Salt pillows and localization of early structures: case study in the Ucayali Basin (Peru)
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Published:January 01, 2013
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CiteCitation
I. Moretti, J. P. Callot, M. Principaud, D. Pillot, 2013. "Salt pillows and localization of early structures: case study in the Ucayali Basin (Peru)", Thick-Skin-Dominated Orogens: From Initial Inversion to Full Accretion, M. Nemčok, A. Mora, J. W. Cosgrove
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Abstract
In many compressive zones, there is a risk of undercharged hydrocarbon prospects as a result of timing, that is, the growth of the structure is younger than the main fluid migration phase. The North Ucayali Basin represents a setting of this type, where locating the earliest structures is crucial for well placement. In the North Ucayali Basin, the variable amount of erosion at the top of the structures shows that they are not uniformly recent. Although the growth of early structures may be explained by the reactivation of inherited features during shortening, evaporitic pillows may represent an alternative factor...
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Contents
Thick-Skin-Dominated Orogens: From Initial Inversion to Full Accretion

This volume studies the driving dynamic for thick-skin tectonics. It evaluates the role of various factors that control the development of thick-skin architecture. The studied driving dynamics include individual plate movement rates, overall convergence rates, orogen movement sense with respect to mantle flow and pro-wedge versus retro-wedge location. Numerous internal factors that influence the architecture of thick-skinned dominated orogens have been considered. These include the role of the rheology of the deforming layers, the presence or absence of potential detachment horizons, basement buttresses, crustal thickness variations, inherited strength contrasts and the impact of pre-existing anisotropy in thick-skin orogenic deformation. External factors discussed include the role of both syn-tectonic erosion and deposition in deformation.
The study areas begin with worldwide examples and close with a detailed coverage of the Northern Andes natural laboratory, which is characterized by particularly robust data coverage.