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A code for the 2D simulation of the steady-state fluid flow in porous blocks containing transmissive fractures Cover

A code for the 2D simulation of the steady-state fluid flow in porous blocks containing transmissive fractures

Open Access
|Jun 2025

References

  1. Barenblatt, G.I., Zheltov, Yu.P., Kochina, I.N.,1960. Prikl. Mat. Mekh, 24, 5, 1286–1303.
  2. Bear, J., Cheng, A.H.D., 2010. Modelling groundwater flow and contaminant transport. Springer, 834p.
  3. Benke, R., Painter, S., 2003. Modeling conservative tracer transport in fracture networks with a hybrid approach based on the Boltzmann transport equation. Water Resour. Res., 39, 11, 1324.
  4. Berrone, S., Borio, A., Fidelibus, C., Pieraccini, S., Scialò, S., Vicini, F., 2018. Advanced computation of steady-state fluid flow in discrete fracture-matrix models: FEM-BEM and VEM-VEM fracture-block coupling. GEM Int. J. Geomath., 9, 2, 377–399.
  5. Brebbia, C.A., Dominguez, J., 1992. Boundary Elements: An Introductory Course. WIT Press, Southampton, UK.
  6. Březina, J., Stebel, J., 2016. Analysis of Model Error for a Continuum-Fracture Model of Porous Media Flow. In: Kozubek, T., Blaheta, R., Šístek, J., Rozložník, M., Čermák, M. (eds), High Performance Computing in Science and Engineering 2015. Lecture Notes in Computer Science, vol 9611, Springer, Cham.
  7. Bruel, D., 2007. Using the migration of the induced seismicity as a constraint for fractured hot dry rock reservoir modelling. Int. J. Rock Mech. Min. Sci., 44, 1106–1117.
  8. Cacas, M.C., Ledoux, E., de Marsily, G., Barbreau, A., Calmels, P., Gaillard, B., Margrita, R., 1990. Modelling fracture flow with a stochastic discrete fracture network: calibration and validation - the transport model. Water Resour. Res., 26, 3, 491–500.
  9. Cacas, M.C., Ledoux, E., de Marsily, G., Tillie, B., Barbreau, A., Durand, E., Feuga, B., Paudecerf, P., 1990. Modeling fracture flow with a stochastic discrete fracture network: calibration and validation: 1. The flow model. Water Resour. Res., 26, 3, 479–489.
  10. Chen, Z., Liao, X., Sepehrnoori, K., Yu, W., 2018. A semianalytical model for pressure-transient analysis of fractured wells in unconventional plays with arbitrarily distributed discrete fractures. Soc. Pet. Eng. J., 23, 2041–2059.
  11. COMSOL AB, 2024. COMSOL Multiphysics® v. 6.3, Stockholm, Sweden.
  12. de Dreuzy, J.R., Davy, P., Bour, O., 2001. Hydraulic properties of two dimensional random networks following a power law length distribution: 1. Effective connectivity. Water Resour. Res., 37, 8, 2065–2078.
  13. Dershowitz, W.S., Einstein, H.H., 1988. Characterizing rock joint geometry with joint system models. Rock Mech. Rock. Eng., 21, 21–51.
  14. Dershowitz, W.S., Fidelibus, C., 1999. Derivation of equivalent pipe network analogues for three-dimensional discrete fracture networks by boundary element method. Water Resour. Res., 35, 9, 2685–2691.
  15. Huang, N., Jiang, Y., Liu, R., Li, B., 2017. Estimation of permeability of 3-D discrete fracture networks: an alternative possibility based on trace map analysis. Eng. Geol., 226, 12–19.
  16. Hyman, J.D., Dentz, M., Hagberg, A., Kang, P.K., 2019. Linking structural and transport properties in three-dimensional fracture networks. J. Geophys. Res. Solid Earth, 124, 1185–2104.
  17. Kang, P., Le Borgne, T., Dentz, M., Bour, O., Juanes, R., 2015. Impact of velocity correlation and distribution on transport in fractured media: field evidence and theoretical model. Water Resour. Res., 51, 940–959.
  18. Lee, S.H., Lough, M.F., Jensen, C.L., 2001. Hierarchical modelling of flow in naturally fractured formations with multiple length scales. Water Resour. Res., 37, 3, 443–355.
  19. Lenti, V., Fidelibus, C., 2003. A BEM solution of steady-state flow problems in discrete fracture networks with minimization of core storage. Comput. Geosci., 29, 9, 1183–1190.
  20. Li, P., Schanz, M., 2013. Time domain boundary element formulation for partially saturated poroelasticity. Eng. Anal. Bound. Elem., 37, 11, 1483–1498.
  21. Long, J.C.S., Remer, J.S., Wilson, C.R., Witherspoon, P.A., 1982. Porous media equivalents for networks of discontinuous fractures. Water Resour. Res., 18, 3, 645–658.
  22. Lough, M.F., Lee, S.H., Kamath, J., 1998. An efficient boundary integral formulation for flow through fractured porous media. J. Comput. Phys., 143, 462–483.
  23. Martin, V., Jaffré, J., Roberts, J.E., 2005. Modeling fractures and barriers as interfaces for flow in porous media, SIAM J. Sci. Comput., 26, 1667–1691.
  24. Neuman, S.P., 2005. Trends, prospects and challenges in quantifying flow and transport through fractured rocks. Hydrogeol. J., 13, 124–147.
  25. Nieber, J.L., Sidle, R.C., 2010. How do disconnected macropores in sloping soils facilitate preferential flow? Hydrol. Process. 24, 1582–1594.
  26. Pan, J.B., Lee, C.C., Lee, C.H., Yeh, H.F., Lin, H.I., 2010. Application of fracture network model with crack permeability tensor on flow and transport in fractured rock. Eng. Geol., 116, 166–177.
  27. Pichot, G., Erhel, J., De Dreuzy, J., 2012. A generalized mixed hybrid mortar method for solving flow in stochastic discrete fracture networks. SIAM J. Sci. Comput., 34, 1, B86–B105.
  28. Priest, S.D., 1993. Discontinuity Analysis for Rock Engineering. Chapman and Hall, London
  29. Pruess, K., Narasimhan, T., 1985. Practical method for modelling fluid and heat flow in porous media. Soc. Pet. Eng. J., 25, 14–26.
  30. Rasmussen, T.C., 1991. Steady fluid flow and travel times in partially saturated fractures using a discrete air-water interface. Water Resour. Res., 27, 1, 67–76.
  31. Rasmussen, T.C., Yeh, T.C.J., Evans, D.D., 1989. Effect of variable fracture permeability/matrix permeability ratios on three-dimensional fractured rock hydraulic conductivity. Battelle Columbus Division, OH, pp. 337–358.
  32. Reeves, D.M., Parashar, R., Pohlmann, K., Russell, C., Chapman, J., 2014. Development and calibration of dual-permeability models with discontinuous fault networks. Vadose Zone J., 13, 8.
  33. Reichenberger, V., Jakobs, H., Bastian, P., Helmig, R., 2006. A mixed-dimensional finite volume method for two-phase flow in fractured porous media, Adv. Water Resour., 29, 1020–1036.
  34. Ren, F., Ma, G., Fan, L., Wang, Y., Zhu, H., 2017. Equivalent discrete fracture networks for modelling fluid flow in highly fractured rock mass. Eng. Geol., 229, 21–30.
  35. Renshaw, C.E., 1999. Connectivity of joint networks with power law length distributions. Water Resour. Res., 35, 9, 2661–2670.
  36. Ronayne, M.J., Gorelick, S.M., 2006. Effective permeability of porous media containing branching channel networks. Phys. Rev. E, 73, 026305.
  37. Samardzioska, T., Popov, V., 2005. Numerical comparison of the equivalent continuum, non-homogeneous and dual porosity models for flow and transport in fractured porous media. Adv. Water Resour., 28, 235–255.
  38. Sandve T.H., Berre I., Nordbotten, J.M., 2012. An efficient multi-point flux approximation method for discrete fracture– matrix simulations. J. Comput. Phys., 231, 3784–3800.
  39. Shapiro, A. M., Andersson, J., 1983. Steady state fluid response in fractured rock: A boundary element solution for a coupled, discrete fracture continuum model. Water Resour. Res., 19, 4, 959–969.
  40. Shapiro, A.M., Andersson, J., 1985. Simulation of steady-state flow in three-dimensional fracture networks using the boundary element method. Adv. Water Resour., 8, 3, 106–110.
  41. Therrien, R., Sudicky, E.A., 1996. Three-dimensional analysis of variably-saturated flow and solute transport in discretely-fractured porous media. J. Contam. Hydrol., 23, 1–44.
  42. Wang, B., Feng, Y., Zhou, X., Pieraccini, S., Scialò, S., Fidelibus, C., 2022. Discontinuous boundary elements for steady-state fluid flow problems in discrete fracture networks. Adv. Water Resour., 161, 104125.
  43. Xu, C., Dowd, P.A., 2014. Stochastic fracture propagation modelling for enhanced geothermal systems. Math. Geosci., 46, 665–690.
  44. Xu, C., Dowd, P.A., Nguyen, N., Wang, W. J., 2020. Non-parametric three-dimensional fracture modelling from fracture mapping data, in special issue: “Statistical analysis and modelling of fractures and fracture networks in rock masses” of Boletín Geológico y Minero, 131 (3): 401–422.
  45. Xu, C., Dowd, P.A., Wyborn, D., 2013. Optimisation of a stochastic rock fracture model using Markov Chain Monte Carlo simulation. Min. Tech. Trans. Inst. Min. Metall. A, 122, 3, 153–158.
  46. Xu, C., Fidelibus, C., Dowd, P., Wang, Z., Tian, Z., 2018. An iterative procedure for the simulation of the steady-state fluid flow in rock fracture networks. Eng. Geol., 242, 160–168.
  47. Xu, C., Fidelibus, C., Dowd, P.A., 2014. Realistic pipe models for flow modelling in discrete fracture networks. Proceedings of DFNE2014, Vancouver, Canada.
  48. Yang, R., Huang, Z., Yu, W., Li, G., Ren, W., Zuo, L., Tan, X., Sepehrnoori, K., Tian, S., Sheng, M., 2016. A comprehensive model for real gas transport in shale formations with complex non-planar fracture networks. Sci. Rep., 6, 36673.
DOI: https://doi.org/10.2478/johh-2025-0008 | Journal eISSN: 1338-4333 | Journal ISSN: 0042-790X
Language: English
Page range: 121 - 131
Submitted on: Apr 2, 2024
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Accepted on: Jan 24, 2025
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Published on: Jun 19, 2025
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year

© 2025 Corrado Fidelibus, Chaoshui Xu, Zhihe Wang, Peter Dowd, published by Slovak Academy of Sciences, Institute of Hydrology
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.