Imperial College London
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Dr Cédric M. John

Faculty of Engineering, Department of Earth Science & Engineering

Visiting Reader
 
 
 
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Contact

 

cedric.john Website

 
 
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Location

 

N/ARoyal School of MinesSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@article{Le:2020:10.1306/05091918122,
author = {Le, Blevec T and Dubrule, O and John, C and Hampson, G},
doi = {10.1306/05091918122},
journal = {AAPG Bulletin},
pages = {711--734},
title = {Geostatistical Earth modeling of cyclic depositional facies and diagenesis},
url = {http://dx.doi.org/10.1306/05091918122},
volume = {104},
year = {2020}
}
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RIS format (EndNote, RefMan)

TY  - JOUR
AB  - In siliciclastic and carbonate reservoirs, depositional facies are often described as being organized in cyclic successions that are overprinted by diagenesis. Most reservoir modeling workflows are not able to reproduce stochastically such patterns. Herein, a novel geostatistical method is developed to model depositional facies architectures that are rhythmic and cyclic, together with superimposed diagenetic facies. The method uses truncated Pluri-Gaussian random functions constrained by transiograms. Cyclicity is defined as an asymmetric ordering between facies, and its direction is given by a three-dimensional vector, called shift. This method is illustrated on two case studies. Outcrop data of the Triassic Latemar carbonate platform, northern Italy, are used to model shallowing-upward facies cycles in the vertical direction. A satellite image of the modern Bermuda platform interior is used to model facies cycles in the windward-to-leeward lateral direction. As depositional facies architectures are modeled using two Gaussian random functions, a third Gaussian random function is added to model diagenesis. Thereby, depositional and diagenetic facies can exhibit spatial asymmetric relationships. The method is applied in the Latemar carbonate platform that experiences syn-depositional dolomite formation. The method can also incorporate proportion curves to model non-stationary facies proportions. This is illustrated in Cretaceous shallow-marine sandstones and mudstones, Book Cliffs, Utah, for which cyclic facies and diagenetic patterns are constrained by embedded transition probabilities.
AU  - Le,Blevec T
AU  - Dubrule,O
AU  - John,C
AU  - Hampson,G
DO  - 10.1306/05091918122
EP  - 734
PY  - 2020///
SN  - 0149-1423
SP  - 711
TI  - Geostatistical Earth modeling of cyclic depositional facies and diagenesis
T2  - AAPG Bulletin
UR  - http://dx.doi.org/10.1306/05091918122
UR  - http://hdl.handle.net/10044/1/68001
VL  - 104
ER  -
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