扬子江中下游成矿带杨庄基鲁纳型铁矿形成过程的数值模拟:基鲁纳型氧化铁-磷灰石体系的成因和寿命

IF 2 4区 地球科学 Q3 GEOSCIENCES, MULTIDISCIPLINARY Solid Earth Sciences Pub Date : 2022-03-15 DOI:10.1016/j.sesci.2021.11.006
Xunyu Hu , Simon Jowitt , Feng Yuan , Guangxian Liu , Jinhui Luo , Yuhua Chen , Hui Yang , Keyue Ren , Yongguo Yang
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引用次数: 4

摘要

杨庄铁矿床是长江中下游成矿带宁武矿区的一个基律纳型氧化铁磷灰石(IOA)矿床。本研究采用数值模拟方法来识别与矿床形成相关的关键过程,包括矿化过程的持续时间和与矿床相关的侵入体中的铁矿体的成因,这些过程无法通过传统的分析方法轻松识别。该方法突出了数值模拟在矿床形成过程中定量分析成矿过程中的实用价值,并评估了这些方法在未来地质研究中的应用。我们的数值模型将热传递、压力、流体流动、化学反应和成矿物质的运动联系起来。结果表明,温度异常和构造(岩体与三叠系徐家山群的接触)是控制阳庄矿床形成的两个关键因素。该模型还表明,阳庄矿床的形成只花了大约8000年的时间,这一反应很可能是由系统内的温度和扩散速率控制的。温度和矿化分布的动态变化也表明,位于侵入体内部的矿体很可能是岩浆上升后形成的,而不是由于回采或其他类似过程而下降到岩浆中的现有矿化块。这些数据为今后进一步深入研究基鲁纳型岩浆热液系统的形成过程奠定了基础,并为今后对这些系统的勘探提供了有益的见解。本研究采用的模拟方法存在化学反应过于简化、成矿前条件的不确定性以及二维模型的局限性等局限性。今后理论和方法的发展必将提高成矿过程数值模拟的实际意义,为更多的地质问题提供定量化的结果。
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Numerical modeling of mineralizing processes during the formation of the Yangzhuang Kiruna-type iron deposit, Middle and Lower Yangtze River Metallogenic Belt, China: Implications for the genesis and longevity of Kiruna-type iron oxide-apatite systems

The Yangzhuang iron deposit is a Kiruna-type iron oxide-apatite (IOA) deposit within the Ningwu mining district of the Middle and Lower Yangtze River Metallogenic Belt (MLYRMB), China. This study applies a numerical modeling approach to identify the key processes associated with the formation of the deposit that cannot be easily identified using traditional analytical approaches, including the duration of the mineralizing process and the genesis of iron orebodies within intrusions associated with the deposit. This approach highlights the practical value of numerical modeling in quantitatively analyzing mineralizing processes during the formation of mineral deposits and assesses how these methods can be used in future geological research. Our numerical model links heat transfer, pressure, fluid flow, chemical reactions, and the movement of ore-forming material. Results show that temperature anomaly and structure (occurrence of the contact of intrusion and the Triassic Xujiashan group) are two key factors controlling the formation of the Yangzhuang deposit. This modeling also indicates that the formation of the Yangzhuang deposit only took some 8000 years, a reaction that is likely to be controlled by temperature and diffusion rates within the system. The dynamic changes of temperature and the distribution of mineralization also indicate that the orebodies located inside the intrusions most likely formed after magma ascent rather than representing blocks of existing mineralization that descended into the magma as a result of stoping or other similar processes. All these data form the basis for future research into the forming processes of Kiruna-type IOA systems as well as magmatic–hydrothermal systems more broadly, including providing useful insights for future exploration for these systems. The simulation approach used in this study has several limitations, such as oversimplified chemical reactions, uncertainty of pre-metallogenic conditions and limitation of 2D model. Future development into both theories and methods will definitely improve the practical significance of numerical simulation of ore-forming processes and provide quantitative results for more geological issues.

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来源期刊
Solid Earth Sciences
Solid Earth Sciences GEOSCIENCES, MULTIDISCIPLINARY-
CiteScore
3.60
自引率
5.00%
发文量
20
审稿时长
103 days
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