Results 1 to 10 of about 943,739 (264)
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
doaj +4 more sources
MPSLIB: A C++ class for sequential simulation of multiple-point statistical models
SoftwareX, 2016 Geostatistical simulation methods allow simulation of spatial structures and patterns based on a choice of statistical model. In the last few decades multiple-point statistics (MPS) has been developed that allows inferring the statistical model from a ...
Thomas Mejer Hansen +2 more
doaj +3 more sources
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
doaj +1 more source
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
doaj +1 more source
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
doaj +1 more source
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
doaj +1 more source
Land, 2023 The high-density urban form and building arrangement of modern cities have contributed to numerous environmental problems. The calm wind area caused by inappropriate building arrangements results in pollutant accumulation.
Chen Zuo +4 more
doaj +1 more source
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
doaj +1 more source
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
doaj +1 more source
Multiple-point statistics and non-colocational soft data integration
Computers & Geosciences, 2023 In geostatistics, available conditional information is typically categorized as either hard (with no uncertainty) or soft (associated with an uncertainty) data. 2-point based Gaussian (kriging) simulation methods have since their inception been able to account for hard and soft data.
Óli D. Jóhannsson, Thomas Mejer Hansen
openaire +2 more sources