CSD Winter School 2023
The Center for Modeling of Coupled Subsurface Dynamics 2023 Winter School is a multi-disciplinary training program for PhD candidates and early career scientists in mathematics, earth science and related fields.
Date: March 13-17, 2023
Location: Myrkdalen Hotel, Voss
Interested participants can now apply for admission. Deadline for applications are December 1st.
Main Instructor: Professor Hamdi Tchelepi, Stanford University
Application Deadline: December 1st, 2022
ECTS: 2 (Estimated workload 25-30 hours per ECTS)
Background and objective:
Subsurface technologies are important for our energy systems and for mitigating the climate problem. These technologies require that we understand and can control processes involving injection and extraction of fluids in the underground. The main objective of the Winter school is to introduce participants to problems at the research front in modeling and simulation of deformable porous media related to subsurface technologies.
An important role of scientists is to disseminate and discuss relevant research results and scientific questions with stakeholders. These include politicians, NGOs, industry, peers, and the public. Proposed solutions for energy storage and carbon sequestration in the subsurface are promising technologies. However, they also contain associated risks. Examples of such risks are leakage, induced seismicity, groundwater contamination, and cross coupling between reservoirs at larger scales, all due to fluid injection and extraction.
It is important - and challenging - to communicate risks and possible mitigation strategies of new and possibly controversial technologies. The Winter school will address expectations to, and skills needed by, the next generation of scientists, particularly in a context of the political and ethical discourse related to energy safety and climate change.
The winter school will be composed of three modules focused on research challenges (70%), political and ethical perspectives (15%) and soft skills (15%). The research challenges module will address mathematical modelling and simulation, CO2 sequestration and energy storage and risks such as induced seismicity and CO2 leakage. The political and ethical perspectives module will include activities related to policy-making and science communication. The soft skills module will focus on career development and how to succeed in academia.
The teaching during the winter school with be a combination of lectures and student assignments to be completed in groups. Preparatory reading will be assigned before the winter school.
On completion of the winter school the participants should have the following learning outcomes defined in terms of knowledge, skills, and general competence:
- Insights into new and outstanding challenges in the mathematical modelling and computational simulations of subsurface processes.
- Knowledge of mathematical modelling of relevant physical and chemical processes which may lead to induced seismicity or other risks due to subsurface engineering.
- Knowledge of computational challenges in the simulations of these processes.
- Knowledge of research directions and open questions in the fields of energy storage and carbon sequestration.
- Perform simulations based on PorePy.
- Evaluate and choose between different numerical methods.
- Present and discuss opportunities and challenges related to subsurface technologies.
- By hosting a diverse group of graduate students and young scientists from different fields, the participants will be trained in interdisciplinary teamwork
.Participants will obtain an improved understanding of their role as a scientist in the society by discussing political and ethical questions related to energy extraction and storage in the subsurface and will be given insights into career development for young scientists.
Required Previous Knowledge:
The participants are expected to be at graduate or post-graduate level and have a good understanding of mathematical tools used in modelling in the subsurface. The participants will be provided with relevant reading material on the mathematical and computational challenges involved in the induced seismicity. This preparation will entail on average 20 hours working time.
Compulsory Assignments and Attendance:
Participation in all sessions of the winter school is mandatory. When parallel sessions, the participants will be assigned to a relevant session.
After the winter school, participants must hand in a written report, a video or a podcast on a topic involving energy storage or carbon sequestration. The assignment can be done in teams of 2-3 participants with a statement from each participant on how the work was performed. The assignments will be uploaded on the Winter school website hosted at the Vista Center.
Forms of Assessment:
Assessment will be based on active participation in the winter school and on the written assignment, video or podcast submitted after the Winter school.
Pass or fail.
Myrkdalen Hotel has a perfect location with ski in – ski out access to the largest ski resort in Western Norway and 28 km of groomed cross-country trails.
For more information about the venue, go to Myrkdalen hotel website.
There will be a bus from Allégaten 41, Bergen to Myrkdalen hotel departuring at 09:15 on monday 13/03. Departure from Myrkdalen hotel back to Bergen is at 13:00 on friday 17/03. This organized buss transportation is free of charge.
For those that are arriving in Voss by train, Myrkdalen hotel have a free ski bus with daily departures from Voss Station to Myrkdalen.
More information regarding travelling by train.
There is a ski rental in Myrkdalen. They rent both cross-country and alpine skis, as well as snowboard.
The CSD Winter School 2023 has a limit of 60 participants. To be admitted to the event you must fill in an admission form by December 1st, 2022. Follow this link to the admission form.
Admitted participants will be informed by mid-January. To register for the winter school after admission there will be a fee of €100. The admission fee includes accommodation at Myrkdalen Hotel, meals, transportation and a ski pass.
- Hamdi Tchelepi (Stanford University, USA)
- Maarten de Hoop (Rice University, USA)
- Mathilde Sørensen (University of Bergen, Norway)
- Ivar Stefansson (University of Bergen, Norway)
- Volker Oye (NORSAR, Norway)
- Jan Nordbotten (University of Bergen, Norway)
- Martin Fernø (University of Bergen, Norway)
- Rainer Helmig (University of Stuttgart, Germany)
- Kundan Kumar (University of Bergen, Norway)
- Sarah Gasda (NORCE, Norway)
- Jakub Both (University of Bergen, Norway)
- Kenneth Ruud (University of Tromsø, Norway)
- Helge Dahle (University of Bergen, Norway)
- Eirik Keilegavlen (University of Bergen, Norway)
- Lars Öttemoller (University of Bergen, Norway)
- Inga Berre (University of Bergen, Norway)