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Data Analysis (oil and gas) PhD Projects, Programs & Scholarships

We have 8 Data Analysis (oil and gas) PhD Projects, Programs & Scholarships

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Showing 1 to 8 of 8
  A new metering and data fusion method for wet gas flow
  Dr JJ Jia
Application Deadline: 15 December 2020

Funding Type

PhD Type

Wet gas is any gas with a small amount of liquid present. Wet gas flow metering is becoming increasingly important in many industrial sectors, like oil and gas.
  Marine risers: experimental damage detection, monitoring and numerical modelling using digital twins
  Dr P Omenzetter, Dr D Van der A, Prof E Pavlovskaia
Applications accepted all year round

Funding Type

PhD Type

Marine risers are critical components of any offshore oil and gas production operations linking subsea field developments with production and drilling equipment atop fixed or floating facilities.
  Low-field NMR studies to probe motion and dynamics in rock pore structures
  Dr C D'Agostino
Applications accepted all year round

Funding Type

PhD Type

Quantification of transport and dynamics in rock pore structures is essential for understanding, optimising and enhancing oil and gas recovery as well as assess the capacity and effectiveness for CO2 storage.
  Application of digital holography for underwater measurements
  Dr T Thevar, Dr S S Aphale
Applications accepted all year round

Funding Type

PhD Type

Underwater digital holography is a powerful technique to study marine organisms and marine pollution (e.g. micro-plastics), marine evolution, etc.
  Automated Big data analysis
  Dr A Starkey, Dr M N Campbell-Bannerman
Applications accepted all year round

Funding Type

PhD Type

This project will focus on the task of automating data analysis tasks, particularly for numerical data but the techniques developed could be applied to other domains such as textual data analysis.
  Autonomous learning with Artificial Intelligence
  Dr A Starkey, Dr M N Campbell-Bannerman
Applications accepted all year round

Funding Type

PhD Type

The ability to learn the sensorimotor maps of unknown environments without supervision is a vital capability of any autonomous agent, be it biological or artificial.
  Enhancing the performance, condition, safety and reliability of offshore wind energy infrastructure systems using optimal design, inspections, structural health monitoring and structural control
  Dr P Omenzetter, Dr P Dunning, Dr S S Aphale
Applications accepted all year round

Funding Type

PhD Type

Wind turbines are exposed to frequent structural damage increasing the cost of wind energy generation. To drive these costs down, this project will develop new automated methods for detection of structural damage to wind turbines by examining vibration responses measured by sensors attached to the structure.
  Development of a Hybrid Prognostic Methodology for Predictive Maintenance 4.0
  Dr O Niculita, Prof D McGlinchey, Dr B Alkali
Applications accepted all year round

Funding Type

PhD Type

SCEBE-19-004. Knowing when systems need to be maintained is of great importance to companies operating high-value assets. Further, to know ahead of time, with plenty of time to optimize the maintenance and cause the least amount of disruption to the operation, would be highly desirable.
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