Multiphase Flow Metering combining Coriolis and Tomography Technologies

Coventry; Coventry; On-site; GBP 17,000 - 21,000; Full time

Benefits offered by this job

Fully funded PhD

Tuition fees covered

Job summary

Coventry University invites applications for a fully funded PhD position to investigate multiphase flow measurement using Coriolis mass flow metering and Electrical Capacitance Tomography as part of an EPSRC project.

The student will collect experimental data, develop physical and machine learning models, and deliver online estimates of flow rates with reduced uncertainty.

Qualifications

• A minimum of a 2:1 first degree in a relevant discipline/subject area with a minimum 60% mark in the project element or equivalent with a minimum 60% overall module average.
• The potential to engage in innovative research and to complete the PhD within 3.5 years.
• A minimum of English language proficiency (IELTS academic overall minimum score of 6.5 with a minimum of 6.0 in each component).

Responsibilities

• Collect data sets over varying gas and liquid flow rates and fluid properties to characterize the Coriolis meter response.
• Develop physical, heuristic and machine learning models to correlate and model the ECT and Coriolis data streams to provide improved online estimates of fluid flow rates.
• Engage in experimental campaigns and analysis as part of an EPSRC project partnership with Brazil.

Skills

Fluid mechanics

Signal processing

Real-time programming

Education

2:1 degree in a relevant discipline

Tools

Coriolis MFM

ECT tomography

Job description

Multiphase Flow Metering combining Coriolis and Tomography Technologies

Eligibility: UK/International (including EU) graduates with the required entry requirements

Duration: Full-Time – between three and three and a half years fixed term

Interview date: Will be confirmed to shortlisted candidates

We invite applications for a fully funded PhD position to investigate multiphase flow measurement combining two current technologies: Coriolis Mass Flow Metering (CMFM) and Electrical Capacitance Tomography (ECT), as part of a wider EPSRC project partnership with Brazil aiming to develop CMFM techniques for high pressure applications, especially for Carbon Capture and Storage. In this project, experimental campaigns using both technologies simultaneously, will lead to theoretical analysis and physics-Informed machine learning model development providing improved multiphase flow measurement.

The FCS flow lab generates a wide range of oil/water/gas flows to support an experimental programme. It includes a prototype research multiphase Coriolis meter, allowing novel models and procedures to be implemented and tested online, as well as two ECT systems to analyse gas/liquid flow distribution at the Coriolis meter entrance and exit.

The student will become a user of these systems, collecting data sets over varying gas and liquid flow rates and fluid properties to characterise the response of the Coriolis meter in terms of mass flow and density errors, while observing the corresponding tomographic data. A variety of physical, heuristic and machine learning models will be developed to characterise, correlate and model the ECT and Coriolis data streams to provide improved on-line estimates of the fluid flowrates, characterised by reduced uncertainties and/or a broader operational range of flow conditions.

Funding

Tuition fees and bursary

The successful candidate will receive comprehensive research training including technical, personal and professional skills. All researchers at Coventry University (from PhD to Professor) are part of the Doctoral College and Researcher College which provides support with high-quality training and career development activities.

You’re invited to become part of the Coventry Centre for Doctoral Training in AI (C-CDT AI ): a dynamic, collaborative hub uniting AI staff and PGR researchers from across the University.
As a C-CDT member you’ll benefit from structured AI training (from core research methods to ethics and innovation), interdisciplinary peer networks, specialist supervision, shared GPU/cloud resources, workshops, seminars and industry-focused challenge projects.
This additional training and community, complements your home research centre programme, accelerates your technical and professional development, and connects you with a broad AI research ecosystem tackling impactful problems across sectors

Entry requirements

• A minimum of a 2:1 first degree in a relevant discipline/subject area with a minimum 60% mark in the project element or equivalent with a minimum 60% overall module average.

PLUS

• The potential to engage in innovative research and to complete the PhD within 3.5 years.
• A minimum of English language proficiency (IELTS academic overall minimum score of 6.5 with a minimum of 6.0 in each component).

Additional requirements

The successful candidate will have a strong background in fluid mechanics and/or signal processing, a strong academic record, and will be highly motivated. Familiarity with flow measurement techniques, especially for multiphase flow, is highly desirable while experience in real-time programming is advantageous.

All applications require full supporting documentation, a covering letter, plus a 500 word supporting statement showing how the applicant’s expertise and interests are relevant to the project.

Priory Street
Coventry CV1 5FB
United Kingdom