Predicting the Permeability of Fractured Porous Rock
- 1 Middle School Attached to University of Beijing Jiaotong, Beijing, China
- 2 University of Chinese Academy of Sciences, Beijing, China
- 3 Institute of Mechanics, Chinese Academy of Sciences, Beijing, China
Abstract
Fractures are widely distributed in tight reservoirs. Fractures and pore-throats form the flow path of oil/gas/water in reservoirs. How to determine the permeability of fractured porous reservoirs is still difficult. A group of tight sandstone samples are first used to measure the fractures and analyze the distribution rules between numbers and length, angles. The permeability changing with the fracture’s length and density for different matrix es is then computed by using pore-fracture network model. At last an empirical formula for predicting the permeability related with the fracture’s length and density is fitted based on the computed data.
- Lorente, S. and Bejan, A. (2006) Heterogeneous Porous Media as Multi-Scale Structures form Maximum Flow Access. Journal of Applied Physics, 100, 1149091-1149098. https://doi.org/10.1063/1.2396842
- Warren, J.R. and Root, P.J. (1963) The Behaviour of Naturally Fractured Reservoirs. Society of Petroleum Engineers, 228, 245-255. https://doi.org/10.2118/426-PA
- Koudina, N., Gonzalez, G.R. and Thovert, J.F. (1998) Permeability of Three-Dimensional Fracture Networks. Physical Review E, 57, 4466-4479. https://doi.org/10.1103/PhysRevE.57.4466
- Liu, H.P. (2017) Fractal Seepage Characteristics of Triple-Medium Shale Gas Reservoirs. Sino-Global Energy, 22, 26-31. (In Chinese)
- Liu, Q.Q. and Fan, H.G. (2012) An Approximate Method for Calculating the Equivalent Permeability Tensor of Seepage in Complex Fractures. Mechanics in Engineering, 34, 16-20. (In Chinese)
- Fatt, I. (1956) The Network Model of Porous Media, I. Capillary Pressure Characteristics. Transaction of American Institute of Mining, Metallurgical, and Petroleum Engineers (AIME), 207, 144-159.
- Deng, S.G., Lu, L., Liu, H.J., et al. (2015) Pore Fractural Network Model for Compacted Geomaterials and Simulation of Shale Gas Seepage. Chinese Journal of Underground Space and Engineering, 11, 76-79. (In Chinese)
- Cowie, P.A., Knipe, R.J. and Main, I.G. (1996) Scaling Laws for Fault and Fracture Populations—Analyses and Applications. Journal of Structural Geology, 18, 135-383.
- Marrett, R. (1996) Aggregate Properties of Fracture Populations. Journal of Structural Geologym, 18, 169-178. https://doi.org/10.1016/S0191-8141(96)80042-3
- Marrett, R., Ortega, O.J. and Kelsey, C.M. (1999) Extent of Power-Law Scaling for Natural Fractures in Rock. Geology, 27, 799-802. https://doi.org/10.1130/0091-7613(1999)027 2.3.CO;2
- Zhang, X.H., Zheng, W., Liu, Q.J., et al. (2014) Algorithm Implementation of Dual-Percolation Model for Fractured Pore Media. Chinese Journal of Computational Physics, 31, 118-126. (In Chinese)
- Bogdanov, I.I., Mourzenko, V.V. and Thovert, J.F. (2003) Effective Permeability of Fractured Porous Media in Steady State Flow. Water Resources Research, 39, 1023. https://doi.org/10.1029/2001WR000756
- Liu, H., Zhang, X., Lu, X., et al. (2017) Study on Flow in Fractured Porous Media Using Pore-Fracture Network Modeling. Energies, 10, 1984. https://doi.org/10.3390/en10121984