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A natural analogue of a CO2 reservoir: the Latera Caldera (central Italy). Insight from field data to numerical modeling of fluid flow through a fracture network.

机译:CO2水库的自然类似物:Shorta Caldera(意大利中部)。通过裂缝网络从现场数据洞察流体流动的数值模拟。

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Introduction Fractured volumes of rock and fault zones in the upper crust are typically composed of complex brittle discontinuities network. Determining the architecture of the fracture network and the patterns and rates of fluid flow in these structural discontinuities is a three dimensional problem. Modeling of fractures is generally performed using two basic approaches, probabilistic and deterministic. The obtained 3D models are used for numerical simulation of fluid flow, in order to identify the primary controlling parameters of fault and fractures related fluid flow. 3D probabilistic model of fractures network are based of field data (orientation, spatial distribution and density), used as input parameters, whereas deterministic models are based on kinematics and dynamic constraints. In any case, their accuracy is rather limited, due to the high number of parameters that controls fracturing processes (lithology, pressure, stresses).
机译:引言上地壳中的岩石和断层区域的裂缝体积通常由复杂的脆性不连续网络组成。确定裂缝网络的架构以及这些结构不连续性中的流体流动的图案和速率是三维问题。裂缝建模通常使用两种基本方法,概率和确定性进行。所获得的3D模型用于流体流动的数值模拟,以识别故障和裂缝相关流体流动的主要控制参数。 3D骨折网络概率模型基于现场数据(方向,空间分布和密度),用作输入参数,而确定性模型基于运动学和动态约束。在任何情况下,它们的准确性相当有限,因为控制压裂过程(岩性,压力,应力)的大量参数。

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