Results 11 to 20 of about 944,161 (303)
Quantitative Analysis for the Reconstruction of Porous Media Using Multiple-Point Statistics
The pore structure reconstruction of the porous media is of great importance to the research of mechanisms of fluid flow in porous media. To capture the large-scale patterns in the pore space, the multiple-point statistical technique is generally adopted
Qing Xie +3 more
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Conditioning of Multiple-Point Statistics Facies Simulations to Tomographic Images [PDF]
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Lochbühler Tobias +3 more
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Multiple-point statistics and non-colocational soft data integration
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
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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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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
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Combining Clustering Methods With MPS to Estimate Structural Uncertainty for Hydrological Models
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
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Extended GOSIM: MPS‐Driven Simulation of 3D Geological Structure Using 2D Cross‐Sections
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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Quantifying the uncertainty in change points [PDF]
Quantifying the uncertainty in the location and nature of change points in time series is important in a variety of applications. Many existing methods for estimation of the number and location of change points fail to capture fully or explicitly the ...
Aston, John A. D. +5 more
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Implied distributions in multiple change point problems [PDF]
A method for efficiently calculating exact marginal, conditional and joint distributions for change points defined by general finite state Hidden Markov Models is proposed.
Aston, John A. D. +5 more
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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
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