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首页> 外文期刊>Exploration Geophysics >Grid-search inversion based on rock physics model for estimation of pore geometry and grain elastic moduli: application to hydrothermal ore deposits and basalt
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Grid-search inversion based on rock physics model for estimation of pore geometry and grain elastic moduli: application to hydrothermal ore deposits and basalt

机译:基于岩石物理模型的网格搜索反演,估计孔隙几何和晶粒弹性模量:应用于水热矿床和玄武岩

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摘要

The seismic velocity of rock material is sensitively affected by the pore geometry, and pore geometry is a key parameter related to the hydraulic properties of the rock. In this study, we propose a grid-search inversion method to estimate pore geometry and grain elastic moduli from observed velocity-porosity relationships. In our inversion, we compare laboratory-derived velocity-porosity relationships with the theoretical relationship calculated via the differential effective medium (DEM) model, assuming rock samples of the same lithology have the same crack aspect ratio. Compared with existing approaches to estimate elastic moduli and pore geometry, our approach is easy to apply because it can be applied to physical properties measured at atmospheric pressure without changing pressure. We tested our proposed inversion method using synthetic data, and successfully estimated the grain elastic moduli and crack aspect ratio. We also applied our inversion method to P-wave velocity and porosity measured in the laboratory on various rock samples acquired at the hydrothermal field and plate spreading centre, and found that the velocity-porosity relationship derived from DEM theory for the inverted model parameters agreed with the laboratory data. Using our proposed method, we estimate the average pore aspect ratio and grain bulk moduli for basaltic and hydrothermal ore deposit samples. Furthermore, the root mean square error (RMSE) distribution obtained in the grid-search inversion enables us to evaluate the uncertainty of the estimated values.
机译:岩土材料的地震速度受到孔几何形状的敏感性,孔几何形状是与岩石的液压特性有关的关键参数。在这项研究中,我们提出了一种网格搜索反演方法来估计观察到的速度孔隙率关系的孔几何形状和晶粒弹性模量。在我们的反演中,我们将实验室衍生的速度 - 孔隙度关系与通过差分有效介质(DEM)模型计算的理论关系进行比较,假设相同岩性的岩石样本具有相同的裂缝纵横比。与估计弹性模和孔几何形状的现有方法相比,我们的方法易于施加,因为它可以应用于在大气压下测量的物理性质而不改变压力。我们测试了使用合成数据的提出的反演方法,并成功地估计了晶粒弹性模态和裂纹纵横比。我们还将倒置方法应用于在水热场和板蔓延中心获取的各种岩石样品中测量的P波速度和孔隙率,并发现衍生自DEM理论的速度孔隙率关系与倒模参数同意实验室数据。利用我们提出的方法,我们估计玄武岩和水热矿床样品的平均孔径纵横比和谷物散装模量。此外,在网格搜索反演中获得的根均方误差(RMSE)分布使我们能够评估估计值的不确定性。

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