2006
DOI: 10.1016/j.marpetgeo.2006.05.004
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Hierarchical geocellular facies modelling of a turbidite reservoir analogue from the Eocene of the Ainsa basin, NE Spain

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Cited by 42 publications
(23 citation statements)
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“…Studies that undertake palinspastic restoration of turbidite systems, which revises the geometry and dimensions of systems to the configuration during deposition, are rare and tend to be in small depocenters (e.g. Fernandez et al, 2004;Falivene et al, 2006;Paton et al, 2007;Aas et al 2010;Durand-Riard et al, 2011).…”
Section: Introductionmentioning
confidence: 99%
“…Studies that undertake palinspastic restoration of turbidite systems, which revises the geometry and dimensions of systems to the configuration during deposition, are rare and tend to be in small depocenters (e.g. Fernandez et al, 2004;Falivene et al, 2006;Paton et al, 2007;Aas et al 2010;Durand-Riard et al, 2011).…”
Section: Introductionmentioning
confidence: 99%
“…As the most accessible and photogenic exposures occur along the main road north from Ainsa (A138) show mainly MTCs between the Ainsa I and II fans, previous researchers have concluded that the stratigraphy comprises only channelised sandstones sandwiched between type Ia MTCs, leading to the interpretation that the Ainsa System is a slope-channel system (e.g., Fernandez, et al, 2004;Falivene, et al, 2006aFalivene, et al, , 2006bFalivene, et al, 2007;Bakke, et al, 2008). Mapping of the Ainsa System, however, shows that these much-visited sections represent base-of-slope parts of the Ainsa System where SGFs from an easterly source (present co-ordinates) entered the basin and turned into a more northerly direction on the proximal basin floor, at least for the Ainsa II and III fans, where basin-slope instability along the eastern basin margin has led to the deposition of base-of-slope deposits with fan lateral-margin deposits (Pickering and Corregidor, 2005).…”
Section: Seafloor Topography and Growth Structuresmentioning
confidence: 99%
“…In order to simulate facies heterogeneity and analyze uncertainty in reservoir models, stochastic methods are applied to predict rock properties at unsampled locations (Dubrule and Damsleth 2001). However, to simulate the facies heterogeneity in a geologic realistic manner, stochastic facies modelling algorithms need to be driven by accurate information on the depositional system (Falivene et al 2006). Quantitative data, such as geometry and distribution of sedimentary bodies (Figures 8 and 10), derived from DOMs provide conditioning data for the algorithms to populate realistic subsurface geocellular reservoir models.…”
Section: Applicationsmentioning
confidence: 99%