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Enregistrement W2028818428 · doi:10.2523/iptc-11234-ms

Review of and Outlook for Enhanced Oil Recovery Techniques in Kuwait Oil Reservoirs

2007· article· en· W2028818428 sur OpenAlex

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Notice bibliographique

RevueInternational Petroleum Technology Conference · 2007
Typearticle
Langueen
DomaineEngineering
ThématiqueReservoir Engineering and Simulation Methods
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésPetroleum engineeringOil in placeEnhanced oil recoverySteam injectionEnvironmental sciencePulmonary surfactantGeologyMaterials sciencePetroleumChemical engineeringEngineering

Résumé

récupéré en direct d'OpenAlex

Abstract In this paper, we carried out an updated investigation of enhanced oil recovery (EOR) applications in Kuwait. The investigation employs EOR screening analysis to determine the suitability of EOR processes to mature oil reservoirs. Following the determination of the suitable EOR process, we performed incremental recovery (IR) calculations. We also performed a preliminary economic analysis to determine the economic feasibility of the EOR processes in question. The screening analysis revealed that CO2 and other miscible processes would have wide applications in these mature oil reservoirs. Polymer, surfactant/polymer, and alkaline flooding processes would also be widely applicable. In some cases, the polymer and surfactant/polymer processes were not suitable due to high reservoir temperature. Some of the important oil reservoirs have shown to be suitable for the application of thermal recovery processes, particularly steam injection. A relatively new injection method known as steam assisted gravity drainage (SAGD) appears to be viable for enhancing heavy oil recovery from the oil reservoirs containing heavy oil. These reservoirs are thick fractured layers, which can be good candidates for drilling horizontal wells where injected steam chambers can contact large volumes of oil. The presence of fractures may present a conduit for steam to cover a large volume pore space. The incremental recovery calculations indicated that the additional recovery is 10-12% for miscible, 4-5% for polymer, 20-22% for surfactant/polymer, all of which refer to percentage of original oil in place (OOIP) in addition to water flooding. The fractional recovery due to the application of steam injection (SAGD) could be as high as 50% of the OOIP for the reservoirs containing the heavy oil. The economic analysis revealed that the oil market environment is favorable for the application of EOR processes in Kuwait where reservoirs are thick and contain huge oil volumes. Introduction Kuwait has one of the largest recoverable oil reserves in the world and most, if not all, of its production is still due to primary forces. The primary and secondary forces are expected to recover approximately 45% of the oil in place.1,2 The huge volume of unrecoverable oil will be the target of enhanced oil recovery techniques that have become attractive because of the higher oil prices. If the heavy oil sands of Alberta can become economically attractive, then the much lighter oil in Kuwait oil reservoirs will certainly present a more attractive target for enhanced oil recovery processes. Due to the large current production capacity of Kuwait oil fields, no published study has been undertaken previously to investigate the Enhanced Oil Recovery (EOR) potential in Kuwait, as the capacity due to primary and secondary techniques is more than enough to meet the daily production requirements. In this paper we investigate the applicability of EOR processes in Kuwait. The potential of applying EOR in the various oil reservoirs is done by applying the screening criteria of the different EOR processes.3–5 Once a reservoir was found to be suitable for one or more enhanced oil recovery processes, the incremental recovery over primary and secondary was calculated for each process. Using the incremental recovery figures and the costs for the specific process, we conducted a preliminary economic analysis. The incremental recovery calculations and the economic comparisons were based on the simple models developed by U.S Department of Energy.6 The fluid and reservoir data were gathered from the literature; assumptions were made for unavailable data when required.7–17 Enhanced Oil Recovery Methods Oil reservoirs, following discovery, undergo production of oil by primary recovery. In primary recovery, the energy and pressures inherent in the reservoir are used to force the oil through the complex pore network toward the producing wells. The primary recovery mechanism can differ from one reservoir to another, depending on the type of reservoir and the properties of the rock and the hydrocarbons present. Following the primary stage, the reservoir energy is supplemented by the injection of water and/or gas in a "secondary recovery" stage. The ultimate oil recovery by primary and secondary recovery usually ranges from 25-45% of OOIP.1 As the secondary recovery approaches its economic limit of operation, the "tertiary recovery" process begins.

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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)0,001
score de la tête « metaresearch » (Gemma)0,001
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Autre devis · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,797
Score d'incertitude au seuil0,582

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0010,001
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0010,000
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 Opus0,019
Tête enseignante GPT0,304
Écart entre enseignants0,286 · 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