In this research project we propose to utilize an Operator-Based Linearization (OBL) approach to multiscale representation of the multicomponent multiphase flow in subsurface reservoirs.

The advantage is that a conventional two-stage upscaling approach which includes multiphase flow and compositional effects reconstruction (either using transport coefficient or non-equilibrium phase behaviour) can be replaced by a uniform reconstruction of the convective operators.

These operators are represented as multi-dimensional tables and can be directly used in OBL-based simulators (e.g., DARTS or GEOS) or processed as pseudo-functions in conventional simulators.

For generating operators in OBL approach, we propose the utilization of a Machine Learning (ML) technique to account for particular heterogeneity patterns and other parameters (e.g., upstream and downstream pressure and composition) when training operators for proxy modelling.

The developed proxy technique will be combined with Discrete Well Affinity (DiWA) model developed for reservoir dynamics forecasts. This approach allows for accurate and robust data assimilation with a limited number of degrees of freedom representing reservoir parameters. 

Need to have:

• Programming in Python
• Good experience in Reservoir Simulation
• Experience in Machine Learnings

Nice to have

• Experience in Operator-Based Linearization (OBL) approach
• Good knowledge of upscaling techniques
• Experience in data-driven proxy modeling 

Doing a PhD at TU Delft requires English proficiency at a certain level to ensure that the candidate is able to communicate and interact well, participate in English-taught Doctoral Education courses, and write scientific articles and a final thesis. For more details please check the Graduate Schools Admission Requirements.

Fixed-term contract: 4 years.

Doctoral candidates will be offered a 4-year period of employment in principle, but in the form of 2 employment contracts. An initial 1,5 year contract with an official go/no go progress assessment within 15 months. Followed by an additional contract for the remaining 2,5 years assuming everything goes well and performance requirements are met.

Salary and benefits are in accordance with the Collective Labour Agreement for Dutch Universities, increasing from € 2541 per month in the first year to € 3247 in the fourth year. As a PhD candidate you will be enrolled in the TU Delft Graduate School. The TU Delft Graduate School provides an inspiring research environment with an excellent team of supervisors, academic staff and a mentor. The Doctoral Education Programme is aimed at developing your transferable, discipline-related and research skills.

The TU Delft offers a customisable compensation package, discounts on health insurance and sport memberships, and a monthly work costs contribution. Flexible work schedules can be arranged. For international applicants we offer the Coming to Delft Service and Partner Career Advice to assist you with your relocation.

Delft University of Technology

Delft University of Technology is built on strong foundations. As creators of the world-famous Dutch waterworks and pioneers in biotech, TU Delft is a top international university combining science, engineering and design. It delivers world class results in education, research and innovation to address challenges in the areas of energy, climate, mobility, health and digital society. For generations, our engineers have proven to be entrepreneurial problem-solvers, both in business and in a social context.

At TU Delft we embrace diversity as one of our core values and we actively engage to be a university where you feel at home and can flourish. We value different perspectives and qualities. We believe this makes our work more innovative, the TU Delft community more vibrant and the world more just. Together, we imagine, invent and create solutions using technology to have a positive impact on a global scale. That is why we invite you to apply. Your application will receive fair consideration.

Challenge. Change. Impact!

Faculty Civil Engineering & Geosciences

The Faculty of Civil Engineering & Geosciences (CEG) is committed to outstanding international research and education in the field of civil engineering, applied earth sciences, traffic and transport, water technology, and delta technology. Our research feeds into our educational programmes and covers societal challenges such as climate change, energy transition, resource availability, urbanisation and clean water. Our research projects are conducted in close cooperation with a wide range of research institutions. CEG is convinced of the importance of open science and supports its scientists in integrating open science in their research practice. The Faculty of CEG comprises 28 research groups in the following seven departments: Materials Mechanics Management & Design, Engineering Structures, Geoscience and Engineering, Geoscience and Remote Sensing, Transport & Planning, Hydraulic Engineering and Water Management.

Click here to go to the website of the Faculty of Civil Engineering & Geosciences.

More information about the Department of Geoscience & Engineer can be found here.