Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review
High-Performance Simulation of Electrical Logging Data in Petroleum Reservoirs Using Graphics Processors. / Glinskikh, Vyacheslav; Dudaev, Alexander; Nechaev, Oleg.
Parallel Computational Technologies - 11th International Conference, PCT 2017, Revised Selected Papers. ed. / L Sokolinsky; M Zymbler. Vol. 753 Springer-Verlag GmbH and Co. KG, 2017. p. 186-200 (Communications in Computer and Information Science; Vol. 753).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review
}
TY - GEN
T1 - High-Performance Simulation of Electrical Logging Data in Petroleum Reservoirs Using Graphics Processors
AU - Glinskikh, Vyacheslav
AU - Dudaev, Alexander
AU - Nechaev, Oleg
PY - 2017/1/1
Y1 - 2017/1/1
N2 - The work is concerned with the development of numerical algorithms for solving direct problems of borehole geoelectrics by applying high-performance computing on GPUs. The numerical solution of the direct 2D problem is based on the finite-element method and the Cholesky decomposition for solving a system of linear equations. The software implementations of the algorithm are made by means of the NVIDIA CUDA technology and computing libraries making it possible to decompose the equation system and find its solution on CPU and GPU. The analysis of computing time as a function of the matrix order has shown that in the case at hand the computations are the most effective when decomposing on GPU and finding a solution on CPU. We have estimated the operating speed of CPU and GPU computations, as well as high-performance CPU–GPU ones. Using the developed algorithm, we have simulated electrical logging data in realistic models.
AB - The work is concerned with the development of numerical algorithms for solving direct problems of borehole geoelectrics by applying high-performance computing on GPUs. The numerical solution of the direct 2D problem is based on the finite-element method and the Cholesky decomposition for solving a system of linear equations. The software implementations of the algorithm are made by means of the NVIDIA CUDA technology and computing libraries making it possible to decompose the equation system and find its solution on CPU and GPU. The analysis of computing time as a function of the matrix order has shown that in the case at hand the computations are the most effective when decomposing on GPU and finding a solution on CPU. We have estimated the operating speed of CPU and GPU computations, as well as high-performance CPU–GPU ones. Using the developed algorithm, we have simulated electrical logging data in realistic models.
KW - Direct 2D problem
KW - Electrical logging data
KW - Finite-element method
KW - Graphics processing units
KW - Parallel algorithm
KW - ELECTROMAGNETIC LOGS
KW - FIELD
KW - BIOPOLYMER
UR - http://www.scopus.com/inward/record.url?scp=85032494798&partnerID=8YFLogxK
U2 - 10.1007/978-3-319-67035-5_14
DO - 10.1007/978-3-319-67035-5_14
M3 - Conference contribution
AN - SCOPUS:85032494798
SN - 9783319670348
VL - 753
T3 - Communications in Computer and Information Science
SP - 186
EP - 200
BT - Parallel Computational Technologies - 11th International Conference, PCT 2017, Revised Selected Papers
A2 - Sokolinsky, L
A2 - Zymbler, M
PB - Springer-Verlag GmbH and Co. KG
T2 - 11th International Conference on Parallel Computational Technologies, PCT 2017
Y2 - 3 April 2017 through 7 April 2017
ER -
ID: 9753930