Technical condition diagnostics at the park of gas-pumping units
OIL AND GAS
Objective: Predictive diagnostics of the technical condition of gas compressor units and optimization of fuel consumption
Tasks:
Solution
Results
Effects
Tasks:
- Prevention of emergency shutdowns
- Reduction of maintenance and equipment repair costs
Solution
- Development of digital models for key systems: gas-air path, oil system, comprehensive air-cleaning device
- Creation of a defect classifier for defects localization and issuance of recommendations for their elimination
- Physical and mathematical modeling and real-time monitoring of gas turbine installations dynamics
Results
- Prevention of emergency shutdowns and minimization of service loss
- Reduced fuel consumption and operating costs
Effects
- Defect recognition for the most critical subsystem (the flow path) 400 hours before the breakdown
- An emergency stop was predicted saving $700-800,000
- Up to 3% reduction in operating costs due to lower fuel gas consumption
Predictive analytics of the technical condition of the gas turbine unit compressor and turbine and gas compressors of the gas pumping unit
OIL AND GAS
Objective: Elaboration of the possibility of transition to preventive maintenance of equipment based on equipment condition monitoring data using CyberStudio software using adapted predictive models of equipment condition
Tasks:
Solution
Creating predictive models of equipment with CyberStudio software
Results
Model development:
Physical and mathematical model of the turbine and compressor of the gas turbine
Physical and mathematical model of the compressor
Development of transfer models based on Transfer Learning technology in the CyberStudio platform (development of a defect classifier)
Tasks:
- Creation of predictive models for the equipment of gas pumping units
- Predictive analytics of the technical condition of the gas turbine unit compressor and turbine and gas compressors of the gas pumping unit
- Turbine and gas turbine compressor
- Gas pumping unit compressor
Solution
Creating predictive models of equipment with CyberStudio software
Results
Model development:
Physical and mathematical model of the turbine and compressor of the gas turbine
Physical and mathematical model of the compressor
Development of transfer models based on Transfer Learning technology in the CyberStudio platform (development of a defect classifier)
Bottleneck analysis and optimization of drilling rig
OIL AND GAS
Objective: Confirm the effectiveness of the use of valve electric motor compared to the traditional downhole motor through simulation modeling of the drilling process under various operating conditions
Tasks:
Solution
Effects
Tasks:
- Make the standard drilling process with a screw downhole motor from the surface more controllable
- Adjust the process of receiving feedback.
- Reduce the dependence on drilling fluid and its physicochemical properties
- Screw Downhole Motor
- Valve Electric Motor
Solution
- Development of a screw downhole motor model based on drilling data
- Construction of a simulation model of the valve electric motor using the Bond Graph method
- Comparison of the efficiency of the drilling process in terms of power consumption
Effects
- Advantages of using the valve electric motor in terms of its higher energy efficiency
- On average, energy consumption can be reduced by 11%
- Ability to increase the bit power by 25% in critical mode or 43% in nominal mode when using the valve electric motor
- Increased bit power allows for a proportional increase in drilling speed
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Kazakhstan, Almaty Baizakov St 280
Industrial AI for production efficiency and safety