Kazakhstan journal for oil & gas industry

2707-42262957-806X

KMG Engineering

109025

10.54859/kjogi109025

GPU-BASED PARALLEL COMPUTATION OF WIND-INDUCED SEA CURRENTS FOR OIL SPILL PROPAGATION MODELING IN THE CASPIAN SEA

Kudaikulov

Aziz

Leading Researcherazizkudaikulov@gmail.comhttps://orcid.org/0000-0002-4389-4097Amanzholov

Tannur

Senior Researchertannur.amanzholov@gmail.comhttps://orcid.org/0000-0001-7386-9717Alibek

Kuljabekov

PhD, Head of LaboratoryAlibek.kuljabekov@gmail.comhttps://orcid.org/0000-0003-4384-6463Aliuly

Abdurashid

Senior Researcheraliulyabdurashid@gmail.comhttps://orcid.org/0000-0001-6845-6571Seitov

Abzal

seitovabzal9@gmail.comhttps://orcid.org/0000-0002-7317-3047Assilbekov

Bakhytzhan

Chief Researcherassilbekov.b@gmail.comhttps://orcid.org/0000-0002-0368-0131Shabilov

Spartak

Junior Researchersshabilov@gmail.comhttps://orcid.org/0009-0002-3467-5842Syrlybekkyzy

Samal

PhD, Associate Professor, Dean of the Faculty of Engineeringsamal.syrlybekkyzy@yuedu.kzhttps://orcid.org/0000-0002-0260-0611Kaltayev

Aidarkhan

Doctor of Physical and Mathematical Sciences, Professor, Head of Laboratoryaidarkhankaltayev@gmail.comhttps://orcid.org/0000-0003-2180-2785

Al-Farabi Kazakh National Universityl-Farabi Kazakh National UniversitySatbayev Kazakh National Research Technical UniversityInstitute of ionosphereYessenov Caspian University of Technologies and Engineering83

28072026

09092026

Relevance. Kazakhstan is one of the largest oil producers in Central Asia, with major projects concentrated in the Caspian region. Oil spills in marine areas pose a serious ecological threat, making it essential to develop effective forecasting tools for their spread. Materials and Methods. Three-dimensional hydrodynamic models with parameterized turbulent viscosity were applied. Numerical schemes were implemented in explicit and implicit forms, parallelized along x and y coordinates using the OpenCL library. Simulations were performed on CPU and GPU for both uniform and non-uniform grids. Results. GPU-based computations demonstrated significant acceleration: up to 23 times faster on uniform grids and up to 13 times faster on non-uniform grids. The accuracy of simulations with 40 vertical nodes was comparable to that of uniform grids with 500 nodes. Conclusion. Parallel GPU algorithms substantially reduce computation time while maintaining high accuracy in modeling wind-driven currents. This makes them a promising tool for forecasting oil spill dispersion in the Caspian Sea.

GPU, OpenCL, parallel computing, wind velocity field, sea currents

GPUOpenCLпараллельные вычисленияполе скоростей ветраморские течения

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