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METHOD OF ESTIMATING ELASTIC PROPERTIES OF KEROGEN USING MULTI-SCALE DATA INTEGRATION

机译:利用多尺度数据集成估算出弹性的弹性方法

摘要

The present disclosure is directed to numerically estimating the shear modulus of Kerogen by using a combination of mineralogy from digital image analysis and sonic log analysis, when measured data on only one elastic constant (Bulk, Young's or P-wave modulus) is available. In some instances, elastic properties predicted from the digital images are compared with sonic, shear, and density logs, to estimate the shear modulus of kerogen. As a one-to-one correspondence is not expected between the core sub-samples and the rock unit sampled by the well logs, cross-property relations can be used to identify the suitability of the effective medium models and to iteratively determine the shear modulus of kerogen.
机译:当仅关于一个弹性常数(体波,杨氏或P波模量)的测量数据可用时,本公开内容针对通过使用来自数字图像分析和声波测井分析的矿物学的组合来数值估计干酪根的剪切模量。在某些情况下,将从数字图像预测的弹性特性与声波,剪切和密度测井进行比较,以估算干酪根的剪切模量。由于预计在岩心子样本和通过测井取样的岩石单元之间不会一一对应,因此可以使用跨属性关系来识别有效介质模型的适用性并迭代确定剪切模量。干酪根。

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