Study on an enhanced simulation method for sulfur deposition characteristics in sour gas reservoirs based on the overlapping grid method.

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Title: Study on an enhanced simulation method for sulfur deposition characteristics in sour gas reservoirs based on the overlapping grid method.
Authors: Guo, Xiao1 (AUTHOR) guoxiao@swpu.edu.cn, Su, Wen-Jing1 (AUTHOR), Wang, Peng-Kun2 (AUTHOR), Wang, Hao-Dong1 (AUTHOR), Wu, Hao-Yu1 (AUTHOR), Wang, Lan1 (AUTHOR)
Source: Petroleum Science & Technology. 2026, Vol. 44 Issue 10, p1547-1571. 25p.
Subject Terms: *Simulation methods & models, *Sulfuration, *Gas reservoirs, *Computer simulation, *Oil reservoir engineering, *Fluid flow, *Rock permeability
Abstract: Sour gas reservoirs face significant challenges during development due to sulfur deposition, which reduces porosity and permeability, impairs near-wellbore flow, and shortens productive lifespans. However, existing models often fail to capture the complex flow dynamics and spatial distribution of sulfur in the near-wellbore area, leading to reduced forecast accuracy. To address this gap, we propose a novel enhanced simulation method based on an overlapping grid method, which allows for accurate modeling of three-phase (gas, liquid, sulfur) flow dynamics while maintaining computational efficiency. Field data validation confirms the method's reliability in accurately predicting sulfur deposition onset and spatial distribution. Sensitivity analysis reveals that lower initial reservoir pressures lead to earlier sulfur deposition, while high sulfur content, low permeability, and high production rates intensify near-wellbore deposition. In contrast, higher permeability promotes a more uniform sulfur distribution. These findings provide actionable insights for designing effective sulfur mitigation strategies, including back-flushing, acidification, and sulfur inhibitors, to preserve permeability and ensure sustained productivity. This study offers a powerful tool for optimizing reservoir management practices, enhancing operational stability, and prolonging the productive lifespan of sour gas reservoirs, with potential long-term benefits for economic sustainability. [ABSTRACT FROM AUTHOR]
Database: Energy & Power Source
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Header DbId: enr
DbLabel: Energy & Power Source
An: 192207252
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PubType: Academic Journal
PubTypeId: academicJournal
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  Label: Title
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  Data: Study on an enhanced simulation method for sulfur deposition characteristics in sour gas reservoirs based on the overlapping grid method.
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  Data: <searchLink fieldCode="JN" term="%22Petroleum+Science+%26+Technology%22">Petroleum Science & Technology</searchLink>. 2026, Vol. 44 Issue 10, p1547-1571. 25p.
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  Data: *<searchLink fieldCode="DE" term="%22Simulation+methods+%26+models%22">Simulation methods & models</searchLink><br />*<searchLink fieldCode="DE" term="%22Sulfuration%22">Sulfuration</searchLink><br />*<searchLink fieldCode="DE" term="%22Gas+reservoirs%22">Gas reservoirs</searchLink><br />*<searchLink fieldCode="DE" term="%22Computer+simulation%22">Computer simulation</searchLink><br />*<searchLink fieldCode="DE" term="%22Oil+reservoir+engineering%22">Oil reservoir engineering</searchLink><br />*<searchLink fieldCode="DE" term="%22Fluid+flow%22">Fluid flow</searchLink><br />*<searchLink fieldCode="DE" term="%22Rock+permeability%22">Rock permeability</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: Sour gas reservoirs face significant challenges during development due to sulfur deposition, which reduces porosity and permeability, impairs near-wellbore flow, and shortens productive lifespans. However, existing models often fail to capture the complex flow dynamics and spatial distribution of sulfur in the near-wellbore area, leading to reduced forecast accuracy. To address this gap, we propose a novel enhanced simulation method based on an overlapping grid method, which allows for accurate modeling of three-phase (gas, liquid, sulfur) flow dynamics while maintaining computational efficiency. Field data validation confirms the method's reliability in accurately predicting sulfur deposition onset and spatial distribution. Sensitivity analysis reveals that lower initial reservoir pressures lead to earlier sulfur deposition, while high sulfur content, low permeability, and high production rates intensify near-wellbore deposition. In contrast, higher permeability promotes a more uniform sulfur distribution. These findings provide actionable insights for designing effective sulfur mitigation strategies, including back-flushing, acidification, and sulfur inhibitors, to preserve permeability and ensure sustained productivity. This study offers a powerful tool for optimizing reservoir management practices, enhancing operational stability, and prolonging the productive lifespan of sour gas reservoirs, with potential long-term benefits for economic sustainability. [ABSTRACT FROM AUTHOR]
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RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1080/10916466.2025.2451671
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 25
        StartPage: 1547
    Subjects:
      – SubjectFull: Simulation methods & models
        Type: general
      – SubjectFull: Sulfuration
        Type: general
      – SubjectFull: Gas reservoirs
        Type: general
      – SubjectFull: Computer simulation
        Type: general
      – SubjectFull: Oil reservoir engineering
        Type: general
      – SubjectFull: Fluid flow
        Type: general
      – SubjectFull: Rock permeability
        Type: general
    Titles:
      – TitleFull: Study on an enhanced simulation method for sulfur deposition characteristics in sour gas reservoirs based on the overlapping grid method.
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          Name:
            NameFull: Guo, Xiao
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            NameFull: Su, Wen-Jing
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            NameFull: Wang, Peng-Kun
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            NameFull: Wang, Hao-Dong
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            NameFull: Wu, Hao-Yu
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            NameFull: Wang, Lan
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            – D: 15
              M: 05
              Text: 2026
              Type: published
              Y: 2026
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              Value: 44
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              Value: 10
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            – TitleFull: Petroleum Science & Technology
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