Fracture mode analysis and related surface deformation during dyke intrusion: Results from 2D experimental modelling

Abdelmalak, Mohamed Mansour; Mourgues, R.; Galland, Olivier; Bureau, D.

doi:10.1016/j.epsl.2012.10.008

Cited by 88 publications

(110 citation statements)

References 75 publications

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“…The peak pressures at large rates, when fluid leakoff is limited, compare well with the injection experiments in triaxial cells [Bohloli and de Pater, 2006;Zhou et al, 2010;Hurt and Germanovich, 2012]. The numerical analysis also reveals intriguing tip kinematics field for the growth of a fluid channel, which may shed light on the occurrence of the apical inverted-cone features in sandstone and magma intrusion [Cartwright et al, 2008;Mathieu et al, 2008;Abdelmalak et al, 2012;Gay et al, 2012]. The problem analyzed in this work is most relevant to geological storage in a depleted reservoir due to the assumption of an initially dry medium.…”

Section: Discussionsupporting

confidence: 60%

“…However, in the case when the fluid channel develops a small kink, the velocity field, see Figure 21b at the tip of the fluid channel at the top of the wellbore, actually possesses the characteristics of an active failure mode, where the particles are now moving in the direction against fluid flow. Such granular kinematics shares similarities with the tip splitting instability in viscous fingering between two immiscible fluids [Saffman and Taylor, 1958] and also with normal fault and reverse fault scenarios to describe the formation of an apical inverted-cone structure [Mathieu et al, 2008;Abdelmalak et al, 2012;Gay et al, 2012]. Further analysis is however needed to confirm the link between the tip kinematics and the tortuousness of a fluid channel for general conditions.…”

Section: Growth Mechanismsmentioning

confidence: 99%

“…[11] Injection experiments are also common analogue models to study magma and sand intrusions [Galland et al, 2007;Mathieu et al, 2008;Rodrigues et al, 2009;Galland et al, 2009;Ross et al, 2011;Mourgues et al, 2012;Abdelmalak et al, 2012] and to investigate buoyant rise of gas bubbles in sediments [Barry et al, 2010;Fauria and Rempel, 2011]. Similar experiments are also performed to model venting dynamics [Mörz et al, 2007;Nermoen et al, 2010;Gay et al, 2012].…”

Section: Background and Experimental Motivationmentioning

confidence: 99%

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Coupled discrete element modeling of fluid injection into dense granular media

2013

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[1] The coupled displacement process of fluid injection into a dense granular medium is investigated numerically using a discrete element method (DEM) code PFC2D r coupled with a pore network fluid flow scheme. How a dense granular medium behaves in response to fluid injection is a subject of fundamental and applied research interests to better understand subsurface processes such as fluid or gas migration and formation of intrusive features as well as engineering applications such as hydraulic fracturing and geological storage in unconsolidated formations. The numerical analysis is performed with DEM executing the mechanical calculation and the network model solving the Hagen-Poiseuille equation between the pore spaces enclosed by chains of particles and contacts. Hydromechanical coupling is realized by data exchanging at predetermined time steps. The numerical results show that increase in the injection rate and the invading fluid viscosity and decrease in the modulus and permeability of the medium result in fluid flow behaviors displaying a transition from infiltration-governed to infiltration-limited and the granular medium responses evolving from that of a rigid porous medium to localized failure leading to the development of preferential paths. The transition in the fluid flow and granular medium behaviors is governed by the ratio between the characteristic times associated with fluid injection and hydromechanical coupling. The peak pressures at large injection rates when fluid leakoff is limited compare well with those from the injection experiments in triaxial cells in the literature. The numerical analysis also reveals intriguing tip kinematics field for the growth of a fluid channel, which may shed light on the occurrence of the apical inverted-conical features in sandstone and magma intrusion in unconsolidated formations.Citation: Zhang, F., B. Damjanac, and H. Huang (2013), Coupled discrete element modeling of fluid injection into dense granular media,

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Section: Discussionsupporting

confidence: 60%

Section: Growth Mechanismsmentioning

confidence: 99%

Section: Background and Experimental Motivationmentioning

confidence: 99%

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Coupled discrete element modeling of fluid injection into dense granular media

2013

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“…They form major pathways for fluid flow, such as water, hydrocarbons or magma, and consequently are of great interest for water and energy supply, geohazard assessment and geodynamics (e.g., Belayneh et al, 2006;Caine et al, 1996;Crone and Haller, 1991;Ehrenberg and Nadeau, 2005;Gudmundsson et al, 2001;Lonergan et al, 2007). Several first-order models for the formation of dilatant fault networks exist (e.g., Abdelmalak et al, 2012;Abe et al, 2011;Acocella et al, 2003;Grant and Kattenhorn, 2004;Hardy, 2013;Holland et al, 2006Holland et al, , 2011van Gent et al, 2010;Vitale and Isaia, 2014;Walter and Troll, 2001). However, the influence of pre-existing cohesionless joints on the formation of faults and fractures is largely untested, although this may have great influence on the fault's geometry and evolution (e.g., Butler, 1989;Giambiagi et al, 2003;McGill and Stromquist, 1979;Schultz-Ela and Walsh, 2002;Virgo et al, 2014).…”

Section: Introductionmentioning

confidence: 99%

Dilatant normal faulting in jointed cohesive rocks: a physical model study

et al. 2016

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Abstract. Dilatant faults often form in rocks containing preexisting joints, but the effects of joints on fault segment linkage and fracture connectivity are not well understood. We present an analogue modeling study using cohesive powder with pre-formed joint sets in the upper layer, varying the angle between joints and a rigid basement fault. We analyze interpreted map-view photographs at maximum displacement for damage zone width, number of connected joints, number of secondary fractures, degree of segmentation and area fraction of massively dilatant fractures. Particle imaging velocimetry provides insight into the deformation history of the experiments and illustrates the localization pattern of fault segments. Results show that with increasing angle between joint-set and basement-fault strike the number of secondary fractures and the number of connected joints increase, while the area fraction of massively dilatant fractures shows only a minor increase. Models without pre-existing joints show far lower area fractions of massively dilatant fractures while forming distinctly more secondary fractures.

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“…Abdelmalak et al, 2012;Mathieu et al, 2008;Guldstrand et al, 2017;Schmiedel et al, 2017). This material can fail both in tension and in shear due to its non-negligible cohesion (Abdelmalak et al, 2016).…”

Section: Compacted Granular Materialsmentioning

confidence: 99%

A review of laboratory and numerical modelling in volcanology

Kavanagh¹,

Engwell²,

Martin³

2018

Solid Earth

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Abstract. Modelling has been used in the study of volcanic systems for more than 100 years, building upon the approach first applied by Sir James Hall in 1815. Informed by observations of volcanological phenomena in nature, including eyewitness accounts of eruptions, geophysical or geodetic monitoring of active volcanoes, and geological analysis of ancient deposits, laboratory and numerical models have been used to describe and quantify volcanic and magmatic processes that span orders of magnitudes of time and space. We review the use of laboratory and numerical modelling in volcanological research, focussing on sub-surface and eruptive processes including the accretion and evolution of magma chambers, the propagation of sheet intrusions, the development of volcanic flows (lava flows, pyroclastic density currents, and lahars), volcanic plume formation, and ash dispersal.When first introduced into volcanology, laboratory experiments and numerical simulations marked a transition in approach from broadly qualitative to increasingly quantitative research. These methods are now widely used in volcanology to describe the physical and chemical behaviours that govern volcanic and magmatic systems. Creating simplified models of highly dynamical systems enables volcanologists to simulate and potentially predict the nature and impact of future eruptions. These tools have provided significant insights into many aspects of the volcanic plumbing system and eruptive processes. The largest scientific advances in volcanology have come from a multidisciplinary approach, applying developments in diverse fields such as engineering and computer science to study magmatic and volcanic phenomena. A global effort in the integration of laboratory and numerical volcano modelling is now required to tackle key problems in volcanology and points towards the importance of benchmarking exercises and the need for protocols to be developed so that models are routinely tested against "real world" data.

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Fracture mode analysis and related surface deformation during dyke intrusion: Results from 2D experimental modelling

Cited by 88 publications

References 75 publications

Coupled discrete element modeling of fluid injection into dense granular media

Coupled discrete element modeling of fluid injection into dense granular media

Dilatant normal faulting in jointed cohesive rocks: a physical model study

A review of laboratory and numerical modelling in volcanology

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