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Enregistrement W4253260055 · doi:10.2523/75531-ms

Gas-Condensate Well Performance Using Compositional Simulator: A Case Study

2002· article· en· W4253260055 sur OpenAlexaboutno aff
Bengherbia Mourad, Djebbar Tiab

Notice bibliographique

RevueProceedings of SPE Gas Technology Symposium · 2002
Typearticle
Langueen
DomaineEngineering
ThématiqueReservoir Engineering and Simulation Methods
Établissements canadiensnon disponible
Organismes subventionnairesUniversity of Oklahoma
Mots-clésCitationComputer sciencePetroleum engineeringEnvironmental scienceEngineeringLibrary science

Résumé

récupéré en direct d'OpenAlex

Gas-Condensate Well Performance Using Compositional Simulator: A Case Study Mourad Bengherbia; Mourad Bengherbia Sonatrach, Inc. Search for other works by this author on: This Site Google Scholar Djebbar Tiab Djebbar Tiab U. of Oklahoma Search for other works by this author on: This Site Google Scholar Paper presented at the SPE Gas Technology Symposium, Calgary, Alberta, Canada, April 2002. Paper Number: SPE-75531-MS https://doi.org/10.2118/75531-MS Published: April 30 2002 Cite View This Citation Add to Citation Manager Share Icon Share Twitter LinkedIn Get Permissions Search Site Citation Bengherbia, Mourad, and Djebbar Tiab. "Gas-Condensate Well Performance Using Compositional Simulator: A Case Study." Paper presented at the SPE Gas Technology Symposium, Calgary, Alberta, Canada, April 2002. doi: https://doi.org/10.2118/75531-MS Download citation file: Ris (Zotero) Reference Manager EasyBib Bookends Mendeley Papers EndNote RefWorks BibTex Search Dropdown Menu nav search search input Search input auto suggest search filter All ContentAll ProceedingsSociety of Petroleum Engineers (SPE)SPE Unconventional Resources Conference / Gas Technology Symposium Search Advanced Search AbstractThe TFT gas-cap field in Algeria produces a lean gas condensate from an Ordovician reservoir. The dewpoint pressure (2619 psi) is approximately the initial reservoir pressure (2683 psi). The pressure reaches the dewpoint within a short production time, and then drops below the dewpoint. This pressure drops causes a loss of productivity, and high condensate saturation builds up near the wellbore could lower gas productivity.To simulate the depletion process, the Peng-Robinson EOS was developed to characterize the fluid from a well data. A tuned model matched the experimental PVT data like Constant Composition Expansion (CCE), and Constant Volume Depletion (CVD) that are reliable and give a high degree of match results. This is performed by pseudoizing the EOS components from 11 to 7. A splitting method is discussed, and refers to the procedures of dividing the heptanes-plus fraction into hydrocarbon groups with a single carbon number, which are described by the same physical properties used for components.A compositional simulation is performed to study the behavior of gas condensate fluid, and to show the phenomenon of condensation of liquid in the reservoir when the pressure drops below the dewpoint pressure. Because the compositional computing time increases significantly with the number of component used, the pseudoized fluid components discussed before are used to reduce the computing time.An agreement between the tuned Peng-Robinson EOS and experimental PVT data leads to a good depletion process for use in production simulation. The simulation model yields high-quality match with the test data, such as the average pressure, gas production, and liquid (condensation), which leads to good performance predictions.A good understanding of the gas condensate reservoir, when operating above and below the dew-point, and how this reservoir is affected by three zones, the inner, the middle, and the outer, where the pressure drops below the dew-pressure, and the variation of liquid and vapor phases for each component in an other hand.IntroductionGas Condensate wells behavior is unique in a sense, it is characterized by a rapid loss of well productivity.It is well known that when the flowing bottomhole pressure drops below the dewpoint, a region of high condensate saturation builds-up in the wellbore causing lower gas deliverability, due to the reduction in gas permeability.Accurate laboratory studies of PVT and phase equilibrium behavior of reservoir fluids are necessary for characterizing these fluids and evaluating their volumetric performance at various pressure levels.Due to the amount of data desired, the Constant Volume Depletion (CVD), and the Constant Composition Expansion (CCE) tests were performed in our case.Gas condensate wells are simulated frequently with black-oil models. This study presents a gas condensate well simulated with compositional model, and a pseudoization procedure that reduces the multicomponent condensate fluid to a pseudo-component is used. This pseudoization allows the use of a simpler, less expensive compositional simulator. The model used gives a good match for the gas produced, and a good match for the liquid produced (condensate fluid) from this gas. The compositional calculations reported here use the Peng-Robinson equation of state. Keywords: reservoir simulation, fraction, fluid modeling, liquid, equation of state, mole fract, regression, bengherbia, dewpoint pressure, modeling & simulation Subjects: Fluid Characterization, Reservoir Simulation, Unconventional and Complex Reservoirs, Phase behavior and PVT measurements, Fluid modeling, equations of state, Gas-condensate reservoirs This content is only available via PDF. 2002. Society of Petroleum Engineers You can access this article if you purchase or spend a download.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction distillée sur la base complète

Imitation des enseignants

Ni 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.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesMéta-épidémiologie (sens strict)
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Simulation ou modélisation · Signal consensuel: Simulation ou modélisation
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,121
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0000,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0010,001
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

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.

Tête enseignante Opus0,020
Tête enseignante GPT0,249
Écart entre enseignants0,229 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_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 découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Devis d'étudeSimulation ou modélisation
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2002
Routes d'admission1
Résumé présentoui

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Même revueProceedings of SPE Gas Technology SymposiumMême sujetReservoir Engineering and Simulation MethodsTravaux en français237 207