Improvements in reconstruction of channelized system stacking patterns

@inproceedings{Parquer2017e,
 abstract = { Reconstruction of channelized systems from the last channel stage observable on seismic images has been proposed by Parquer et al. (2017) through a reverse migration method of the main channel. The migration simulation is processed at half-meander scale, time step by time step. In this model, migration offset is correlated to the channel curvature and the maximal offset is drawn inside a user-given probability distribution. Such behavior has been observed, for example, in modern channelized systems such as the Mississippi river. Vertically,Vertically, a limited access to meander belt sections prevent the conception of an aggradation model conditionable to the channel geometry. Thus, the aggradation rate has been supposed constant along the channel path for a given time step. The values of aggradation offsets are drawn inside a user-given probability distribution. This work proposes a way to condition the aggradation of the channelized system to (i) a confinement degree and (ii) a distality index from the source of the channel. Such improvement widen the range of possible applications to more aggrading systems such as in turbidite context. The vertical migration rate can also be conditioned to aggradation ranges given in input for each time step of the reverse migration. The vertical stacking pattern is also influenced by the channel horizontal migration. Indeed, the meandering pattern of the channel impacts its section. The increasing sinuosity of meander loops through time is due to the erosion of the channel outer bank and the deposition on its inner bank. Thus, the channel section can be more or less asymmetrical according to the local curvature of the channel. In this work, the variability of the modeled channel section has been correlated to the channel path curvature. Both these improvements help the reconstruction of the channelized system geometries and the assessment of the reservoir heterogeneities. },
 author = { Parquer, Marion AND Corlay, Quentin AND Marchive, Paul },
 booktitle = { 2017 Ring Meeting },
 pages = { 2017 },
 publisher = { ASGA },
 title = { Improvements in reconstruction of channelized system stacking patterns },
 year = { 2017 }
}