Research and development project for Concedo

Expires
Education level
Started bachelor/master (1.-3. yr)
Started master (4.-5. yr)
Completed Bachelors degree
Completed Masters degree
Field of study
Mathematics, Physics, and Nanotechnology
Geology, Geomatics, and Petroleum Sciences
Computer Science and Information Technology
Type
Internship / Trainee
Work place
Remote work
Responsibilities
IT – Development and Design
Consulting/Counselling
Technology- and Product development
Other tasks
County
All of Norway
How to apply

 

Start: April 2021

End: May/June 2021

Duration: 8-12 weeks, 15 hours per week

Team: 3 students  

 

The project initiated by Concedo is facilitated through The Innovation Effect's learning and innovation program. The students who participate work in interdisciplinary teams on solving real challenges for the company, with the mandate to innovate and present new ideas. The goal of the program is to stimulate learning and co-creation between young creative minds and innovative companies. The project is paid, part-time with flexible workhours, and is compatible with full-time studies and other part-time jobs. All project work and meetings will be carried out digitally.  

 

About the project:

Concedo AS is a Norwegian oil company focusing on exploration activities on the Norwegian Continental Shelf. One of the company's key activities is the collection and analysis of 3D seismic data, illustrating the geological structures and layers in the earth's subsurface. But seismic images can be difficult to interpret, as they usually become quite blurred. Now, Concedo is looking for an interdisciplinary student team to help explore a new possibility within seismic inversion. The main objective of the project is to help Concedo to produce sharper seismic images through inversion with 3D point spread function (PSF). This method enables a reconstruction of the images' spike trains illustrating the geological layers, making it easier to identify possible oil and gas deposits.  

 

The student team will be tasked with the following key activities:

  • Development of an algorithm in Python/Matlab with the purpose to automatically estimate, and then remove/optimize, the PSF from Concedo's seismic images
  • Testing of the algorithm v.1 on seismic datasets and models, with the aim to further adjust the code and develop a v.2 with improved performance
  • Market and technology research, mapping cutting-edge technologies from other disciplines where similar PSF algorithms have proven successful, like astrophysics and medicine
  • Development of a final report with strategic recommendations for Concedo's further work

With guidance and mentoring from The Innovation Effect (TIE), the students will be responsible for project management and planning, completing the project tasks and activities, and the delivery of a final report to Concedo. The team will also participate in digital project meetings and a mini workshop with Concedo and TIE, and prepare presentations for the meetings.

 

We seek last-year bachelor students or master students with the following competence:

  • Geophysics – petroleum geophysics, seismic, geophysical/seismic inversion
  • Mathematics – optimization, programming, Python/Matlab
  • Physics – wave physics, Fourier transform  

 

Application deadline: 22. March 2021 – but we are recruiting continuously!

 

Apply by registering your profile through our recruitment platform here. If you have any questions regarding the project, please send an email to siv@theinnovationeffect.com.

Education
Applied Computer Science
Computer Engineering
Computer Science
Digital Business Development
Digital Infrastructure and Cyber Security
Digital Collaboration
Electronics Systems Design and Innovation
Computational Color and Spectral Imaging (COSI)
Physics
Physics and Mathematics
Geology
Geomatics
Geotechnics and Geohazards
Industrial Cybernetics
Information Technology
Information Security
Informatics
Engineering and ICT
Embedded Computing Systems
Communication Technology
Cybernetics and Robotics
Marine and Maritime Intelligent Robotics
Mathematical Sciences
Materials Science and Engineering
Nanotechnology
Natural Gas Technology
Oil and Gas Technology
Petroleum Geosciences and Engineering
Programming
Security and Cloud Computing
Simulation and Visualization
Geotechnology
Webdesign
Web Development