Rosneft Developed a New Method for Selecting Casing Pipes
Specialists of the Ufa design institute of Rosneft developed a methodology for selecting casing pipes at fields with high content of corrosive components. The actual economic effect from the implementation of the innovation exceeded 3 million rubles per well. Scientists analyzed more than 8,500 wells across 93 fields operated by …
Verkhnechonskneftegaz Increased Commercial Drilling Speed by 25%
Specialists of Verkhnechonskneftegaz (part of Rosneft’s oil and gas production segment) increased commercial drilling speed by more than 25% — by 900 metres per rig month. The effect was achieved at the Verkhnechonskoye oil and gas condensate field through the implementation of a set of Russian technologies. Verkhnechonskneftegaz introduced smaller …
Rosneft Develops Technologies for Drilling and Well Development
RN-Yuganskneftegaz, a key production asset of the Company, held an annual specialized technological forum to consolidate best practices in the implementation of innovative drilling and well development technologies. This year, the event brought together representatives of Rosneft’s subsidiaries and leading service companies in the country. Specialists shared new technological solutions …
Novy Urengoy Drilling Company Paid 1.7 Billion Rubles in Debt and Avoided Bankruptcy
Within six months, NUBK repaid debts totaling 1.7 billion rubles. In the Yamalo-Nenets Autonomous Okrug, bankruptcy proceedings against one of the largest partners of Gazpromand Rosneft — the Novy Urengoy Drilling Company (NUBK) — have been completed. In September 2025, the company failed to pay taxes and penalties to the …
Rosneft Improves the Quality of Field Development Design
Scientists from the Ufa Research Institute of Rosneft have patented an innovative method for evaluating the technological efficiency of oil and gas field development. The solution makes it possible to determine the most suitable well completion technologies, including hydraulic fracturing technologies, taking into account the geological characteristics of different areas …
RN-Uvatneftegaz Replenished Hydrocarbon Production by 109% in 2025
RN-Uvatneftegaz (part of the oil production complex of Rosneft Oil Company) increased its hydrocarbon reserves by 12 million tons of oil equivalent in 2025, replenishing production by 109%. The reserve growth was ensured by successful geological exploration activities and re-evaluation of resources at producing fields. Reserves of the new Yuzhno-Keumskoye …
Rosneft Opened an Onshore Drilling Competence Center at Tyumen Industrial University
Rosneft has opened an Onshore Drilling Competence Center at Tyumen Industrial University. The new unique training platform provides opportunities for comprehensive training of specialists in drilling and well workover. The Center includes five specialized classrooms equipped with modern Russian simulator systems. The equipment simulates real drilling conditions and fully reproduces …
Kondaneft’s Effect from Innovation Implementation Exceeded 1.1 Billion Rubles
Kondaneft (part of Rosneft’s oil production complex) achieved an economic effect of more than 1.1 billion rublesfollowing the implementation of production efficiency improvement projects in 2025. Among the implemented initiatives were 15 innovations developed by the company’s specialists. The greatest economic effect was achieved in the areas of well logging …
Rosneft Improves Accuracy of Oil-Bearing Reservoir Forecasts
Specialists of the Tyumen Research Institute of Rosneft have created a unique seismic facies model of the Russkoye field, which will enable more accurate identification of oil-bearing zones during drilling. The large-scale work on building the model included studies of sedimentation conditions, analysis of wave field characteristics based on seismic …
Rosneft Implements Artificial Intelligence in Core Analysis
Rosneft continues its digital transformation of the oil and gas industry, taking work with geological data to a qualitatively new level. Specialists at the company’s Tyumen research institute have developed and implemented a service based on large language models (LLM) to automate the analysis of lithological core descriptions. The digital …
