Fluvial Facies Models: Recent Developments
Recent development of fluvial facies models has been due to improved description of natural river and floodplain processes and deposits using: (1) ground-penetrating radar (GPR) combined with cores and trenches to describe modern deposits in 3D; (2) study of frozen rivers to allow easy access to the entire channel belt and procurement of undisturbed cores; (3) optically stimulated luminescence (OSL) for improved dating of deposits; (4) high-resolution remote sensing over large areas and at short time intervals in order to determine temporal changes in channel and floodplain geometry due to erosion and deposition; (5) new measuring equipment such as acoustic Doppler current profilers (ADCP), high-resolution multibeam sonar, and GPS, for measuring surface topography, flow, and sedimentary processes. However, there is still a lack of studies of river geometry, flow, and sedimentary processes at the all-important high flow stages, especially on big rivers and floodplains.
Laboratory studies of bed geometry, flow, and sediment transport, erosion, and deposition have been undertaken for a range of scales, from small bedforms such as ripples, dunes, and antidunes, to bars and channels, to whole channel belt–floodplain systems. Controls on river and floodplain mechanics such as sediment supply, base level, and tectonism have also been evaluated. However, there are scaling problems with laboratory experiments that become more acute as the scale of the system increases.
The new field and laboratory data have allowed development of new qualitative and quantitative fluvial depositional models. Such models account for the fact that: (1) there are different superimposed scales of fluvial forms and associated stratasets in rivers and floodplains; (2) the geometry and mode of migration of any scale of fluvial form (e.g., dune, bar, channel, channel-belt) is closely related to the geometry and internal character of the associated strataset, which allows development of generalized depositional models for the different scales; (3) changes in flow stage over various time scales affect the nature of deposits. These new models use consistent descriptive terminology and dispel many of the extant misconceptions about fluvial deposits.
Quantitative, process-based models of fluvial deposits exist, but are not well developed, especially for the longer-term and larger-scale processes and deposits. Process-based models of the effects of tectonism, climate, and base-level change on fluvial deposits are in their infancy. Furthermore, most models are difficult to test. These problems with quantitative models are due to lack of appropriate quantitative data, and difficulties in mathematical modeling of complex natural systems. As a result of this, stochastic models are commonly used to represent fluvial stratigraphy, given initial data from wells, cores, and geophysical surveys. Development of quantitative models is essential if we are to understand and predict the nature and spatial distribution of ancient fluvial deposits, and to characterize aquifers and hydrocarbon reservoirs for subsurface fluid flow simulations. Such development will require more studies of rivers and floodplains during floods, and more mathematical sophistication.
Figures & Tables
Conference of the Canadian Society of Petroleum Geologists) and in Dallas in 2004 (Annual Conference of the American Association of Petroleum Geologists). These sessions, entitled Facies Models Revisited, were intended to capture the state of the art with respect to facies modeling in several key depositional environments. This volume is focused on clastic depositional settings including continental (aeolian and fluvial), estuarine, shoreface, deltaic, shelf, and deep water. The approach that they encouraged with the authors to follow was a first-principles rather than a model-driven approach. Their philosophy was to provide the reader with the tools and rules to create their own models rather than providing them with “canned” models or “templates”. Following this approach, they believe that geoscientists will develop better and more predictive facies of depositional models. The editors believe this volume will find a niche with both academic as well as industry and government geoscientists.