Effect of Thermally Induced Deformation of Shale on Wellbore and Caprock Integrity
Bibliographic record
Abstract
Abstract During thermal enhanced oil recovery processes such as Cyclic Steam Stimulation (CSS) and Steam Assisted Gravity Drainage (SAGD), heat is transferred from the wellbore and reservoir to the surrounding formation. The thermally induced deformation in shale can pose an impact on casing and caprock integrity. In this research, thermally induced deformation in argillaceous shale was studied by applying an anisotropic thermal-strain model. Shale's intrinsic fabric anisotropy is considered in this new model. Thermally induced strain in shale is contributed by the strain of the solid particle and the strain in clay mineral's microspace such as Stern layer (bound water) and Diffusion Double Layer (DDL). The proposed anisotropic thermal-strain model was used to study on thermally induced deformation behaviors of argillaceous shale in Western Canada Sedimentary Basin (WCSB). The modeled volumetric strain indicates that shale could contract or dilate depending on the clay content and temperature. The resultant behavior represents the combined effect from the thermal expansion of the solid particle and the bound water as well as thermal contraction of the DDL in clay mineral. Due to the oriented fabric in shale, the thermal-strains along the vertical and the horizontal directions are different. Thermally induced contraction could cause loss in confinement provided by the formation and lead to fracturing. Numerical simulations were conducted to investigate temperature distributions around a thermal well for CSS and the reservoir-caprock interface for a SAGD project. The possibility of thermally induced contraction in shale and its impact on borehole and caprock integrity were evaluated.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".