Introduction to Modeling of Transport Phenomena in Porous Media
Introduction to Modeling of Transport Phenomena in Porous Media
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DOI：
10.1007/978-94-009-1926-6
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发表时间：
1990-03
期刊：
影响因子：
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通讯作者：
Jacob Bear;Y. Bachmat
中科院分区：
文献类型：
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作者：
Jacob Bear;Y. Bachmat
这本书的主要目的是提供理论背景的工程师和科学家从事模拟传输现象在多孔介质中，与各种工程项目，并作为一个文本的高级和研究生课程的传输现象在多孔介质。这些课程在各个学科中教授，例如土木工程，化学工程，水库工程，农业工程和土壤科学。在这些学科中，遇到的问题，其中各种广泛的量，例如，质量和热量，通过多孔材料域传输。多孔材料通常包含几个流体相，并且各种大量的流体在多相系统中同时输送。在所有这些学科中，必须做出与系统开发及其运行相关的管理决策。要做到这一点，“管理者”或规划者需要一种工具，使他能够预测系统对拟议管理方案实施的反应。这种预测采用描述所考虑系统的未来状态的变量的空间和时间分布的形式。压力、应力、应变、密度、速度、溶质浓度、温度等，对于系统中的每个相，有时对于相的分量，可以用作状态变量的示例。实现所需预测的工具是模型。模型可以定义为真实的（多孔介质）系统的简化版本，其近似地模拟了后者的激发-响应关系。
The main purpose of this book is to provide the theoretical background to engineers and scientists engaged in modeling transport phenomena in porous media, in connection with various engineering projects, and to serve as a text for senior and graduate courses on transport phenomena in porous media. Such courses are taught in various disciplines, eg, civil engineering, chemical engineering, reservoir engineering, agricultural engineering and soil science. In these disciplines, problems are encountered in which various extensive quantities, eg, mass and heat, are transported through a porous material domain. Often the porous material contains several fluid phases, and the various extensive quantities are transported simultaneously throughout the multiphase system. In all these disciplines, management decisions related to a system's development and its operation have to be made. To do so, the'manager', or the planner, needs a tool that will enable him to forecast the response of the system to the implementation of proposed management schemes. This forecast takes the form of spatial and temporal distributions of variables that describe the future state of the considered system. Pressure, stress, strain, density, velocity, solute concentration, temperature, etc., for each phase in the system, and sometime for a component of a phase, may serve as examples of state variables. The tool that enables the required predictions is the model. A model may be defined as a simplified version of the real (porous medium) system that approximately simulates the excitation-response relations of the latter.