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Theoretical formulation and seamless discrete approximation for localized failure of saturated poro-plastic structure interacting with reservoir

机译:饱和孔隙塑性结构与油藏相互作用局部破坏的理论公式和无缝离散逼近

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This paper deals with nonlinear fluid-structure problems brought about by progressive localized failure of a dam structure built of porous cohesive material in interaction with reservoir under extreme static and/or dynamic loads. The theoretical formulation for structure is based upon Biot's porous media theory extended to localized poro-plasticity that provides a sharp representation of cracks saturated with fluid. The fluid-structure interaction is handled by a seamless discretization between structure and fluid achieved by using a judicious combination of Voronoi cell approximation for structure, finite element approximation for fluid saturating cracks and finite element approximation for outside fluid. This is achieved by exploiting the duality of Voronoi cell and Delaunay triangle representations to allow exchanging information between mechanics and pore pressure fields at the numerical integration points to account for internal fluid-structure interaction, as well as with the external fluid motion in the reservoir being limited to small (irrotational) motion, described by Lagrangian description and mixed discrete approximation. Numerical simulations illustrate an excellent performance of the proposed model, capable to provide the overall safety assessment for pore-saturated structures, with outside fluid acting as the source of pore saturation and the external loading, in both quasi-static and dynamic setting. (C) 2019 Elsevier Ltd. All rights reserved.
机译:本文研究了在极端静态和/或动态载荷下,由多孔黏性材料建造的坝结构与储层相互作用时,逐渐发生局部破坏而引起的非线性流体结构问题。结构的理论公式是基于Biot的多孔介质理论,扩展到局部孔隙可塑性,可以清晰地表示流体饱和的裂缝。流体与结构的相互作用通过结构与流体之间的无缝离散来处理,方法是将Voronoi单元近似用于结构,有限元近似用于流体饱和裂纹和有限元近似用于外部流体。这是通过利用Voronoi单元和Delaunay三角形表示的对偶性来实现的,从而允许在数值积分点处的力学和孔隙压力场之间交换信息,以解决内部流体与结构的相互作用以及储层中外部流体的运动。拉格朗日描述和混合离散逼近描述的方法仅限于小(无旋转)运动。数值模拟显示了所提出模型的出色性能,能够在准静态和动态设置下,以外部流体作为孔隙饱和和外部载荷的来源,从而为孔隙饱和结构提供整体安全性评估。 (C)2019 Elsevier Ltd.保留所有权利。

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