Novel methods for the handling of drilling/exploration data
15 June 2020 - 19 June 2020
Purpose and intended learning outcomes
This course will teach how the data from exploration campaigns can be curated and archived in an efficient way, including an integrated interpretation of these data.
The student will:
- gain a deep understanding of the data life cycle and how to treat data in order to generate value and knowledge in the short and long term.
- get insights into innovative technologies for core description (CT scans, hyperspectral analysis) in context with Big Data processing.
- understand the principles of modern data curation and archiving, e.g. keywords open data, FAIR (findable, accessible, interoperable, reusable) data, linked data.
- get knowledge about the advantage of freely accessible data in scientific and non-scientific environments.
- learn to utilize relevant data sources as user and data provider.
- integrate data sets, e.g. for depth matching and core-log-seismic integration.
Prerequisites (academic, special skills needed)
Participation in 3.1 and 3.2, or background in exploration drilling including basic knowledge in core and sample handling.
Schedule and time plan
15. – 19.06.2020
Venue for classroom/lab work
Potsdam (Geoforschungszentrum) and Berlin (BGR core storage)
Content and modules
- Introduction to data acquisition at the drill site
- Processing, curation and archiving
- Core repositories
- Curation DIS (Drilling Information System)
- The International GeoSample Number (IGSN) unique identifier (in-depth)
- Advanced scientific instrumentation at core repositories (MSCL, XRF, CT, LIBS)
- Data integration and interpretation
- Rock classification matching probabilistically
- New samples against canonical samples (artificial intelligence approach)
- Core-log and core-log-seismic integration
- Data archiving, release, publication and accessibility
- Data and metadata standards/formats and data preparation
- Basic concepts: open data, FAIR data, linked data
- Data archives (data and metadata standards/formats and data preparation, data release, publication and accessibility, data centres, portals, services)
Instruction and course literature
No specific literature to be read prior to the course. Documentation will be distributed during the course in the form of PowerPoint decks.
Assessment
Exercises, report and evaluation of exercises
Course responsible teachers
Ronald Conze (GFZ Potsdam), Thomas Wiersberg (GFZ Potsdam)
Practicalities
Application criteria and priority
- A diverse mix of participants is desired.
- Priority will be given to students affiliated with EIT RawMaterials organizations, but applications are welcomed from other academic institutions and industry.
- Course size is limited to 16 participants.
- Apply here.
Accommodation (room and board)
Approximate accommodation costs in Potsdam/Berlin: 50 Euros per day
Travel
Travel to Potsdam is best via Berlin. Travel during the course between Potsdam and Berlin will be organized by course leaders.
S+H, insurance, Safety equipment and clothing
not applicable
Course stipends
Successful admissions will be considered for a stipend to offset costs of accommodation and food, and when possible travel. As a requirement, the stipends are awarded to participants that are registered for all courses within one theme. Applicants that intend only to participate in a single course (or two courses) within one theme will not be considered for stipends. There is no registration fee to participate in courses offered through I-EDDA-RS.