Accelerating Multiple-Point Geostatistical Simulation with GPU

Óli D. Jóhannsson; Thomas Mejer Hansen

doi:10.3997/2214-4609.201801725

Accelerating Multiple-Point Geostatistical Simulation with GPU

Óli D. Jóhannsson, Thomas Mejer Hansen

Klima- og Geofysik / Climate and Geophysics

Abstract

Geostatistical simulation methods are widely used to characterize reservoir models in the Earth Sciences. Multiple-Point Geostatistics (MPS) is a class of methods of sequential simulation, that unlike two-point statistics, can reproduce complex spatial features, such as connectivity, curviliniarity, and features of multiple scale orders. In practice the utilization of MPS based simulation is hampered by their relatively high computational costs. Here a Graphics Processing Unit (GPU) based parallel implementation of IMPALA is presented in which the pattern statistics is scanned only once, and stored on the GPU.

Originalsprog	Dansk
Publikationsdato	1 jun. 2018
Antal sider	4
DOI	https://doi.org/10.3997/2214-4609.201801725
Status	Udgivet - 1 jun. 2018
Begivenhed	80th EAGE Annual Conference and Exhibition 2018 - Bella Center, København, Danmark Varighed: 10 jun. 2018 → 15 jun. 2018 https://events.eage.org/en/2018/eage-annual-2018

Konference

Konference	80th EAGE Annual Conference and Exhibition 2018
Lokation	Bella Center
Land/Område	Danmark
By	København
Periode	10/06/2018 → 15/06/2018
Internetadresse	https://events.eage.org/en/2018/eage-annual-2018

Adgang til dokumentet

10.3997/2214-4609.201801725

Johannsson and Hansen, 2018 - Accelerating Multiple-Point Geostatistical Simulation with GPUForlagets udgivne version, 305 KB

Citationsformater

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