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Numerical Simulation Study on Optimization of Multiparameter Combination for Horizontal Well Fracturing in Nonhomogeneous Conglomerate Reservoirs.

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Title: Numerical Simulation Study on Optimization of Multiparameter Combination for Horizontal Well Fracturing in Nonhomogeneous Conglomerate Reservoirs.
Authors: Xu, Zehao1 (AUTHOR) zeh_xu@163.com, Zhao, Haiyang1 (AUTHOR), Liu, Xiangjun2 (AUTHOR), Zhang, Xiong1 (AUTHOR), Luo, Pandeng1 (AUTHOR), Liang, Lixi2 (AUTHOR), Mishra, Pramita (AUTHOR) pmishra@wiley.com
Source: Geofluids. 8/1/2025, Vol. 2025, p1-24. 24p.
Subjects: Azimuth, Hydraulic fracturing, Computer simulation, Mathematical programming, Deviatoric stress (Engineering), Management science, Petroleum reservoirs
Abstract: Optimizing multicluster fracturing designs in heterogeneous conglomerate reservoirs is critical due to their complex characteristics. This study employs the continuous–discontinuous element method (CDEM) to conduct engineering‐scale 3D simulations using a mathematical model incorporating rock strength heterogeneity. A predictive model relating stimulated reservoir volume (SRV) to in situ stress, stage, cluster parameters, and well azimuth was developed, with SRV maximization as the objective. Results demonstrate that larger stage lengths combined with increased cluster counts enhance SRV as stress difference increases. However, a significant bottleneck in SRV growth occurs once the stress difference exceeds 20 MPa, rendering further stage/cluster adjustments ineffective. Crucially, the optimal stage/cluster combination depends strongly on well azimuth. For conglomerate reservoirs with high stress differences, strategically adjusting the well azimuth can increase fracture complexity, effectively overcoming the SRV bottleneck and enabling sustained high SRV even under elevated stress differences. [ABSTRACT FROM AUTHOR]
Copyright of Geofluids is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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  Label: Title
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  Data: Numerical Simulation Study on Optimization of Multiparameter Combination for Horizontal Well Fracturing in Nonhomogeneous Conglomerate Reservoirs.
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  Data: <searchLink fieldCode="AR" term="%22Xu%2C+Zehao%22">Xu, Zehao</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> zeh_xu@163.com</i><br /><searchLink fieldCode="AR" term="%22Zhao%2C+Haiyang%22">Zhao, Haiyang</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Liu%2C+Xiangjun%22">Liu, Xiangjun</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Zhang%2C+Xiong%22">Zhang, Xiong</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Luo%2C+Pandeng%22">Luo, Pandeng</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Liang%2C+Lixi%22">Liang, Lixi</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Mishra%2C+Pramita%22">Mishra, Pramita</searchLink> (AUTHOR)<i> pmishra@wiley.com</i>
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  Data: <searchLink fieldCode="JN" term="%22Geofluids%22">Geofluids</searchLink>. 8/1/2025, Vol. 2025, p1-24. 24p.
– Name: Subject
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  Data: <searchLink fieldCode="DE" term="%22Azimuth%22">Azimuth</searchLink><br /><searchLink fieldCode="DE" term="%22Hydraulic+fracturing%22">Hydraulic fracturing</searchLink><br /><searchLink fieldCode="DE" term="%22Computer+simulation%22">Computer simulation</searchLink><br /><searchLink fieldCode="DE" term="%22Mathematical+programming%22">Mathematical programming</searchLink><br /><searchLink fieldCode="DE" term="%22Deviatoric+stress+%28Engineering%29%22">Deviatoric stress (Engineering)</searchLink><br /><searchLink fieldCode="DE" term="%22Management+science%22">Management science</searchLink><br /><searchLink fieldCode="DE" term="%22Petroleum+reservoirs%22">Petroleum reservoirs</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: Optimizing multicluster fracturing designs in heterogeneous conglomerate reservoirs is critical due to their complex characteristics. This study employs the continuous–discontinuous element method (CDEM) to conduct engineering‐scale 3D simulations using a mathematical model incorporating rock strength heterogeneity. A predictive model relating stimulated reservoir volume (SRV) to in situ stress, stage, cluster parameters, and well azimuth was developed, with SRV maximization as the objective. Results demonstrate that larger stage lengths combined with increased cluster counts enhance SRV as stress difference increases. However, a significant bottleneck in SRV growth occurs once the stress difference exceeds 20 MPa, rendering further stage/cluster adjustments ineffective. Crucially, the optimal stage/cluster combination depends strongly on well azimuth. For conglomerate reservoirs with high stress differences, strategically adjusting the well azimuth can increase fracture complexity, effectively overcoming the SRV bottleneck and enabling sustained high SRV even under elevated stress differences. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Geofluids is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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RecordInfo BibRecord:
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    Identifiers:
      – Type: doi
        Value: 10.1155/gfl/6004514
    Languages:
      – Code: eng
        Text: English
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      Pagination:
        PageCount: 24
        StartPage: 1
    Subjects:
      – SubjectFull: Azimuth
        Type: general
      – SubjectFull: Hydraulic fracturing
        Type: general
      – SubjectFull: Computer simulation
        Type: general
      – SubjectFull: Mathematical programming
        Type: general
      – SubjectFull: Deviatoric stress (Engineering)
        Type: general
      – SubjectFull: Management science
        Type: general
      – SubjectFull: Petroleum reservoirs
        Type: general
    Titles:
      – TitleFull: Numerical Simulation Study on Optimization of Multiparameter Combination for Horizontal Well Fracturing in Nonhomogeneous Conglomerate Reservoirs.
        Type: main
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      – PersonEntity:
          Name:
            NameFull: Xu, Zehao
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            NameFull: Zhao, Haiyang
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            NameFull: Liu, Xiangjun
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            NameFull: Zhang, Xiong
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            NameFull: Luo, Pandeng
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            NameFull: Liang, Lixi
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            – D: 01
              M: 08
              Text: 8/1/2025
              Type: published
              Y: 2025
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              Value: 14688115
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            – Type: volume
              Value: 2025
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            – TitleFull: Geofluids
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