You are here:

Spatially constrained Bayesian inversion of frequency and time domain airborne electromagnetic data from the Tellus projects

Spatially constrained Bayesian inversion of frequency and time domain airborne electromagnetic data from the Tellus projects

Published:

This research has been carried under the Geological Survey Ireland 2015 Short Call. This call provided funding for researchers in academia or industry on the island of Ireland for projects of less than 12 months duration and less than €25,000. 

Disclaimer:  The views expressed in this report are those of the author(s) and not of Geological Survey Ireland or the Department of Climate Action, Communications and Environment.

Lead Applicant: Dr Volker Rath

Host: Dublin Institute for Advanced Studies

Project Title: Spatially constrained Bayesian inversion of frequency  and time domain airborne electromagnetic data from the Tellus projects

Project Description: A novel method for interpreting electromagnetic data from the Tellus surveys with 1-D layered subsurface models is developed, implemented in an open-source code, and tested on field data. Using Bayesian techniques and spatial constraints, the approach delivers estimates of uncertainty along with preferred conductivity-depth models for each site.

Report