Impact of accurate fractured reservoir flow modeling on recovery predictions

Publikation: Beitrag in Buch/Bericht/Sammelwerk/KonferenzbandAufsatz in KonferenzbandForschungPeer-Review

Autoren

  • G. Singh
  • G. Pencheva
  • K. Kumar
  • T. Wick
  • B. Ganis
  • M. F. Wheeler

Externe Organisationen

  • University of Texas at Austin
Forschungs-netzwerk anzeigen

Details

OriginalspracheEnglisch
Titel des SammelwerksSociety of Petroleum Engineers - SPE Hydraulic Fracturing Technology Conference 2014
Herausgeber (Verlag)Society of Petroleum Engineers (SPE)
Seiten668-677
Seitenumfang10
ISBN (Print)9781629939964
PublikationsstatusVeröffentlicht - 2014
Extern publiziertJa
VeranstaltungSPE Hydraulic Fracturing Technology Conference 2014 - The Woodlands, TX, USA / Vereinigte Staaten
Dauer: 4 Feb. 20146 Feb. 2014

Publikationsreihe

NameSociety of Petroleum Engineers - SPE Hydraulic Fracturing Technology Conference 2014

Abstract

The design and evaluation of hydraulic fracture modeling is critical for efficient production from tight gas and shale plays. The efficiency of fracturing jobs depends on the interaction between hydraulic (induced) and naturally occurring discrete fractures. We describe a coupled reservoir-fracture flow model which accounts for varying reservoir geometries and complexities including non-planar fractures, faults and barriers. In addition our model is coupled with linear elasticity using iterative coupling to solve a multi-phase Biot system. The approach presented here is in contrast with existing averaging approaches such as dual and discrete-dual porosity models where the effects of fractures are averaged out. We model the fractures and reservoirs explicitly, which allows us to capture the flow details and impact of fractures more accurately. Moreover, accurate modeling of solid deformations necessitates a better estimation of fluid pressure inside fracture, which our flow model provides. We utilize different flow models for the fractures and the reservoir closely capturing physics when needed. A quantitative comparison is made in order to identify situations where a multiphysics flow description is critical to accurate prediction compared to an averaging based approach. We present several numerical tests, including a field scale case study, to illustrate the above features and their impact on recovery predictions.

ASJC Scopus Sachgebiete

Zitieren

Impact of accurate fractured reservoir flow modeling on recovery predictions. / Singh, G.; Pencheva, G.; Kumar, K. et al.
Society of Petroleum Engineers - SPE Hydraulic Fracturing Technology Conference 2014. Society of Petroleum Engineers (SPE), 2014. S. 668-677 (Society of Petroleum Engineers - SPE Hydraulic Fracturing Technology Conference 2014).

Publikation: Beitrag in Buch/Bericht/Sammelwerk/KonferenzbandAufsatz in KonferenzbandForschungPeer-Review

Singh, G, Pencheva, G, Kumar, K, Wick, T, Ganis, B & Wheeler, MF 2014, Impact of accurate fractured reservoir flow modeling on recovery predictions. in Society of Petroleum Engineers - SPE Hydraulic Fracturing Technology Conference 2014. Society of Petroleum Engineers - SPE Hydraulic Fracturing Technology Conference 2014, Society of Petroleum Engineers (SPE), S. 668-677, SPE Hydraulic Fracturing Technology Conference 2014, The Woodlands, TX, USA / Vereinigte Staaten, 4 Feb. 2014. https://doi.org/10.2118/168630-ms
Singh, G., Pencheva, G., Kumar, K., Wick, T., Ganis, B., & Wheeler, M. F. (2014). Impact of accurate fractured reservoir flow modeling on recovery predictions. In Society of Petroleum Engineers - SPE Hydraulic Fracturing Technology Conference 2014 (S. 668-677). (Society of Petroleum Engineers - SPE Hydraulic Fracturing Technology Conference 2014). Society of Petroleum Engineers (SPE). https://doi.org/10.2118/168630-ms
Singh G, Pencheva G, Kumar K, Wick T, Ganis B, Wheeler MF. Impact of accurate fractured reservoir flow modeling on recovery predictions. in Society of Petroleum Engineers - SPE Hydraulic Fracturing Technology Conference 2014. Society of Petroleum Engineers (SPE). 2014. S. 668-677. (Society of Petroleum Engineers - SPE Hydraulic Fracturing Technology Conference 2014). doi: 10.2118/168630-ms
Singh, G. ; Pencheva, G. ; Kumar, K. et al. / Impact of accurate fractured reservoir flow modeling on recovery predictions. Society of Petroleum Engineers - SPE Hydraulic Fracturing Technology Conference 2014. Society of Petroleum Engineers (SPE), 2014. S. 668-677 (Society of Petroleum Engineers - SPE Hydraulic Fracturing Technology Conference 2014).
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abstract = "The design and evaluation of hydraulic fracture modeling is critical for efficient production from tight gas and shale plays. The efficiency of fracturing jobs depends on the interaction between hydraulic (induced) and naturally occurring discrete fractures. We describe a coupled reservoir-fracture flow model which accounts for varying reservoir geometries and complexities including non-planar fractures, faults and barriers. In addition our model is coupled with linear elasticity using iterative coupling to solve a multi-phase Biot system. The approach presented here is in contrast with existing averaging approaches such as dual and discrete-dual porosity models where the effects of fractures are averaged out. We model the fractures and reservoirs explicitly, which allows us to capture the flow details and impact of fractures more accurately. Moreover, accurate modeling of solid deformations necessitates a better estimation of fluid pressure inside fracture, which our flow model provides. We utilize different flow models for the fractures and the reservoir closely capturing physics when needed. A quantitative comparison is made in order to identify situations where a multiphysics flow description is critical to accurate prediction compared to an averaging based approach. We present several numerical tests, including a field scale case study, to illustrate the above features and their impact on recovery predictions.",
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AU - Singh, G.

AU - Pencheva, G.

AU - Kumar, K.

AU - Wick, T.

AU - Ganis, B.

AU - Wheeler, M. F.

N1 - Copyright: Copyright 2020 Elsevier B.V., All rights reserved.

PY - 2014

Y1 - 2014

N2 - The design and evaluation of hydraulic fracture modeling is critical for efficient production from tight gas and shale plays. The efficiency of fracturing jobs depends on the interaction between hydraulic (induced) and naturally occurring discrete fractures. We describe a coupled reservoir-fracture flow model which accounts for varying reservoir geometries and complexities including non-planar fractures, faults and barriers. In addition our model is coupled with linear elasticity using iterative coupling to solve a multi-phase Biot system. The approach presented here is in contrast with existing averaging approaches such as dual and discrete-dual porosity models where the effects of fractures are averaged out. We model the fractures and reservoirs explicitly, which allows us to capture the flow details and impact of fractures more accurately. Moreover, accurate modeling of solid deformations necessitates a better estimation of fluid pressure inside fracture, which our flow model provides. We utilize different flow models for the fractures and the reservoir closely capturing physics when needed. A quantitative comparison is made in order to identify situations where a multiphysics flow description is critical to accurate prediction compared to an averaging based approach. We present several numerical tests, including a field scale case study, to illustrate the above features and their impact on recovery predictions.

AB - The design and evaluation of hydraulic fracture modeling is critical for efficient production from tight gas and shale plays. The efficiency of fracturing jobs depends on the interaction between hydraulic (induced) and naturally occurring discrete fractures. We describe a coupled reservoir-fracture flow model which accounts for varying reservoir geometries and complexities including non-planar fractures, faults and barriers. In addition our model is coupled with linear elasticity using iterative coupling to solve a multi-phase Biot system. The approach presented here is in contrast with existing averaging approaches such as dual and discrete-dual porosity models where the effects of fractures are averaged out. We model the fractures and reservoirs explicitly, which allows us to capture the flow details and impact of fractures more accurately. Moreover, accurate modeling of solid deformations necessitates a better estimation of fluid pressure inside fracture, which our flow model provides. We utilize different flow models for the fractures and the reservoir closely capturing physics when needed. A quantitative comparison is made in order to identify situations where a multiphysics flow description is critical to accurate prediction compared to an averaging based approach. We present several numerical tests, including a field scale case study, to illustrate the above features and their impact on recovery predictions.

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