MIL OSI Translation. Region: Russian Federation –
Source: Rosneft – Rosneft – An important disclaimer is at the bottom of this article.
The software packages RN-GEOSIM and GIS-RN became winners of the XV competition “Best digital solutions for the oil and gas industry” in the nomination “Best internal corporate development”. The award ceremony took place in Moscow as part of the X Federal Forum on IT and digital technologies of the oil and gas industry of Russia Smart Oil
Rosneft is the first company in Russia to successfully create science-intensive software covering all key processes of hydrocarbon exploration and production. The Company’s line of science-intensive software includes 24 products for key processes of oil and gas production, 10 of which are available for purchase.
“RN-GEOSIM” was developed by the Ufa scientific institute of “Rosneft”. Specialists use the software package to build geological models and analyze hydrocarbon deposits, which increases the efficiency of their exploration and development.
The software package provides a full range of tools, such as data management, interactive visualization, well section correlation, structural modeling taking into account tectonic faults, 3D geological modeling, reserve calculation, and generation of reporting graphics.
The Company’s specialists are constantly improving the digital product, supplementing it with innovative modeling methods for more accurate construction of the field model. Test licenses for the software can be ordered on the website https://rn.digital/rngeosim/.
The GIS-RN system is a joint development of the Rosneft Research Institute in Tomsk and Sibintek. This is the first corporate geographic information system (GIS) that is built on import-substituting technologies and solves current production problems in the oil sector of the fuel and energy complex.
The multifunctional digital service consolidates arrays of geospatial information from users and is used at all stages of capital construction and operation of oil and gas field facilities.
By 2025, the capabilities of GIS-RN will be supplemented by a module based on a neural network model for automated interpretation of aerospace images obtained during engineering surveys and environmental monitoring. Artificial intelligence trained on a profile sample will be able to recognize terrain objects – rivers, lakes, vegetation and even illegal logging – dozens of times faster than humans.
Rosneft has been consistently developing and commercializing domestic software for oil and gas production for over 20 years. This strategic decision was dictated by the need to ensure the technological independence of the country’s oil and gas industry, taking into account the specifics of the reserve structure and modern approaches to oil and gas production.
Reference:
The competition “Best Digital Solutions for the Oil and Gas Industry” has been held since 2009. An independent jury determines the most significant innovative projects in the IT field and industrial automation.
Department of Information and Advertising of PJSC NK Rosneft September 24, 2024
Please note: This information is raw content directly from the source of the information. It is exactly what the source states and does not reflect the position of MIL-OSI or its clients.
Please note; This information is raw content directly from the information source. It is accurate to what the source is stating and does not reflect the position of MIL-OSI or its clients.
http://vvv.rosneft.ru/press/nevs/item/220826/
EDITOR’S NOTE: This article is a translation. Apologies should the grammar and or sentence structure not be perfect.