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Multilevel Fracture Network Modeling of Naturally Fractured Reservoirs

Authors: H. Kazemi; S. Atan; M. Al-Matrook; J. Dreier; E. Ozkan;

Multilevel Fracture Network Modeling of Naturally Fractured Reservoirs

Abstract

Abstract This paper provides a review of common approaches for simulation of naturally fractured reservoirs and a new model formulation that is more amenable to the utilization of detailed geologic information from deterministic models, multipoint statistical simulations (MPS), and discrete fracture network (DFN) models. Unlike the common dual-porosity and dual-permeability models, the new model considers flow in several sets of fractures (that is, micro, macro, and mega fracture levels) and the wells can intercept any class of fractures. Matrix flow is also included in the formulation. A dual-mesh-computing algorithm is used to capture the major orientation of fractures in the flow network. The algorithm consists of the conventional five-point discretization for the coarse grid and a special nine-point discretization scheme for the fine grid. The size of the coefficient matrix for the discretization scheme can be reduced because of the dominance of vertical flow drainage in fractured reservoirs.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
13
Average
Top 10%
Top 10%
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