Explicit Fracture Network Modelling: From Multiple Point Statistics to Dynamic Simulation

Chugunova, T.; Corpel, Vincent; Gómez, Juan Pablo

doi:10.1007/s11004-017-9687-9

Cited by 12 publications

(3 citation statements)

References 11 publications

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“…The generation of stochastic fracture networks is challenging by itself [25]. Possible approaches range from the drawing of sets of fractures from statistical distributions, with no conditioning from the already generated fractures, to more advanced ones that attempt to honor relation between different geological objects [21,58,43,52]. As stochastic generation does not necessarily aim to mimic the actual fracturing process, the generated networks may not be realistic in a geological sense, as measured by geometric configurations, such as intersection types, and angles and distances between intersection lines.…”

Section: Introductionmentioning

confidence: 99%

Conforming, non-conforming and non-matching discretization couplings in discrete fracture network simulations

Fumagalli

Keilegavlen

Scialò

2019

Journal of Computational Physics

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Simulations of fluid flow in naturally fractured rocks have implications for several subsurface applications, including energy storage and extraction, and waste storage. We are interested in flow in discrete fracture networks, which explicitly represent flow in fracture surfaces, but ignore the impact of the surrounding host rock. Fracture networks, generated from observations or stochastic simulations, will contain intersections of arbitrary length, and intersection lines can further cross, forming a highly complex geometry. As the flow exchange between fractures, thus in the network, takes place in these intersections, an adequate representation of the geometry is critical for simulation accuracy. In practice, the intersection dynamics must be handled by a combination of the simulation grid, which may or may not resolve the intersection lines, and the numerical methods applied on the grid. In this work, we review different classes of numerical approaches proposed in recent years, covering both methods that conform to the grid, and non-matching cases. Specific methods considered herein include finite element, mixed and virtual finite elements and control volume methods. We expose our methods to an extensive set of test cases, ranging from artificial geometries designed to test difficult configurations, to a network extruded from a real fracture outcrop. The main outcome is guidances for choice of simulation models and numerical discretization with a trade off on the computational cost and solution accuracy.

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Section: Introductionmentioning

confidence: 99%

Conforming, non-conforming and non-matching discretization couplings in discrete fracture network simulations

Fumagalli

Keilegavlen

Scialò

2019

Journal of Computational Physics

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“…A common concern with MPS approaches is the stationarity issue. To overcome this problem, Chugunova et al [66] proposed a non-stationary MPS simulation method using remotely sensed data and the resulting model is shown in Figure 1u. In addition to the stationarity problem, MPS commonly suffers from the lack of sufficient training data to model the fracture system.…”

Section: Modelling Of Fracture Network In Rock Massesmentioning

confidence: 99%

Modelling of Coupled Hydro-Thermo-Chemical Fluid Flow through Rock Fracture Networks and Its Applications

Dong

Wang

et al. 2021

Geosciences

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Most rock masses contain natural fractures. In many engineering applications, a detailed understanding of the characteristics of fluid flow through a fractured rock mass is critically important for design, performance analysis, and uncertainty/risk assessment. In this context, rock fractures and fracture networks play a decisive role in conducting fluid through the rock mass as the permeability of fractures is in general orders of magnitudes greater than that of intact rock matrices, particularly in hard rock settings. This paper reviews the modelling methods developed over the past four decades for the generation of representative fracture networks in rock masses. It then reviews some of the authors’ recent developments in numerical modelling and experimental studies of linear and non-linear fluid flow through fractures and fracture networks, including challenging issues such as fracture wall roughness, aperture variations, flow tortuosity, fracture intersection geometry, fracture connectivity, and inertia effects at high Reynolds numbers. Finally, it provides a brief review of two applications of methods developed by the authors: the Habanero coupled hydro-thermal heat extraction model for fractured reservoirs and the Kapunda in-situ recovery of copper minerals from fractures, which is based on a coupled hydro-chemical model.

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“…Field data are usually collected from lower dimensionally-limited exposures, e.g., one-dimensional (1D) borehole logging and two-dimensional (2D) outcrop mapping (Pan et al, 2019;Kolyukhin, 2022;Zhang et al, 2022). The description of natural fracture geometries has to largely rely on extrapolations, from 1D/2D to 3D and from small samples to the whole study domain (Xu and Robert, 2003;Chugunov et al, 2017;Giuffrida et al, 2019). Meanwhile, the selection of fracture modeling methods is the key to ensure that fracture data can be fully expressed.…”

Section: Introductionmentioning

confidence: 99%

Numerical Modeling of Natural Fracture Distributions in Shale

CHEN

Shao

2023

Acta Geologica Sinica (Eng)

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The production efficiency of shale gas is affected by the interaction between hydraulic and natural fractures. This study presents a simulation of natural fractures in shale reservoirs, based on a discrete fracture network (DFN) method for hydraulic fracturing engineering. Fracture properties of the model are calculated from core fracture data, according to statistical mathematical analysis. The calculation results make full use of the quantitative information of core fracture orientation, density, opening and length, which constitute the direct and extensive data of mining engineering. The reliability and applicability of the model are analyzed with regard to model size and density, a calculation method for dominant size and density being proposed. Then, finite element analysis is applied to a hydraulic fracturing numerical simulation of a shale fractured reservoir in southeastern Chongqing. The hydraulic pressure distribution, fracture propagation, acoustic emission information and in situ stress changes during fracturing are analyzed. The results show the application of fracture statistics in fracture modeling and the influence of fracture distribution on hydraulic fracturing engineering. The present analysis may provide a reference for shale gas exploitation.

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Explicit Fracture Network Modelling: From Multiple Point Statistics to Dynamic Simulation

Cited by 12 publications

References 11 publications

Conforming, non-conforming and non-matching discretization couplings in discrete fracture network simulations

Conforming, non-conforming and non-matching discretization couplings in discrete fracture network simulations

Modelling of Coupled Hydro-Thermo-Chemical Fluid Flow through Rock Fracture Networks and Its Applications

Numerical Modeling of Natural Fracture Distributions in Shale

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