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The kinematics of reactivation of normal faults using high resolution throw mapping

机译:使用高分辨率抛出映射重新激活正常故障的运动学

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Normal reactivation of extensional faults offsetting Cenozoic clastic sediments is investigated using high quality 3D seismic data from offshore Brazil. These faults form complex crestal collapse grabens and result from elliptical doming of the underlying Cretaceous sequence due to Early Cenozoic uplift. The exceptional quality of this dataset allows an extremely detailed analysis of the throw distribution to be conducted on the faults. This, in addition to a reconstruction of the 3D geometry of the fault network, gives insights into the mechanisms and kinematics of reactivation. Two distinct modes of reactivation are recognised from this dataset. The main mode is a classical reactivation by upward propagation of pre-existing structures. A second mode, termed reactivation by dip linkage, is the propagation of an individual fault segment initiated above the pre-existing faults that hard link in the dip direction. For both mechanisms, reactivation processes are selective and only occur on some portions of faults. Factors controlling the preferential reactivation of some segments include: (1) orientation of the pre-existing fault plane relative to the principal stresses responsible for the reactivation, (2) segmentation of the pre-existing network and (3) maximum dimensions and throw values of pre-existing faults and basal tip line geometry associated with a detachment. Reactivation is an important process that may account for part of the scatter in fault-scaling relationships and should be included in fault-growth models.
机译:使用来自巴西近海的高质量3D地震资料,对抵消新生代碎屑沉积物的伸展断层的正常再活化进行了研究。这些断层形成复杂的地壳塌陷,是由于早新生代隆升引起的下白垩统层序椭圆形隆起所致。此数据集的卓越质量允许对故障进行异常分布的详细分析。除了重建故障网络的3D几何形状外,这还可以深入了解重新激活的机制和运动学。从该数据集中识别出两种不同的重新激活模式。主要模式是通过先前结构的向上传播进行的经典重新激活。第二种模式称为通过倾角链接重新激活,是在倾角方向上硬链接的预先存在的断层之上发起的单个断层段的传播。对于这两种机制,重新激活过程都是选择性的,并且仅在故障的某些部分上发生。控制某些分段优先重新激活的因素包括:(1)预先存在的断层相对于负责重新激活的主应力的方向;(2)预先存在的网络的分段;(3)最大尺寸和抛出值与断层有关的既存断层和基部尖端线的几何形状。重新激活是一个重要的过程,可能会导致故障扩展关系中的部分分散,因此应将其包括在故障增长模型中。

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