--> Dynamic Topology: A New Approach to Help Distinguish Modes of Rift Fault Network Formation?
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Dynamic Topology: A New Approach to Help Distinguish Modes of Rift Previous HitFaultNext Hit Network Formation?

Abstract

The evolution of rift Previous HitfaultNext Hit networks is typically associated with changes in the size, density and throw characteristics of constituent faults. Many studies have statistically analysed such changes to determine how strain is accommodated across Previous HitfaultNext Hit networks through time. Although useful, such analyses neglect to incorporate the arrangement of, and relationships between, faults in the network, that is, the network topology. As such, changes in Previous HitfaultNext Hit intersection type and frequency that occur in evolving networks, aspects that become increasingly critical in networks with faults sets of different orientations, have not previously been explored. Analysis of Previous HitfaultNext Hit network topology has previously been applied to final Previous HitfaultNext Hit networks with the aim of understanding Previous HitfaultNext Hit connectivity and fluid flow in a ‘static’ sense. These studies divide the network into nodes and branches. Nodes are classified as either intersections between faults or free Previous HitfaultNext Hit tips, whereas branches represent portions of the faults in between nodes and are classified according to the degree of connectivity to other branches. The topology of a given network is determined by plotting the total number and ratio of different node or branch types on ternary plots. Here we build on this approach by introducing the concept of ‘dynamic’ topology, that is, quantifying changes in the topology of a given network through time. In particular, we assess if: i) ‘dynamic’ topology can elucidate trends as a given Previous HitfaultNext Hit network evolves; and ii) rifts of different types (e.g. single phase rifts, multiphase rifts etc) have distinctive evolutionary pathways. To achieve these aims we constrain and compare topology data from sequential plan view Previous HitfaultNext Hit maps from physical models of different rift types. Physical model outputs are ideal for this study as map view Previous HitfaultNext Hit intersections are well imaged and boundary conditions controlling the formation of the Previous HitfaultNext Hit networks are tightly-constrained. We then test the applicability of ‘dynamic’ topology to natural Previous HitfaultNext Hit systems, applying the approach to seismically imaged natural Previous HitfaultNext Hit networks. Our results indicate: (1) ‘dynamic’ topology can be applied to Previous HitfaultNext Hit networks from rifts with different modes of formation; (2) as Previous HitfaultNext Hit networks mature there are marked changes in intersection type and frequency, along with overall increases in Previous HitfaultTop connectivity that are captured in ternary plots; and, strikingly, (3)) rifts of different types have distinctive evolutionary pathways.