| patrick.hoehn@gwdg.de | |
| Telephone | +49 551/3930265 |
Experience
- Research Associate GWDG October 2025 - present
- Research Associate University of Göttingen May 2023 - September 2025
- Visiting PhD Student NORCE Norwegian Research Centre Apr 2019 - May 2019
- Research Associate Clausthal University of Technology June 2017 - May 2023
- Project Engineer RWTH Aachen University May 2015 - May 2017
- Research Associate Luleå University of Technology 2011 - 2014
Education
- Technische Universität Clausthal - Drilling Simulator Celle - Dr.-Ing., Petroleum Engineering 2017 - 2024
- Luleå University of Technology - Master of Science (MSc), Space Engineering 2008 - 2010 Erasmus Mundus SpaceMaster programme
- Université Paul Sabatier Toulouse III - Master of Science (MSc), Physics and Astrophysics 2008 - 2010 Erasmus Mundus SpaceMaster programme
- Coburg University of Applied Sciences - Dipl. Ing. (FH), Mechanical Engineering 2003 - 2008
Honors and Awards
- Scholarship for Research Exchange at NORCE Norwegian Research Center - E.ON Stipendienfonds Dec 2018
In a recent Master Thesis(https://s.academiccloud.de/zXNP5V), a new simulation framework was developed in Python which become the base of an Open Source Drilling simulator both for research and education. Despite the existing simulator already features a simple nice-gui(https://nicegui.io/) based visualization with graphs, a 3D world also representing the drilling rig would largely increase the attraction for possible users among students and also general public. The thesis tries to address the following research questions: - Is the development of realtime 3D games solely in python feasible? - Is the integration with the previous simulator possible only based on configuration files? - Which game engine is most appropriate within the design requirements? - Is an integration possible with the nice-gui framework? - What is the minimally achievable latency? - How can hardware like joysticks be integrated? - How does the performance differ on the different target platforms? Upon successful completion of the project, the applicant will gain hands-on experience with the development of a serious game. The results are also planned to be submitted in a scientific publication, so it is your chance to get your first paper published.
Precice as already presented at the GöHPCoffee is a multiphysics framework which allows the combination of various simulation codes to perform coupled simulations. These can both include coupled thermal problems or topics related to fluid structure interaction. So far, there exists no possibility to perform a coupled particle simulation using preCICE since the only particle solver is not publicly available. It is the aim of this thesis to mitigate this limitation by implementing a precice-adapter for the particle solver LIGGGHTS-PFM. One possibility could be the modification of an existing OpenFOAM-adapter in preCICE. In addition, the thesis will compare the achievable performance with other coupling libraries using LIGGGHTS and its derivatives. General programming experience is required. Knowledge in simulation technology and particle transport especially in LIGGGHTS is beneficial but not mandatory.
In a recent Master Thesis (https://s.academiccloud.de/zXNP5V), a new simulation framework was developed in Python which become the base of an Open Source Drilling simulator both for research and education. Since any possible simulation is intended to provide realistic results, the sourcing of existing drilling data is essential. It is known that especially the processing of old drilling data is challenging, since in earlier days protocols were still written down by hand. Additionally, it is common that not all variables offer data at all time stamps. Nevertheless, the work is absolutely crucial and requires multi-domain knowledge. Therefore, the proposed thesis project could be also split into separate thesis, one dealing with the digitalization of the old drilling reports and one doing a proper verification of the obtained data based on knowledge from petroleum engineering. Ideally the first candidate would be from the area of digital humanities at Georg-August University Göttingen and the second candidate from TU Bergakademie Freiberg. The theses aim to answer the following research questions: What are the best strategies to digitize old so far unusable drilling reports? How can one merge the obtained data and fill the gaps in the drilling data? Are digitized data consistent and realistic given the operational knowledge of the time of drilling? How could one integrate geological data? Ultimate goal of both theses would be the creating and application of a pipeline to perform a semi-automatic data preprocessing with the transfer of the processed data to a central database. Upon successful completion of the project, the applicant will gain hands-on experience with a real-world multi-disciplinary problem. The results are also planned to be submitted in a scientific publication, so it is your chance to get your first paper published.
Despite drilling technology traditonally originates from the field of oil and gas, it still plays a crucial role in emerging fields of Carbon Capture and Storage, geothermal energy or hydrogen storage. In order to reach a wide adoption of the new fields it is crucial to optimize the wellbore construction costs. In my research I was using mathematical models, i.e. both statistical and empircal, to replicate scenarios generated from previous drilling projects. In my previous paper "Framework for automated generation of real-time rate of penetration models" (doi:10.1016/j.petrol.2022.110369), I created a framework for the automatic parametrization of models for a single variable based on preprocessed measurement data. These models include both empirical models from the literature and trained using machine learning algorithms from sklearn. In a recent Master Thesis, a new simulation framework was developed in Python which could use the parametrized models for research and education in the drilling industry. Compared to the implementation in the paper, the new version will integrate several models from the literature to enable a more comprehensive simulation experience both for researchers and students. Upon successful completion of the project, the applicant will gain hands-on experience with a real-world problem in the area of mathematical and ML modeling. The results are also planned to be submitted in a scientific publication, so it is your chance to get your first paper published.
CFDEMcoupling-PFM(https://github.com/ParticulateFlow/CFDEMcoupling-PFM) is one of the most common Open Source solutions for the simulation of particles when using OpenFOAM for computational fluid dynamics. Unfortunately, the code is still on the nowadays not so recent OpenFOAM version 6. Beside compatibility issues this can also result in missed performance gains considering optimizations in more recent OpenFOAM versions. After a successful port to a more recent OpenFOAM version, it is the goal of the proposed research practical to answer the following research questions: - What are the achievable performance gains of the new version? - Are there further internal performance bottlenecks which could be addressed? - How can porting to future versions be simplified?
In flow loop experiments, I studied the damping of oscillations in a pipe subject to flow and particle transport. I recorded the movement with two GoPro Hero 9 cameras to have valuable absolute position data in addition to accelerations recorded by the Inertial Measurement Unit (IMUs) placed inside the inner pipe in the picture. A numerical simulation of this kind of problems coupling fluid, solid and particles is still considered very challenging. The numerical analysis in my PhD thesis(https://doi.org/10.21268/20241022-0) used OpenFOAM fork foam-extend(https://wikki.co.uk/index.php/foam-extend/) as a framework for fluid and solid using solids4foam(https://solids4foam.github.io/), and CFDEM®coupling-PUBLIC(https://github.com/CFDEMproject/CFDEMcoupling-PUBLIC) for coupling to the particle solver LIGGGHTS®-PUBLIC(https://github.com/CFDEMproject/LIGGGHTS-PUBLIC). Since then, most code development happened in the academic fork from the Department of Particulate Flow Modelling(http://www.jku.at/pfm) at Johannes Kepler University in Linz, Austria. This also has overcome large scaling issues in the PUBLIC version. The PFM version is currently based on OpenFOAM 6. Since the current implementation of LIGGGHTS in both versions considers a fixed solid boundary, the envisioned simulation is currently not feasible. After an initial verification, that a sample case correctly works with a deformable, the successful applicant will do a performance analysis of the resulting code. This should answer the following research questions: - Is it feasible to run simulations of solid, fluid and particles at different time steps? - What is the optimal way of interpolating between different time scales? - What is the achievable performance? - How can the current implementation be optimized in terms of performance? Upon successful completion of the project, the applicant will gain hands-on experience with a real-world problem in the area of numerical modeling using different frameworks in C++. The developed code is planned to be upstreamed, enabling simulations currently not possible even with many commercial simulation programs.
All publications as BibTex