Simulation of 3D karst conduits with an object-distance based method integrating geological knowledge

Rongier, Guillaume; Collon, Pauline; Filipponi, Marco

doi:10.1016/j.geomorph.2014.04.024

Cited by 31 publications

(15 citation statements)

References 35 publications

(44 reference statements)

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“…However, they have difficulties reproducing continuous channelized bodies and are not designed to model channel migration. Here we propose a different approach to channel migration, combining object-and pixel-based approaches as done with other geological structures [e.g., Caumon et al, 2007, Zhang et al, 2009, Rongier et al, 2014.…”

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confidence: 99%

A geostatistical approach to the simulation of stacked channels

Rongier

Collon

Renard

2017

Marine and Petroleum Geology

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International audienceTurbiditic channels evolve continuously in relation to erosion-deposition events. They are often gathered into complexes and display various stacking patterns. These patterns have a direct impact on the connectivity of sand-rich deposits. Being able to reproduce them in stochastic simulations is thus of significant importance. We propose a geometrical and descriptive approach to stochastically control the channel stacking patterns. This approach relies on the simulation of an initial channel using a Lindenmayer system. This system migrates proportionally to a migration factor through either a forward or a backward migration process. The migration factor is simulated using a sequential Gaussian simulation or a multiple-point simulation. Avulsions are performed using a Lindenmayer system, similarly to the initial channel simulation. This method makes it possible to control the connectivity between the channels by adjusting the geometry of the migrating areas. It furnishes encouraging results with both forward and backward migration processes, even if some aspects such as data conditioning still need to be explored

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confidence: 99%

A geostatistical approach to the simulation of stacked channels

Rongier

Collon

Renard

2017

Marine and Petroleum Geology

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“…Most of the time, but not always, the maximum height and the maximal width of the passage are also measured at each station. Sometimes, it is a more detailed distance to the surrounding walls that is provided through left, right, up, and down measurements [e.g., Jaillet et al, 2011, Rongier et al, 2014.…”

Section: F Data Acquisitionmentioning

confidence: 99%

Statistical metrics for the characterization of karst network geometry and topology

et al. 2017

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International audienceStatistical metrics can be used to analyse the morphology of natural or simulated karst systems; they allow describing, comparing, and quantifying their geometry and topology. In this paper, we present and discuss a set of such metrics. We study their properties and their usefulness based on a set of more than 30 karstic networks mapped by speleologists. The data set includes some of the largest explored cave systems in the world and represents a broad range of geological and speleogenetic conditions allowing us to test the proposed metrics, their variability, and their usefulness for the discrimination of different morphologies. All the proposed metrics require that the topographical survey of the caves are first converted to graphs consisting of vertices and edges. This data preprocessing includes several quality check operations and some corrections to ensure that the karst is represented as accurately as possible. The statistical parameters relating to the geometry of the system are then directly computed on the graphs, while the topological parameters are computed on a reduced version of the network focusing only on its structure. Among the tested metrics, we include some that were previously proposed such as tortuosity or the Howard's coefficients. We also investigate the possibility to use new metrics derived from graph theory. In total, 21 metrics are introduced, discussed in detail, and compared on the basis of our data set. This work shows that orientation analysis and, in particular, the entropy of the orientation data can help to detect the existence of inception features. The statistics on branch length are useful to describe the extension of the conduits within the network. Rather surprisingly, the tortuosity does not vary very significantly. It could be heavily influenced by the survey methodology. The degree of interconnectivity of the network, related to the presence of maze patterns, can be measured using different metrics such as the Howard's parameters, global cyclic coefficient, or the average vertex degree. The average vertex degree of the reduced graph proved to be the most useful as it is simple to compute, it discriminates properly the interconnected systems (mazes) from the acyclic ones (tree-like structures), and it permits us to classify the acyclic systems as a function of the total number of branches. This topological information is completed by three parameters, allowing us to refine the description. The correlation of vertex degree is rather simple to obtain. It is systematically positive on all studied data sets indicating a predominance of assortative networks among karst systems. The average shortest path length is related to the transport efficiency. It is shown to be mainly correlated to the size of the network. Finally, central point dominance allows us to identify the presence of a centralized organization

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“…This leads to geological simulations that are not only fast, but also realizations that display a similar degree of geological richness as those obtained by time--consuming process--based models. Such ideas have also been used to develop 3D models of karst networks (Borghi et al, 2012;Rongier et al, 2014) by accounting for pre--existing geology, fracturing, and phases of karstification without solving the flow, transport, and calcite dissolution equations (see Figure 3). This type of approach results in conduit geometries that are highly realistic and that are expected to better describe connectivity and groundwater flow than those obtained based on purely statistical arguments.…”

Section: Object and Pseudo--genetic Modelsmentioning

confidence: 99%

“…Example of the simulation of the geometry of a karstic cave using a mixture of an object based technique and genetic concepts (Rongier et al, 2014).…”

Section: Figmentioning

confidence: 99%

Geological realism in hydrogeological and geophysical inverse modeling: A review

Linde

Renard

Mukerji

et al. 2015

Advances in Water Resources

180

146

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Scientific curiosity, exploration of georesources and environmental concerns are pushing the geoscientific research community towards subsurface investigations of ever--increasing complexity. This review explores various approaches to formulate and solve inverse problems in ways that effectively integrate geological concepts with geophysical and hydrogeological data. Modern geostatistical simulation algorithms can produce multiple subsurface realizations that are in agreement with conceptual geological models and statistical rock physics can be used to map these realizations into physical properties that are sensed by the geophysical or hydrogeological data. The inverse problem consists of finding one or an ensemble of such subsurface realizations that are in agreement with the data. The most general inversion frameworks are presently often computationally intractable when applied to large--scale problems and it is necessary to better understand the implications of simplifying (1) the conceptual geological model (e.g., using model compression);(2) the physical forward problem (e.g., using proxy models); and (3) the algorithm used to solve the inverse problem (e.g., Markov chain Monte Carlo or local optimization methods) to reach practical and robust solutions given today's computer resources and knowledge. We also highlight the need to not only use geophysical and hydrogeological data for parameter estimation purposes, but also to use them to falsify or corroborate alternative geological scenarios.3

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Simulation of 3D karst conduits with an object-distance based method integrating geological knowledge

Abstract: . Simulation of 3D karst conduits with an object-distance based method integrating geological knowledge. Geomorphology, Elsevier, 2014, 217, pp

Cited by 31 publications

References 35 publications

A geostatistical approach to the simulation of stacked channels

A geostatistical approach to the simulation of stacked channels

Statistical metrics for the characterization of karst network geometry and topology

Geological realism in hydrogeological and geophysical inverse modeling: A review

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