نتایج جستجو برای: SGEMS

تعداد نتایج: 20  

2007
Nicolas Remy Alexandre Boucher Jianbing Wu

This document presents an extract of an upcoming book written by Nicolas Remy, Alexandre Boucher and Jianbing Wu. The book has 10 chapters detailing how to use the SGeMS software. SGeMS is a software for 3D geostatistical modeling. It implements many of the classical geostatistics algorithms, as well as new developments related to multiple-point geostatistics. The software is open source and fr...

Journal: :Computers & Geosciences 2014
Lewis Li Alexandre Boucher Jef Caers

While algorithms and methodologies to study uncertainty in the Earth Sciences are constantly evolving, there are currently few open-source integrated softwares that allows the general practitioners access to these developments. This paper presents SGEMS-UQ, a plugin for the SGEMS platform, that is used to perform distance-based uncertainty analysis on geostatistical simulations, and the resulti...

2015
K. C Okafor

Distributed Cloud Computing Network is an important subsystem in an on going research referred to as Smart Green Energy Management System (SGEMS). In this paper, we propose a dynamic service availability architecture using two server types (virtualized and legacy server types) and their QoS metrics (particularly service delay time and resource availability) for detailed analysis. The work is ai...

2010
Alexandre Boucher Rahul Gupta Jef Caers Addy Satija

The recent developments of training image-based geostatistics have allowed the creation of stochastic models with greater realism than before. These algorithms aim at reproducing spatial patterns, such as connectivity, that are depicted in a training image. A training image contains the possible spatial configurations for any given geological object and relationships between objects. However, a...

Journal: :Computers & Geosciences 2008
Jianbing Wu Alexandre Boucher Tuanfeng Zhang

The new multiple-point geostatistical algorithm (FILTERSIM), which can handle both categorical and continuous variable training images, is implemented in the SGeMS software. The spatial patterns depicted by the training image are first summarized into a few filter scores; then classified into pattern groups in the filter score space. The sequential simulation approach proceeds by associating ea...

Journal: :int. journal of mining & geo-engineering 2014
mohammad doustmohammadi ahmad jafari omid asghari

uniaxial compressive strength (ucs) is one of the most significant factors on the stability of underground excavation projects. most of the time, this factor can be obtained by exploratory boreholes evaluation. due to the large distance between exploratory boreholes in the majority of geotechnical projects, the application of geostatistical methods has increased as an estimator of rock mass pro...

Journal: :BioEssays : news and reviews in molecular, cellular and developmental biology 2005
Debarati Paul Gunjan Pandey Rakesh K Jain

In the past few decades, increased awareness of environmental pollution has led to the exploitation of microbial metabolic potential in the construction of several genetically engineered microorganisms (GEMs) for bioremediation purposes. At the same time, environmental concerns and regulatory constraints have limited the in situ application of GEMs, the ultimate objective behind their developme...

2006
Jianbing Wu Alexandre Boucher

In most petroleum and geoscience studies, the flow is controlled by the connectivity of extreme permeabilities (both high and low) associated with multiple-scale geological patterns. Hence, it is critical to model such patterns in order to predict successfully the flow performance. The new multiple-point geostatistical algorithm (FILTERSIM), which can handle both categorical and continuous vari...

Journal: :E3S web of conferences 2022

In recent decades, all of the previous researches for determination soil-rock characteristics implemented effectively such as geophysical method, static and dynamic penetration, chemical methods blasting method so on. These combined with experimental results in laboratory. However, these lost much time, costs, other environmental conditions that machines, tools, people, environment, sample pres...

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