A Fast and Efficiency Numerical Simulation Method for Supersonic Gas Processing
Notice bibliographique
Résumé
A Fast and Efficiency Numerical Simulation Method for Supersonic Gas Processing Jiang Dengyu; Jiang Dengyu Beijing University of Aeronautics and Astronautics Search for other works by this author on: This Site Google Scholar Qitai Eri; Qitai Eri Beijing University of Aeronautics and Astronautics Search for other works by this author on: This Site Google Scholar Changliang Wang; Changliang Wang Beijing University of Aeronautics and Astronautics Search for other works by this author on: This Site Google Scholar Huoxing Liu; Huoxing Liu Beijing University of Aeronautics and Astronautics Search for other works by this author on: This Site Google Scholar Yao Yuan Yao Yuan Beijing University of Aeronautics and Astronautics Search for other works by this author on: This Site Google Scholar Paper presented at the International Oil and Gas Conference and Exhibition in China, Beijing, China, June 2010. Paper Number: SPE-131239-MS https://doi.org/10.2118/131239-MS Published: June 08 2010 Connected Content Related to: Fast and Efficient Numerical-Simulation Method for Supersonic-Gas Processing Cite View This Citation Add to Citation Manager Share Icon Share MailTo Twitter LinkedIn Get Permissions Search Site Citation Dengyu, Jiang , Eri, Qitai , Wang, Changliang , Liu, Huoxing , and Yao Yuan. "A Fast and Efficiency Numerical Simulation Method for Supersonic Gas Processing." Paper presented at the International Oil and Gas Conference and Exhibition in China, Beijing, China, June 2010. doi: https://doi.org/10.2118/131239-MS Download citation file: Ris (Zotero) Reference Manager EasyBib Bookends Mendeley Papers EndNote RefWorks BibTex Search Dropdown Menu toolbar search search input Search input auto suggest filter your search All ContentAll ProceedingsSociety of Petroleum Engineers (SPE)SPE International Oil and Gas Conference and Exhibition in China Search Advanced Search Abstract Supersonic swirling separation technology is an innovative gas conditioning technology to separate heavy hydrocarbon and water vapor from the natural gas. The Laval nozzle, where the condensation occurs, is used to generate supersonic flow and achieved a high degree of supersaturation in natural gas dehydration unit. Therefore, the nozzle shape has a strong impact on the non-equilibrium phase transition and plays a decisive role to the distribution of the nucleation and the growth rate. To optimize the structure of the Laval nozzle and achieve higher separation efficiency, numerical simulation plays an important role in accelerating development cycles and cutting down the cost of experiment.In this paper, to avert the complexity of using the multiphase models and real gas model, a quick and efficiency method is validated and used to determine the location of the nucleation zone and the droplet growth zone.The corrected Internally Consistent Classical Theory (ICCT) model and Gyarmathy model (gya82) were employed to the numerical simulation of a condensing Laval nozzle flow by coupling the N-S equation and condensate mass equation at different nozzle pressure ratios (NPR) and initial supersaturations. The results show that, in a supersonic expansion Laval nozzle flow, high cooling rate results in a high value of supersaturation and nucleation rate. When condensation occurs, the flow is affected by the latent heat released and the total temperature is increased. This method can accurately predict the distribution of the condensing flow parameters, find an optimized flow state to obtain larger droplet, and assure the latent heat released is moderate to maintain a steady flow. Finally, this method is applied to the numerical simulation of a full-scale supersonic swirling separator flow field under different work conditions. Keywords: nucleation rate, droplet growth, flow field, gas processing, reservoir simulation, condensation shock, sauter mean, upstream oil & gas, society of petroleum engineers, condensation Subjects: Processing Systems and Design, Reservoir Simulation, Gas processing Copyright 2010, Society of Petroleum Engineers You can access this article if you purchase or spend a download.
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Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,002 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,001 | 0,001 |
| Communication savante | 0,001 | 0,001 |
| Science ouverte | 0,001 | 0,001 |
| Intégrité de la recherche | 0,001 | 0,002 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,010 | 0,003 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».