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Enregistrement W1990705626 · doi:10.2118/64794-ms

Numerical Simulation Study of Water Injection Development in an Extra-low-permeability Fractured Reservoir, Xiaoguai Oilfield

2000· article· en· W1990705626 sur OpenAlex

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Notice bibliographique

RevueInternational Oil and Gas Conference and Exhibition in China · 2000
Typearticle
Langueen
DomaineEngineering
ThématiqueHydrocarbon exploration and reservoir analysis
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésGeologyLithologyPermeability (electromagnetism)ConglomeratePorosityOil productionPetrologyWater injection (oil production)Sedimentary rockPetroleum engineeringStructural basinGeotechnical engineeringGeochemistryGeomorphology

Résumé

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Abstract The Xiazijie formation oil pool in Xiaoguai oilfield is a low-porosity, extra-low-permeability, fractured conglomerate reservoir. Based on 3-D detailed geological reservoir description and production performance data, the authors investigate the factors influencing the production of the oil pool with CMG's black oil model (IMEX). Variation and sensitivity of such factors as IPR, location of water injection, production rate, well pattern, direction of well array in relation to fracture orientation and recovery method (solution gas drive vs. Water injection) are analyzed. Introduction Xiaoguai oilfield is located at about 35Km to the south of Karamay, Xinjiang, which lies on the northwestern slop belt of Changji sag between Chepaizi uplift and Zhongguai uplift in northwestern margin of Junggar basin. The target zone Xiazijie Formation is a series which trend north to south, sedimentary thickness average 600~700m. The reservoir lithology is dominated by medium-conglomerate then by arenaceous seriate fine conglomerate, pabbly sandstone and cobblestone. The pore types are mainly composed of micro-fracture, boundary pore, inter-granular dissolved pore and inter-crystalline pore of inter-granular laumontite. Average porosity and permeability are 5.57% and 0.16×10-3µm2, respectively. Reservoir has developed by natural fractures and dominated by the high-angle, right angle of structural genesis, the fracture strike is near EW direction. The fracture porosity and permeability are 0.058% and 36.72×10-3µm2, respectively. This reservoir is a typical low-pore, extra-low-permeability fractured pool and oil saturated with reservoir middle part temperature of 85.5°C, original formation press are of 39.72 MPa, formation press are coefficient of 1.13 and no active edge-bottom water. Since 1996, 154 development wells have been drilled and cumulative oil production is 48.5×10 4t. The main problem during the development is the formation pressure falling fast and the well production declining fast by natural solution gas drive process. Therefore, for this kind of low-pore, extreme-low-permeability fractured reservoir, using what kind of secondary oil recovery process to supplement formation energy is a new subject for oilfield recovery. Model Development and Parameter Preparation Based on the depositional facies belt, reservoir and productivity distribution, G2080 well group that has perfect well pattern and long production history is selected to simulate. The main purposes of study are evaluating the water-flooding effect and predicting production indexes in different recovery processes. Therefore, we selected the black oil simulation software (IMEX) which is made in CMG company Canada, to simulate the 3D 3phases and multitypes of fracture systems. Geologic model development. This model consists of two parts: fracture and matrix, its heterogeneity reflects two aspects: one is heterogeneity between the systems of fracture and matrix, the other is one fracture system. For these reasons, Geotools Software is used to develop the combinative model which is composed of fractures and rocks, and it has basically reflected the heterogeneity distribution of fracture and rocks on 3D space. Grid division. Grid division should be considered to the following several aspects:Simulation modelcontend is needed,Well site should be as on center of grid as possible,The accuracy of calculation result,The direction of reservoir major fractures and plane grid is the same as X, andCalculation speed. Geologic model development. This model consists of two parts: fracture and matrix, its heterogeneity reflects two aspects: one is heterogeneity between the systems of fracture and matrix, the other is one fracture system. For these reasons, Geotools Software is used to develop the combinative model which is composed of fractures and rocks, and it has basically reflected the heterogeneity distribution of fracture and rocks on 3D space. Grid division. Grid division should be considered to the following several aspects:Simulation modelcontend is needed,Well site should be as on center of grid as possible,The accuracy of calculation result,The direction of reservoir major fractures and plane grid is the same as X, andCalculation speed. Grid division. Grid division should be considered to the following several aspects:Simulation modelcontend is needed,Well site should be as on center of grid as possible,The accuracy of calculation result,The direction of reservoir major fractures and plane grid is the same as X, andCalculation speed.

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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)0,000
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 enseignants0,115
Score d'incertitude au seuil0,424

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 Opus0,017
Tête enseignante GPT0,260
Écart entre enseignants0,244 · 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