Density of High Pressure and Temperature Gas Reservoirs: Effect of Non-hydrocarbon Contaminants on Density of Natural Gas Mixtures
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Résumé
Density of High Pressure and Temperature Gas Reservoirs: Effect of Non-hydrocarbon Contaminants on Density of Natural Gas Mixtures F.. Tabasinejad; F.. Tabasinejad University of Calgary Search for other works by this author on: This Site Google Scholar R. G. Moore; R. G. Moore University of Calgary Search for other works by this author on: This Site Google Scholar S. A. Mehta; S. A. Mehta University of Calgary Search for other works by this author on: This Site Google Scholar K. C. Van Fraassen; K. C. Van Fraassen University of Calgary Search for other works by this author on: This Site Google Scholar Y.. Barzin; Y.. Barzin University of Calgary Search for other works by this author on: This Site Google Scholar J. A. Rushing; J. A. Rushing Anadarko Petroleum Corp. Search for other works by this author on: This Site Google Scholar K. E. Newsham K. E. Newsham Apache Canada LTD Search for other works by this author on: This Site Google Scholar Paper presented at the SPE Western Regional Meeting, Anaheim, California, USA, May 2010. Paper Number: SPE-133595-MS https://doi.org/10.2118/133595-MS Published: May 27 2010 Cite View This Citation Add to Citation Manager Share Icon Share Twitter LinkedIn Get Permissions Search Site Citation Tabasinejad, F.. , Moore, R. G., Mehta, S. A., Van Fraassen, K. C., Barzin, Y.. , Rushing, J. A., and K. E. Newsham. "Density of High Pressure and Temperature Gas Reservoirs: Effect of Non-hydrocarbon Contaminants on Density of Natural Gas Mixtures." Paper presented at the SPE Western Regional Meeting, Anaheim, California, USA, May 2010. doi: https://doi.org/10.2118/133595-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 Western Regional Meeting Search Advanced Search Abstract New experimental density data are generated in this study for light and heavy dry gas mixtures. The light mixtures consist mostly of methane and small fractions of ethane, propane, and nitrogen. Normal alkanes up to C6, iso-butane and iso-pentane together with carbon dioxide form the heavier gas mixtures. For each mixture, isothermal gas density is measured from 3.45 MPa to 140 MPa at temperatures of 423.15 K and 478.15 K. Effects of CO2 and N2 as two non-hydrocarbon contaminants, on density of gas mixtures are examined in steps of 5 mol%, 10 mol%, and 20 mol%. In addition, water vapor influence on gas phase density of water-saturated gas mixtures is also investigated. Different correlations for sweet and sour gas critical properties are combined with the most widely used equations of state (Hall-Yarborough and Dranchuk-Abou-Kassem) to predict density data for comparison with 450 experimental measurements. The most important results demonstrated from this study are:Among all correlations, the combination of the Hall-Yarborough equation with the pseudo-critical properties correlated by Sutton generates the lowest average absolute deviation (AAD) between predicted and experimental density data.The correction term developed by Wichert and Aziz to modify the pseudo-critical properties due to the presence of non-hydrocarbon compounds in the gas mixture, drastically improves the prediction of density data.At very high pressure and temperature conditions, effect of water vapor becomes more significant on gas phase density and it should be considered in density related correlations. Keywords: correlation, gas phase density data, wichert, upstream oil & gas, fluid modeling, hydrocarbon gas mixture, gas compressibility factor, phase density, density data, correction term Subjects: Fluid Characterization, Fluid modeling, equations of state 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 distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,001 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
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 tête enseignante, 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 ».