A Semianalytical Model for Multiple-Fractured Horizontal Wells with SRV in Tight Oil Reservoirs

A Semianalytical Model for Multiple-Fractured Horizontal Wells with SRV in Tight Oil Reservoirs

The paper developed a new semianalytical model for multiple-fractured horizontal wells (MFHWs) with stimulated reservoir volume (SRV) in tight oil reservoirs by combining source function theory with boundary element idea. The model is first validated by both analytical and numerical model. Then new...

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Main Authors: Jiahang Wang, Xiaodong Wang, Wenxiu Dong
Format: Article
Language:English
Published: Hindawi-Wiley 2017-01-01
Series:Geofluids
Online Access:http://dx.doi.org/10.1155/2017/2632896
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spelling doaj-b81a157f3f9448e6bfb64f662d5a3cb62020-11-24T23:34:59ZengHindawi-WileyGeofluids1468-81151468-81232017-01-01201710.1155/2017/26328962632896A Semianalytical Model for Multiple-Fractured Horizontal Wells with SRV in Tight Oil ReservoirsJiahang Wang0Xiaodong Wang1Wenxiu Dong2School of Energy Resource, China University of Geosciences (Beijing), Beijing 100083, ChinaSchool of Energy Resource, China University of Geosciences (Beijing), Beijing 100083, ChinaSchool of Energy Resource, China University of Geosciences (Beijing), Beijing 100083, ChinaThe paper developed a new semianalytical model for multiple-fractured horizontal wells (MFHWs) with stimulated reservoir volume (SRV) in tight oil reservoirs by combining source function theory with boundary element idea. The model is first validated by both analytical and numerical model. Then new type curves are established. Finally, the effects of SRV shape, SRV size, SRV permeability, and parameters of hydraulic fractures are discussed. Results show that SRV has great influence on the pressure response of MFHWs; the parameters of fractures, such as fracture distribution, length, and conductivity, also can affect the transient pressure of MFHWs. One novelty of this model is to consider the nonlinear flow around hydraulic fracture tips. The other novelty is the ability to model the shape of the SRV, production behavior of different fractures, and interfaces. Compared to numerical and analytic methods, this model can not only reduce extensive computing processing but also show high accuracy.http://dx.doi.org/10.1155/2017/2632896
collection DOAJ
language English
format Article
sources DOAJ
author Jiahang Wang
Xiaodong Wang
Wenxiu Dong
spellingShingle Jiahang Wang
Xiaodong Wang
Wenxiu Dong
A Semianalytical Model for Multiple-Fractured Horizontal Wells with SRV in Tight Oil Reservoirs
Geofluids
author_facet Jiahang Wang
Xiaodong Wang
Wenxiu Dong
author_sort Jiahang Wang
title A Semianalytical Model for Multiple-Fractured Horizontal Wells with SRV in Tight Oil Reservoirs
title_short A Semianalytical Model for Multiple-Fractured Horizontal Wells with SRV in Tight Oil Reservoirs
title_full A Semianalytical Model for Multiple-Fractured Horizontal Wells with SRV in Tight Oil Reservoirs
title_fullStr A Semianalytical Model for Multiple-Fractured Horizontal Wells with SRV in Tight Oil Reservoirs
title_full_unstemmed A Semianalytical Model for Multiple-Fractured Horizontal Wells with SRV in Tight Oil Reservoirs
title_sort semianalytical model for multiple-fractured horizontal wells with srv in tight oil reservoirs
publisher Hindawi-Wiley
series Geofluids
issn 1468-8115
1468-8123
publishDate 2017-01-01
description The paper developed a new semianalytical model for multiple-fractured horizontal wells (MFHWs) with stimulated reservoir volume (SRV) in tight oil reservoirs by combining source function theory with boundary element idea. The model is first validated by both analytical and numerical model. Then new type curves are established. Finally, the effects of SRV shape, SRV size, SRV permeability, and parameters of hydraulic fractures are discussed. Results show that SRV has great influence on the pressure response of MFHWs; the parameters of fractures, such as fracture distribution, length, and conductivity, also can affect the transient pressure of MFHWs. One novelty of this model is to consider the nonlinear flow around hydraulic fracture tips. The other novelty is the ability to model the shape of the SRV, production behavior of different fractures, and interfaces. Compared to numerical and analytic methods, this model can not only reduce extensive computing processing but also show high accuracy.
url http://dx.doi.org/10.1155/2017/2632896
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