Imperial College London
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Professor Gary Hampson

Faculty of Engineering, Department of Earth Science & Engineering

Professor of Sedimentary Geology
 
 
 
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Contact

 

+44 (0)20 7594 6475g.j.hampson Website

 
 
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Location

 

1.42Royal School of MinesSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@article{Le:2018:10.1007/s11004-018-9737-y,
author = {Le, Blévec T and Dubrule, O and John, CM and Hampson, GJ},
doi = {10.1007/s11004-018-9737-y},
journal = {Mathematical Geosciences},
pages = {609--637},
title = {Geostatistical modelling of cyclic and rhythmic facies architectures},
url = {http://dx.doi.org/10.1007/s11004-018-9737-y},
volume = {50},
year = {2018}
}
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RIS format (EndNote, RefMan)

TY  - JOUR
AB  - A Pluri-Gaussian method is developed for facies variables in three dimensions to model vertical cyclicity related to facies ordering and rhythmicity. Cyclicity is generally characterised by shallowing-upward or deepening-upward sequences and rhythmicity by the repetition of facies at constant intervals along sequences. Both of these aspects are commonly observed in shallow-marine carbonate successions, especially in the vertical direction. A grid-free spectral simulation approach is developed, with a separable covariance allowing a dampened hole-effect to capture rhythmicity in the vertical direction and a different covariance in the lateral plane along strata, as in space-time models. In addition, facies ordering is created by using a spatial shift between two latent Gaussian functions in the Pluri-Gaussian approach. Rapid conditioning to data is performed via Gibbs sampling and kriging using the screening properties of separable covariances. The resulting facies transiograms can show complex patterns of cyclicity and rhythmicity. Finally, a three dimensional case study of shallow-marine carbonate deposits at outcrop shows the applicability of the modelling method.
AU  - Le,Blévec T
AU  - Dubrule,O
AU  - John,CM
AU  - Hampson,GJ
DO  - 10.1007/s11004-018-9737-y
EP  - 637
PY  - 2018///
SN  - 1874-8961
SP  - 609
TI  - Geostatistical modelling of cyclic and rhythmic facies architectures
T2  - Mathematical Geosciences
UR  - http://dx.doi.org/10.1007/s11004-018-9737-y
UR  - https://link.springer.com/article/10.1007%2Fs11004-018-9737-y
UR  - http://hdl.handle.net/10044/1/60788
VL  - 50
ER  -
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