Using Analytical Solutions in Compositional Streamline Simulation of a Field-Scale CO2-Injection Project in a Condensate Reservoir
Bibliographic record
Abstract
Summary This paper applies compositional streamline simulation to model a real field-scale project that is a combination of enhanced condensate recovery and geologic storage of CO2. These processes are inherently compositional, and detailed compositional fluid descriptions must be used to represent the displacement behavior accurately. We demonstrate that compositional streamline simulation, along with the use of analytical solutions for condensate displacement, is computationally efficient enough to permit high resolution of spatial heterogeneity as well as detailed characterization of the fluid system. We present a simulation study comparing streamline and finite-difference results for 2D and 3D examples to demonstrate that the compositional streamline method is an efficient computational method for modeling CO2 storage and condensate vaporization in gas reservoirs. Although the streamline method makes many simplifications regarding the effects of gravity and capillary crossflow, in heterogeneity-dominated systems such as the condensate system presented, comparison of finite-difference and streamline results confirms that these simplifications are reasonable.
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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 | 0.004 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| 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) | 0.000 | 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".