Comparison of fast algorithms for estimating large-scale permeabilities of heterogeneous media

1995 ◽  
Vol 19 (2) ◽  
pp. 123-137 ◽  
Author(s):  
J. F. McCarthy
2010 ◽  
Author(s):  
Junko Uebayashi ◽  
Yoshiaki Tamura ◽  
Yoichiro Matsumoto ◽  
Kullervo Hynynen ◽  
Jacques Souquet

2005 ◽  
Vol 73 (1) ◽  
pp. 41-46 ◽  
Author(s):  
Moussa Kfoury ◽  
Rachid Ababou ◽  
Benoît Noetinger ◽  
Michel Quintard

In order to optimize oil recuperation, to secure waste storage, CO2 sequestration and describe more precisely many environmental problems in the underground, we need to improve some homogenization methods that calculate petrophysical parameters. In this paper, we discuss the upscaling of fluid transport equations in fractured heterogeneous media consisting of the fractures themselves and a heterogeneous porous matrix. Our goal is to estimate precisely the fluid flow parameters like permeability and fracture/matrix exchange coefficient at large scale. Two approaches are possible. The first approach consists in calculating the large-scale equivalent properties in one upscaling step, starting with a single continuum flow model at the local scale. The second approach is to perform upscaling in two sequential steps: first, calculate the equivalent properties at an intermediate scale called the ”unit scale,” and, second, average the flow equations up to the large scale. We have implemented the two approaches and applied them to randomly distributed fractured systems. The results allowed us to obtain valuable information in terms of sizes of representative elementary volume associated to a given fracture distribution.


Author(s):  
Wei-Bing Lu ◽  
Tie Jun Cui ◽  
Zhi-Guo Qian ◽  
Xiao Xing Yin ◽  
Wei Hong

Author(s):  
Liefeng Bo ◽  
Cristian Sminchisescu ◽  
Atul Kanaujia ◽  
Dimitris Metaxas
Keyword(s):  

Geophysics ◽  
2002 ◽  
Vol 67 (1) ◽  
pp. 212-220 ◽  
Author(s):  
Serge A. Shapiro ◽  
Elmar Rothert ◽  
Volker Rath ◽  
Jan Rindschwentner

We systematically describe an approach to estimate the large‐scale permeability of reservoirs using seismic emission (microseismicity) induced by fluid injection. We call this approach seismicity‐based reservoir characterization (SBRC). A simple variant of the approach is based on the hypothesis that the triggering front of hydraulically‐induced microseismicity propagates like a diffusive process (pore pressure relaxation) in an effective homogeneous anisotropic poroelastic fluid‐saturated medium. The permeability tensor of this effective medium is the permeability tensor upscaled to the characteristic size of the seismically active heterogeneous rock volume. We show that in a homogeneous medium the surface of the seismicity triggering front has the same form as the group‐velocity surface of thelow‐frequency anisotropic, second‐type Biots wave describing kinematic aspects of triggering‐front propagation in a way similar to the eikonal equation for seismic wavefronts. In the case of isotropic heterogeneous media, the inversion for the hydraulic properties of rocks follows from a direct application of this equation. In the case of an anisotropic heterogeneous medium, only the magnitude of a global effective permeability tensor can be mapped in a 3‐D spatial domain. We demonstrate the method on several field examples and also test the eikonal equation‐based inversion.


Author(s):  
Debenest Gérald ◽  
Michel Quintard

Flows in highly heterogeneous porous media are found in many practical fields, such as hydrology, petroleum engineering, and chemical engineering. The case of two-region heterogeneous media (fractured media, catalytic beds, etc.) plays a fundamental role. The different questions associated with this specific case are illustrated in this paper for two different kinds of transport: (i) flow of a slightly compressible fluid, (ii) dispersion of a tracer. Many different theoretical models are implemented using COMSOL Multiphysics™. These models correspond to direct simulation and macro-scale or large-scale models such as fully averaged models or mixed models.


2005 ◽  
Vol 53 (3) ◽  
pp. 1154-1162 ◽  
Author(s):  
Wei Bing Lu ◽  
Tie Jun Cui ◽  
Xiao Xing Yin ◽  
Zhi Guo Qian ◽  
Wei Hong

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