Quantifying the Uncertainty Associated With Caprock Integrity during SAGD Using Coupled Geomechanics Thermal Reservoir Simulation
Bibliographic record
Abstract
Abstract With a growing emphasis on safety of thermal operations in the Canadian oilsands operations, the focus of the industry on caprock integrity during SAGD has been increasing. A SAGD operation may create a high degree of deformation in the reservoir rock because of the stresses induced by pressure and temperature. This might yield to a failure of both the reservoir rock as well as the caprock. Thus, there is a need to understand the impact of various geomechanical and operational parameters on overall safety of a SAGD operation. In this paper, caprock failure during SAGD was modeled using a coupled simulator to integrate reservoir flow with geomechanical deformation. Representative Canadian oilsands properties were used for the simulation. Both shear and tensile failures were modeled and the surface heave/deformation was recorded. Sensitivity analyses and uncertainty assessments were performed to understand the effect of various geomechanical properties on caprock integrity and surface heave, including Young's modulus, Poisson's ratio and thermal pore pressure. At the same time, operating conditions such as well spacing and maximum injection pressure were also altered to see their effect on caprock integrity. This was done for different geological scenarios and different reservoir depths. Based on this study, we attempt to develop a generic workflow for quantifying the uncertainty associated with caprock integrity and minimizing the risk associated with caprock failures in any SAGD project.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| 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 | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".