Hybrid parallel framework for multiple-point geostatistics on Tianhe-2: A robust solution for large-scale simulation

2021 ◽  
Vol 157 ◽  
pp. 104923
Author(s):  
Zhesi Cui ◽  
Qiyu Chen ◽  
Gang Liu ◽  
Gregoire Mariethoz ◽  
Xiaogang Ma
Keyword(s):  
Large Scale ◽  
Multiple Point ◽  
Robust Solution ◽  
Large Scale Simulation

LARGE-SCALE SIMULATION OF OIL RECOVERY BY SURFACTANT-POLYMER FLOODING

2016 ◽  
Vol 4 (1) ◽  
pp. 12-31 ◽  
Author(s):  
D.Zh. Akhmed-Zaki ◽  
T.S. Imankulov ◽  
B. Matkerim ◽  
B.S. Daribayev ◽  
K.A. Aidarov ◽  
...  
Keyword(s):  
Oil Recovery ◽  
Large Scale ◽  
Polymer Flooding ◽  
Large Scale Simulation

Large-Scale Simulation Models in Population and Development: A Reply

1977 ◽  
Vol 3 (1/2) ◽  
pp. 126
Author(s):  
W. Brian Arthur ◽  
Geoffrey McNicoll
Keyword(s):  
Large Scale ◽  
Simulation Models ◽  
Large Scale Simulation

The MPS Reconstruction of Porous Media Using Multiple-Grid Templates

2013 ◽  
Vol 462-463 ◽  
pp. 462-465 ◽  
Author(s):  
Yi Du ◽  
Ting Zhang
Keyword(s):  
Porous Media ◽  
Large Scale ◽  
Grid Method ◽  
Training Image ◽  
Multiple Point ◽  
Grid Data ◽  
Large Scale Structures ◽  
Complex Features ◽  
Grid Nodes ◽  
Data Template

It is difficult to reconstruct the unknown information only by some sparse known data in the reconstruction of porous media. Multiple-point geostatistics (MPS) has been proved to be a powerful tool to capture curvilinear structures or complex features in training images. One solution to capture large-scale structures while considering a data template with a reasonably small number of grid nodes is provided by the multiple-grid method. This method consists in scanning a training image using increasingly finer multiple-grid data templates instead of a big and dense data template. The experimental results demonstrate that multiple-grid data templates and MPS are practical in porous media reconstruction.

scholarly journals Large scale simulation for human evacuation and rescue

2012 ◽  
Vol 64 (12) ◽  
pp. 3869-3880 ◽  
Author(s):  
Erol Gelenbe ◽  
Fang-Jing Wu
Keyword(s):  
Large Scale ◽  
Large Scale Simulation

scholarly journals Network dynamics with BrainX3: a large-scale simulation of the human brain network with real-time interaction

2015 ◽  
Vol 9 ◽  
Author(s):  
Xerxes D. Arsiwalla ◽  
Riccardo Zucca ◽  
Alberto Betella ◽  
Enrique Martinez ◽  
David Dalmazzo ◽  
...  
Keyword(s):  
Human Brain ◽  
Real Time ◽  
Large Scale ◽  
Network Dynamics ◽  
Brain Network ◽  
Large Scale Simulation ◽  
Time Interaction
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