Study on Numerical Methods for Gas Flow Simulation Using Double-Porosity Double-Permeability Model
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Wang Y, Sun S, Gong L (2018).pdf
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Conference PaperAuthors
Wang, YiSun, Shuyu
Gong, Liang
KAUST Department
Computational Transport Phenomena LabEarth Science and Engineering Program
Physical Science and Engineering (PSE) Division
KAUST Grant Number
BAS/1/1351-01-01Date
2018-06-12Online Publication Date
2018-06-12Print Publication Date
2018Permanent link to this record
http://hdl.handle.net/10754/628320
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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 NatureConference/Event name
18th International Conference on Computational Science, ICCS 2018Additional Links
https://link.springer.com/chapter/10.1007%2F978-3-319-93713-7_10ae974a485f413a2113503eed53cd6c53
10.1007/978-3-319-93713-7_10