Currently, high-viscosity oil fields are actively developed in the world. This is due to the depletion of world reserves of light oils and a significant resource of heavy high-viscosity oils. The viscous oil production requires a solution to the issue of its transportation, which becomes much more complicated. This is determined by greatly increasing pressure loss due to hydraulic resistance when pumping heavy oil. To reduce the loss of the head, the pumped oil viscosity should be decreased. The paper considers improving the efficiency and transportation of high-viscosity oil by emulsification and creating a coaxial flow.

A wide application of the rotary-type machines as actuating mechanisms and driving units in the oil&gas industry stipulates for a special approach towards the diagnostics of the current state of their elements. Roller bearings of such machines are the most critical joints as they are under constant action of significant power and oscillatory loads. Generally, failures of roller bearings cause the destruction of not only the bearings but also the contacting parts. Modern dynamic methods of diagnosing the unit and machine technical state, in particular, vibration diagnostics, allow avoiding emergency and hazardous situations, unreasonable and unscheduled stops and expensive visits of the manufacturer’s specialist. The article considers the existing methods of diagnosing the rolling bearings state by vibration parameters. As a rule, most modern methods are based on quite precise mathematical calculations of vibration components, require the application of specialized and expensive software and do not provide a possibility to make a precise conclusion on the researched object technical state at practice. The article considers the method of detecting the technical state of roller bearings which can be applicable in most cases. This method reveals the general forms of spectral modulations, reflecting the presence of incipient and developing faults, and defines the real values of a diagnostic sample - test spectrum, uses very few mathematical calculations and does not require all the standard bearing geometrical parameters during analysis.

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The rolling bearings used in modern rotor machines in the oil-and-gas sector are seen as crucial components. The accuracy of their production complies with the highest operational requirements. However, bearings are also the most probable cause of rotor machine failures. This can be attributed to the friction in support assemblies. This article considers the mathematical dependencies reflecting the dynamic processes occurring in rolling bearing during operation. It will help construct a modern test-range model for vibration-based diagnostics of bearing systems. The experiments with the practical use of this model showed a fault detection accuracy of 82-84%, which is a very good result.

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