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Record W4252471219 · doi:10.2118/2004-125

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

2004· article· en· W4252471219 on OpenAlexaffabout
R.C.K. Wong, K.T. Chau

Bibliographic record

VenueCanadian International Petroleum Conference · 2004
Typearticle
Languageen
FieldEngineering
TopicHydraulic Fracturing and Reservoir Analysis
Canadian institutionsUniversity of Calgary
FundersHong Kong Polytechnic University
KeywordsCasingOil shaleShear (geology)Slip (aerodynamics)GeologyGeotechnical engineeringPetroleum engineeringMaterials sciencePetrologyEngineering

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 to casings and facilities if the deformation properties of the overburden are homogeneous without local drastic 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 semiempirical analytical method for estimation of 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 concern to 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 contain 30% of the world's recoverable oil1. 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 oresburied in deep overburden. In this steam-based recovery method, large volume steam at high temperatures and pressures (300oC and 10 MPa) is injected into the oil sand formation at depths of 400–450 m through wells in rows2, 3. Steam injection produces dilatation of oil sand reservoir due to 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 facilities4. Surface heave of up to 30 cm was recorded5.Overlain the oil sand formation are low-permeability clay shales forming an impermeable barrier to upward migration of injected fluid. Weak layers such as clay seam and natural horizontal fissures are commonly found in these shale formations6,7. These weak layers retain no tensile strength or low residual strength. Wong and Chau8 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 in oil sand reservoir leading to casing impairment or rupture. The main objectives of this study are (1) to investigate if such slip mechanism is admissible in natural weak layers confined by the competent overburden shale, and (2) to develop an analytical tool for prediction of such slip.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.289
Threshold uncertainty score0.828

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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)0.0000.000

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 head0.012
GPT teacher head0.224
Teacher spread0.212 · 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.

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

Citations3
Published2004
Admission routes2
Has abstractyes

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