Results 11 to 20 of about 943,709 (264)

A Pattern Classification Distribution Method for Geostatistical Modeling Evaluation and Uncertainty Quantification

open access: yesRemote 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

History Matching Through a Smooth Formulation of Multiple-Point Statistics [PDF]

open access: yesMathematical Geosciences, 2014
ISSN:1874 ...
Melnikova, Y   +4 more
openaire   +5 more sources

Multiple-point statistics and non-colocational soft data integration

open access: yesComputers & 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

Machine Learning-Based Urban Renovation Design for Improving Wind Environment: A Case Study in Xi’an, China

open access: yesLand, 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

Combining Clustering Methods With MPS to Estimate Structural Uncertainty for Hydrological Models

open access: yesFrontiers in Earth Science, 2019
This study presents a novel expansion of the clay-fraction (CF)/resistivity clustering method aiming at developing realizations of subsurface structures based on multiple point statistics (MPS).
Troels Norvin Vilhelmsen   +5 more
doaj   +1 more source

Extended GOSIM: MPS‐Driven Simulation of 3D Geological Structure Using 2D Cross‐Sections

open access: yesEarth 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
doaj   +1 more source

Conditioning of Multiple-Point Statistics Facies Simulations to Tomographic Images [PDF]

open access: yesMathematical Geosciences, 2013
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Lochbühler Tobias   +3 more
openaire   +4 more sources

A location-based multiple point statistics method: modelling the reservoir with non-stationary characteristics

open access: yesOpen Geosciences, 2017
In this paper, a location-based multiple point statistics method is developed to model a non-stationary reservoir. The proposed method characterizes the relationship between the sedimentary pattern and the deposit location using the relative central ...
Yin Yanshu, Feng Wenjie
doaj   +1 more source

Super-Resolution Reconstruction of Remote Sensing Images Using Multiple-Point Statistics and Isometric Mapping

open access: yesRemote Sensing, 2017
When using coarse-resolution remote sensing images, super-resolution reconstruction is widely desired, and can be realized by reproducing the intrinsic features from a set of coarse-resolution fraction data to fine-resolution remote sensing images that ...
Ting Zhang, Yi Du, Fangfang Lu
doaj   +1 more source

An ANOVA-type test for multiple change points in the mean of long memory time sequence

open access: yesXi'an Gongcheng Daxue xuebao, 2021
In order to study the multiple change points test of the mean of linear long memory, the ANOVA statistics was constructed and the limit distribution was proved under the hypothesis condition.
Dou LIU, Wenzhi ZHAO
doaj   +1 more source

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