2013
DOI: 10.1111/sed.12050
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A quantitative approach to fluvial facies models: Methods and example results

Abstract: Traditional facies models lack quantitative information concerning sedimentological features: this significantly limits their value as references for comparison and guides to interpretation and subsurface prediction. This paper aims to demonstrate how a relational-database methodology can be used to generate quantitative facies models for fluvial depositional systems. This approach is

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Cited by 94 publications
(92 citation statements)
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References 104 publications
(232 reference statements)
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“…These composite analogues are adoptable as quantitative facies models (cf. Baas et al 2005;Colombera et al 2013) that have been proven to be useful for the definition of conceptual models of reservoir heterogeneity, for conditioning stochastic geocellular reservoir models (cf. Colombera et al 2012b), and for guiding well-to-well correlations of sandbodies or mudstone units (Colombera et al 2014;2016).…”
Section: Discussion: Database Applicationsmentioning
confidence: 99%
“…These composite analogues are adoptable as quantitative facies models (cf. Baas et al 2005;Colombera et al 2013) that have been proven to be useful for the definition of conceptual models of reservoir heterogeneity, for conditioning stochastic geocellular reservoir models (cf. Colombera et al 2012b), and for guiding well-to-well correlations of sandbodies or mudstone units (Colombera et al 2014;2016).…”
Section: Discussion: Database Applicationsmentioning
confidence: 99%
“…In this study, model inputs to constrain channel-form and bar geometries have been acquired from field-based measurements of outcrops and modern systems, from remotely sensed satellite imagery, and from subsurface data (e.g., seismic, cores and well logs). Data that describe such real-world examples are held in the Fluvial Architecture Knowledge Transfer System (FAKTS) -a relational database that stores quantified sedimentological data from many modern classified fluvial systems and analogue ancient fluvial successions (see details in Colombera et al, 2012Colombera et al, , 2013Colombera et al, , 2017, which is populated with sedimentological data from the published literature and our own field studies.…”
Section: Modelling Algorithmsmentioning
confidence: 99%
“…mudstone) typical of deposition in fluvial overbank settings in response to nonconfined flood events (Medici et al 2015). Such overbank deposits tend to be preferentially preserved in basins subject to rapid rates of subsidence whereby channel emplacement by avulsion does not fully rework them (Colombera et al 2013).…”
Section: Introductionmentioning
confidence: 99%