Particle Scale Reservoir Mechanics

Li, Liming

doi:10.2516/ogst:2002035

Cited by 51 publications

(30 citation statements)

References 26 publications

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“…The basic version of PFC has been refined [13] in order to simulate various aspects of tests performed in the rock mechanics laboratory. For example, wave velocity measurements are normally done to probe the elastic behaviour of rocks.…”

Section: Refinements and Examples Of Applicationsmentioning

confidence: 99%

Comparison between controlled laboratory experiments and discrete particle simulations of the mechanical behaviour of rock

Holt

Kjølaas

Larsen

et al. 2005

International Journal of Rock Mechanics and Mining Sciences

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120

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Section: Refinements and Examples Of Applicationsmentioning

confidence: 99%

Comparison between controlled laboratory experiments and discrete particle simulations of the mechanical behaviour of rock

Holt

Kjølaas

Larsen

et al. 2005

International Journal of Rock Mechanics and Mining Sciences

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120

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“…A relation was observed between the changes in shear stress and the received signal. Sub-systems of particles formed within the sample that interacted to generate vortex-like particle velocity patterns as has been observed in [12]. The particle velocities and representative particle mean stresses were linked; in general when the particle velocities were directed towards the centre of the sample the stress increased, and vice-versa.…”

Section: Discussionmentioning

confidence: 68%

“…The particles close to the right boundary of the sample have a horizontal velocity component directed away from the sample centre and a vertical component that is directed upwards. In the prior DEM simulations described by [12] a planar S-wave was input using a large body of particles as a transmitter. Particle velocity measurements also clearly showed a vortex-like pattern in the motion of the particles which were positioned further along the sample.…”

Section: Overview Of System Responsementioning

confidence: 99%

“…Thornton [9] and Cui et al [10] amongst many others have illustrated the use of DEM simulations to explore how the particle-scale interactions in a granular material directly affect the macromechanical response. To date, most DEM analyses in geomechanics and granular materials in general have considered quasi-static material response, however dynamic analyses are possible and a small number of researchers including Hazzard et al [11], Li and Holt [12], Mouraille et al [13] and Marketos [14] have used DEM to simulate wave propagation in both bonded (cemented) and unbonded (cementfree) granular materials. These prior research studies did not focus in detail however on the relationship between the wave propagation properties, such as wave speed, and the micromechanical properties, such as inter-particle contact stiffness and none of these studies focussed specifically on bender element testing.…”

Section: Introductionmentioning

confidence: 99%

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Two-dimensional discrete element modelling of bender element tests on an idealised granular material

2012

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The small-strain (elastic) shear stiffness of soil is an important parameter in geotechnics. It is required as an input parameter to predict deformations and to carry out site response analysis to predict levels of shaking during earthquakes. Bender element testing is often used in experimental soil mechanics to determine the shear (S-) wave velocity in a given soil and hence the shear stiffness. In a bender element test a small perturbation is input at a point source and the propagation of the perturbation through the system is measured at a single measurement point. The mechanics and dynamics of the system response are non-trivial, complicating interpretation of the measured signal. This paper presents the results of a series of discrete element method (DEM) simulations of bender element tests on a simple, idealised granular material. DEM simulations provide the opportunity to study the mechanics of this testing approach in detail. The DEM model is shown to be capable of capturing features of the system response that had previously been identified in continuum-type analyses of the system. The propagation of the wave through the sample can be monitored at the particlescale in the DEM simulation. In particular, the particle velocity data indicated the migration of a central S-wave accompanied by P-waves moving along the sides of the sample. The elastic stiffness of the system was compared with the stiffness calculated using different approaches to interpreting bender element test data. An approach based upon direct decomposition of the signal using a fast-Fourier transform yielded the most accurate results.

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“…Such a hydro-mechanical coupling in particle models has already been successfully performed on a small, core-size scale, in order to study stress-dependent permeabilities of reservoir rocks (Li and Holt 2002). Combining basin-scale fluid flow with the DE modelling techniques described above would bring a new dimension to basin modelling, as it would allow one to quantitatively consider, for example, undercompaction and overpressuring during basin evolution.…”

Section: Discussionmentioning

confidence: 98%

A numerical sandbox: high-resolution distinct element models of halfgraben formation

Seyferth

Henk

2005

Int J Earth Sci (Geol Rundsch)

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Basin-scale tectonics and sedimentation are studied using particle flow code (PFC), a special implementation of the distinct-element method (DEM) using circular elements. Special focus is on the development and application of new techniques, which allow for strain weakening and localisation effects and, thus, the formation of discrete fault patterns in high-resolution DE models.Fundamental modelling assumptions and the procedures necessary to define the microproperties of a DE material from given rock mechanical data are first explained. Recent methodical enhancements, consisting of automatic fault detection (AFD) and intelligent crack management (ICM) algorithms are also discussed. Refined DE modelling techniques are then applied to three scenarios of extensional basin formation, i.e. the evolution of halfgrabens above detachments with simple listric and ramp-flat-ramp geometries, respectively. Numerical modelling results compare favourably with the analogue ('sandbox') models widely used in this kind of basin studies. Not only do they reproduce the general basin architecture (e.g. roll-over anticlines and crestal collapse grabens), but also detailed fault structure and the sequence of faulting. In addition, numerical models can describe temporal changes in mechanical material properties to model compaction and diagenesis of syntectonic sediments.

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Particle Scale Reservoir Mechanics

Cited by 51 publications

References 26 publications

Comparison between controlled laboratory experiments and discrete particle simulations of the mechanical behaviour of rock

Comparison between controlled laboratory experiments and discrete particle simulations of the mechanical behaviour of rock

Two-dimensional discrete element modelling of bender element tests on an idealised granular material

A numerical sandbox: high-resolution distinct element models of halfgraben formation

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