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黄铁矿热电性是在地质找矿及评价中应用十分广泛的标型特征之一,也是矿床预测中的一种快速、便捷的技术方法。它在判断成矿温度、剥蚀程度、矿床规模及找隐伏矿体等方面均有重要作用(申俊峰和李胜荣等,2013)。传统的热电性分析往往是从二维的角度进行的,本文选择樊岔Au矿床为研究对象,结合矿区已有的地形地质图、勘探线剖面等地质资料,利用GOCAD软件的核心算法—离散光滑插值(DSI)方法,对黄铁矿热电性的三维时空分布特征进行了探讨,并对矿区深部成矿远景进行
Pyrite thermoelectricity is one of the most widely used standard features in prospecting and evaluation of geology, and is also a rapid and convenient technical method in prospect prediction. It plays an important role in determining metallogenic temperature, denudation, deposit size and finding hidden ore bodies (Shen Junfeng and Li Shengrong et al., 2013). The traditional thermoelectric analysis is often conducted from a two-dimensional perspective. In this paper, the Fancha Au deposit is selected as the research object. According to the geological data of the existing terrain and prospecting lines in the mining area, the core algorithm of GOCAD software, discrete smooth (DSI) method, the pyroelectricity of pyrite is discussed in terms of three-dimensional spatiotemporal distribution, and the deep mineralization prospect of the mining area