Micromechanical and microstructural DEM modeling of the viscoelastic behavior of oil sands

E. Gbadam, S. Frimpong
{"title":"Micromechanical and microstructural DEM modeling of the viscoelastic behavior of oil sands","authors":"E. Gbadam, S. Frimpong","doi":"10.15761/AMS.1000116","DOIUrl":null,"url":null,"abstract":"Oil sand is a composite material of quartz aggregates, bitumen, water, and air void in which the bitumen exhibits a time and temperature dependent behavior under loading. The soil skeleton (quartz aggregates) comprises dense, highly incompressible, uncemented fine interlocked grains exhibiting low in-situ void ratio, and high shear strengths and dilatancy under low normal stresses. In this work, a two-dimensional discrete element method (DEM) is developed to model the viscoelastic response of an oil sand formation. A digital sample of the oil sand with varying particle shapes and sizes were built using the discrete element software PFC2D. The oil sand microstructure was captured from an electron scanning micrograph image of a 14.5% bitumen content Athabasca oil sand. The micromechanical approach is based on discretizing the oil sands microstructure and modeling particle interactions (contacts) of its constituents at microscale. The quartz aggregates, water, and bitumen included in the digital samples were modeled using different contact models. Rheological data for the bitumen was obtained from a stress/strain controlled rheometer equipped with a parallel plate. This data was used to calibrate the parameters of the viscoelastic contact models among the different material phases. The resulting parameters of Burger’s model were used to simulate the micromechanical behavior of the material. A 2D DEM model with two temperatures and three loading frequencies subjected to a constant amplitude sinusoidal compression tests was simulated. The results of the study show a good agreement between the model prediction and the measured dynamic modulus and phase angle. This indicates that the linear viscoelastic DEM model developed is capable of simulating timedependent behavior of oil sands material. Additionally, the effect of rate of loading and temperature on the deformational mechanics of the material was evident in the dynamic modulus determination. Correspondence to: Samuel Frimpong, Department of Mining and Nuclear Engineering, Missouri University of Science and Technology, Rolla, MO 65401, USA, Tel: (573) 341-7617; Fax: (573) 341–6934; E-mail: frimpong@mst.edu Received: January 18, 2017; Accepted: February 26, 2017; Published: March 02, 2017 Introduction Oil sand is a dense granular material whose two main physical compositions are quartz grains and large quantities of interstitial bitumen, as shown in Figure 1. The pore spaces of oil sands are also filled with dissolved gasses and water [1-3]. The water is a thin film (~10 μm) that surrounds the quartz grains (about 99% water-wet) [4]. The connate water fills 10-15% of the pore spaces and the remaining is occupied by bitumen [1]. Figure 1(b) reveals that the grain-grain contact in oil sand formations exhibit mainly long and concavo-convex contacts. This structure is known as interpenetrative and is responsible for both the low void ratio and high shear strength [5]. Additionally, a large number of contacts per grain are formed because of the dense structure and consequently the formation undergoes high dilation at low normal stresses. The oil sand formations are mined for crude oil production in Northern Alberta, Canada. Surface mining methods, using ultra-class mining equipment such as the P&H 4100 BOSS ERS and the CAT 797 dump trucks are used for bulk excavation of the overburden, providing access to the oil-rich formation. These equipment units impose varying magnitudes of static and dynamic loading in both the horizontal and vertical directions to the ground during excavation. This has led to equipment sinkage/rutting, lower frame fatigue failure [6], and wear, and tear of crawler shoes [7]. Soils in general exhibit both elastic (recoverable) and plastic (permanent deformation) behavior under loading. However, oil sands exhibit viscous flow in addition to elastic and plastic behavior under loading. The internal structure of the oil sands shows a discrete behavior as relative positions of quartz particles are changed under loading. The overall macromechanical behavior of the formation is determined by the interaction between its constituents because of its discrete structure and multiphase composition. Thus, a micromechanical model is required to comprehensively simulate the heterogeneous, nonlinear, and anisotropic behavior of the formation. Over the last three decades, the stress/strain behavior of oil sands has been studied using mainly experimental, analytical, and numerical approaches. Many researchers have used experimental methods to (i) develop a constitutive model to predict the effective stress/strain behavior of drained and recompacted oil sands [8-10], (ii) characterize the shear strength and permanent deformation behavior [3,11-13], and (iii) study the microscopic structure [1,5]. The outcome of these testing procedures predicts the macromechanical stress/strain response of the formation. Additionally, the results of the studies show that quartz grain surface rugosity and grain angularity are functions for the higher residual strength of the oil sand material. Within the last two decades, the use of numerical methods to model and simulate the behavior of particulate media has gained popularity as a tool for fundamental studies [14-16]. Two numerical methods commonly utilized are the finite element method (FEM) and DEM. Numerical approaches using FEM produce some advantages over the analytical and experimental approaches [17-21]. Material models developed from these methods are either micromechanical Gbadam E (2017) Micromechanical and microstructural DEM modeling of the viscoelastic behavior of oil sands Adv Mater Sci, 2017 doi: 10.15761/AMS.1000116 Volume 2(1): 2-11 [25] were employed to express the relationship between the microscale DEM model parameters and the macroscale material properties. A nonlinear optimization technique was applied to fit the Burger’s viscoelastic contact model using the dynamic modulus laboratory test at different loading rate and temperature. Material and methods Discrete element method The DEM technique is a numerical method introduced by [14] for rock mechanics analysis and then extended by [33] for soil as an alternative to continuum modeling of particulate media. In continuum mechanics, the soil is assumed to behave as a continuous material. The study does not consider the relative movement and rotation of soil grains necessary to understand the micro-level soil behavior. Newton’s second law and finite difference scheme are used to study the mechanical interactions between a large collection of independent and varying discrete particles with rigid or deformable bodies. As the particles and bodies (walls) interact with each other, creating contacts, a force-displacement law (usually termed contact model) is used to update the contact forces and moment arising from the relative motion at each contact. The translational and rotational motion of each particle is calculated from the contact forces and moment using Newton’s second law. The overall governing equation of motion for the dynamic analysis of the DEM system is expressed as Equation (1): ( ) M D K F + + =   u u u (1)  u ,  u , u are the linear and rotational acceleration, velocity, and displacement vectors, respectively; M is mass (including rotational inertia); D is damping; K is internal restoring force; and F is the external force (including moments). The dynamics (translational and rotational motion) of the particle i with mass mi and moment of inertia Ii are governed by the Newton and Euler terms in Equation (2) and (3) [34,35]: C nc f g a i i i j ij k ik i i i m = = ∑ +∑ + + + F F F F F  X f (2) . . t i i i i i i j ij ω ω ω + × = = ∑ I I M   (3) i  X and i ω are the translational and angular accelerations of particle i , respectively; i ω is the angular velocity of particle i; fi and ti are the sum of forces and torques acting on particle i respectively i; C ij F and Mij are the contact force and torque acting on particle i by particle j or rigid/flexible boundary; nc ik F is the non-contact force acting on particle i by particle k (example of non-contact force would be capillary force from a wet media); and f i F , g i F , a i F are the fluid, gravitational, and applied force on particle i. The soft contact approach is used where the particles are assumed to be rigid but allows overlap at the contact points. The contact force is related to the magnitude of the overlap or macromechanical in nature. In macromechanical approaches, a constitutive model is used to represent the global material behavior that considers the material as a continuum. On the other hand, the micromechanical approach is based on discretizing the composite microstructure and modeling the material properties of its constituents [22]. Recently, Gbadam and Frimpong [17], and Brown and Frimpong [18] used FEM to simulate the nonlinear mechanical response of geomaterials and oil sands in formation-tool interactions. FEM is based on continuum mechanics, which lacks the ability to handle large strains and discontinuous strain fields. Hence, model slippage between the aggregate particles, which has been cited as one of the most important mechanisms resulting in permanent deformation or rutting [23], cannot be addressed using FEM. Such limitation can be addressed by an alternative DEM approach. Over the past decade, several researchers have used DEM to simulate discontinuous materials with some success. Current research efforts indicate little or no application of DEM for modeling a composite material, such as oil sands. However, DEM has been used to model the heterogeneous multiphase material of asphalt mixtures [15,24], and a number of researchers have developed micromechanical models with the DEM [25]. The mechanical behaviors of asphalt mixtures are simulated with an elastic model [26-28], a viscoelastic model [15,25,29], and a cohesive model [30]. The elastic models are time-ind","PeriodicalId":408511,"journal":{"name":"Advances in Materials Sciences","volume":"11 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Advances in Materials Sciences","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.15761/AMS.1000116","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2

Abstract

Oil sand is a composite material of quartz aggregates, bitumen, water, and air void in which the bitumen exhibits a time and temperature dependent behavior under loading. The soil skeleton (quartz aggregates) comprises dense, highly incompressible, uncemented fine interlocked grains exhibiting low in-situ void ratio, and high shear strengths and dilatancy under low normal stresses. In this work, a two-dimensional discrete element method (DEM) is developed to model the viscoelastic response of an oil sand formation. A digital sample of the oil sand with varying particle shapes and sizes were built using the discrete element software PFC2D. The oil sand microstructure was captured from an electron scanning micrograph image of a 14.5% bitumen content Athabasca oil sand. The micromechanical approach is based on discretizing the oil sands microstructure and modeling particle interactions (contacts) of its constituents at microscale. The quartz aggregates, water, and bitumen included in the digital samples were modeled using different contact models. Rheological data for the bitumen was obtained from a stress/strain controlled rheometer equipped with a parallel plate. This data was used to calibrate the parameters of the viscoelastic contact models among the different material phases. The resulting parameters of Burger’s model were used to simulate the micromechanical behavior of the material. A 2D DEM model with two temperatures and three loading frequencies subjected to a constant amplitude sinusoidal compression tests was simulated. The results of the study show a good agreement between the model prediction and the measured dynamic modulus and phase angle. This indicates that the linear viscoelastic DEM model developed is capable of simulating timedependent behavior of oil sands material. Additionally, the effect of rate of loading and temperature on the deformational mechanics of the material was evident in the dynamic modulus determination. Correspondence to: Samuel Frimpong, Department of Mining and Nuclear Engineering, Missouri University of Science and Technology, Rolla, MO 65401, USA, Tel: (573) 341-7617; Fax: (573) 341–6934; E-mail: frimpong@mst.edu Received: January 18, 2017; Accepted: February 26, 2017; Published: March 02, 2017 Introduction Oil sand is a dense granular material whose two main physical compositions are quartz grains and large quantities of interstitial bitumen, as shown in Figure 1. The pore spaces of oil sands are also filled with dissolved gasses and water [1-3]. The water is a thin film (~10 μm) that surrounds the quartz grains (about 99% water-wet) [4]. The connate water fills 10-15% of the pore spaces and the remaining is occupied by bitumen [1]. Figure 1(b) reveals that the grain-grain contact in oil sand formations exhibit mainly long and concavo-convex contacts. This structure is known as interpenetrative and is responsible for both the low void ratio and high shear strength [5]. Additionally, a large number of contacts per grain are formed because of the dense structure and consequently the formation undergoes high dilation at low normal stresses. The oil sand formations are mined for crude oil production in Northern Alberta, Canada. Surface mining methods, using ultra-class mining equipment such as the P&H 4100 BOSS ERS and the CAT 797 dump trucks are used for bulk excavation of the overburden, providing access to the oil-rich formation. These equipment units impose varying magnitudes of static and dynamic loading in both the horizontal and vertical directions to the ground during excavation. This has led to equipment sinkage/rutting, lower frame fatigue failure [6], and wear, and tear of crawler shoes [7]. Soils in general exhibit both elastic (recoverable) and plastic (permanent deformation) behavior under loading. However, oil sands exhibit viscous flow in addition to elastic and plastic behavior under loading. The internal structure of the oil sands shows a discrete behavior as relative positions of quartz particles are changed under loading. The overall macromechanical behavior of the formation is determined by the interaction between its constituents because of its discrete structure and multiphase composition. Thus, a micromechanical model is required to comprehensively simulate the heterogeneous, nonlinear, and anisotropic behavior of the formation. Over the last three decades, the stress/strain behavior of oil sands has been studied using mainly experimental, analytical, and numerical approaches. Many researchers have used experimental methods to (i) develop a constitutive model to predict the effective stress/strain behavior of drained and recompacted oil sands [8-10], (ii) characterize the shear strength and permanent deformation behavior [3,11-13], and (iii) study the microscopic structure [1,5]. The outcome of these testing procedures predicts the macromechanical stress/strain response of the formation. Additionally, the results of the studies show that quartz grain surface rugosity and grain angularity are functions for the higher residual strength of the oil sand material. Within the last two decades, the use of numerical methods to model and simulate the behavior of particulate media has gained popularity as a tool for fundamental studies [14-16]. Two numerical methods commonly utilized are the finite element method (FEM) and DEM. Numerical approaches using FEM produce some advantages over the analytical and experimental approaches [17-21]. Material models developed from these methods are either micromechanical Gbadam E (2017) Micromechanical and microstructural DEM modeling of the viscoelastic behavior of oil sands Adv Mater Sci, 2017 doi: 10.15761/AMS.1000116 Volume 2(1): 2-11 [25] were employed to express the relationship between the microscale DEM model parameters and the macroscale material properties. A nonlinear optimization technique was applied to fit the Burger’s viscoelastic contact model using the dynamic modulus laboratory test at different loading rate and temperature. Material and methods Discrete element method The DEM technique is a numerical method introduced by [14] for rock mechanics analysis and then extended by [33] for soil as an alternative to continuum modeling of particulate media. In continuum mechanics, the soil is assumed to behave as a continuous material. The study does not consider the relative movement and rotation of soil grains necessary to understand the micro-level soil behavior. Newton’s second law and finite difference scheme are used to study the mechanical interactions between a large collection of independent and varying discrete particles with rigid or deformable bodies. As the particles and bodies (walls) interact with each other, creating contacts, a force-displacement law (usually termed contact model) is used to update the contact forces and moment arising from the relative motion at each contact. The translational and rotational motion of each particle is calculated from the contact forces and moment using Newton’s second law. The overall governing equation of motion for the dynamic analysis of the DEM system is expressed as Equation (1): ( ) M D K F + + =   u u u (1)  u ,  u , u are the linear and rotational acceleration, velocity, and displacement vectors, respectively; M is mass (including rotational inertia); D is damping; K is internal restoring force; and F is the external force (including moments). The dynamics (translational and rotational motion) of the particle i with mass mi and moment of inertia Ii are governed by the Newton and Euler terms in Equation (2) and (3) [34,35]: C nc f g a i i i j ij k ik i i i m = = ∑ +∑ + + + F F F F F  X f (2) . . t i i i i i i j ij ω ω ω + × = = ∑ I I M   (3) i  X and i ω are the translational and angular accelerations of particle i , respectively; i ω is the angular velocity of particle i; fi and ti are the sum of forces and torques acting on particle i respectively i; C ij F and Mij are the contact force and torque acting on particle i by particle j or rigid/flexible boundary; nc ik F is the non-contact force acting on particle i by particle k (example of non-contact force would be capillary force from a wet media); and f i F , g i F , a i F are the fluid, gravitational, and applied force on particle i. The soft contact approach is used where the particles are assumed to be rigid but allows overlap at the contact points. The contact force is related to the magnitude of the overlap or macromechanical in nature. In macromechanical approaches, a constitutive model is used to represent the global material behavior that considers the material as a continuum. On the other hand, the micromechanical approach is based on discretizing the composite microstructure and modeling the material properties of its constituents [22]. Recently, Gbadam and Frimpong [17], and Brown and Frimpong [18] used FEM to simulate the nonlinear mechanical response of geomaterials and oil sands in formation-tool interactions. FEM is based on continuum mechanics, which lacks the ability to handle large strains and discontinuous strain fields. Hence, model slippage between the aggregate particles, which has been cited as one of the most important mechanisms resulting in permanent deformation or rutting [23], cannot be addressed using FEM. Such limitation can be addressed by an alternative DEM approach. Over the past decade, several researchers have used DEM to simulate discontinuous materials with some success. Current research efforts indicate little or no application of DEM for modeling a composite material, such as oil sands. However, DEM has been used to model the heterogeneous multiphase material of asphalt mixtures [15,24], and a number of researchers have developed micromechanical models with the DEM [25]. The mechanical behaviors of asphalt mixtures are simulated with an elastic model [26-28], a viscoelastic model [15,25,29], and a cohesive model [30]. The elastic models are time-ind
油砂粘弹性特性的微观力学和微观结构DEM建模
此外,研究结果表明,石英颗粒表面粗糙度和颗粒棱角度是油砂材料具有较高残余强度的函数。在过去的二十年中,使用数值方法来模拟颗粒介质的行为作为基础研究的一种工具得到了广泛的应用[14-16]。常用的两种数值方法是有限元法(FEM)和DEM。与分析和实验方法相比,采用有限元方法的数值方法具有一些优势[17-21]。Gbadam E .(2017)油砂粘弹性行为的微观力学和微观结构DEM建模[j] .物质科学,2017 doi: 10.15761/AMS.1000116采用卷2(1):2-11[25]来表达微观尺度DEM模型参数与宏观尺度材料性能之间的关系。采用动态模量室内试验,采用非线性优化技术拟合不同加载速率和温度下的Burger粘弹性接触模型。DEM技术是由[14]引入的一种用于岩石力学分析的数值方法,并由[33]推广到土壤中,作为颗粒介质连续介质建模的替代方法。在连续介质力学中,假定土是一种连续的材料。该研究没有考虑土壤颗粒的相对运动和旋转,这是理解微观土壤行为所必需的。利用牛顿第二定律和有限差分格式研究了具有刚体或可变形体的大量独立和变化的离散粒子之间的力学相互作用。当粒子和物体(壁)相互作用,产生接触时,力-位移定律(通常称为接触模型)用于更新每次接触时相对运动产生的接触力和力矩。每个质点的平移和旋转运动是用牛顿第二定律从接触力和力矩计算出来的。DEM系统动力学分析的总体运动控制方程表示为式(1):(1)M D K F + + =u u u u(1)u,u, u分别为线性和旋转加速度矢量、速度矢量和位移矢量;M为质量(含转动惯量);D是阻尼;K为内部恢复力;F为外力(包括力矩)。质点i具有质量mi和转动惯量Ii的动力学(平移和旋转运动)由方程(2)和(3)中的牛顿和欧拉项控制[34,35]:C nc f g a i i ij j j k k i i i i m = =∑+∑+ + f f f f fX f(2)。ti i i i i ij j ω ω ω + X = =∑i i M(3)iX和i ω分别为粒子i的平移加速度和角加速度;I ω是粒子I的角速度;Fi和ti分别是作用在质点I上的力和力矩之和;C ij F和Mij是质点j或刚柔边界作用在质点i上的接触力和扭矩;nc ik F是粒子k作用在粒子i上的非接触力(非接触力的例子是来自湿介质的毛细力);和f i f, gi f, a i f是流体,重力和施加在粒子i上的力。软接触方法用于假设粒子是刚性的,但允许在接触点重叠。接触力在本质上与重叠的大小或宏观力学有关。在宏观力学方法中,使用本构模型来表示将材料视为连续体的整体材料行为。另一方面,微观力学方法是基于离散复合材料微观结构并模拟其组成部分的材料性能[22]。最近,Gbadam and Frimpong[17]和Brown and Frimpong[18]利用有限元方法模拟了地层-工具相互作用中岩土材料和油砂的非线性力学响应。有限元法基于连续介质力学,缺乏处理大应变和不连续应变场的能力。因此,被认为是导致永久变形或车辙的最重要机制之一的骨料颗粒之间的模型滑移[23]无法用FEM来解决。这种限制可以通过另一种DEM方法来解决。在过去的十年中,一些研究人员已经使用DEM来模拟不连续材料,并取得了一些成功。目前的研究表明,DEM在油砂等复合材料建模中的应用很少或根本没有。然而,DEM已被用于模拟沥青混合料的非均相多相材料[15,24],许多研究人员利用DEM建立了微观力学模型[25]。 沥青混合料的力学行为采用弹性模型[26-28]、粘弹性模型[15,25,29]和内聚模型[30]进行模拟。弹性模型是随时间变化的
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