TU Delft Vacancies DeepNL

Investigating subsurface processes in the Netherlands

NWO awarded more than 4 million euros to 5 innovative research projects from the faculty of Civil Engineering and Geosciences (CEG) for research into the effect of human interventions deep under the ground. The research programme DeepNL seeks to improve the fundamental understanding of deep subsurface dynamics that occur under the influence of human interventions such as gas production and geological storage of CO2.


Vacancies for 15 PhD candidates

Five projects will start at TU Delft to investigate deep subsurface processes.

Project 1: Science4Steer: a scientific basis for production and reinjection strategies to minimize induced seismicity in Dutch gas fields. With laboratory experiments and computer models we help the society make better decisions by providing understanding how we can steer subsurface acitivies safely. The project will be carried out in close cooperation with Utrecht University.

Project 2: Subsidence: Integrating Geodesy and Geophysics to monitor and model the Dutch Subsurface. Land subsidence is an inconvenient consequence of exploitation of the subsurface. It is also one of the most important sources of information to understand subsurface behaviour. Using space geodetic data, such as InSAR and GPS, and advanced subsurface models, we will investigate how to optimally integrate improved observational and modelling methods to understand physical processes in the subsurface, from the reservoir to the topsoil.

Project 3: SOFTTOP: Investigating heterogeneous soft top soils for wave propagation, cyclic degradation and liquefaction potential. The design of a new dynamic testing facility, combined with laboratory testing, field tests and the development of material models will provide industry guidance and prototype analysis tools.

Project 4: InFocus: An Integrated Approach to Estimating Fault Slip Occurrence.
Using data-assimilation methods, the aim is to provide probabilistic estimates of fault slip occurrence. The computational framework is a first step towards a decision-making tool that through considering different gas-production scenarios will help to minimize the effects of earthquakes for society. The research will be carried out in close cooperation with Utrecht University.

Project 5: DeepImage: Multi-scale geophysical imaging, monitoring, and forecasting of induced seismicity; forecasting the ground motion in Groningen. In this project, we develop a new forecasting methodology, which combines laboratory experiments, seismic modelling, and monitoring techniques. This research will contribute to a better understanding of the relation between human intervention in the subsurface and related effects at the earth's surface. 

Project descriptions and vacancies per project