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Lineament analysis as a tool for hydrocarbon and mineral exploration: a Canadian case study

2010· article· en· W2533551554 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueASEG Extended Abstracts · 2010
Typearticle
Languageen
FieldComputer Science
TopicGeochemistry and Geologic Mapping
Canadian institutionsMcMaster University
Fundersnot available
KeywordsLineamentGeologyTerraneMineral explorationTectonicsHydrocarbon explorationGeologic mapGeophysicsGeomorphologyPetrologySeismology

Abstract

fetched live from OpenAlex

SummaryAn understanding of the geological framework and localized structural constraints are critical to hydrocarbon and mineral deposit exploration. Lineament tectonics has been used successfully to delineate global oil and ore deposits. Automated lineament routines are important to promote efficiency and consistency. We suggest an alternative approach to geophysical numerical methods. “Stream flow analysis” is commonly applied to topographic data to delineate stream locations, flow impact, and flow direction by identifying localized low points and their continuity on a topographic surface. In this study, we apply stream flow analysis to a “topographic” surface defined by aeromagnetic data, where faults and fractures are revealed since they are represented by magnetic lows. Conversely, magnetically high features, such as dykes, are delineated by changing the data set background value causing highs to be represented by lows. Furthermore, by constraining the dimensions of the “watershed” we are able to isolate linear features at multiple scales. Further analysis of stream segments involves direction /length studies, linearity analysis, and stream intersection points. Typically, geologic terranes will have a dominant fabric or fracture orientation due to the local tectonic history. Therefore if the linear directions are isolated along specific orientations, different geologic terranes are resolved. Ore deposits often occur along fracture systems since they act as a conduit for hydrothermal fluids. When multiple fractures culminate at a common intersection, the probability of mineralization increases. Thus, visualization of “stream intersection” points in conjunction with geophysical products will highlight exploration areas. These methodologies are applied to a study area in the Northwest Territories, Canada which has been shown to have high mineral potential and similar IOCG-type deposits as Olympic Dam in Australia.

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.

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: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.757
Threshold uncertainty score0.976

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 science0.0000.000
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 head0.018
GPT teacher head0.262
Teacher spread0.244 · 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