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Enregistrement W2062313358 · doi:10.2118/2009-086

Determination of Inflow Performance Relationship (IPR) by Well Testing

2009· article· en· W2062313358 sur OpenAlex
A. Jahanbani, Seyed Reza Shadizadeh

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Notice bibliographique

RevueCanadian International Petroleum Conference · 2009
Typearticle
Langueen
DomaineEngineering
ThématiqueHydraulic Fracturing and Reservoir Analysis
Établissements canadiensUniversity of Calgary
Organismes subventionnairesnon disponible
Mots-clésInflowComputer scienceReliability engineeringGeologyEngineering

Résumé

récupéré en direct d'OpenAlex

Abstract The knowledge of Inflow Performance Relationship is an essential piece of information for well performance evaluation and optimization. For single phase oil flow, production rate is proportional to pressure drawdown and therefore the IPR curve is a straight line. Several empirical relations have been proposed in the literature to predict the performance of oil wells producing with two phase flow conditions. However, these relationships are empirical and limited in application. This paper presents a general approach for determination of IPR curves of oil wells below the bubble point pressure. This approach uses the results of well test analysis along with relative permeability and PVT data in the proper fluid flow equations for generation of IPR curves. The proposed method is also capable of predicting future IPR curves. To show that the presented approach is applicable to a wide variety of cases, it is applied to an example oil well in a naturally fractured reservoir. The new method proposed for fractured reservoirs is then compared with some of the empirical methods. It is shown that the new method can predict well deliverability more accurately than other methods. Among different methods evaluated in this work, although underestimating flow rates, Vogel's relation best matched our work. The approach presented in this paper eliminates the need for multipoint tests, and the required data can be obtained from a buildup test. This approach can be applied to both initial well tests (transient flow) and tests done later during production (pseudo steady state flow). The new analytical method proposed for determination of IPR curve is considered a reliable method since it can closely match the flow tests data. Introduction Inflow Performance Relationship (IPR) of a well is the relation between the production rate and flowing bottom hole pressure. For oil wells, it is frequently assumed that fluid inflow rate is proportional to the difference between reservoir pressure and wellbore pressure. This assumption leads to a straight line relationship that can be derived from Darcy's law for steady state flow of an incompressible, single phase fluid and is called the Productivity Index (PI). However, this assumption is valid only above the bubble point pressure. Evinger and Muskat [1], based on multi-phase flow equations showed that a curved relationship existed between flow rate and pressure, when two phase flow occurs in the reservoir (i.e. saturated oil). In 1968, Vogel [2] presented an empirical inflow performance relationship for solution-gas drive reservoirs, based on computer simulation results and a wide range of rock and fluid properties. His famous dimensionless IPR was developed for flow of saturated oil from a solution-gas drive reservoir into well ignoring skin effects. After Vogel, several empirical relationships have been developed to predict the performance of oil wells in saturated reservoirs [3–12]. However, these IPRs are empirical and have been developed for homogeneous, solution-gas drive reservoirs and may not be applicable to other cases.

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.

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 candidatesaucune
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 enseignants0,116
Score d'incertitude au seuil0,472

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0000,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,000
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 Opus0,014
Tête enseignante GPT0,212
Écart entre enseignants0,198 · 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