MétaCan
Menu
Back to cohort
Record W2981622845 · doi:10.4095/297727

3D hydrostratigraphic modelling of the Paleozoic bedrock of southern Ontario

2016· report· en· W2981622845 on OpenAlexaffabout
T R Carter, F R Brunton, Jocalyn Clark, L Fortner, A P Hamblin, C Logan, H A J Russell

Bibliographic record

Venuenot available
Typereport
Languageen
FieldEarth and Planetary Sciences
TopicGeological Modeling and Analysis
Canadian institutionsNatural Resources Canada
Fundersnot available
KeywordsBedrockPaleozoicGeologyPaleontologyGeomorphologyArchaeologyGeography

Abstract

fetched live from OpenAlex

The Geological Survey of Canada, the Ontario Geological Survey, the Ministry of Natural Resources and Forestry and the Ontario Oil, Gas and Salt Resources (OGSR) Library have initiated a cooperative project to create a regional 3D model of the layered Paleozoic bedrock strata of southern Ontario, and the occurrence of water within these strata. A wealth of data are available, including digital records from 400,000 water wells that penetrate the bedrock, nearly 27,000 petroleum wells records, and approximately 300 stratigraphic boreholes in shallow bedrock formations completed by the Ontario Geological Survey. Petroleum well records are the key data source for the model, with data already coded in an Oracle relational database with geographic coordinates and elevation data for all wells. There are depth and elevation values for nearly 600,000 formation tops and over 35,000 water interval records with information on water type, depth interval and static level. A significant number of QC edits has greatly improved accuracy and reliability of this data set since 2001, with further improvements to be funded by the GSC as part of this project. Also available are compositional analyses for over 1000 samples of produced water from petroleum wells, isotopic and compositional analyses for 130 samples of deep to intermediate groundwater, 89 water type maps and 17 static level maps for deep groundwater aquifers, and field observations from springs, quarries, road cuts, outcrops, well testing, and drill core examinations. The model will incorporate and build on a published regional 2D conceptual model of groundwater systems in the bedrock of southern Ontario, documenting a hydrochemical zonation of water by depth into a shallow fresh water system, an intermediate sulphur water system and a deep brine system. Hydrostratigraphic units in the southern Ontario bedrock are known to cross formational boundaries. Hydrostratigraphic units also change character laterally, within the same formation, due to facies changes, diagenetic modification, faulting and, of particular significance in southern Ontario, karstification of carbonate or evaporite strata at unconformities. Paleokarst horizons are known to be a key geological control on aquifers in the bedrock. Modelling of this inhomogeneity is a complex technical and conceptual task and will comprise an iterative process of modelling, QA/QC data review and editing, and critical geological appraisal. Final products will be co-released by GSC and the OGS with access via the OGSR Library website, and will include a 3D model in both Leapfrog and ESRI ArcGIS formats, a 2D conceptual hydrostratigraphic model, and improvements in data quality and accuracy in the petroleum well database. Numeric groundwater flow modelling is beyond the scope of this project but the static model will support dynamic modelling. Target date for project completion is mid to late 2018.

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 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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.552
Threshold uncertainty score0.995

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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)0.0060.000

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 head0.054
GPT teacher head0.210
Teacher spread0.155 · 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 teacher head, not a consensus.

Study designSimulation or modeling
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

Citations0
Published2016
Admission routes2
Has abstractyes

Explore more

Same topicGeological Modeling and AnalysisFrench-language works237,207