地球深部含盐流体的状态方程和电导率:来自分子模拟的见解

Y. Mei, Weihua Liu, R. Chopping
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引用次数: 0

摘要

澳大利亚下一代矿物和能源系统的发现将在更深的覆盖层或水中进行,并且需要对地球深处的了解。首先,这些发现将通过了解支撑系统的岩石圈特性和资源运输来推动。然而,我们对岩石圈尺度矿物系统的物理化学性质缺乏很好的理解,这阻碍了我们对现有数据的解释,并使预测模型难以使用。这些性质很难在实验室中测量,但可以通过分子动力学模拟来获得。通过分子动力学模拟,利用高性能计算机研究了含盐流体在温度(25-1000℃)、压力(1-60 kbar)和盐度(0-10 m)范围内的化学和物理性质。预测了NaCl溶液的状态方程、离子缔合和扩散常数,并将其拟合到电导率模型中。通过将预测地球物理特性与大规模模型相结合,本研究将制定基本指南,为矿产勘探的地球物理数据解释提供基础。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Equation-of-state and electrical conductivity of NaCl-bearing fluids in the deep Earth: insights from molecular simulations
Summary The next generation of mineral and energy system discoveries in Australia will be made under deeper cover or water and require knowledge of the deep earth. Primarily, these discoveries will be driven by understanding the lithospheric properties and resource transport that underpin the systems. Nevertheless, our lack of good understanding of the physical-chemical properties of lithospheric scale mineral systems hinders our interpretation of available data and makes predictive models difficult to use. These properties are very difficult to measure in the laboratory but are accessible through molecular dynamic simulations. We used molecular dynamics simulations to investigate the chemical and physical properties of the NaCl-bearing fluids over wide range of temperature (25-1000 °C), pressure (1-60 kbar) and salinity (0-10 m) using high-performance computers. The equation-of-state, ion association and diffusion constant of NaCl solutions were predicted and fitted into an electrical conductivity model. By integrating predictive geophysical properties with large-scale models, this study will develop essential guides that underpin interpretation of geophysical data for mineral exploration.
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