrocarbon exploration and reservoir analysis
Canadian institutionsNatural Resources Canada
Fundersnot available
KeywordsArc (geometry)Structural basinGeologyOceanographyGeomorphologyEngineering

Abstract

fetched live from OpenAlex

The possibility of encountering heavy oil (gravity less than or equal to 25 degree API) has generally been perceived as a significant risk to hydrocarbon exploration in the Jeanne d'Arc Basin, a risk that is heightened by the lack of comprehensive published information on the subject. Hence, the processes responsible for heavy oil in the basin are evaluated in this report through integration of a broad range of studies, primarily focussing on the data-rich Hebron, Ben Nevis, and West Ben Nevis oil fields. Compilation of new and previously published geochemical data demonstrates that biodegradation is the principal cause of heavy oil discovered in the basin to date, although early generation of heavy oil from sulphur-rich source rocks is suspected in a small number of cases. The main factors controlling biodegradation through time are reservoir temperature, access to nutrients, salinity, hydrogen sulphide concentration, and the relative timing of key events such as hydrocarbon generation and charging of the reservoirs. Other causes of heavy oil are possible, but tend to be localized phenomena that are difficult to evaluate quantitatively given the current level of information. When evaluating the processes that may have led to biodegradation, events of the mid-Turonian ( about 90.5 Ma) prove to be very important. By this time, as confirmed by organic petrology and fluid inclusion studies, the major reservoirs of the Ben Nevis and earlier formations had been deposited and had received a significant charge of hydrocarbons. The spatial distribution of paleotemperature, investigated both through forward modelling of basin processes and through inverse modelling of apatite fission track data, was favourable for biodegradation in every reservoir that is known to contain biodegraded oil (i.e., temperature was greater than 60 degrees C). Also, seismic nterpretation reveals that significant erosion and possibly karstification occurred during the mid-Turonian. Indeed, with the exception of King's Cove A-26, the Petrel member is less than 20 m thick in every well that encountered biodegraded oil. In certain portions of the basin the Petrel Member and underlying Nautilus Shale, which are conventionally considered seals, may have been breached by circulating meteoric water that supplied nutrients to the oil-bearing reservoirs. Together, these observations form a template for evaluating the risk of biodegradation that can be applied quantitatively, after appropriate refinement of the models, to areas of the Jeanne d'Arc Basin that are outside the study area or to post-Petrel reservoirs. Several results are of broader interest. In particular, fluid inclusion and geochemical evidence suggest two distinct pulses of oil entered Ben Nevis Formation reservoirs. Possibly related to this, apatite fission track analysis indicates that rapid heating during the Early Cretaceous was followed by a period of significantly cooler temperatures between approximately the Aptian and Eocene and then by renewed heating that continues to the present-day. Further work is necessary to explore the significance of these results.

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: Empirical · Consensus signal: Empirical
Teacher disagreement score0.334
Threshold uncertainty score0.664

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 studies0.0010.001
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0010.000
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 head0.056
GPT teacher head0.310
Teacher spread0.254 · 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

Citations2
Published2001
Admission routes1
Has abstractyes

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