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Record W2486692181 · doi:10.2118/06-12-02

Casing Impairment Induced by Shear Slip Along a Weak Layer in Shale Due to Fluid (Steam) Injection

2006· article· en· W2486692181 on OpenAlexaffabout
R.C.K. Wong, K.T. Chau

Bibliographic record

VenueJournal of Canadian Petroleum Technology · 2006
Typearticle
Languageen
FieldEngineering
TopicHydraulic Fracturing and Reservoir Analysis
Canadian institutionsUniversity of Calgary
FundersHong Kong Polytechnic UniversityUniversity of Hong Kong
KeywordsOil shaleGeologyOverburdenSlip (aerodynamics)Petroleum engineeringShear (geology)Geotechnical engineeringOil sandsSteam injectionAsphaltPetrologyMaterials scienceComposite material

Abstract

fetched live from OpenAlex

Abstract Thermal recovery processes such as cyclic steam stimulation and steam assisted gravity drainage involve large volume fluid and steam injection into oil sand reservoirs. Thermal expansion and dilatation of oil sand formation causes horizontal and vertical displacements in the overburden. These deformations may not exert detrimental effects on casings and facilities if the deformation properties of the overburden are homogeneous without drastic local variation along depth. However, if there exists some natural (clay seams) or induced weak layers (swollen and softened shale layer), shear slip could develop along these discontinuities, thereby impairing the nearby casings and facilities. This paper develops a semi-empirical analytical method for estimating the relative shear slip along a weak layer in shale due to fluid and steam injection. The magnitude of slip depends on the volume and distribution of fluid and steam injection, and the extent and location of the weak layer. Calculated results demonstrate that the shear slip along the weak layer could impose concerns regarding the steaming strategy and environmental protection. Introduction Heavy oil and bitumen are major energy resources in Canada, and have become a major focus for the oil and gas industry. The heavy oil deposits in Canada may contain about 30% of the world's recoverable oil(1). The challenge in developing this resource is the difficulty in recovering these highly viscous substances. Steam stimulation is one of the viable thermal recovery methods to extract bitumen from the oil sand ores buried in deep overburden. In this steam-based recovery method, a large volume of steam at high temperatures and pressures (300 °C and 10 MPa) is injected into the oil sand formation at depths of 400 ? 450 m through wells placed in rows(2, 3). Steam injection produces dilatation of an oil sand reservoir due to an increase in pore pressure and thermal expansion of the reservoir. Because oil sands are dense, uncemented sands, the resulting deformation induced during the recovery process could be excessive and detrimental to surface and subsurface facilities(4). Surface heave of up to 30 cm has been recorded(5) in some facilities. Overlaying the oil sand formation are low-permeability clay shales forming essentially an impermeable barrier to upward migration of the injected fluid. Weak layers such as clay seams and natural horizontal fissures are commonly found in these shale formations(6, 7). These weak layers retain no tensile strength or low residual strength. Wong and Chau(8) investigated the potential of propagation of these weak fractures in shale due to steam injection. They found that the propensity for occurrence of tensile and shear fracturing in discontinuous shale is low because the high overburden stresses are sufficient to limit the fracture initiation process. However, one of the potential geomechanics-related problems is if shear slip occurs along these weak layers due to fluid injection into the oil sand reservoir leading to casing impairment or rupture. The main objectives of this study are to:investigate if such a slip mechanism is admissible in natural weak layers confined by the competent overburden shale;

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: Bench or experimental · Consensus signal: Bench or experimental
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 science0.0000.000
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 head0.005
GPT teacher head0.196
Teacher spread0.191 · 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 designBench or experimental
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

Citations9
Published2006
Admission routes2
Has abstractyes

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