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Functional multiple-point simulation

Computers and Geosciences
We present a new paradigm, called functional multiple-point simulation, in which multiple-point geostatistical simulation can be performed when functions or curves are observed at each location of a random field.
Oluwasegun Taiwo Ojo, Marc G Genton
exaly   +2 more sources

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Scaling multiple-point statistics to different univariate proportions

Computers & Geosciences, 2007
Multiple-point statistics are used in geostatistical simulation to improve forecasting of responses that are highly dependent on the reproduction of complex features of the phenomenon. Often, complex features cannot be captured by conventional two-point simulation methods, based on the variogram.
Julián M. Ortiz, Steven Lyster, Clayton V. Deutsch   +2 more
openaire   +1 more source

Multiple Change-Point Detection: A Selective Overview

Statistical Science, 2016
Very long and noisy sequence data arise from biological sciences to social science including high throughput data in genomics and stock prices in econometrics.
Ning Hao, Heping Zhang
exaly   +2 more sources

Indicator Simulation Accounting for Multiple-Point Statistics

Mathematical Geology, 2004
Geostatistical simulation aims at reproducing the variability of the real underlying phenomena. When nonlinear features or large-range connectivity is present, the traditional variogram-based simulation approaches do not provide good reproduction of those features.
Julián M. Ortiz, Clayton V. Deutsch
openaire   +1 more source

Reservoir Modeling Using Multiple-Point Statistics

SPE Annual Technical Conference and Exhibition, 2001
Abstract Two approaches are traditionally used to build numerical models for facies distributions within a reservoir. Pixel-based techniques aim at generating simulated realizations that honor the well data values, and reproduce a given variogram which models two-point spatial correlation.
Sebastien B. Strebelle, Andre G. Journel
openaire   +1 more source

Multiple-Point Statistics for Training Image Selection

Natural Resources Research, 2007
Selecting a training image (TI) that is representative of the target spatial phenomenon (reservoir, mineral deposit, soil type, etc.) is essential for an effective application of multiple-point statistics (MPS) simulation. It is often possible to narrow potential TIs to a general subset based on the available geological knowledge; however, this is ...
Jeff B. Boisvert, Michael J. Pyrcz, Clayton V. Deutsch   +2 more
openaire   +1 more source

Using the Snesim program for multiple-point statistical simulation

Computers & Geosciences, 2006
Traditionally, there are two mainstream avenues for geostatistical modeling: pixel-based two-point simulation and object-based simulation. Each is good at either data conditioning or reproducing geological shapes, but none is good at both. Multiple-point simulation combines the strengths of these two avenues.
openaire   +1 more source

Multiple-point statistics using multi-resolution images

Stochastic Environmental Research and Risk Assessment, 2020
Multiple-point statistics (MPS) is a simulation technique allowing to generate images that reproduce the spatial features present in a training image (TI). MPS algorithms consist in sequentially filling a simulation grid such that patterns around the simulated values come from the TI.
Julien Straubhaar, Philippe Renard, Tatiana Chugunova   +2 more
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Multiple change-point estimation with U-statistics

Journal of Statistical Planning and Inference, 2010
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Hybrid geological modeling: Combining machine learning and multiple-point statistics

Computers & Geosciences, 2020
Abstract Accurately modeling and constructing a geologically realistic subsurface model remains an outstanding problem as the morphology controls the flow behaviors. Particularly, one of the pattern-based methods, namely cross-correlation based simulation, has been proved to be an effective way to reconstruct a realistic model, at both small and ...
Tao Bai, Pejman Tahmasebi
openaire   +1 more source