High-performance computing on GPUs for resistivity logging of oil and gas wells

V. Glinskikh, A. Dudaev, O. Nechaev, I. Surodina

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

Abstract

We developed and implemented into software an algorithm for high-performance simulation of electrical logs from oil and gas wells using high-performance heterogeneous computing. The numerical solution of the 2D forward problem is based on the finite-element method and the Cholesky decomposition for solving a system of linear algebraic equations (SLAE). Software implementations of the algorithm used the NVIDIA CUDA technology and computing libraries are made, allowing us to perform decomposition of SLAE and find its solution on central processor unit (CPU) and graphics processor unit (GPU). The calculation time is analyzed depending on the matrix size and number of its non-zero elements. We estimated the computing speed on CPU and GPU, including high-performance heterogeneous CPU-GPU computing. Using the developed algorithm, we simulated resistivity data in realistic models.

Original languageEnglish
Title of host publicationApplication of Mathematics in Technical and Natural Sciences
Subtitle of host publication9th International Conference for Promoting the Application of Mathematics in Technical and Natural Sciences, AMiTaNS 2017
EditorsMD Todorov
PublisherAmerican Institute of Physics Inc.
Number of pages6
Volume1895
ISBN (Electronic)9780735415799
DOIs
Publication statusPublished - 12 Oct 2017
Event9th International Conference for Promoting the Application of Mathematics in Technical and Natural Sciences, AMiTaNS 2017 - Albena, Varna, Bulgaria
Duration: 21 Jun 201726 Jun 2017

Publication series

NameAIP Conference Proceedings
PublisherAMER INST PHYSICS
Volume1895
ISSN (Print)0094-243X

Conference

Conference9th International Conference for Promoting the Application of Mathematics in Technical and Natural Sciences, AMiTaNS 2017
CountryBulgaria
CityAlbena, Varna
Period21.06.201726.06.2017

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