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Enregistrement W4230370680 · doi:10.2523/104405-ms

Efficient Technology Following Cyclic Steam Stimulation for Thick MassiveHeavy Oil Reservoirs

2006· article· en· W4230370680 sur OpenAlexaff
Shangqi Liu, Yongrong Gao, Shuangmao Liu

Notice bibliographique

Revuenon disponible
Typearticle
Langueen
DomaineEngineering
ThématiqueEnhanced Oil Recovery Techniques
Établissements canadiensPetro-Canada
Organismes subventionnairesPetroChina Company Limited
Mots-clésExhibitionCitationChinaBeijingComputer sciencePetroleum engineeringLibrary scienceEnvironmental scienceWorld Wide WebEngineeringGeographyArchaeology

Résumé

récupéré en direct d'OpenAlex

Efficient Technology Following Cyclic Steam Stimulation for thick Massive Heavy Oil Reservoirs Shangqi Liu; Shangqi Liu PetroChina Co. Ltd. Search for other works by this author on: This Site Google Scholar Yongrong Gao; Yongrong Gao PetroChina Co. Ltd. Search for other works by this author on: This Site Google Scholar Shuangmao Liu Shuangmao Liu Research Inst. Petr. Expl/Dev Search for other works by this author on: This Site Google Scholar Paper presented at the International Oil & Gas Conference and Exhibition in China, Beijing, China, December 2006. Paper Number: SPE-104405-MS https://doi.org/10.2118/104405-MS Published: December 05 2006 Cite View This Citation Add to Citation Manager Share Icon Share Twitter LinkedIn Get Permissions Search Site Citation Liu, Shangqi, Gao, Yongrong, and Shuangmao Liu. "Efficient Technology Following Cyclic Steam Stimulation for thick Massive Heavy Oil Reservoirs." Paper presented at the International Oil & Gas Conference and Exhibition in China, Beijing, China, December 2006. doi: https://doi.org/10.2118/104405-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 International Oil and Gas Conference and Exhibition in China Search Advanced Search AbstractWith high temperature and high pressure 3-D physical simulation and reservoir numerical modeling, the gravity assisted steam flooding process with the combination of vertical and horizontal wells was investigated, including its production mechanism and feasibility, the influence of key parameters and the process optimization. The results indicated that there are 3 phases: pressure-drive dominance, the combined effects of pressure-drive and gravity drainage, and gravity drainage dominance for this new technology, compared with SAGD process in oil sand. In each phase, the pressure differential and production performance have different character. The heat communication between injection and production wells has great impact on pressure difference.Using this new technology, the recovery factor can increases by 35% with cumulative oil steam ratio of 0.188 after CSS.IntroductionThe thick massive heavy oil reservoirs are main resources in Liaohe Oilfield, PetroChina, and accounting for 44.8% of total heavy oil reserves. The cyclic steam stimulation (CSS) method had been applied to recover most part of these reservoirs for up to 9 cycles and has been entered into the mid and later stage. The reservoir pressure drops greatly from initial reservoir pressure to 1.5∼2.0Mpa. The oil production per cycle decreased greatly and the stream oil ratio (OSR) declined leading to the lower recovery efficiency.Field test and reservoir simulation showed that the lower part of the formation was not swept and developed by steam due to steam override and reservoir heterogeneities, resulting in a lot of oil left in the lower part of the formation and low oil recovery factor(lower than 20%) after CSS. The major technical challenge encountered is what recovery methods following CSS could be adopted to improve recovery factor further. For this reason, many field tests with different recovery methods after CSS was conducted, such as steam flooding and hot water flooding, but the field test results are not satisfaction for many aspects.Based on lab simulation, according to the reservoir characteristics and remaining oil distribution, the gravity assisted steam drive (GASD) process with the combination of vertical and horizontal wells is a promising technology for this kind of reservoir. The main reason lies in:abundant remaining oil in inter-well area of vertical wells, and the potential reserves for further development;the thicker formation and larger gravity effect to utilize infill-drilled horizontal wells;the injected steam could heats the reservoir and decreases the oil viscosity, also provide the displacing pressure at the initial phase, preparing for continual production of heavy oil.Reservoir CharacteristicsGao 3 block locates at the nose structure of the northern part of west slope in west sak of the Liaohe downfaulted basin (Figure 1). The formation interested is Lianhua reservoir in Shahejie series of Eogene system. Reservoir depth is about 1450∼1690m, and the reservoir average net thickness is 82.2m, the oil bearing area employed is 5.0 Km2 and initial oil in place (OOIP) is 4730×104t. There are 8 sand bodies grown in the reservoir vertical direction in which the sand bodies 1–4 is gas reservoirs, the sand body 5 is oil reservoir with top gas, and the sand bodies 6 and 7 is pure oil reservoir and the oil reservoir with bottom water respectively. The initial oil gas interface is at -1510m and initial oil water interface is at -1690m. The reservoir is mainly composed of coarse conglametic sandstone and glutenite with porosity of 20∼25%, and air permeability of about 1200∼2500×10–3µm2. The viscosity of oil with solution gas is 518 mPa.s and the viscosity of stock tank oil at 50? is 2000∼3500 mPa.s. The density of surface oil is 0.94∼0.96g/cm3 . The initial solution gas and oil ratio (GOR) is 24∼39 m3/t, and the formation volume factor is 1.0624. The initial reservoir pressure is 16.1Mpa and the saturated reservoir pressure is 12.4Mpa. Keywords: Modeling & Simulation, temperature distribution, thermal method, steam-assisted gravity drainage, SAGD, enhanced recovery, Upstream Oil & Gas, reservoir pressure, oil reservoir, Oil Viscosity Subjects: Improved and Enhanced Recovery, Thermal methods This content is only available via PDF. 2006. 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 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 seuil0,019

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0000,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0010,000
Études des sciences et des technologies0,0000,000
Communication savante0,0000,001
Science ouverte0,0000,001
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0060,001

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 Opus0,007
Tête enseignante GPT0,235
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 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

Citations1
Publié2006
Routes d'admission1
Résumé présentoui

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