Northern Defectoscope: St. Petersburg Engineers Develop Robotic Diagnostic System for Gas Trunklines
Scientists at Sankt-Peterburgskiy politekhnicheskiy institut (St. Petersburg Polytechnic Institute) have proposed a nontraditional approach to robotic diagnostics of trunk gas pipelines. Their newly developed robot enables operators to complete a full range of inspections before a pipeline is filled with gas, reducing operational risk at the earliest stage of infrastructure deployment.
As project co-author Associate Professor Oleg Shmakov explains, trunk gas pipelines have traditionally been inspected only after being filled with gas. Construction debris often remained inside the pipe, significantly increasing the likelihood of accidents, including damage not only to the pipeline itself but also to compressor equipment.
Engineers from the Vysshaya shkola avtomatizatsii i robototekhniki SPbPU (Higher School of Automation and Robotics at SPbPU) proposed shifting these inspections to the pre-commissioning phase. They developed a dedicated robotic platform designed specifically for that purpose.
The platform can autonomously inspect pipelines with diameters of up to 1,400 millimeters at inclines of up to 30 degrees. According to the developers, the robot can travel distances of up to 60 kilometers. This range is made possible by an integrated energy recuperation system.
The first prototype has already been tested under real-world conditions and demonstrated stable performance at temperatures as low as -40 degrees Celsius. This capability is particularly relevant for Siberia, where the system is expected to see strong demand during the construction of new trunklines.
From Prototype to Industrial Deployment
Work on the robot is being carried out under the federal program Prioritet-2030 (Priority-2030), which aims to bring research developments to full commercial adoption.
In the near term, researchers plan to enhance the system’s sensor data acquisition technology and apply artificial intelligence for data processing. This will enable automatic defect recognition based on sensor inputs, reducing reliance on manual interpretation and accelerating decision-making in the field.
Developers expect commercial rollout of the technology to begin as early as 2027. Demand for advanced diagnostic tools is substantial. Given the large-scale construction of trunk oil and gas pipelines, potential customers and investors include major energy companies such as Rosneft, Gazprom and NOVATEK.
International deliveries are also possible, particularly to countries with active oil and gas production sectors.
An Expanding Engineering Ecosystem
In recent years, the Russian market has seen a surge in demand for robotic inspection systems. The St. Petersburg development is part of a broader technological wave rather than a standalone initiative.
For example, specialists from Perm Polytechnic University, working with colleagues from Volgograd Agrarian University, have developed a universal robot capable of navigating sharp turns of up to 90 degrees while automatically adapting to pipe diameter.
One of the largest players in the segment is TUBOT, a company specializing in in-pipe robotic diagnostics. In 2023, TUBOT successfully tested its equipment at a field in the Yamalo-Nenets Autonomous Okrug, identifying critical installation violations on a newly built pipeline.
These projects collectively reduce reliance on traditional destructive inspection methods, where data from a limited section were extrapolated to the entire pipeline. That approach often led to serious defects being overlooked.
A Digital Foundation for Energy Security
The St. Petersburg robotic diagnostic system represents more than another engineering product. It signals a structural shift toward digital transformation of Russia’s fuel and energy sector.
A mobile platform capable of operating in extreme climates while integrating advanced AI-driven data analytics demonstrates that Russian engineering solutions can compete globally in the field of trunk pipeline diagnostics.
Over the next several years, the technology is expected to transition into commercially available products, move toward scaled production, and generate demand not only from domestic customers but also from international operators.
