IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v15y2022i14p5182-d864869.html
   My bibliography  Save this article

Modeling Results for the Real Horizontal Heavy-Oil-Production Well of Mechanical Solids

Author

Listed:
  • Aleksey Dengaev

    (Gubkin Russian State University of Oil and Gas (National Research University), Leninskiy Prospect, 65, 119991 Moscow, Russia)

  • Vladimir Shishulin

    (Gubkin Russian State University of Oil and Gas (National Research University), Leninskiy Prospect, 65, 119991 Moscow, Russia)

  • Elena Safiullina

    (Oil and Gas Faculty, Saint Petersburg Mining University, 199106 St. Petersburg, Russia)

  • Aleksandra Palyanitsina

    (Oil and Gas Faculty, Saint Petersburg Mining University, 199106 St. Petersburg, Russia)

Abstract

Recently, more and more new oil fields entering commercial production are complicated by the content of high-viscosity products, which are located at relatively shallow depths. For the rational development of such fields, a network of horizontal wells is used. A special feature of these objects is a weakly cemented reservoir, which leads to significant sand occurrence during well operation. At the same time, the removal of mechanical impurities cannot be avoided even when using complex measures, including the use of various filters. There are quite a few methods describing the behavior of mechanical impurities in gas–liquid flows. The purpose of the work was to analyze the removal of mechanical impurity particles from horizontal wells with high-viscosity oil. A model of a typical well in the OLGA software was created, and data on the types of particle removal were obtained. As a result of calculations, the quality of removal for different diameters of mechanical impurities was determined, and the dependence of the critical diameter on the well flow rate was constructed.

Suggested Citation

  • Aleksey Dengaev & Vladimir Shishulin & Elena Safiullina & Aleksandra Palyanitsina, 2022. "Modeling Results for the Real Horizontal Heavy-Oil-Production Well of Mechanical Solids," Energies, MDPI, vol. 15(14), pages 1-13, July.
    • Handle: RePEc:gam:jeners:v:15:y:2022:i:14:p:5182-:d:864869
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/15/14/5182/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/15/14/5182/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Yan Yang & Haoping Peng & Chuang Wen, 2019. "Sand Transport and Deposition Behaviour in Subsea Pipelines for Flow Assurance," Energies, MDPI, vol. 12(21), pages 1-12, October.
    2. Ilia Beloglazov & Valentin Morenov & Ekaterina Leusheva & Ove T. Gudmestad, 2021. "Modeling of Heavy-Oil Flow with Regard to Their Rheological Properties," Energies, MDPI, vol. 14(2), pages 1-15, January.
    3. Abdulilah Mohammad Mayet & Seyed Mehdi Alizadeh & Karina Shamilyevna Nurgalieva & Robert Hanus & Ehsan Nazemi & Igor M. Narozhnyy, 2022. "Extraction of Time-Domain Characteristics and Selection of Effective Features Using Correlation Analysis to Increase the Accuracy of Petroleum Fluid Monitoring Systems," Energies, MDPI, vol. 15(6), pages 1-19, March.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Guangjuan Fan & Ting Dong & Yuejun Zhao & Yalou Zhou & Wentong Zhao & Jie Wang & Yilong Wang, 2023. "Establishment and Application of a Pattern for Identifying Sedimentary Microfacies of a Single Horizontal Well: An Example from the Eastern Transition Block in the Daqing Oilfield, Songliao Basin, Chi," Energies, MDPI, vol. 16(20), pages 1-19, October.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Dongze Li & Lei Chen & Qing Miao & Gang Liu & Shuyi Ren & Zhiquan Wang, 2019. "Simplified Layer Model for Solid Particle Clusters in Product Oil Pipelines," Energies, MDPI, vol. 12(24), pages 1-13, December.
    2. Abdulilah Mohammad Mayet & Tzu-Chia Chen & Ijaz Ahmad & Elsayed Tag Eldin & Ali Awadh Al-Qahtani & Igor M. Narozhnyy & John William Grimaldo Guerrero & Hala H. Alhashim, 2022. "Application of Neural Network and Dual-Energy Radiation-Based Detection Techniques to Measure Scale Layer Thickness in Oil Pipelines Containing a Stratified Regime of Three-Phase Flow," Mathematics, MDPI, vol. 10(19), pages 1-13, September.
    3. Victor I. Bolobov & Il’nur U. Latipov & Valentin S. Zhukov & Gregory G. Popov, 2023. "Using the Magnetic Anisotropy Method to Determine Hydrogenated Sections of a Steel Pipeline," Energies, MDPI, vol. 16(15), pages 1-15, July.
    4. Alexander Vitalevich Martirosyan & Yury Valerievich Ilyushin, 2022. "The Development of the Toxic and Flammable Gases Concentration Monitoring System for Coalmines," Energies, MDPI, vol. 15(23), pages 1-13, November.
    5. Mikhail Konstantinovich Rogachev & Thang Nguyen Van & Aleksandr Nikolaevich Aleksandrov, 2021. "Technology for Preventing the Wax Deposit Formation in Gas-Lift Wells at Offshore Oil and Gas Fields in Vietnam," Energies, MDPI, vol. 14(16), pages 1-19, August.
    6. Dmitry Mardashov & Victor Duryagin & Shamil Islamov, 2021. "Technology for Improving the Efficiency of Fractured Reservoir Development Using Gel-Forming Compositions," Energies, MDPI, vol. 14(24), pages 1-14, December.

    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:15:y:2022:i:14:p:5182-:d:864869. 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.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with 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.