Visualization of drained rock volume (DRV) in hydraulically fractured reservoirs with and without natural fractures using complex analysis methods (CAMs)

Abstract The drainage areas (and volumes) near hydraulically fractured wells, computed and visualized in our study at high resolution, may be critically affected by the presence of natural fractures. Using a recently developed algorithm based on complex analysis methods (CAMs), the drained rock volu...

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Autores principales: Aadi Khanal, Ruud Weijermars
Formato: article
Lenguaje:EN
Publicado: KeAi Communications Co., Ltd. 2019
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Acceso en línea:https://doaj.org/article/2522d53112e94a548f6cdb91855c2d49
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spelling oai:doaj.org-article:2522d53112e94a548f6cdb91855c2d492021-12-02T09:36:07ZVisualization of drained rock volume (DRV) in hydraulically fractured reservoirs with and without natural fractures using complex analysis methods (CAMs)10.1007/s12182-019-0315-91672-51071995-8226https://doaj.org/article/2522d53112e94a548f6cdb91855c2d492019-04-01T00:00:00Zhttp://link.springer.com/article/10.1007/s12182-019-0315-9https://doaj.org/toc/1672-5107https://doaj.org/toc/1995-8226Abstract The drainage areas (and volumes) near hydraulically fractured wells, computed and visualized in our study at high resolution, may be critically affected by the presence of natural fractures. Using a recently developed algorithm based on complex analysis methods (CAMs), the drained rock volume (DRV) is visualized for a range of synthetic constellations of natural fractures near hydraulic fractures. First, flow interference effects near a single hydraulic fracture are systematically investigated for a variety of natural fracture sets. The permeability contrast between the matrix and the natural fractures is increased stepwise in order to better understand the effect on the DRV. Next, a larger-scale model investigates flow interference for a full hydraulically fractured well with a variety of natural fracture sets. The time of flight contours (TOFCs) outlining the DRV are for all cases with natural fractures compared to a base case without any natural fractures. Discrete natural fractures, with different orientations, hydraulic conductivity, and fracture density, may shift the TOFC patterns in the reservoir region drained by the hydraulically fractured well, essentially shifting the location of the well’s drainage area. The CAM-based models provide a computationally efficient method to quantify and visualize the drainage in both naturally and hydraulically fractured reservoirs.Aadi KhanalRuud WeijermarsKeAi Communications Co., Ltd.articleNatural fractureDrained rock volumeDrainage area distortionHydraulic fracturesScienceQPetrologyQE420-499ENPetroleum Science, Vol 16, Iss 3, Pp 550-577 (2019)
institution DOAJ
collection DOAJ
language EN
topic Natural fracture
Drained rock volume
Drainage area distortion
Hydraulic fractures
Science
Q
Petrology
QE420-499
spellingShingle Natural fracture
Drained rock volume
Drainage area distortion
Hydraulic fractures
Science
Q
Petrology
QE420-499
Aadi Khanal
Ruud Weijermars
Visualization of drained rock volume (DRV) in hydraulically fractured reservoirs with and without natural fractures using complex analysis methods (CAMs)
description Abstract The drainage areas (and volumes) near hydraulically fractured wells, computed and visualized in our study at high resolution, may be critically affected by the presence of natural fractures. Using a recently developed algorithm based on complex analysis methods (CAMs), the drained rock volume (DRV) is visualized for a range of synthetic constellations of natural fractures near hydraulic fractures. First, flow interference effects near a single hydraulic fracture are systematically investigated for a variety of natural fracture sets. The permeability contrast between the matrix and the natural fractures is increased stepwise in order to better understand the effect on the DRV. Next, a larger-scale model investigates flow interference for a full hydraulically fractured well with a variety of natural fracture sets. The time of flight contours (TOFCs) outlining the DRV are for all cases with natural fractures compared to a base case without any natural fractures. Discrete natural fractures, with different orientations, hydraulic conductivity, and fracture density, may shift the TOFC patterns in the reservoir region drained by the hydraulically fractured well, essentially shifting the location of the well’s drainage area. The CAM-based models provide a computationally efficient method to quantify and visualize the drainage in both naturally and hydraulically fractured reservoirs.
format article
author Aadi Khanal
Ruud Weijermars
author_facet Aadi Khanal
Ruud Weijermars
author_sort Aadi Khanal
title Visualization of drained rock volume (DRV) in hydraulically fractured reservoirs with and without natural fractures using complex analysis methods (CAMs)
title_short Visualization of drained rock volume (DRV) in hydraulically fractured reservoirs with and without natural fractures using complex analysis methods (CAMs)
title_full Visualization of drained rock volume (DRV) in hydraulically fractured reservoirs with and without natural fractures using complex analysis methods (CAMs)
title_fullStr Visualization of drained rock volume (DRV) in hydraulically fractured reservoirs with and without natural fractures using complex analysis methods (CAMs)
title_full_unstemmed Visualization of drained rock volume (DRV) in hydraulically fractured reservoirs with and without natural fractures using complex analysis methods (CAMs)
title_sort visualization of drained rock volume (drv) in hydraulically fractured reservoirs with and without natural fractures using complex analysis methods (cams)
publisher KeAi Communications Co., Ltd.
publishDate 2019
url https://doaj.org/article/2522d53112e94a548f6cdb91855c2d49
work_keys_str_mv AT aadikhanal visualizationofdrainedrockvolumedrvinhydraulicallyfracturedreservoirswithandwithoutnaturalfracturesusingcomplexanalysismethodscams
AT ruudweijermars visualizationofdrainedrockvolumedrvinhydraulicallyfracturedreservoirswithandwithoutnaturalfracturesusingcomplexanalysismethodscams
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