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Enregistrement W2005405908 · doi:10.2118/2009-110

Investigation on the Effect of Overburden Pressure on Vuggy Carbonate Oil Reservoir Core Properties

2009· article· en· W2005405908 sur OpenAlexafffund
Mohammad Ebrahim Shafiee, Apostolos Kantzas

Notice bibliographique

RevueCanadian International Petroleum Conference · 2009
Typearticle
Langueen
DomaineEngineering
ThématiqueHydrocarbon exploration and reservoir analysis
Établissements canadiensUniversity of Calgary
Organismes subventionnairesCanada Research Chairs
Mots-clésOverburdenGeologyCarbonatePetroleum engineeringCore (optical fiber)PetrologyMining engineeringEngineeringChemistry

Résumé

récupéré en direct d'OpenAlex

Abstract Overburden pressure in carbonate reservoirs is of great importance in understanding and improving productivity and recovery of hydrocarbons because it affects porosity, permeability, capillary pressure, particularly micro-inter-crystalline-framework and micro-fracture structures. As a result of this complexity, a Ruska Gas Permeameter was used at different pressures to measure the rock properties such as porosity and permeability of reservoir cores. The results were compared to CT-scan and NMR data. In this research over 50 core samples were prepared from AB-Teymur carbonate oil reservoir (Iran). The samples were placed in the core holder and overburden pressures of 500, 1000, 1500, 2000 and 3000psi were applied. Then Helium porosity and permeability were measured. This paper describes a systematic experimental methodology to analyze the different permeability and porosity values for reservoir characterization. The new study has shown the role of particularly micro-intercrystalline pore structure in carbonate rocks through digenesis in providing various ranges of porosity and permeability. The different hydrostatic levels in the reservoir rocks achieve a range of micro-fracture scenarios. Hence carbonate formations generally have complex porosity and permeability based on variation of overburden pressure in comparison to siliciclastic sandstones and there are not enough works published in the literature. Introduction In carbonate reservoirs, overburden pressure has significant effects on pore architecture, geometry, primary and secondary porosity and absolute permeability. As a result of complicated carbonate lithofacies and diagenesis processes, pore structure and pore sensitivity are more problematic than in siliciclastic sandstones. Overburden pressure may change the reservoir quality, capacity, producibility and recovery factors. Routine petroleum engineering reservoir parameter calculations are generally performed in the absence of the overburden pressure effect. This leads to serious errors in further development of a hydrocarbon-bearing reservoir. Thus, measurements under stress conditions become vitally important1. In the estimations of reservoir properties, the effect of overburden pressure is usually disregarded and this results in severe errors during the data processing and reservoir characterization measurements. The objective of this study is to investigate the effect of overburden pressure in vuggy carbonate oil reservoir by using real core samples. In this research the range of permeability and porosity reduction vs. increasing overburden pressure at a carbonate reservoir characterized by various facies is investigated. The results are compared to mass balance, nuclear magnetic resonance (NMR) and computerized tomography (CT scanning) data. In this investigation about forty two core samples from 3100m to 3450m depth of real carbonate reservoir in south west Iran were tested. The plugs were cored and cut to proper size. Then they were cleaned and dried. These processes were very time consuming and difficult because of the tight rock matrix. A Ruska Gas Permeameter was used for a gas expansion experiment to measure the porosity and permeability variation at different overburden pressures. In the laboratory tests, indicative different core plugs from different depths were used for each application. The bulk density and grain density of all samples were measured. Then the pore volume of each plug was established by helium gas expansion and the sample porosity and permeability were determined.

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 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 enseignants0,099
Score d'incertitude au seuil0,651

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 Opus0,030
Tête enseignante GPT0,216
Écart entre enseignants0,186 · 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.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
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

Citations7
Publié2009
Routes d'admission2
Résumé présentoui

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