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Deriving Interpretation Attributes from AEM Surveys Using the Continuous Wavelet TransformNormal access

Author: N.B. Christensen
Event name: Second European Airborne Electromagnetics Conference
Session: Data Visualization, Integration and Interpretation
Publication date: 03 September 2017
DOI: 10.3997/2214-4609.201702168
Organisations: EAGE
Language: English
Info: Extended abstract, PDF ( 589.87Kb )
Price: € 20

The planning, contracting, data acquisition and processing plus the inverter's quality assessment and inversion of a regional airborne electromagnetic (AEM) survey may take a few months while the interpretation is considerably more complex and comprehensive process. Most often an interpretation necessitates additional data that are more time consuming to collect and considerably more complicated to integrate into an overall model, e.g. borehole logs, borehole core samples, water chemistry, surface vegetation, satellite imagery plus the generally accepted geological background knowledge. Interpretation basically has to do with identifying categories and finding boundaries between them so that depths, thicknesses, and a whole range of other model attributes can be quantitatively estimated. In this abstracts I will present two methods of finding attributes intended to assist the interpreter using the Continuous Wavelet Transform: One finds layer boundaries in the smooth multi-layer models that are most often used in the inversion of large data sets; and the other finds the natural categories of the model parameter. Naturally, being based on the subsurface conductivity distribution, the boundaries and categories suggested are useful only to the extent that they coincide with geological/hydrogeological boundaries and categories - which is for the interpreter to decide.

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