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    Study on Numerical Methods for Gas Flow Simulation Using Double-Porosity Double-Permeability Model

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    Name:
    Wang Y, Sun S, Gong L (2018).pdf
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    Type
    Conference Paper
    Authors
    Wang, Yi
    Sun, Shuyu
    Gong, Liang
    KAUST Department
    Computational Transport Phenomena Lab
    Earth Science and Engineering Program
    Physical Science and Engineering (PSE) Division
    KAUST Grant Number
    BAS/1/1351-01-01
    Date
    2018-06-12
    Online Publication Date
    2018-06-12
    Print Publication Date
    2018
    Permanent link to this record
    http://hdl.handle.net/10754/628320
    
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    Abstract
    In this paper, we firstly study numerical methods for gas flow simulation in dual-continuum porous media. Typical methods for oil flow simulation in dual-continuum porous media cannot be used straightforward to this kind of simulation due to the artificial mass loss caused by the compressibility and the non-robustness caused by the non-linear source term. To avoid these two problems, corrected numerical methods are proposed using mass balance equations and local linearization of the non-linear source term. The improved numerical methods are successful for the computation of gas flow in the double-porosity double-permeability porous media. After this improvement, temporal advancement for each time step includes three fractional steps: (i) advance matrix pressure and fracture pressure using the typical computation; (ii) solve the mass balance equation system for mean pressures; (iii) correct pressures in (i) by mean pressures in (ii). Numerical results show that mass conservation of gas for the whole domain is guaranteed while the numerical computation is robust.
    Citation
    Wang Y, Sun S, Gong L (2018) Study on Numerical Methods for Gas Flow Simulation Using Double-Porosity Double-Permeability Model. Computational Science – ICCS 2018: 129–138. Available: http://dx.doi.org/10.1007/978-3-319-93713-7_10.
    Sponsors
    The work presented in this paper has been supported by National Natural Science Foundation of China (NSFC) (No. 51576210, No. 51676208), Science Foundation of China University of Petroleum-Beijing (No. 2462015BJB03), and also supported in part by funding from King Abdullah University of Science and Technology (KAUST) through the grant BAS/1/1351-01-01.
    Publisher
    Springer Nature
    Journal
    Computational Science – ICCS 2018
    Conference/Event name
    18th International Conference on Computational Science, ICCS 2018
    DOI
    10.1007/978-3-319-93713-7_10
    Additional Links
    https://link.springer.com/chapter/10.1007%2F978-3-319-93713-7_10
    ae974a485f413a2113503eed53cd6c53
    10.1007/978-3-319-93713-7_10
    Scopus Count
    Collections
    Conference Papers; Physical Science and Engineering (PSE) Division; Earth Science and Engineering Program; Computational Transport Phenomena Lab

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