3D seismic

3D seismic datasets underpin research into structural settings, depositional environments and tectonic, sedimentary and climate-driven processes at regional and local scales. Seismic data is incorporated into broader projects including theoretical geophysical techniques, digital outcrop analogues and high resolution climate change.

3D seismic data provides the framework for projects spanning tectonics, sedimentary and igneous processes, and the response of marine and terrestrial systems to climate change.

We have over 50 datasets from NW and Mediterranean Europe, North Africa, Central and SE Asia, Central America and the Gulf of Mexico. Totalling over 5 Terabytes, these datasets are used in conjunction with high resolution seafloor and satellite imagery, digital outcrop data and marine geophysical datasets in projects which provide multidiscplinary approaches to Earth systems.

The understanding of physical processes is a large component in each of our research areas and to this end our seismic data provides the starting point for several workflows. These incorporate DEM analysis of interpreted surfaces, numerical modelling of fault populations, accomodation of depositional sequences and the response of sedimentary systems to climate over long (e.g. Jurassic and Neogene) and short (e.g. the most recent glaciation) periods.

Seismic data is used in geophysical investigations to constrain rock physics models for Palaeozoic magmatism in North Africa and channel systems in North Africa and Sicily.

None of this work would be possible without the donations and support from a range of software vendors and we would like to thank:

  • Schlumberger Geoquest: Geoframe, Petrel and Inside Reality
  • Paradigm Geophysical: VoxelGeo
  • Foster Findlay: SVI Pro
  • Roxar: Irap RMS
  • Rivix: Rivertools
  • dGB: opendTect

Our data is made available from industrial operators including:

BP, BG, Statoil, Wintershall, Anadarko, Shell, ChevronTexaco, Amerada Hess, Encana, PetroCanada, ExxonMobil

As well as developing a lot of our own in-house applications, we also make extensive use of Matlab, ArcGIS, GMT, IDL, and Google Earth in our subsurface and surface data analyses.

Contact: mads.huuse@manchester.ac.uk

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