ALLUVSIM: A program for event-based stochastic modeling of fluvial depositional systems

Pyrcz, Michael J.; Boisvert, Jeff B.; Deutsch, Clayton V.

doi:10.1016/j.cageo.2008.09.012

Cited by 106 publications

(68 citation statements)

References 14 publications

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“…Geologic shape parametrization based on flexible geometric representations have been proposed in [29] and are recently applied to fluvial environments using event-based modeling that mimic the depositional process [30]. See also [31] for a review on object-and process-based modeling methods.…”

Section: Parametrization Methods: a Brief Overviewmentioning

confidence: 99%

Effective Parametrization for Reliable Reservoir Performance Predictions

Kalla

2012

Int. J. UncertaintyQuantification

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Section: Parametrization Methods: a Brief Overviewmentioning

confidence: 99%

Effective Parametrization for Reliable Reservoir Performance Predictions

Kalla

2012

Int. J. UncertaintyQuantification

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“…Such approaches are in their infancy, but use outputs from process-based forward stratigraphic models and process-mimicking forward geostatistical models that are conditioned to well and/or seismic data (e.g. Karssenberg et al 2001;Cojan et al 2004;Pyrcz et al 2009). …”

Section: How Well Do the Models Capture The Outcrop Data?mentioning

confidence: 99%

“…We consider that an alternative approach based on process-based forward stratigraphic models and process-mimicking forward geostatistical models (e.g. Karssenberg et al 2001;Cojan et al 2004;Pyrcz et al 2009) is more promising because such models can be formulated to explicitly include avulsion processes or their effects. The challenges in applying these forward models include validating their outputs against data-rich modern and ancient reservoir-analogues, and conditioning the models to subsurface well and/or seismic data.…”

Section: Implications For Reservoir Characterization and Modellingmentioning

confidence: 99%

Object-based modelling of avulsion-generated sandbody distributions and connectivity in a fluvial reservoir analogue of low to moderate net-to-gross ratio

Villamizar

Hampson

Flood

et al. 2015

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Data from a large-scale outcrop analogue (Upper Cretaceous Blackhawk Formation, Wasatch Plateau, central Utah, USA) were used to construct three-dimensional, object-based reservoir models of low to moderate net-to-gross (NTG) ratios (11-32%). Two descriptive spatial statistical measures, lacunarity and Ripley's K function, were used to characterize sandbody distribution patterns in the different models. Lacunarity is sensitive to sandbody abundance and NTG ratio, while Ripley's K function identifies clustered, random and regular spacing of sandbodies. The object-based modelling algorithm reproduces sandbody dimensions and abundances, but patterns of sandbody distribution generated by river avulsion are poorly replicated because pseudo-well spacing provides only limited constraint on sandbody positions.In common with previous studies, the connected sand fraction in the reservoir models increases with increasing NTG ratio and increasing range of sandbody orientations, but there is significant stochastic variation around both of these trends. In addition, low NTG reservoir models in which sandbodies exhibit strong clustering may also have a low connected sand fraction across the model volume because the sandbody clusters are widely spaced and, thus, tend to be isolated from each other. Consequently, connected sand fraction could be overestimated if avulsion-generated sandbody clusters are not identified and replicated in models of such reservoirs. Research article petgeo2015-004r esearch-articleResearch article10.1144/petgeo2015-004Object-based modelling of avulsion-generated sandbody distributions and connectivity in a fluvial reservoir analogue of low to moderate net-to-gross ratioCarlos

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“…Another limit is that these methods give a deterministic solution which does not cover the reservoir architecture uncertainties. To overcome this limit, Lopez (2003) and Pyrcz et al (2009) introduced stochasticity in their models. Finally, due to the focus on the reproduction of geological processes, data conditioning is difficult, except for well data which can be managed thanks to attraction or repulsion fields.…”

Section: Introductionmentioning

confidence: 99%

Reconstruction of Channelized Systems Through a Conditioned Reverse Migration Method

Parquer¹,

Collon²,

Caumon³

2017

Math Geosci

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Geological heterogeneities directly control underground flow. In channelized sedimentary environments, their determination is often underconstrained: it may be possible to observe the most recent channel path and the abandoned meanders on seismic or satellite images, but smaller-scale structures are generally below image resolution. In this paper, reconstruction of channelized systems is proposed with a stochastic inverse simulation reproducing the reverse migration of the system. Maps of the recent trajectories of the Mississippi river were studied to define appropriate relationships between simulation parameters. Measurements of curvature and migration vectors showed (i) no significant correlation between curvature and migration offset and (ii) correlation trends of downstream and lateral migration offsets versus the curvature at half-meander scale. The proposed reverse migration method uses these trends to build possible paleo-trajectories of the river starting from the last stage of the sequence observed on present-day (satellite or seismic) data. As abandoned meanders provide clues about the paleo-locations of the river, they are integrated step by step during the reverse simulation process. We applied the method on satellite images of a fluvial system. Each of the different resulting geometries of the system honors most of the available observations and presents meandering patterns that are similar to the observed ones.

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ALLUVSIM: A program for event-based stochastic modeling of fluvial depositional systems

Cited by 106 publications

References 14 publications

Effective Parametrization for Reliable Reservoir Performance Predictions

Effective Parametrization for Reliable Reservoir Performance Predictions

Object-based modelling of avulsion-generated sandbody distributions and connectivity in a fluvial reservoir analogue of low to moderate net-to-gross ratio

Reconstruction of Channelized Systems Through a Conditioned Reverse Migration Method

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