Submission #95

Submission information
Submitted by Anonyme (not verified)
Fri, 03/04/2016 - 12:10
131.155.69.232
Yes
Model order reduction for drilling automation
TU Eindhoven
https://www.tue.nl/en/university/departments/mathematics-and-computer-science/
PhD Thesis
w.h.a.schilders@tue.nl
Eindhoven
Netherlands
In the scope of the European Union EID (European Industrial Doctorates) project HYDRA
on “HYdraulics modelling for DRilling Automation” the following three vacancies for Ph.D.
positions are available:
• PhD 1: at the Department of Mechanical Engineering (in the Dynamics and
Control group) of the Eindhoven University of Technology, the Netherlands, on
“Automatic model reduction techniques for hydraulic drilling models: modelling for
estimation & control“,
• PhD 2: at the Department of Mathematics and Computer Science of the
Eindhoven University of Technology, the Netherlands, on “Automatic model
reduction techniques for hydraulic drilling models: modelling for numerical
simulation“,
• PhD 3: at the Centre Automatiques de Systèmes, MINES ParisTech, France, on
“Simplified model-based estimation of downhole parameters for drilling”.
The HYDRA project is financed by EU as an Innovative Training Program within the
Horizon2020 program, in particular as an EID (European Industrial Doctorates) project.
The scientific objective of HYDRA is to develop a framework for multi-phase hydraulic
modeling and model complexity reduction for drilling operations, delivered in software
directly usable in industry. The resulting models uniquely combine high predictive
capacity and low complexity enabling their usage in both virtual drilling scenario testing
and drilling automation.

Project description
Societal uses for the drilling of deep wells are abundant and have enormous impact on
global economies; examples include the exploration of minerals, geothermal energy, oil
and gas. The future sustainable harvesting of these resources requires the exploitation of
difficult-to-access, unconventional reserves and is threatened by concerns on the
environmental safety and high cost of drilling operations. To overcome these threats,
there are strong needs for advanced tools for virtual drilling scenario testing and drilling
automation and for multidisciplinary employees with adequate technical and transferable
skills.
The HYDRA EID research and training program addresses both needs by founding an
intersectoral doctoral school. The consortium represents top-level expertise in all
scientific and engineering disciplines needed to take on the main challenges of HYDRA:
multiphase flow dynamics, model reduction, control and mathematics. Moreover, the
consortium houses expertise ranging from academic research & training (TU/e, the
Netherlands, MINES ParisTech, France) and industrial R&D (Kelda, Norway) to industrial
practice and training (MH Wirth, Norway, and the Well Academy, the Netherlands),
therewith offering a broad spectrum of training.
The scientific objective of HYDRA is to develop a framework for multi-phase hydraulic
modeling and model complexity reduction for drilling operations, delivered in software
directly usable in industry. The resulting models uniquely combine high predictive
capacity and low complexity enabling their usage in both virtual drilling scenario testing
and drilling automation. The main training objective is to launch 3 doctoral students into
future leading scientific positions with an intersectoral network to support them
throughout their careers.
The envisioned results form the necessary basis for revolutionary advances in the
(environmental) safety and cost-effectiveness of resource exploration in Europe and
beyond and will provide the human capital base for sustaining such efforts beyond this
program’s lifetime.

FULL DESCRIPTION: http://jobs.tue.nl/en/vacancy/3-phd-positions-on-hydraulics-modelling-fordrilling-
automation-hydra-251288.html
36000-40000
Euro
Sun, 03/13/2016