| 矿床灰色预测系统观 |
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| 引用本文：徐忠祥,陈守余,吴国平.1996.矿床灰色预测系统观[J].地球学报,17(z1):207-214. |
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| 中文摘要:矿床是在漫长的时间、广阔的空间、复杂的介质中，由一定的成矿作用形成，赋存于地质环境发生局部性变异的地区。这种异常变化可分为地理、地球物理、地球化学三大类。它们概有各自的特殊性，又有相经的关联性。人们采用地质、地球物理、地球化学勘探方法获提的找矿信息，可以将其视为成矿作用在3个侧面的表现形式。显然，用现代灰色系统思想来分析，长期、复杂、多源的成矿作用是灰色动态过程；综合方法寻找矿床是地质找矿灰色系统工程，矿床形成和分布是多种控矿地质因素综合作用、相互关联、发展变化的灰色系统。因此，从矿床的预测的意义上说，就是对这个系统进行整体上的考察，揭示灰色成矿场的展布，以圈定矿床赋存的最有利部位。
在新的矿床预测方法的研究中，我们把灰色系统理论与地质、物探、化探方法相结合，提出了以已知矿床上建立的参考数列系为灰色子波，对研究区的比较数列系进行关联度扫描，从中圈定关联度异常，预测矿床赋存部位的矿床灰色预测法。在新疆哈密研究区作了隐伏铜镍矿床预测试验，证实了该方法具有矿床信息提取、综合处理、靶区优选、定位预测的功能，适用于大比例尺隐伏矿床预测。 |
| 中文关键词:矿床 灰色成矿场 灰色关联滤波 矿床灰色预测 |
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| The Principle and Its Application of Grey System Theory to Forecasting of Mineral Deposits |
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| Abstract:The mineral deposits, resulting from a certain mineralization for a very long time, in wide space, and in complex media, exist in the areas where the geological environ-ments have gone through local deviations. This kind of deviation can be classifide as three categories: geology, geophysics, and geochemistry. The three categoryes contain their own specific features, and are also associated with each other. The exporation methods in terms of geology, geophysics, and giochemistry have been employed to obtain the prospecting in-formation, a phenomenon considered as a representation of the three aspects of the mineral-ization. Obviously, the modern grey system theory can be used to analyse the long-term, complicated, and multi-source mineralization, a representation of a grey dynamic pro-cess. The comprehensive method can be used to locate the mineral deposits,a representa-tion of a grey system engineering for the geological prospecting. The formation and the distribution of mineral deposits are considered as a grey sysem composed of multi-factors in ore control associated with each other and in a dynamic changing state. Therefore, this system shoild be observed comprhensively, in a dynamic changing state. Therefore, this system shoild be observed comprehensively, in terms of the prognosis of the mineral de-posits, in order to reveal the distribution of the grey mineralization field, and to locate the place most favorable for the mineral deposit to exist in.
The new research methodology for the forecasting of mineral deposits combines the grey system theory with methods in terms of geology, geophsycal exploration, and geo-chemical exploration. In this research, the reference number series based on the known mineral deposits are proposed to be grey sub-waves. The correlationalscanning covers the number series for comparision in the controlled region. In this way, the correlational anomaly can be determined for the forecasting of the place for the mineral deposits to exist in. This grey forecasting of mineral is depost were applied to and then checked in the fore-casting of the concealed copper and nickel deposit in Hami, Xinjiang. The thirteen indica-tors in terms of geology, geophysical exploration, and geochemical exploration were chosen in the collection of prospecting information in the research region: 7 geological indicators in terms of adjacent-rock property, rock-mass lithoglogy, rock-mass age, rock-mass ero-sion, mineralization, vein rock, and fracture; 3 geophysical exploration indicators in terms of induced polarization anomaly ηs, apparent resistivity ρs, and magnetic anomaly Za; and 3 geochemical exploration indicatiors in terms of Cu, Ni, and Co sevondary haloes. Altogether 38 indicator states were classified, and 27028 data were collected. The forecasting practics shows that the distribution of the correlational anomaly corresponds to the location of the copper and nickel deposit. The research method is used to design the location of Hole ZKY1. When the drill bit passed along the hole to the along the hole to the depth between 110 and 190 meters below the earth suface, it is drilled through more than 50 meters of copper and nickel beds. This practice thus proved that the method can be used for the col-lection of the mineral deposit information, for the comprehensive processing of the infor-mation, for the optimization of the target region, and for the forecasting of the location of the mineral deposit. In this case, the method are appropriate for the large-scale forecast-ing of the concealed mineral deposits. |
| keywords:mineral deposit grey mineralization field grey correlated filter correla-tional anomaly grey forecasting of mineral deposit |
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