Improvement of Resistivity Imaging for an Offshore CO2 Storage by Filtering Out Seabed Pipeline Influence

On behalf of NGI, under FME SUCCESS, an MSc thesis at the University of Oslo has been conducted to finalize an inversion study of a CSEM dataset acquired in 2008 for the Sleipner CO2 storage project. The aim of the MSc thesis was to establish an inversion strategy that can be applied in order to resolve some of the various challenges related to inverting the dataset. This paper presents some of the work done related to the influence on the CSEM data from a pipeline network at seabed, with the objective of establishing a method to identify and filter out strongly influenced data, in order to improve inversion results.