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Bunde A, Havlin S, Roman HE. Multifractal features of random walks on random fractals. PHYSICAL REVIEW. A, ATOMIC, MOLECULAR, AND OPTICAL PHYSICS 1990; 42:6274-6277. [PMID: 9903921 DOI: 10.1103/physreva.42.6274] [Citation(s) in RCA: 14] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/22/2023]
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Abstract
Summary
We present a formulation for a fractal fracture network embedded into a Euclidean matrix. Single-phase flow in the fractal object is described by an appropriate modification of the diffusivity equation. The system's pressure-transient response is then analyzed in the absence of matrix participation and when both the fracture network and the matrix participate. participate. The results obtained extend previous pressure-transient and well-testing methods to reservoirs of arbitrary (fractal) dimensions and provide a unified description for both single- and dual-porosity systems. provide a unified description for both single- and dual-porosity systems. Results may be used to identify and model naturally fractured reservoirs with multiple scales and fractal properties.
Introduction
Fractured reservoirs have received considerable attention over the past few decades. Naturally fractured reservoirs typically are represented by the two-scale (fracture/matrix) model of Warren and Root. The fracture network is assumed to be connected and equivalent to a homogeneous medium of Euclidean geometry. Alternatives must be sought, however, for reservoirs with multiple property scales and a non-Euclidean fracture network. Fractal geometry is a natural candidate for the representation of such systems.
Naturally and artificially fractured systems (e.g., carbonate reservoirs and stimulated wells) have been actively investigated. The following key concepts are typically applied in conventional models.
Premise 1.
There are two media (matrix/fracture network) with two distinctly different flow-conductivity (permeability) and storage (porosity) scales.
Premise 2.
The matrix is a Euclidean object (i.e., of dimension D = 2 for cylindrical-symmetry reservoirs) within which the fracture network is embedded. The fracture network is also Euclidean with dimension D = 2 in the dual-porosity case, or D = 1 in the single-fracture case.
Premise 3.
The matrix is not interconnected; thus fluid flow to and from wells occurs only through the perfectly connected fracture network.
These premises are reflected in the pressure-transient response models. Thus, the dual-porosity system exhibits the asymptotic behavior, pertinent to flow in a system with D = 2 and cylindrical symmetry, while the single-fracture system response is at early times and at later times, suggesting linear (D = 1) and bilinear (D = 3/2) flow geometry, respectively. Note with the singular exception of 2D cylindrical geometry, the asymptotic pressure response generally is the power-law type .
Although various improvements and modifications of the original model have been proposed (see Ref. 4 for a rigorous analysis), they all pertain to the well-ordered but rather restricted structure described above. Recognizing the need for further extension, Abdassah and Ershaghi recently proposed a triple-porosity model that relaxes Premise 1 by considering an proposed a triple-porosity model that relaxes Premise 1 by considering an additional scale. While this incremental approach may be adequate in several cases, it is less applicable to systems exhibiting a large number of different scales, poor fracture connectivity, and disordered spatial distribution. An alternative formulation for these systems is desirable.
Several naturally fractured reservoirs share many such features, notably a large variability in scales and fracture density and extent. These features are induced by the fracturing process in conjunction with the initial brittleness of the material. While such relations are actively researched, evidence increasingly points out that fracturing processes may lead to the creation of fractal objects. Examples range from Monte Carlo simulations to field observations and modeling. Fractal properties have been variously assigned to fracture perimeter, fracture-system mass, or the fracture-size density function.
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Kimmich R, Nusser W, Gneiting T. Molecular theory for nuclear magnetic relaxation in protein solutions and tissue: Surface diffusion and free-volume analogy. ACTA ACUST UNITED AC 1990. [DOI: 10.1016/0166-6622(90)80031-x] [Citation(s) in RCA: 27] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
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Van den Broeck C. Renormalization of first-passage times for random walks on deterministic fractals. PHYSICAL REVIEW. A, GENERAL PHYSICS 1989; 40:7334-7345. [PMID: 9902150 DOI: 10.1103/physreva.40.7334] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/22/2023]
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Lakhtakia A, Messier R, Varadan VK, Varadan VV. Use of combinatorial algebra for diffusion on fractals. PHYSICAL REVIEW. A, GENERAL PHYSICS 1986; 34:2501-2504. [PMID: 9897547 DOI: 10.1103/physreva.34.2501] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/22/2023]
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Banavar JR, Lipsicas M, Willemsen JF. Determination of the random-walk dimension of fractals by means of NMR. PHYSICAL REVIEW. B, CONDENSED MATTER 1985; 32:6066. [PMID: 9937859 DOI: 10.1103/physrevb.32.6066] [Citation(s) in RCA: 14] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/11/2023]
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O'Shaughnessy B, Procaccia I. Diffusion on fractals. PHYSICAL REVIEW. A, GENERAL PHYSICS 1985; 32:3073-3083. [PMID: 9896451 DOI: 10.1103/physreva.32.3073] [Citation(s) in RCA: 83] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
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