Selection of deep borehole from south and central Australia to reconstruct Last Glacial Maximum temperature history

Authors(2) :-Asadusjjaman Suman, Farnaz Akther

We analysed six deep boreholes temperature data from southern and central Australia to understand downhole temperature characteristics for inversion and to reconstruct Last Glacial Maximum (LGM) temperature histories. Analysis shows, most of the deep boreholes are not suitable for inversion to reconstruct long term temperature history. Variation in the sub-surface lithology is the main driver for not picking up climate signal from these boreholes. However, borehole is drilled in homogeneous lithology shows promise to reconstruct long term temperature history. Blanche 1 borehole from central Australia was identified as being of high quality, with a very low area misfit of ~0.001 m2/m, thus enabling for inversion to reconstruct temperature history since about LGM. Drill a deep borehole is a costly operation, thus it is recommended to select a deep borehole site carefully in homogeneous rock based on details survey in the sub-surface lithology.

Authors and Affiliations

Asadusjjaman Suman
Institute for Applied Ecology, University of Canberra, Canberra, Australia, Department of Agricultural Engineering, Patuakhali Science and Technology University, Patuakhali, Bangladesh
Farnaz Akther
Faculty of Science and Technology, University of Canberra, Canberra, Australia

Boreholes, Lithology, Thermal conductivity, Central Australia

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Publication Details

Published in : Volume 4 | Issue 10 | September-October 2018
Date of Publication : 2018-10-30
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 225-234
Manuscript Number : IJSRSET1841044
Publisher : Technoscience Academy

Print ISSN : 2395-1990, Online ISSN : 2394-4099

Cite This Article :

Asadusjjaman Suman, Farnaz Akther, " Selection of deep borehole from south and central Australia to reconstruct Last Glacial Maximum temperature history , International Journal of Scientific Research in Science, Engineering and Technology(IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 4, Issue 10, pp.225-234, September-October-2018. Available at doi :
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