Finite-Difference Approximation for Fluid-Flow Simulation and Calculation of Permeability in Porous Media

被引:74
作者
Shabro, Vahid [1 ]
Torres-Verdin, Carlos [1 ]
Javadpour, Farzam [2 ]
Sepehrnoori, Kamy [1 ]
机构
[1] Univ Texas Austin, Dept Petr & Geosyst Engn, Austin, TX 78712 USA
[2] Univ Texas Austin, Bur Econ Geol, Jackson Sch Geosci, Austin, TX 78713 USA
关键词
Pore scale; Permeability; Finite differences; Geometrical pore approximation; Generalized Laplace equation; GAS-FLOW; NETWORK MODEL;
D O I
10.1007/s11242-012-0024-y
中图分类号
TQ [化学工业];
学科分类号
0817 ;
摘要
We introduce a finite-difference method to simulate pore scale steady-state creeping fluid flow in porous media. First, a geometrical approximation is invoked to describe the interstitial space of grid-based images of porous media. Subsequently, a generalized Laplace equation is derived and solved to calculate fluid pressure and velocity distributions in the interstitial space domain. We use a previously validated lattice-Boltzmann method (LBM) as ground truth for modeling comparison purposes. Our method requires on average 17 % of the CPU time used by LBM to calculate permeability in the same pore-scale distributions. After grid refinement, calculations of permeability performed from velocity distributions converge with both methods, and our modeling results differ within 6 % from those yielded by LBM. However, without grid refinement, permeability calculations differ within 20 % from those yielded by LBM for the case of high-porosity rocks and by as much as 100 % in low-porosity and highly tortuous porous media. We confirm that grid refinement is essential to secure reliable results when modeling fluid flow in porous media. Without grid refinement, permeability results obtained with our modeling method are closer to converged results than those yielded by LBM in low-porosity and highly tortuous media. However, the accuracy of the presented model decreases in pores with elongated cross sections.
引用
收藏
页码:775 / 793
页数:19
相关论文
共 35 条
[1]  
[Anonymous], 1994, An Introduction to the Conjugate Gradient Method Without the Agonizing Pain
[2]   Virtual permeametry on microtomographic images [J].
Arns, CH ;
Knackstedt, MA ;
Pinczewski, WV ;
Martys, NS .
JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING, 2004, 45 (1-2) :41-46
[3]   CHARACTERISTIC PORE SIZES AND TRANSPORT IN POROUS-MEDIA [J].
BANAVAR, JR ;
JOHNSON, DL .
PHYSICAL REVIEW B, 1987, 35 (13) :7283-7286
[4]  
Bear J., 1998, Dynamics of Fluids in Porous Media. Civil and Mechanical Engineering
[5]  
Bird R B., 2002, Transportphenomena
[6]   NETWORK MODEL EVALUATION OF PERMEABILITY AND SPATIAL CORRELATION IN A REAL RANDOM SPHERE PACKING [J].
BRYANT, SL ;
KING, PR ;
MELLOR, DW .
TRANSPORT IN POROUS MEDIA, 1993, 11 (01) :53-70
[7]   A 3 DIMENSIONAL NETWORK MODEL FOR CONSOLIDATED POROUS-MEDIA - BASIC STUDIES [J].
CONSTANTINIDES, GN ;
PAYATAKES, AC .
CHEMICAL ENGINEERING COMMUNICATIONS, 1989, 81 :55-81
[8]  
Datta-Gupta A., 2007, Streamline Simulation: Theory and Practice, V11
[9]   3-DIMENSIONAL X-RAY MICROTOMOGRAPHY [J].
FLANNERY, BP ;
DECKMAN, HW ;
ROBERGE, WG ;
DAMICO, KL .
SCIENCE, 1987, 237 (4821) :1439-1444
[10]   Lattice Boltzmann model for incompressible flows through porous media [J].
Guo, ZL ;
Zhao, TS .
PHYSICAL REVIEW E, 2002, 66 (03) :1-036304