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Record W2043549562 · doi:10.2118/2000-085

Bore-Hole Stability in Oil Sand Under Drilling

2000· article· en· W2043549562 on OpenAlexaffabout
R.C.K. Wong, K.C. Yeung

Bibliographic record

VenueCanadian International Petroleum Conference · 2000
Typearticle
Languageen
FieldEngineering
TopicDrilling and Well Engineering
Canadian institutionsSuncor Energy (Canada)University of Calgary
FundersU.S. Department of Energy
KeywordsDrillingCitationBoreholePetroleumHydrostatic pressurePetroleum engineeringGeotechnical engineeringGeologyMining engineeringEngineeringLibrary scienceMechanical engineeringComputer sciencePhysicsPaleontology

Abstract

fetched live from OpenAlex

Abstract Holes were drilled in natural oil sand and reconstituted oil-free sand cores mounted inside a specially designed triaxial cell to investigate the borehole stability under hydrostatic loading. Tests involving hot water circulation inside the drilled hole were conducted to explore the effect of thermal heating and erosion on the bore-hole deformation. In addition, bitumen was removed from the oil sand matrix using chemical solvent extraction to study any reduction in strength. The deformation and failure of the hollow oil sand cylinders were monitored and studied using computer tomography scanning method. Introduction Geotechnical properties of oil sands have been studied extensively in the past two decades (e.g., Dusseault and Morgenstern 1978; Agar et al. 1987; Kosar 1989; Wong et al. 1993; Samieh and Wong 1997). However, most of the previous research were performed based on element (triaxial compression) tests in which the stress-strain properties were determined (e.g., Dusseault and Morgenstern 1978; Vaziri 1986; Wan et al. 1991; Samieh and Wong 1998). Few attempts seem to have been made to conduct special tests simulating stress paths encountered in drilling. It is not possible to evaluate the validity of these stress-strain models. In drilling horizontal well in oil sand the drilling mud temperature may rise to a value of about 30–40 °C higher than the ambient reservoir temperature (Knoll and Yeung 1999). To reduce the risk of bore-hole instability which may cause problem during the installation of liners, liquid nitrogen, dry ice and commercial chilling unit have been used to cool off the drilling mud temperature at surface. This cooling procedure increases costs significantly in a commercial development. There is no reported study on the effect of elevated temperature on bore-hole stability in oil sand during drilling. Does the reduction of the bitumen viscosity due to heating increase the pore pressure diffusion rate triggering the collapse? This paper presents results of deformation behavior of oil sand around a drilled hole subjected to hydrostatic loading, hot water circulation action and chemical solvent extraction. The behaviour were studied using computer tomography (xray) imaging method. Though the interpretation of the testing results is complex, the testing results provide critical insight into the bore-hole stability phenomenon in oil sand under drilling. The main objective of the paper is to analyze the deformation characteristics of oil sand around a drilled hole under drilling environments. In addition, we assessed the validity of the existing oil sand stress-strain model for prediction and analysis of the results observed in the special hollow cylinder tests. TESTING MATERIAL AND PROCEDURE The oil sand cores for this experimental study were recovered at a depth of 424 m from an observation well (3-66-4-3W4M) at a site near Cold Lake, Alberta. Core sampling was carried out using a conventional rotary core barrel of 89 mm inside diameter. Cores recovered were frozen at site and kept inside PVC tubes in a freezer. Prior to any testing, the frozen cores were x-rayed for sample selection. The testing equipment used in this study consisted of a standard plexiglass triaxial cell with some modifications.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.998
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.001
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 head0.013
GPT teacher head0.199
Teacher spread0.186 · 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

Citations0
Published2000
Admission routes2
Has abstractyes

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