Simulación de un piloto de inyección continua de vapor usando pozos horizontales
Bibliographic record
Abstract
RESUMEN El uso de pozos horizontales en procesos de inyección continua de vapor es una práctica que en los últimos años ha llamado la atención de quienes están involucrados en la recuperación de crudos pesados. El interés en la utilización de los pozos horizontales se debe principalmente al aumento que se genera en el área de contacto entre el pozo y la zona productora, lo cual se refleja en una mayor eficiencia de la inyección de vapor. Una forma de establecer si el uso de pozos horizontales mejora el desempeño de la inyección continua de vapor es la simulación numérica del proceso. Por ello se diseñó un estudio de simulación con el objetivo de analizar el comportamiento de la inyección continua de vapor para un patrón de cinco puntos invertido. Para el piloto simulado se emplearon diferentes configuraciones que involucran el uso de pozos productores horizontales y verticales. Las diferentes corridas de simulación fueron realizadas en el simulador de procesos térmicos Steam, Tbermal and Advanced Processes ReservoirSimulator (STARS) de la compañía canadiense Computer Modelling Group (CMG). Palabras clave: Inyección continúa de vapor, pozos horizontales, simulación de yacimientos. ABSTRACT The use of horizontal wells in processes of steamflood is a practice that in the last years has called the attention of those who is involved in the recovery of heavy oil. The interest in the utilization of the horizontal wells owes principally to the increase that is generated in the area of contact between the well and the producting zone, which is reflected in a major efficiency of the steam injection. A way to confirm if the use of horizontal wells improves the performance of the steamflood is the numerical simulation of the process. Therefore a simulation study was effectuated to analyze the behavior of the continuous steam injection for an inverted five-spot pattern. Different configurations for the simulated pilot were used that involve the use the horizontal and vertical well. The different cases from simulation were prepared in the simulator from thermal processes Steam, Thermal and Advanced Processes Reservoir Simulator (STARS) of the Canadian company Computer Modelling Group (CMG). Keywords: horizontal well, reservoir simulation, continuos steamflouding
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".