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Record W2054068192 · doi:10.1071/aseg2001ab099

Buffalo Oil Field – Geophysical Success Under Big Bank

2001· article· en· W2054068192 on OpenAlexaff
Brenton Oke, M. A. Stanley, Tony Slate, Paul Begg

Bibliographic record

VenueASEG Extended Abstracts · 2001
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicSeismic Imaging and Inversion Techniques
Canadian institutionsNexen (Canada)
Fundersnot available
KeywordsGeologySeismologySeafloor spreadingOil fieldCarbonateGeophysical imagingGeophysicsPaleontology

Abstract

fetched live from OpenAlex

The Buffalo Oil Field is located in Production Licences WA-19-L and WA-21-L in the Bonaparte Basin, approximately 300 km off the coast of northern Western Australia. The discovery well, Buffalo-1, was drilled in September 1996 and encountered a 45 metre oil column within sandstone reservoirs of the Callovian Elang Formation.The Top Elang boundary is typically very difficult to interpret on seismic data. Modelling has shown this boundary to have a Class II AVO response, i.e. where a polarity reversal of the seismic event occurs across the CMP gather, resulting in attenuation of the event during stacking.In addition to this fundamental geophysical problem, the Buffalo field underlies a seafloor carbonate bank ("Big Bank"), which rises from the seafloor, 300 m below sea level, up to a depth of 27 m below sea level. Interpretation of the underlying geology on conventionally processed seismic data is made very difficult by severe ray-path distortion from the steep sides of this bank and the large velocity contrast with the surrounding water. At top reservoir level the very poor seismic data quality is a consequence of poor signal penetration, poor reflectivity, faulting, multiples and severe imaging problems, which also give the reservoir section the appearance of being highly faulted.A 3D seismic survey was acquired in 1996 over the field, and a vast improvement in data quality and reliability was obtained through advanced processing techniques incorporating Wave Equation Datumming (WED). The remaining depth-structure uncertainty was quantified by a geological-model-based interpretation and mapping process to provide a range of realistic possible structural outcomes. A key assumption - that velocity changes across the field would be a relatively minor contributor to the depth uncertainty - was confirmed by development drilling results, which demonstrated the success of the WED method in removing most of the undesirable effects of the carbonate bank.This paper focuses on the WED processing and interpretation process which reduced the uncertainty of oil-in-place calculations for Buffalo to an acceptable level and allowed development of the field to proceed.

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)0.001
metaresearch head score (Gemma)0.002
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.273
Threshold uncertainty score0.542

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0030.002
Scholarly communication0.0020.001
Open science0.0010.002
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0120.002

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 head0.016
GPT teacher head0.235
Teacher spread0.218 · 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

Citations1
Published2001
Admission routes1
Has abstractyes

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