排序方式： 共有11条查询结果，搜索用时 31 毫秒
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Dagasan Yasin Renard Philippe Straubhaar Julien Erten Oktay Topal Erkan 《Natural Resources Research》2019,28(1):153-171
Natural Resources Research - Geological contacts in lateritic metal deposits (footwall topographies) often delineate the orebody boundaries. Spatial variations seen in such contacts are frequently... 相似文献
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Fabio?OrianiEmail authorView author&#;s OrcID profile Raj?Mehrotra Grégoire?Mariethoz Julien?Straubhaar Ashish?Sharma Philippe?Renard 《Stochastic Environmental Research and Risk Assessment (SERRA)》2018,32(2):321-340
Daily rainfall is a complex signal exhibiting alternation of dry and wet states, seasonal fluctuations and an irregular behavior at multiple scales that cannot be preserved by stationary stochastic simulation models. In this paper, we try to investigate some of the strategies devoted to preserve these features by comparing two recent algorithms for stochastic rainfall simulation: the first one is the modified Markov model, belonging to the family of Markov-chain based techniques, which introduces non-stationarity in the chain parameters to preserve the long-term behavior of rainfall. The second technique is direct sampling, based on multiple-point statistics, which aims at simulating a complex statistical structure by reproducing the same data patterns found in a training data set. The two techniques are compared by first simulating a synthetic daily rainfall time-series showing a highly irregular alternation of two regimes and then a real rainfall data set. This comparison allows analyzing the efficiency of different elements characterizing the two techniques, such as the application of a variable time dependence, the adaptive kernel smoothing or the use of low-frequency rainfall covariates. The results suggest, under different data availability scenarios, which of these elements are more appropriate to represent the rainfall amount probability distribution at different scales, the annual seasonality, the dry-wet temporal pattern, and the persistence of the rainfall events. 相似文献
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Straubhaar Julien Renard Philippe Chugunova Tatiana 《Stochastic Environmental Research and Risk Assessment (SERRA)》2020,34(2):251-273
Stochastic Environmental Research and Risk Assessment - Multiple-point statistics (MPS) is a simulation technique allowing to generate images that reproduce the spatial features present in a... 相似文献
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Tobias Lochbühler Guillaume Pirot Julien Straubhaar Niklas Linde 《Mathematical Geosciences》2014,46(5):625-645
Geophysical tomography captures the spatial distribution of the underlying geophysical property at a relatively high resolution, but the tomographic images tend to be blurred representations of reality and generally fail to reproduce sharp interfaces. Such models may cause significant bias when taken as a basis for predictive flow and transport modeling and are unsuitable for uncertainty assessment. We present a methodology in which tomograms are used to condition multiple-point statistics (MPS) simulations. A large set of geologically reasonable facies realizations and their corresponding synthetically calculated cross-hole radar tomograms are used as a training image. The training image is scanned with a direct sampling algorithm for patterns in the conditioning tomogram, while accounting for the spatially varying resolution of the tomograms. In a post-processing step, only those conditional simulations that predicted the radar traveltimes within the expected data error levels are accepted. The methodology is demonstrated on a two-facies example featuring channels and an aquifer analog of alluvial sedimentary structures with five facies. For both cases, MPS simulations exhibit the sharp interfaces and the geological patterns found in the training image. Compared to unconditioned MPS simulations, the uncertainty in transport predictions is markedly decreased for simulations conditioned to tomograms. As an improvement to other approaches relying on classical smoothness-constrained geophysical tomography, the proposed method allows for: (1) reproduction of sharp interfaces, (2) incorporation of realistic geological constraints and (3) generation of multiple realizations that enables uncertainty assessment. 相似文献
5.
Straubhaar Julien Renard Philippe Mariethoz Grégoire Chugunova Tatiana Biver Pierre 《Mathematical Geosciences》2019,51(1):109-125
Mathematical Geosciences - Multiple point statistics (MPS) algorithms allow generation of random fields reproducing the spatial features of a training image (TI). Although many MPS techniques offer... 相似文献
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An Improved Parallel Multiple-point Algorithm Using a List Approach 总被引：15，自引：8，他引：7
Julien Straubhaar Philippe Renard Gr��goire Mariethoz Roland Froidevaux Olivier Besson 《Mathematical Geosciences》2011,43(3):305-328
Among the techniques used to simulate categorical variables, multiple-point statistics is becoming very popular because it allows the user to provide an explicit conceptual model via a training image. In classic implementations, the multiple-point statistics are inferred from the training image by storing all the observed patterns of a certain size in a tree structure. This type of algorithm has the advantage of being fast to apply, but it presents some critical limitations. In particular, a tree is extremely RAM demanding. For three-dimensional problems with numerous facies, large templates cannot be used. Complex structures are then difficult to simulate. In this paper, we propose to replace the tree by a list. This structure requires much less RAM. It has three main advantages. First, it allows for the use of larger templates. Second, the list structure being parsimonious, it can be extended to include additional information. Here, we show how this can be used to develop a new approach for dealing with non-stationary training images. Finally, an interesting aspect of the list is that it allows one to parallelize the part of the algorithm in which the conditional probability density function is computed. This is especially important for large problems that can be solved on clusters of PCs with distributed memory or on multicore machines with shared memory. 相似文献
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Multiple-point statistics (MPS) allows simulations reproducing structures of a conceptual model given by a training image (TI) to be generated within a stochastic framework. In classical implementations, fixed search templates are used to retrieve the patterns from the TI. A multiple grid approach allows the large-scale structures present in the TI to be captured, while keeping the search template small. The technique consists in decomposing the simulation grid into several grid levels: One grid level is composed of each second node of the grid level one rank finer. Then each grid level is successively simulated by using the corresponding rescaled search template from the coarse level to the fine level (the simulation grid itself). For a conditional simulation, a basic method (as in snesim) to honor the hard data consists in assigning the data to the closest nodes of the current grid level before simulating it. In this paper, another method (implemented in impala) that consists in assigning the hard data to the closest nodes of the simulation grid (fine level), and then in spreading them up to the coarse grid by using simulations based on the MPS inferred from the TI is presented in detail. We study the effect of conditioning and show that the first method leads to systematic biases depending on the location of the conditioning data relative to the grid levels, whereas the second method allows for properly dealing with conditional simulations and a multiple grid approach. 相似文献
9.
Conditioning Facies Simulations with Connectivity Data 总被引：3，自引：3，他引：0
Philippe Renard Julien Straubhaar Jef Caers Grégoire Mariethoz 《Mathematical Geosciences》2011,43(8):879-903
When characterizing and simulating underground reservoirs for flow simulations, one of the key characteristics that needs
to be reproduced accurately is its connectivity. More precisely, field observations frequently allow the identification of
specific points in space that are connected. For example, in hydrogeology, tracer tests are frequently conducted that show
which springs are connected to which sink-hole. Similarly well tests often allow connectivity information in a petroleum reservoir
to be provided. 相似文献
10.
The resolution of measurement devices can be insufficient for certain purposes. We propose to stochastically simulate spatial
features at scales smaller than the measurement resolution. This is accomplished using multiple-point geostatistical simulation
(direct sampling in the present case) to interpolate values at the target scale. These structures are inferred using hypothesis
of scale invariance and stationarity on the spatial patterns found at the coarse scale. The proposed multiple-point super-resolution
mapping method is able to deal with “both continuous and categorical variables,” and can be extended to multivariate problems.
The advantages and limitations of the approach are illustrated with examples from satellite imaging. 相似文献