IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v13y2020i6p1522-d336118.html
   My bibliography  Save this article

Numerical Simulation of Sulfur Deposit with Particle Release

Author

Listed:
  • Zhongyi Xu

    (State Key Laboratory of Shale Oil and Gas Enrichment Mechanisms and Effective Development, Beijing 100083 China
    Sinopec Petroleum Exploration and Production Research Institute, Beijing 100083, China)

  • Shaohua Gu

    (State Key Laboratory of Shale Oil and Gas Enrichment Mechanisms and Effective Development, Beijing 100083 China
    Sinopec Petroleum Exploration and Production Research Institute, Beijing 100083, China)

  • Daqian Zeng

    (State Key Laboratory of Shale Oil and Gas Enrichment Mechanisms and Effective Development, Beijing 100083 China
    Sinopec Petroleum Exploration and Production Research Institute, Beijing 100083, China)

  • Bing Sun

    (State Key Laboratory of Shale Oil and Gas Enrichment Mechanisms and Effective Development, Beijing 100083 China
    Sinopec Petroleum Exploration and Production Research Institute, Beijing 100083, China)

  • Liang Xue

    (State Key Laboratory of Petroleum Resources and Prospecting, China University of Petroleum - Beijing, Beijing 102249, China
    Department of Oil-Gas Field Development Engineering, College of Petroleum Engineering, China University of Petroleum - Beijing, Beijing 102249, China)

Abstract

Sulfur deposition commonly occurs during the development of a high-sulfur gas reservoirs. Due to the high gas flow velocity near the wellbore, some of the deposited sulfur particles re-enter the pores and continue to migrate driven by the high-speed gas flow. The current mathematical model for sulfur deposition ignores the viscosity between particles, rising flow caused by turbulence, and the corresponding research on the release ratio of particles. In order to solve the above problems, firstly, the viscous force and rising force caused by turbulence disturbance are introduced, and the critical release velocity of sulfur particles is derived. Then, a release model of sulfur particles that consider the critical release velocity and release ratio is proposed by combining the probability theory with the hydrodynamics theory. Notably, based on the experimental data, the deposition ratio of sulfur particles and the damage coefficient in the sulfur damage model are determined. Finally, a comprehensive particle migration model considering the deposition and release of sulfur particles is established. The model is then applied to the actual gas wells with visible sulfur deposition that target the Da-wan gas reservoir, and the results show that the model correctly reflects flow transport during the process of sulfur deposition in porous media. In addition, through the numerical simulation experiments, it was found that considering the release of sulfur particles reduces the saturation of sulfur particles within a specific range around the well and improve the reservoir permeability in this range. From the perspective of gas production rate, the release of sulfur particles has a limited effect on the gas production rate, which is mainly due to the sulfur particle release being limited, having only a 5 m range near the wellbore area, and thus the amount of gas flow from the unaffected area is basically unchanged.

Suggested Citation

  • Zhongyi Xu & Shaohua Gu & Daqian Zeng & Bing Sun & Liang Xue, 2020. "Numerical Simulation of Sulfur Deposit with Particle Release," Energies, MDPI, vol. 13(6), pages 1-12, March.
  • Handle: RePEc:gam:jeners:v:13:y:2020:i:6:p:1522-:d:336118
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/13/6/1522/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1996-1073/13/6/1522/
    Download Restriction: no
    ---><---

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jeners:v:13:y:2020:i:6:p:1522-:d:336118. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.