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Enregistrement W1993411808 · doi:10.2118/124690-ms

Numerical Simulation of Seismicity Induced by Hydraulic Fracturing in Naturally Fractured Reservoirs

2009· article· en· W1993411808 sur OpenAlex

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Notice bibliographique

RevueAll Days · 2009
Typearticle
Langueen
DomaineEngineering
ThématiqueHydraulic Fracturing and Reservoir Analysis
Établissements canadiensUniversity of Toronto
Organismes subventionnairesnon disponible
Mots-clésGeologyHydraulic fracturingInduced seismicityGeotechnical engineeringSlippageGeomechanicsShear (geology)Fluid dynamicsFracture (geology)MechanicsPetrologySeismologyEngineeringStructural engineering

Résumé

récupéré en direct d'OpenAlex

Abstract The problem of the interaction between hydraulic and natural fractures is of great interest for energy resource industry because natural fractures can significantly influence the overall geometry and effectiveness of hydraulic fractures. Based on the tri-axial fracturing lab experiments presented in other publications and fluid stimulation in the field, a 2D discrete element model with fully dynamic and hydromechanical coupling is validated to simulate fluid injection into a reservoir containing a natural fracture by comparing modeling geometries of hydraulic fractures and induced seismicity with actual results in laboratory and field data. At the lab scale, the numerical model simulated a series of fracturing experiments on rock blocks with pre-fractures with different orientation, and the model captured three interaction types (crossing, dilating, and arresting) between induced fractures and pre-fractures and also illustrated three types of crossing depending on the differential stresses and orientations of pre-fractures. Furthermore, seismic mechanisms obtained from the model confirmed that hydraulic fractures were arrested by shear slippage of the pre-fracture. In the field scale, the calibrated model simulated the stimulation conducted in the tight gas reservoir at Dowdy Ranch field, USA. The model produced the scope and orientation of induced fractures similar to results obtained from the actual recorded microseismicity, and a similar seismic magnitude range. Moreover, the model showed deformation and cracking occurring ahead of the fluid pressure front and hydraulic fractures were arrested by the dilation of the fault. At the same time, the leakage of large fluid volume through the fault area was qualitatively predicted by the 2D model. These confirmed that the effective half-length is shorter than the created fracture half-length deduced from microseismic locations, which is the case during the multistage fracturing treatment in the Bossier formation. In addition, from the modeling results, it was concluded that the horizontal principal stresses with a ratio no less than 2 may be enough to cross a natural fracture with a single hydraulic fracture. Therefore, the validated model can help examine in detail the micromechanism behind the failure, and the relationship between the induced seismicity and the fluid front through direct observation of the model. Introduction Hydraulic fracturing and seismic monitoring are established techniques to improve the production of hydrocarbons from unconventional oil and gas reservoirs (Pearson 1981; Maxwell and Urbancic 2001; Sharma et al. 2004; Le Calvez et al. 2006), enhance geothermal energy in hot dry rock (Sasaki 1998; Norio et al. 2008), and facilitate slurry waste re-injection operations(Warpinski et al. 1999). Due to ubiquitous natural fractures, the problem of the interaction between hydraulic and natural fractures is of great interest for the energy resource industry because natural fractures can significantly influence the overall geometry and effectiveness of hydraulic fractures. A considerable amount of research has been carried out in the past few decades trying to understand the complexity and mechanics of hydraulic fractures in fractured reservoirs. Blanton (1986) conducted scaled laboratory experiments on naturally fractured Devonian shale and hydrostone under different angles of approach and states of stress. These experiments show that hydraulic fractures crossed pre-fractures only under high differential stress and high approaching angles, while at low differential stress and angles of approach the existing fracture opened, diverting the fracturing fluid and preventing the induced fracture from crossing, at least temporarily. Beugelsdijk et al. (2000) also performed laboratory experiments on Portland cement blocks to analyze complex hydraulic fracture geometry as a function of horizontal stress difference, stress regime, flow rate and discontinuity pattern. Many field work took in naturally fractured formations reveal that effects of natural fractures on fracture propagation are enhanced fluid leakoff, premature screenout, arrest of the fracture propagation, formation of multiple fractures, fracture offsets, high net pressures (Britt and Hager 1994; Vinod et al. 1997; Rodgerson 2000; Azeemuddin et al. 2002; Sharma et al. 2004).

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.

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 enseignants0,059
Score d'incertitude au seuil0,867

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 recherche0,0000,001
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 Opus0,010
Tête enseignante GPT0,248
Écart entre enseignants0,237 · 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