Processes of sedimentation, stratigraphic architecture, and provenance of deep-water depositional systems [electronic resource] : the upper Miocene Upper Mount messenger formation, Taranaki Basin, New Zealand and Pliocene Repetto and Pico formations, Ventura Basin, California
- Jonathan R. Rotzien.
- Physical description
- 1 online resource.
All items must be viewed on site
Request items at least 2 days before you visit to allow retrieval from off-site storage. You can request at most 5 items per day.
|3781 2013 R||In-library use|
- This dissertation characterizes the processes of sedimentation, lithofacies, lithofacies associations, depositional architecture, depositional environments, provenance, and overall evolution of the Upper Miocene Upper Mount Messenger Formation, Taranaki Basin, New Zealand and Pliocene Repetto and Pico formations, Ventura Basin, California. First, the Upper Mount Messenger Formation represents a deep-water slope apron composed of at least five genetically-linked, north-trending, paired channel-levee elements and large-scale overbank avulsion cycles that systematically stack to the southwest. Second, the uniformly fine- to very fine-grained sandstone of the Upper Mount Messenger Formation is largely derived from low-grade metamorphic forearc sandstone and graywacke recycled from the Torlesse and Waipapa terranes. Third, the Repetto and Pico formations represent a type of braided system composed of lobe complexes that lack upslope channel-levee feeders that would necessitate the term 'frontal' lobe. These lobes spilled from canyon mouths lining the Ventura Basin margin and were redirected to flow westward along the basin axis. This type of deep-water system is analogous to how deposits form at the mouths of alluvial fans that feed terrestrial braided river valleys. In addition to the application of this dissertation to understanding the basic science surrounding processes of sedimentation from density flows and specific evolution of flows that deposited the sediment in these formations, models presented here can be used to predict sediment distribution patterns in other deep-water hydrocarbon basins lacking sufficient data.
- Publication date
- Submitted to the Department of Geological and Environmental Sciences.
- Thesis (Ph.D.)--Stanford University, 2013.
Browse related items
Start at call number: