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Record W71889771

Storage of oil sand waste in sub-surface salt caverns: a feasibility analysis based on experimental rock mechanics and geological setting

2013· dissertation· en· W71889771 on OpenAlexaboutno aff
Sander Osinga

Bibliographic record

VenueUtrecht University Repository (Utrecht University) · 2013
Typedissertation
Languageen
FieldEngineering
TopicDrilling and Well Engineering
Canadian institutionsnot available
Fundersnot available
KeywordsGeotechnical engineeringPetroleum engineeringRock mechanicsGeologySalt (chemistry)Mining engineeringEnvironmental scienceChemistry
DOInot available

Abstract

fetched live from OpenAlex

In order to reduce the environmental impact of heavy oil production operations in East-Central Alberta, hydrocarbon energy companies have been disposing production-related waste in solution mined sub-surface salt caverns. These caverns are situated in two bedded salt layers separated by approximately 150 m of mudstones and a thinner salt layer. In order to optimize well usage and improve project efficiency, two salt caverns per well are proposed, one in each salt formation. This study aims to provide a feasibility analysis for the proposed sub-surface storage based on a study of the geological setting combined with rock mechanical experiments. Analysis of the local and regional geology of the proposed cavern operation reveals a simple stratigraphy and tectonic stability. This implies that the project area is suitable for a salt cavern operation from a geological perspective. A total of 59 geomechanical laboratory experiments were performed on core samples to constrain the geomechanical properties of the formations involved in the salt cavern operation. These results were implemented in a FLAC3D (Fast Lagrangian Analysis of Continua in three dimensions) numerical model to investigate cavern stability, creep rates and surface subsidence. The results from this model imply that surface subsidence will be minimal (<12.1 mm over 50 years), shear stresses around the cavern will be low (<5MPa) and that failure will not occur.

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)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
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 score0.012
Threshold uncertainty score0.024

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.000
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 head0.006
GPT teacher head0.173
Teacher spread0.167 · 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 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

Citations1
Published2013
Admission routes1
Has abstractyes

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