Finding Geology Structures in Depth Sections from Airborne Geophysics: Automatic workflows

The explosion in new airborne electro-magnetic surveys is creating the need for less cutting of corners, better honouring of the known physics in the algorithms, proper use of all the system monitors. The importance of a 'good' starting model in a deterministic, iterative, non-linear inversion, such as that provided by the 2.5D Moksha code, has been recognised for many years. This study touch bases on two project scale examples that collected by the same aircraft. Clearly in the context of an emerging continent wide AEM campaign to acquire prospective surveys the implications fort these developments are critical, in that these tools can also manage complete surveys, no matter what line length are involved. This concentration of predicting geology structures in depth sections has demonstrated the ability to identify possible exploration targets and map steeply dipping and folded geology in a deformed terrane. Equally important is then to create workflows and visualization toolkits to help interpreters, no matter what scale, or which aspect of geology or rock properties they wish to interrogate. The lase-fare situation of accepting sub-optimal methods for estimating potential field gradients has plagued, and held back, the successful use of potential field geophysics for too many years now. Almost all interpretation methods are based upon estimating these gradients.