Results 1 to 10 of about 1,087,603 (247)
Conditioning Multiple‐Point Statistics Simulation to Inequality Data
Earth and Space Science, 2021 Stochastic modeling is often employed in environmental sciences for the analysis and understanding of complex systems. For example, random fields are key components in uncertainty analysis or Bayesian inverse modeling.
Julien Straubhaar, Philippe Renard
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Efficiency of template matching methods for Multiple-Point Statistics simulations
Applied Computing and Geosciences, 2021 Almost all Multiple-Point Statistic (MPS) methods use internally a template matching method to select patterns that best match conditioning data. The purpose of this paper is to analyze the performances of ten of the most frequently used template ...
Mansoureh Sharifzadeh Lari +2 more
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3D multiple-point statistics simulations of the Roussillon Continental Pliocene aquifer using DeeSse [PDF]
Hydrology and Earth System Sciences, 2020 This study introduces a novel workflow to model the heterogeneity of complex aquifers using the multiple-point statistics algorithm DeeSse. We illustrate the approach by modeling the Continental Pliocene layer of the Roussillon aquifer in the region of ...
V. Dall'Alba +5 more
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Hydrostratigraphic modeling using multiple-point statistics and airborne transient electromagnetic methods [PDF]
Hydrology and Earth System Sciences, 2018 Creating increasingly realistic groundwater models involves the inclusion of additional geological and geophysical data in the hydrostratigraphic modeling procedure.
A. A. S. Barfod +7 more
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Contributions to uncertainty related to hydrostratigraphic modeling using multiple-point statistics [PDF]
Hydrology and Earth System Sciences, 2018 Forecasting the flow of groundwater requires a hydrostratigraphic model, which describes the architecture of the subsurface. State-of-the-art multiple-point statistical (MPS) tools are readily available for creating models depicting subsurface geology.
A. A. S. Barfod +7 more
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Extended GOSIM: MPS‐Driven Simulation of 3D Geological Structure Using 2D Cross‐Sections
Earth and Space Science, 2022 In the past two decades, algorithms for multiple‐point statistics (MPS) have been applied in many fields. However, 3D training datum or data (TD) is difficult to be obtained.
Weisheng Hou +4 more
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A new methodology to train fracture network simulation using multiple-point statistics [PDF]
Solid Earth, 2019 Natural fracture network characteristics can be establishes from high-resolution outcrop images acquired from drone and photogrammetry. Such images might also be good analogues of subsurface naturally fractured reservoirs and can be used to make ...
P.-O. Bruna +7 more
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Applied Computing and Geosciences, 2022 Multiple-point statistics algorithms allow modeling spatial variability from training images. Among these techniques, the Direct Sampling (DS) algorithm has advanced capabilities, such as multivariate simulations, treatment of non-stationarity, multi ...
Przemysław Juda +2 more
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Locality-based 3-D multiple-point statistics reconstruction using 2-D geological cross sections [PDF]
Hydrology and Earth System Sciences, 2018 Multiple-point statistics (MPS) has shown promise in representing complicated subsurface structures. For a practical three-dimensional (3-D) application, however, one of the critical issues is the difficulty in obtaining a credible 3-D training image.
Q. Chen +7 more
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Remote Sensing, 2023 Geological models are essential components in various applications. To generate reliable realizations, the geostatistical method focuses on reproducing spatial structures from training images (TIs).
Chen Zuo +4 more
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