Interpretation of gravity data using eigenimage with Indian case study: A SVD approach

A new technique for delineation of subsurface features using gravity eigenimage is proposed to separate the gravitational anomalies from its background. The singular value decomposition and multifractal method has been combined and tested on several synthetic gravity anomalies and also applied to field gravity dataset of Vindhyan basin in central India which is a promising area for petroleum exploration. The eigenimage of gravity data helps to understand the relationship between the geological structure and source of anomaly. Fault structure is the major structure and could be the principal contributor that differentiates the regional and local geo-anomalies in the studied region.