| Title | Combined inverse and forward numerical modelling for reconstruction of channel evolution and facies distributions in fluvial meander-belt deposits |
| |
| Author | Parquer, M; Yan, N; Colombera, L; Mountney, N P; Collon, P ; Caumon, G |
| Source | Marine and Petroleum Geology vol. 117, 104409, 2020 p. 1-15, https://doi.org/10.1016/j.marpetgeo.2020.104409  Open Access |
| Image |  |
| Year | 2020 |
| Alt Series | Natural Resources Canada, Contribution Series 20200058 |
| Publisher | Elsevier |
| Document | serial |
| Lang. | English |
| Media | paper; on-line; digital |
| File format | pdf; html |
| Subjects | sedimentology; stratigraphy; geophysics; Nature and Environment; Science and Technology; fluvial systems; fluvial deposits; channel deposits; meanders; computer simulations; facies models; modelling;
seismic interpretations; seismic data; Methodology |
| Illustrations | tables; geophysical images; geoscientific sketch maps; plots; seismic images; models; flow diagrams |
| Released | 2020 04 27 |
| Abstract | The sedimentary record of meandering rivers contains a diverse and complex set of lithological heterogeneities, which impact natural resource management. Different methods exist to model such
accumulated successions present in the subsurface by integrating knowledge of system evolutionary behaviour and geometries visible on seismic time or stratal slices. With reference to case-study examples, we review, discuss and employ two of these
methods: (i) ChaRMigS generates possible scenarios for channel evolution and meander cut-offs by a reverse migration process; (ii) PB-SAND is a forward stratigraphic model which simulates fluvial point-bar geometry and facies distributions from known
palaeo-channel geometries. We introduce a workflow to demonstrate how these two methods can be applied in combination to predict fluvial meander-belt facies distributions, using a subsurface dataset on a Pleistocene succession from the Gulf of
Thailand where abandoned channels are visible on seismic time slices, but for which bar-accretion geometries and the exact timing of channel abandonment are unclear. Results show the value of a combined modelling approach to automate the stochastic
generation of facies distributions constrained by seismic interpretations. |
| GEOSCAN ID | 326105 |
|
|