Data Mining Seismic Shothole Drillers’ Log Records: Regional Baseline Geoscience Information in Support of Pipeline Proposal Design, Assessment, and Development
Bibliographic record
Abstract
Assessment and development of pipeline projects in northern Canada, such as the proposed Mackenzie Valley gas pipeline (MGP), are hampered by a lack of baseline terrain geoscience information including drift thickness, sediment type, presence of massive ground ice, and the availability of granular aggregate resources. Clearly there is a need by Industry, Regulators, Aboriginal groups, and others, to understand the nature and character of near-surface earth materials, in order that pipeline proposals can be properly developed, evaluated, and when approved, proceed with the greatest degree of environmental sustainability and economic efficiency. While numerous field-based reports and surficial geology maps have been prepared for the MGP, there are long stretches along the proposed route for which little near-surface geoscience information is available. This is even more apt for areas outside the defined MGP corridor, where the likelihood of tie-in and gathering pipeline systems exist. Drillers’ logs, recorded during auger drilling of seismic shotholes, represent a virtually untapped resource of regional baseline geoscience information. The Geological Survey of Canada recently produced a digital archive of 76,000 shothole records from the Northwest Territories and Yukon, which had originally been collected on file cards in response to the 1970’s MGP proposal. Released in 2007 as a freely downloadable Open File report (#5465), the archive provides users with an Access database of drillers’ logs and derivative GIS maps in which shapefiles of drift isopach thickness, potential granular aggregate resources, geohazards, permafrost and ground ice occurrences, and muskeg thickness can be opened, viewed, and queried, or otherwise incorporated into GIS platforms of the user’s choice. Realizing the amount of additional archival shothole information held by Industry, and the great utility of bringing this forth in a public database and derivative GIS, a subsequent project has focused on capturing and integrating additional data. Receiving near-universal support by the Petroleum Industry, a Version 2 of the database and GIS is currently being assembled, and is scheduled for release in 2009 with some quarter million individual shothole drillers’ records. This presentation highlights the nature, character and distribution of shothole drillers’ logs in northern Canada. It also reviews the derived GIS layers, and how this baseline geoscience information can be beneficially utilized by the Pipeline and related infrastructure development industries, particularly as it may apply to focusing future field studies. It also serves as a key reference tool for those assessing pipeline development proposals.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.011 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.015 | 0.019 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.003 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".