A new application of L-systems to model channel system architecture and connectivity.

Guillaume Rongier and Pauline Collon and Philippe Renard. ( 2015 )
in: 35th Gocad Meeting - 2015 RING Meeting, ASGA

Abstract

Turbiditic channel evolution is a continuous process related to erosion-deposition events: channels are often gathered into complexes and display various stacking patterns. These particular architectures have a direct impact on the connectivity of sand-rich deposits. Being able to reproduce such patterns in stochastic simulations is thus of significant importance. We propose a geometrical and descriptive approach to control the channel stacking patterns stochastically. This approach relies on the simulation of an initial channel using a Lindenmayer system. This system is migrated using a sequential Gaussian simulation of a migration factor following either a forward or a backward migration process. Global avulsions are performed using a Lindenmayer system, such as the initial channel simulation. This methodology brings a control on the connectivity between the channels by adjusting the extension of the migrating areas and the migration patterns. If some aspects such as the smoothing of the migration factor or data conditioning require further work, this method furnishes encouraging results with both forward and backward migration processes. Using multiple-point simulation instead of SGS could give more realistic migration patterns and stacking.

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BibTeX Reference

@INPROCEEDINGS{RongierGM2015,
    author = { Rongier, Guillaume and Collon, Pauline and Renard, Philippe },
     title = { A new application of L-systems to model channel system architecture and connectivity. },
 booktitle = { 35th Gocad Meeting - 2015 RING Meeting },
      year = { 2015 },
 publisher = { ASGA },
  abstract = { Turbiditic channel evolution is a continuous process related to erosion-deposition events: channels are often gathered into complexes and display various stacking patterns. These particular architectures have a direct impact on the connectivity of sand-rich deposits. Being able to reproduce such patterns in stochastic simulations is thus of significant importance. We propose a geometrical and descriptive approach to control the channel stacking patterns stochastically. This approach relies on the simulation of an initial channel using a Lindenmayer system. This system is migrated using a sequential Gaussian simulation of a migration factor following either a forward or a backward migration process. Global avulsions are performed using a Lindenmayer system, such as the initial channel simulation. This methodology brings a control on the connectivity between the channels by adjusting the extension of the migrating areas and the migration patterns. If some aspects such as the smoothing of the migration factor or data conditioning require further work, this method furnishes encouraging results with both forward and backward migration processes. Using multiple-point simulation instead of SGS could give more realistic migration patterns and stacking. }
}