Please use this identifier to cite or link to this item: http://hdl.handle.net/2122/9481
AuthorsOldenborger, G. A.* 
Logan, C. E.* 
Hinton, M. J.* 
Sapia, V.* 
Pugin, A. J. M.* 
Sharpe, D. R.* 
Calderhead, A. I.* 
Russel, H. A. J.* 
Title3D Hydrogeological Model Building Using Airborne Electromagnetic Data
Issue DateSep-2014
Series/Report no.2014
DOI10.3997/2214-4609.20142011
URIhttp://hdl.handle.net/2122/9481
KeywordsHydrogeological modeling, 3D modeling, airborne electromagnetic; Cognitive modelling
Subject Classification04. Solid Earth::04.02. Exploration geophysics::04.02.99. General or miscellaneous 
04. Solid Earth::04.04. Geology::04.04.99. General or miscellaneous 
05. General::05.01. Computational geophysics::05.01.01. Data processing 
05. General::05.01. Computational geophysics::05.01.03. Inverse methods 
05. General::05.01. Computational geophysics::05.01.05. Algorithms and implementation 
AbstractWe develop a 3D geological modelling procedure supported by the combination of helicopter time-domain electromagnetic data, seismic reflection data, and water well records for the Spiritwood buried valley aquifer system in Manitoba, Canada. Our procedure is an innovative hybrid of knowledge-driven and data-driven schemes that provides a clear protocol for incorporating different types of geophysical data into a 3D stratigraphic model framework. The limited spatial density of water well bedrock observations precludes detection of the buried valley bedrock topography and renders the water well records alone inadequate for accurate hydrogeological model building. The expert interpretation of the geophysical data allows for leveraging of a spatially extensive dataset with rich information content that would be otherwise difficult to utilize for lithostratigraphic classification.
Appears in Collections:Papers Published / Papers in press

Files in This Item:
File Description SizeFormat 
Oldenborger_ EAGE_ 2014.pdfMain article2.5 MBAdobe PDFView/Open
Show full item record

Page view(s)

117
Last Week
0
Last month
0
checked on Jul 25, 2017

Download(s)

82
checked on Jul 25, 2017

Google ScholarTM

Check

Altmetric