MétaCan
Menu
← Retour à la cohorte
Enregistrement W4233382007 · doi:10.2523/96959-ms

Steam-Injection Experiments for Recovery of Heavy Crude Oil of an Iranian Field

2005· article· en· W4233382007 sur OpenAlexaboutno aff
Alireza Tabatabaei, Sirus Shafiei, Saeid Rajabzadeh, Amir Haghlesan

Notice bibliographique

Revuenon disponible
Typearticle
Langueen
DomaineEngineering
ThématiqueEnhanced Oil Recovery Techniques
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésCitationLibrary scienceDownloadComputer scienceWorld Wide Web

Résumé

récupéré en direct d'OpenAlex

Steam Injection experiments for Recovery of Heavy Crude oil of some Iranian Field Alireza Tabatabaei; Alireza Tabatabaei Search for other works by this author on: This Site Google Scholar Sirus Shafiei; Sirus Shafiei Search for other works by this author on: This Site Google Scholar Saeid Rajabzadeh; Saeid Rajabzadeh Search for other works by this author on: This Site Google Scholar Amir Naser Haghlesan Amir Naser Haghlesan Tabriz Pertochemical Company Search for other works by this author on: This Site Google Scholar Paper presented at the SPE International Thermal Operations and Heavy Oil Symposium, Calgary, Alberta, Canada, November 2005. Paper Number: SPE-96959-MS https://doi.org/10.2118/96959-MS Published: November 01 2005 Cite View This Citation Add to Citation Manager Share Icon Share Twitter LinkedIn Get Permissions Search Site Citation Tabatabaei, Alireza, Shafiei, Sirus, Rajabzadeh, Saeid, and Amir Naser Haghlesan. "Steam Injection experiments for Recovery of Heavy Crude oil of some Iranian Field." Paper presented at the SPE International Thermal Operations and Heavy Oil Symposium, Calgary, Alberta, Canada, November 2005. doi: https://doi.org/10.2118/96959-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 International Thermal Operations and Heavy Oil Symposium Search Advanced Search AbstractThermal methods for enhanced oil recovery account for the large share of the world's production. Steam flooding is one of the oldest commercial methods to enhance the heavy oil recovery. In due respects, experiments of steam injection into a sand pack were performed to study the recovery of heavy oil (API<20) and a lighter oil (API>20) of Iranian field.Two different porosity of sand pack were used and the experiments were conducted with four different types of heavy oil, with different API, to study their effect on recovery.An experimental setup was designed and used to inject the steam into the sand pack.Using different pressures at each experimental run, results show that there is an optimum pressure, which is the characteristic of each reservoir and must be determined by field experiments.The rate of injected steam has an important effect on recovery and an optimum rate exists for ultimate recovery.Steam injection is more effective for heavy oil reservoirs, as for light oil reservoirs; there is the risk of fingering which results in production of steam without sufficient oil production.Even though, in literature, some authors have indicated that the steam injection could be used for the lighter oil reservoirs (API~ 24 or more) but based on the conducted experiments it is proposed to take more care.IntroductionIran is one of the oldest countries in the world of producing oil.The exploration of oil in Iran dated back to the Ghajar era, which the first producing oil well was drilled in 1908 and its producing rate was 500 bbl/day. Then after many other fields were developed (i.e. Haftgel 1927, Aghajari 1936, Gachsaran & Pazanan 1937, etc.). Since then the oil has played a major role in Iran's economic. Figure 1 presents the production and consumption of the Iran's oil.Conventional methods of oil production can produce only about (average) 20 percent of oil in place. After that the natural pressure of the field decreases and different methods can be used to raise the pressure and keep the oil production in economic range. These methods are called secondary recovery methods. In this stage of production normally water or produced gases are injected to keep or increase the pressure. After secondary recovery period more sophisticated methods should be used to produce the remaining oil [1–7]. Different methods in this stage can be used. One of oldest methods which is specially suitable for heavy oil fields is steam injection which is one of the thermal methods for enhancing oil recovery (EOR) of heavy oil.Many advancements have been made both in experimental and field studies to improve the heavy oil recovery.These include many experimental, fields and numerical methods as well as combination of them [8–28]Clossman et al. and other authors [29–31] conducted experiments of injecting steam in sand pack saturated with oil. They concluded that the oil production rate after injecting several PV of steam is dependent on the water/oil viscosity ratio and that at high ratios the oil production continues after steam production. In another study Demiral et al. and many others [32–36] conducted experiments with steam and foam and used two types of surfactant and found that steam injection with foam increases the oil production about %45. Bagci et al. & Sukkar [37,38] studied light oil production using steam in lime reservoirs and used oil with various API. They concluded that in higher API the production increases and also it increases with lowering steam flow rate. The mechanism of oil production by steam injection involves diffusion of condensed water, evaporation of light components, and diffusion of steam [39–48]. Here we have conducted several tests to evaluate the recovery by steam injection using heavy oil. Keywords: heavy oil, sand pack, thermal method, flow rate, doe report, recovery, haghlesan, porosity, steam flooding, injection Subjects: Improved and Enhanced Recovery, Thermal methods This content is only available via PDF. 2005. SPE/PS-CIM/CHOA International Thermal Operations and Heavy Oil Symposium 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 machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,000
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Expérimental (laboratoire) · Signal consensuel: Expérimental (laboratoire)
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,006
Score d'incertitude au seuil0,012

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0000,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,001
Bibliométrie0,0010,001
Études des sciences et des technologies0,0010,000
Communication savante0,0000,001
Science ouverte0,0000,000
Intégrité de la recherche0,0000,001
Charge utile insuffisante (le modèle a refusé de juger)0,0030,000

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 Opus0,012
Tête enseignante GPT0,267
Écart entre enseignants0,255 · 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 source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeExpérimental (laboratoire)
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
Publié2005
Routes d'admission1
Résumé présentoui

Explorer davantage

Même sujetEnhanced Oil Recovery Techniques→Travaux en français237 207→