CASP research is organised into projects, typically of 24-month duration, with a focus on basin-specific, regional or generic scientific problems. We design these research projects in collaboration with industry subscribers and scientific partners so that they have the maximum possible scientific and commercial impact.
Research results are issued to subscribers via confidential reports that typically include the integration of field data with a broad range of sample analyses, literature syntheses, regional tectonostratigraphic compilations, palaeogeographic maps, and integrated biostratigraphy.
Data packages comprise report compilations selected to provide insight into specific regional or thematic topics, representing excellent value compared to purchasing reports individually.
Virtual outcrop models form an increasingly important data source to augment traditional field research and enable CASP to provide cost-effective virtual field trips for key areas.
CASP houses a geological collection of over 35,000 specimens within a state-of-the-art rock storage facility accessible to industry and academia. Data derived from the analysis of these samples form part of an increasingly standardised and integrated dataset. The CASP library is a unique resource, containing – amongst other hard-to-find literature – irreplaceable Arctic, Russian and Chinese publications, including maps, stratigraphic columns and some 6,000 Russian translations. Members of the CASP consortium are entitled to library access.
- Joining CASP
- How Projects are Designed
- Project History
- Black Sea Project 2019-2021
- Flood Basalt Impact on Hydrocarbon Systems Project 2019-2021
- Dinarides-Hellenides Project 2018-2020
- Late Cretaceous Arctic Source Rock Project 2018-2019
- Barents Shelf Provenance Project 2017-2019
- Uralian Provenance Project 2017-2019
- North Atlantic Margins Evolution Project (NAME) 2017-2019
- Flood Basalt Impact on Hydrocarbon Systems Project 2016-2018
- Black Sea Project 2016-2018
- Data Packages
- Virtual Outcrop Models
- Geological Collections and Data