Science report
| 
01 Dec 2020
Science report |
| 01 Dec 2020
| 01 Dec 2020
Geohazard detection using 3D seismic data to enhance offshore scientific drilling site selection
Department of Earth and Environmental Sciences, University of Manchester, Williamson Building, Oxford Road, Manchester, M13 9PL, UK
Paul C. Knutz
Geological Survey of Denmark and Greenland, Øster Voldgade 10,
1350 Copenhagen K, Denmark
D. Calvin Campbell
Geological Survey of Canada (Atlantic), Natural Resources Canada,
Dartmouth, Nova Scotia B2Y 4A2, Canada
John R. Hopper
Geological Survey of Denmark and Greenland, Øster Voldgade 10,
1350 Copenhagen K, Denmark
Andrew M. W. Newton
Department of Earth and Environmental Sciences, University of Manchester, Williamson Building, Oxford Road, Manchester, M13 9PL, UK
School of Natural and Built Environment, Elmwood Building, Queen's
University Belfast, University Road, UK, BT7 1NN, UK
Mads Huuse
Department of Earth and Environmental Sciences, University of Manchester, Williamson Building, Oxford Road, Manchester, M13 9PL, UK
Karsten Gohl
Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung, Bremerhaven, Germany
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We assemble all available geothermal heat flow measurements collected in and around Greenland into a new database. We use this database of point measurements, in combination with other geophysical datasets, to model geothermal heat flow in and around Greenland. Our geothermal heat flow model is generally cooler than previous models of Greenland, especially in southern Greenland. It does not suggest any high geothermal heat flows resulting from Icelandic plume activity over 50 million years ago.
Andrew M. W. Newton and Donal J. Mullan
The Cryosphere, 15, 2211–2234, https://doi.org/10.5194/tc-15-2211-2021, https://doi.org/10.5194/tc-15-2211-2021, 2021
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Andrew M. W. Newton, Mads Huuse, Paul C. Knutz, and David R. Cox
The Cryosphere, 14, 2303–2312, https://doi.org/10.5194/tc-14-2303-2020, https://doi.org/10.5194/tc-14-2303-2020, 2020
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Seismic reflection data offshore northwest Greenland reveal buried landforms that have been interpreted as mega-scale glacial lineations (MSGLs). These have been formed by ancient ice streams that advanced hundreds of kilometres across the continental shelf. The stratigraphy and available chronology show that the MSGLs are confined to separate stratigraphic units and were most likely formed during several glacial maxima after the onset of the Middle Pleistocene Transition at ~ 1.3 Ma.
Robert McKay, Neville Exon, Dietmar Müller, Karsten Gohl, Michael Gurnis, Amelia Shevenell, Stuart Henrys, Fumio Inagaki, Dhananjai Pandey, Jessica Whiteside, Tina van de Flierdt, Tim Naish, Verena Heuer, Yuki Morono, Millard Coffin, Marguerite Godard, Laura Wallace, Shuichi Kodaira, Peter Bijl, Julien Collot, Gerald Dickens, Brandon Dugan, Ann G. Dunlea, Ron Hackney, Minoru Ikehara, Martin Jutzeler, Lisa McNeill, Sushant Naik, Taryn Noble, Bradley Opdyke, Ingo Pecher, Lowell Stott, Gabriele Uenzelmann-Neben, Yatheesh Vadakkeykath, and Ulrich G. Wortmann
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The Cryosphere, 12, 2039–2050, https://doi.org/10.5194/tc-12-2039-2018, https://doi.org/10.5194/tc-12-2039-2018, 2018
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The calving line location of the Pine Island Glacier did not show any trend within the last 70 years until calving in 2015 led to unprecedented retreat. In February 2017 we accessed this previously ice-shelf-covered area with RV Polarstern and mapped the sea-floor topography for the first time. Satellite imagery of the last decades show how the newly mapped shoals affected the ice shelf development and highlights that sea-floor topography is an important factor in initiating calving events.
K. Hochmuth, K. Gohl, G. Uenzelmann-Neben, and R. Werner
Solid Earth Discuss., https://doi.org/10.5194/sed-6-1863-2014, https://doi.org/10.5194/sed-6-1863-2014, 2014
Revised manuscript not accepted
F. O. Nitsche, K. Gohl, R. D. Larter, C.-D. Hillenbrand, G. Kuhn, J. A. Smith, S. Jacobs, J. B. Anderson, and M. Jakobsson
The Cryosphere, 7, 249–262, https://doi.org/10.5194/tc-7-249-2013, https://doi.org/10.5194/tc-7-249-2013, 2013
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Short summary
A workflow is presented that uses 3D subsurface image (seismic) data to identify and avoid potential geological hazards, in order to increase safety and minimize the risk associated with selecting offshore scientific drilling locations. The workflow has been implemented for a scientific drilling expedition proposal within a challenging region offshore north-western Greenland and resulted in an improved understanding of subsurface hazards and a reduction of risk across all selected drill sites.
A workflow is presented that uses 3D subsurface image (seismic) data to identify and avoid...
