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    Numerical investigation of carbonate acidizing with gelled acid using a coupled thermal–hydrologic–chemical model

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    numerical investigations.pdf
    Size:
    7.629Mb
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    PDF
    Description:
    Accepted manuscript
    Embargo End Date:
    2022-10-23
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    Type
    Article
    Authors
    Liu, Piyang
    Li, Jingfa
    Sun, Shuyu cc
    Yao, Jun
    Zhang, Kai
    KAUST Department
    Computational Transport Phenomena Lab
    Earth Science and Engineering Program
    Physical Science and Engineering (PSE) Division
    Date
    2020-10-23
    Embargo End Date
    2022-10-23
    Submitted Date
    2019-09-18
    Permanent link to this record
    http://hdl.handle.net/10754/665726
    
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    Abstract
    In this work, an experiment-based rheological model that accounts for the influence of polymer concentration, shear-thinning behavior, and temperature variation on the in-situ viscosity of gelled acid is developed. On the basis of the rheological model, we present a thermal–hydrologic–chemical coupled model that describes the dissolution process of carbonate acidization with gelled acid. A sensitivity analysis of the dissolution dynamic regarding the temperature variation, polymer adsorption, and non-Newtonian behavior of the injected acid is carried out. The comparison of acidization curves and dissolution patterns obtained by injecting gelled acid and HCl is conducted. It is found that the optimal dissolution regime for gelled acid has a much wider range than neat HCl. It is observed from the numerical simulations that reservoir temperature and rheological parameters of the acid are key factors that affect acidizing efficiency, while the effect of polymer adsorption can be ignored. In addition, several recommendations for optimal stimulation of carbonates with gelled acids are provided.
    Citation
    Liu, P., Li, J., Sun, S., Yao, J., & Zhang, K. (2021). Numerical investigation of carbonate acidizing with gelled acid using a coupled thermal–hydrologic–chemical model. International Journal of Thermal Sciences, 160, 106700. doi:10.1016/j.ijthermalsci.2020.106700
    Sponsors
    The authors gratefully acknowledge the support from the National Natural Science Foundation of China (No. 51804325, 51904031), the China Postdoctoral Science Foundation (No. 2019M652508), and the National Natural Science Foundation of China (No. 51874262).
    Publisher
    Elsevier BV
    Journal
    International Journal of Thermal Sciences
    DOI
    10.1016/j.ijthermalsci.2020.106700
    Additional Links
    https://linkinghub.elsevier.com/retrieve/pii/S1290072920311467
    ae974a485f413a2113503eed53cd6c53
    10.1016/j.ijthermalsci.2020.106700
    Scopus Count
    Collections
    Articles; Physical Science and Engineering (PSE) Division; Earth Science and Engineering Program; Computational Transport Phenomena Lab

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