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Archean crust and metallogenic zones in the Amazonian Craton sensed by satellite gravity data

机译:卫星重力数据感应到亚马逊克拉通的太古代地壳和成矿带

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摘要

The formation of ore deposits has been extensively studied from a shallow crust perspective. In contrast, the association of mineral systems with deep crustal structure of their host terranes remains relatively undisclosed, and there is evidence that processes throughout the lithosphere are coupled for their evolution. The current debate centers on the control of the regional deep crustal architecture in focusing and transferring fluids between geochemical reservoirs. Defining such architecture is not unequivocal, and involves combining indirect information in order to constrain its physical properties and evolution. Herein, based on evidence from satellite gravity, constrained by airborne potential field data (gravity and magnetics), we provide an example on how the lithosphere geometry controlled the location of copper and gold systems in the world-class Archean Carajás Mineral Province (Amazonian Craton, South America). Validation with information from passive seismic (wave speeds, crustal and lithospheric thickness) and geochronologic data (model, crystallization ages, and Neodymium isotope ratio determinations) portrays a significantly enlarged, poly-phase, Archean crust that exerted geometric control on the location of the mineral systems within and adjacent to the province during tectonic quiescence and switches. This new geologic scenario impacts the understanding of the Amazonian Craton. Synergy between multi-source data, as experimented here, can provide robust models efficiently and, conceivably, help to unveil similar terrains elsewhere.
机译:从浅地壳的角度已经广泛研究了矿床的形成。相比之下,矿物系统与其宿主地壳的深层地壳结构之间的联系仍然相对不为人所知,并且有证据表明整个岩石圈的过程都与其演化有关。当前的争论集中在控制地球化学储层之间的流体集中和转移方面,如何控制区域深层地壳结构。定义这样的体系结构并不是明确的,并且涉及组合间接信息以限制其物理特性和演化。在此,基于卫星重力的证据,并受机载电势场数据(重力和磁场)的约束,我们提供了一个示例,说明岩石圈的几何形状如何控制世界级的阿基恩卡拉加斯矿产省(亚马逊克拉通)中铜和金系统的位置, 南美洲)。对来自被动地震(波速,地壳和岩石圈厚度)和地质数据(模型,结晶年龄和钕同位素比确定)的信息进行的验证描绘了一个明显扩大的多相太古宙地壳,对地壳位置进行了几何控制。构造静止和转换过程中省内及附近的矿物系统。这种新的地质情况影响了对亚马逊克拉通的理解。如此处所述,多源数据之间的协同作用可以有效地提供强大的模型,并且可以想象,它有助于揭示其他地方的相似地形。

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