YaBeSH Engineering and Technology Library

    • Journals
    • PaperQuest
    • YSE Standards
    • YaBeSH
    • Login
    View Item 
    •   YE&T Library
    • ASME
    • Journal of Energy Resources Technology, Part B: Subsurface Energy and Carbon Capture
    • View Item
    •   YE&T Library
    • ASME
    • Journal of Energy Resources Technology, Part B: Subsurface Energy and Carbon Capture
    • View Item
    • All Fields
    • Source Title
    • Year
    • Publisher
    • Title
    • Subject
    • Author
    • DOI
    • ISBN
    Advanced Search
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Archive

    A Prediction Method of Oil Recovery for Hot Water Chemical Flooding in Heavy Oil Reservoirs: Semi-Analytical Stream Tube Model

    Source: Journal of Energy Resources Technology, Part B: Subsurface Energy and Carbon Capture:;2024:;volume( 001 ):;issue: 002::page 21001-1
    Author:
    Du, Qingjun
    ,
    Shen, Jie
    ,
    Shi, Lina
    ,
    Yu, Jianmei
    ,
    Hou, Jian
    ,
    Xue, Yu
    ,
    Wei, Bei
    ,
    Liu, Yongge
    DOI: 10.1115/1.4066882
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Chemical agents (polymer and surfactant) assisted hot water flooding is an effective means of enhancing oil recovery in heterogeneous and heavy oil reservoirs. The rapid prediction of oil recovery through hot water chemical flooding is very important. The stream tube model is a fast analytical method for predicting water flooding recovery, but it is not suitable for hot water chemical flooding. In this paper, a permeability distribution model for multi-stream tubes is established based on permeability variation coefficient using normal distribution function for reservoir heterogeneity, using Gompertz growth function model to characterize the changes in stream tube temperature, polymer viscosity, and surfactant concentration with injection volume, using Brooks–Corey model to describe the influence of interfacial tension and temperature on the relative permeability curve. Finally, an analytical stream tube model for hot water chemical flooding of heavy oil reservoirs was established. The time-discrete method is used to solve the model, and then, the graphs of the relationship between oil recovery and water cut are obtained. Compared with numerical simulation methods, the prediction error of oil recovery is less than 2%, and the calculation time is reduced by 89%. This model has been successfully applied to X oilfield. Based on historical fitting, it is predicted that hot water chemical flooding can enhance oil recovery by 6.3% compared to water flooding. This paper provides a fast calculation method for predicting and evaluating the effectiveness of hot water chemical flooding in heavy oil reservoirs.
    • Download: (937.0Kb)
    • Show Full MetaData Hide Full MetaData
    • Get RIS
    • Item Order
    • Go To Publisher
    • Price: 5000 Rial
    • Statistics

      A Prediction Method of Oil Recovery for Hot Water Chemical Flooding in Heavy Oil Reservoirs: Semi-Analytical Stream Tube Model

    URI
    http://yetl.yabesh.ir/yetl1/handle/yetl/4306386
    Collections
    • Journal of Energy Resources Technology, Part B: Subsurface Energy and Carbon Capture

    Show full item record

    contributor authorDu, Qingjun
    contributor authorShen, Jie
    contributor authorShi, Lina
    contributor authorYu, Jianmei
    contributor authorHou, Jian
    contributor authorXue, Yu
    contributor authorWei, Bei
    contributor authorLiu, Yongge
    date accessioned2025-04-21T10:31:56Z
    date available2025-04-21T10:31:56Z
    date copyright12/23/2024 12:00:00 AM
    date issued2024
    identifier issn2998-1638
    identifier otherjertb_1_2_021001.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4306386
    description abstractChemical agents (polymer and surfactant) assisted hot water flooding is an effective means of enhancing oil recovery in heterogeneous and heavy oil reservoirs. The rapid prediction of oil recovery through hot water chemical flooding is very important. The stream tube model is a fast analytical method for predicting water flooding recovery, but it is not suitable for hot water chemical flooding. In this paper, a permeability distribution model for multi-stream tubes is established based on permeability variation coefficient using normal distribution function for reservoir heterogeneity, using Gompertz growth function model to characterize the changes in stream tube temperature, polymer viscosity, and surfactant concentration with injection volume, using Brooks–Corey model to describe the influence of interfacial tension and temperature on the relative permeability curve. Finally, an analytical stream tube model for hot water chemical flooding of heavy oil reservoirs was established. The time-discrete method is used to solve the model, and then, the graphs of the relationship between oil recovery and water cut are obtained. Compared with numerical simulation methods, the prediction error of oil recovery is less than 2%, and the calculation time is reduced by 89%. This model has been successfully applied to X oilfield. Based on historical fitting, it is predicted that hot water chemical flooding can enhance oil recovery by 6.3% compared to water flooding. This paper provides a fast calculation method for predicting and evaluating the effectiveness of hot water chemical flooding in heavy oil reservoirs.
    publisherThe American Society of Mechanical Engineers (ASME)
    titleA Prediction Method of Oil Recovery for Hot Water Chemical Flooding in Heavy Oil Reservoirs: Semi-Analytical Stream Tube Model
    typeJournal Paper
    journal volume1
    journal issue2
    journal titleJournal of Energy Resources Technology, Part B: Subsurface Energy and Carbon Capture
    identifier doi10.1115/1.4066882
    journal fristpage21001-1
    journal lastpage21001-11
    page11
    treeJournal of Energy Resources Technology, Part B: Subsurface Energy and Carbon Capture:;2024:;volume( 001 ):;issue: 002
    contenttypeFulltext
    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
    yabeshDSpacePersian
     
    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
    yabeshDSpacePersian