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介绍了文章提出的数据规范微结构模型(DCM)在确定材料孔隙及物相分布方面的应用.多光谱X光CT数据约束下的DCM模型,是一种高CPU计算效率的线性及非线性最优化途径.DCM模型的非线性最优化途径允许把对材料的前期了解或其他实验测试结果植入其中,从而使得对材料的微观结构表征更加精确.文章通过与油气资源相关的具体实例展示了DCM模型的应用.对材料组分三维分布的精确表征有助于更加准确地表征及计算包括渗透性在内的材料其他物理性质.
This paper introduces the application of data specification microstructure model (DCM) proposed in this paper to determine the pore and phase distribution of materials.Multi-spectral X-ray CT data constraints DCM model is a linear and nonlinear high computational efficiency of CPU Optimization Approach The non-linear optimization approach of the DCM model allows for up-front knowledge of the material or other experimental test results to be inset to make the microstructural characterization of the material more accurate.This paper presents DCM with concrete examples of hydrocarbon resources Model Applications Accurate characterization of the three-dimensional distribution of material components helps to more accurately characterize and calculate other physical properties of materials, including permeability.