Abstract

We present a new conceptual approach for modeling of fluid flows in random porous media based on explicit exploration of the treelike geometry of complex capillary networks. Such patterns can be represented mathematically as ultrametric spaces and the dynamics of fluids by ultrametric diffusion. The images of p-adic fields, extracted from the real multiscale rock samples and from some reference images, are depicted. In this model the porous background is treated as the environment contributing to the coefficients of evolutionary equations. For the simplest trees, these equations are essentially less complicated than those with fractional differential operators which are commonly applied in geological studies looking for some fractional analogs to conventional Euclidean space but with anomalous scaling and diffusion properties. It is possible to solve the former equation analytically and, in particular, to find stationary solutions. The main aim of this paper is to attract the attention of researchers working on modeling of geological processes to the novel utrametric approach and to show some examples from the petroleum reservoir static and dynamic characterization, able to integrate the p-adic approach with multifractals, thermodynamics and scaling. We also present a non-mathematician friendly review of trees and ultrametric spaces and pseudo-differential operators on such spaces.

Highlights

  • Random porous media are characterized by a complex network of capillaries [1,2]

  • Since we hope that our ultrametric approach will attract the attention of researchers working on mathematical modeling of geophysical processes, we briefly review the theory of ultrametric wavelets and spectral properties of pseudo-differential operators based on these wavelets

  • Five years of research experience in the field of static characterization of a naturally fractured petroleum reservoir (Mexico), have shown that the tree-like structural patterns naturally arise in a variety of physical, chemical and biological (PCHEB) complex systems with the hierarchical organization

Read more

Summary

Introduction

Random porous media are characterized by a complex network of capillaries [1,2]. To model the flow of fluid (e.g., oil, water, or emulsion) through such a net, the spatial and temporal patterns of the porous structure must be taken into account. Depicting Ultrametric Spaces and p-Adic Numbers Networks from the Images of Real Oil Field. In the of Lichtenberg space, we have thespace, p-adicwe map working In this case, applied the same procedure for the tomographic reconstructed images of porous rocks. In the case of Lichtenberg space, we have extracted the p-adic map from the 2D projection of 3D original image (Web example, 21). We generalize to the case of an arbitrary tree our previous model of provides the possibility to introduce so to say “ultrametric wavelets friendly” pseudo-differential operators and corresponding diffusion equations, Section 4.

Ultrametric Spaces
From Trees to Ultrametric Spaces
Wavelet-Friendly Pseudo-Differential Operators and Ultrametric Diffusion
Pseudo-Differential Operators with Kernels Having Balls as Variables
Solving Master Equation with the Aid of Wavelet Expansion
Diffusion with Drift
Reaction-Diffusion Equations for Free and Surface Bounded Oil
From p-Adics to Fractals and Backward
Monna Maps
Multi-Fractal Representation of p-Adic Numbers
Wavelet Expansions on Fractals
Wavelet Expansions on Multifractals
Conclusions
Full Text
Paper version not known

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call