Lenovo внедрила суперкомпьютер в Иркутскую нефтяную компанию

Lenovo has introduced a supercomputer into the Irkutsk oil company

Lenovo has completed a project to implement the HPC Cluster of the Irkutsk Oil Company (INC). The aim of the project is to strengthen IT infrastructure to accelerate geological exploration.

Irkutsk Oil Company is a large independent producer of hydrocarbons in Russia. INC. Group of companies is engaged in geological exploration, exploration and production of hydrocarbons at
deposits and sections of subsoil in Eastern Siberia – in the Irkutsk region, the Sakha Republic (Yakutia) and the Krasnoyarsk region.

Prior to the implementation of the project, INC specialists used graphical stations in which geological engineering calculations were carried out, but they have limitations on the volume of calculations with
using digital models of deposits related to their performance. Using these solutions was inefficient in terms of the time required to execute
individual station calculations. Complex models with a large number of cells were calculated for a long time, which resulted in low efficiency of business decision making at high cost. appeared
the need for a unified geographically distributed system.

Lenovo experts have suggested connecting each workstation’s graphical workstations to a single HPC cluster that will process large volumes of data. communication between
Lenovo and the INC, logistics, delivery and installation of the equipment were performed by the Siberian Information Technology Center (ISIB).

Lenovo Scalable Infrastructure Cluster Computing Complex is equipped with 6 GPGPU (General-purpose computing on graphics processing units), 120
CPU cores, 3 840 – CUDA, 30 720 – Tensor. TruDDR4 2666MHz total memory capacity is 1 152 GB, and CPU core memory is 9.6 GB.

With the introduction of the supercomputer, the Irkutsk Oil Company has increased its processing capacity. INC experts note the productivity increase of individual models up to 7 times. In addition,
The HPC cluster provided flexibility and scalability of the system, as well as simplified maintenance of 19 fields.

Now, depending on the complexity of the task, specialists can use the resources of both an individual node and the entire cluster. Therefore, the HPC managed to remove the dimension constraints
digital models.

oil and gas, supercomputer


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