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161.
162.
热穹隆构造及其对金矿的控矿作用 总被引:5,自引:2,他引:5
热穹隆构造是在一个构造活动(逆冲)带中,由沿走向发生的地壳差异性升降运动(走向波浪机制)产生的构造穹隆中的热(液)活动事件,或是在这些部位由于中浅成岩浆岩的底辟式侵入而产生的热力性穹隆构造,它对金矿成矿的控制机理主要体现在适宜的浅层构造空间,贯深性构造通道及深源(下地壳)的岩浆源和矿质热液源的有机统一,主要的容矿空间为穹隆构造所产生的放射状(或束状)及环状构造裂隙系统。 相似文献
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164.
在综合研究分析金川铜镍矿区前人资料的基础上,经现场地质调查、收集地质资料,总结了矿区的成矿规律,有针对性地在Ⅰ矿区的北东侧开展了地质-地球电化学-地球物理多元信息的深部边部成矿预测。根据地电化学数据的统计结果,对矿区元素共生组合和成矿作用、成矿期次等地球化学特征进行了探讨,以此确定了地电化学综合异常;在掌握矿区岩石、矿石物性特征的情况下,通过地球物理勘探推测在Ⅰ号矿体与F1断裂之间存在一隐伏的超基性岩体。最终对矿区进行地质-地电化学-地球物理特征的综合分析,圈定了测区的找矿远景区。 相似文献
165.
青海五龙沟金矿区蚀变矿物光谱特征与找矿应用 总被引:2,自引:0,他引:2
使用近红外光谱仪对五龙沟金矿区主要蚀变矿物进行了光谱测试,获得该矿区主要蚀变矿物的光谱数据;同时选择部分具有代表性的样品进行详细的镜下鉴定,并将镜下鉴定结果与野外实测光谱曲线进行对比分析,检查其对五龙沟金矿体矿化蚀变快速检测的有效性和准确度。对比分析结果表明,蚀变分带与矿体吻合较好,对矿化分带具有较好的指示意义,也为该区的金矿勘探提供了依据。 相似文献
166.
中国红土型金矿床研究综述 总被引:8,自引:1,他引:8
对红土型含矿床的勘查现状,矿化特征及成矿规律进行了探讨和总结,认为它形成于第三系-第四系红土风化壳内,可包括狭义的铁帽型金矿床,;概述了红土型金矿床的有效勘查方法和具体勘查方案。 相似文献
167.
吴仁贵 《华东地质学院学报》1998,21(4):324-326
本文讨论了准噶尔盆地北部地区姜石层的特征及成因,北准地区新第三系至第四系出现多层姜石层,这些姜石层的存在,表明该地区具有形成第三系可地浸砂岩型铀矿的良好前景。 相似文献
168.
Zhou Taofa Wu Mingan Fan Yu Duan Chao Yuan Feng Zhang Lejun Liu Jun Qian Bing Franco Pirajno David R. Cooke 《Ore Geology Reviews》2011,43(1):154-169
The Middle-Lower Yangtze (Changjiang) River Valley metallogenic belt is located on the northern margin of the Yangtze Craton of eastern China. Most polymetallic deposits in the Changjiang metallogenic belt are clustered in seven districts where magmatism of Mesozoic age (Yanshanian tectono-thermal event) is particularly extensive. From west to east these districts are: E-dong, Jiu-Rui, Anqing-Guichi, Lu-Zong, Tong-Ling, Ning-Wu and Ning-Zhen. World-class iron ore deposits occur in the Lu-Zong and Ning-Wu ore clusters, which are mainly located in continental fault-bound volcanic-sedimentary basins. One of these deposits is the Longqiao iron deposit, discovered in the northern part of the Lu-Zong Basin in 1985. This deposit consists of a single stratabound and stratiform orebody, hosted in sedimentary carbonate rocks of the Triassic Dongma'anshan Formation. A syenite pluton (Longqiao intrusion) is situated below the deposit. The iron ore is massive and disseminated and the ore minerals are mainly magnetite and minor pyrite. Wall rock alteration mostly consists of skarn minerals, such as diopside, garnet, potassic feldspar, quartz, chlorite, phlogopite and anhydrite. Thin sedimentary siderite beds of Triassic age occur as relict laminated ore at the top and the margin of the magnetite orebody. These sideritic laminae are part of Triassic evaporite-bearing carbonate deposits (Dongma'anshan Formation).Sulfur isotopic compositions show that the sulfur in the deposit was derived from a mixture of magmatic hydrothermal fluids and carbonate–evaporite host rocks. Similarly, the C and O isotopic compositions of limestones from the Dongma'anshan Formation indicate that these rocks interacted with magmatic hydrothermal fluids. The O isotopic compositions of the syenitic rocks and minerals from the deposit show that the hydrothermal magnetite and skarn minerals were formed from magmatic fluids. The Pb isotopic compositions of sulfides are similar to those of the Longqiao syenite. Phlogopite coexisting with magnetite in the magnetite ores yielded a plateau age of 130.5 ± 1.1 Ma (2σ), whereas the LA-ICP MS age of the syenite intrusion is 131.1 ± 1.5 Ma, which is slightly older than the age of phlogopite.The Longqiao syenite intrusion may have crystallized from a parental alkaline magma, generated by partial melting of lithospheric mantle, during extensional tectonics. The ore fluids were probably first derived from magma at depth, later emplaced in the sedimentary rocks of the Dongma'anshan Formation, where it interacted with siderite and evaporite-bearing carbonate strata, resulting in the formation of magnetite and skarn minerals. The Longqiao iron deposit is a skarn-type stratabound and stratiform mineral system, genetically and temporally related to the Longqiao syenite intrusion. The Longqiao syenite is part of the widespread Mesozoic intracontinental magmatism (Yanshanian event) in eastern China, which has been linked to lithospheric delamination and asthenospheric upwelling. 相似文献
169.
The Anqing Fe–Cu skarn deposit, with an age of 134 to 142 Ma and resources of 62.4 Mt at 0.906% Cu and 32.2% Fe, is one of the most important deposits in the Yangtze River Metallogenic Belt, East China. To better understand the localization of orebodies and thus facilitate predictive exploration of deep orebodies, computational modeling is used to simulate the coupled geodynamic processes during the syn-tectonic cooling of the ore-related intrusion, based on geological and geophysical investigations in the Anqing orefield.The occurrences of the ore veins and veinlets in diorite and skarn, as well as the sharp zigzag boundary of the orebody, indicate that the Cu ores were deposited after the solidification of the diorite and skarn formation, and were located in some tensional structural spaces that are unevenly distributed along the contact zone between the felsic intrusion and sedimentary carbonates. The locations of orebodies are closely associated with the contact zone shape. The computational results of two models with two typical contact-shapes show that pore fluid flow was focused into the dilation zones from different sources. All the significant dilation zones, in which the existing orebodies were located, are distributed in some specific places of the south contact zone of the intrusion. In addition, these dilation zones are closely related to the contact zone shape of the intrusion and can control the location of orebodies through the coupled mechano-thermo-hydrological processes during cooling of the intrusion in the extension setting. The skarns are not critical for controlling the localization of orebodies. This means that exploration for deep ore should target deep dilation zones close to the contact boundary of the intrusion. Such recognition may provide a useful guide in selecting exploration targets in the Anqing orefield. As a direct result of computational modeling, an orebody has been discovered in the deep dilation zone in this orefield. It demonstrates that computational modeling is a promising tool for understanding the metallogenic processes and for facilitating the deep exploration of hidden orebodies that are related to intrusions. 相似文献
170.