Focusing iterative migration of gravity gradiometry data acquired in the Nordkapp Basin, Barents Sea

• Published in: Geophysical Prospecting
• Main Authors: Xu, Zhengwei, Wan, Le, Zhdanov, Michael S.
• Other Authors: University of Utah, University of Houston, Russian Science Foundation
• Format: Article in Journal/Newspaper
• Language: English
• Published: Wiley 2020
• Subjects: Barents Sea; Nordkapp; Nordkapp Basin
• Online Access: http://dx.doi.org/10.1111/1365-2478.12990; https://api.wiley.com/onlinelibrary/tdm/v1/articles/10.1111%2F1365-2478.12990; https://onlinelibrary.wiley.com/doi/pdf/10.1111/1365-2478.12990; https://onlinelibrary.wiley.com/doi/full-xml/10.1111/1365-2478.12990

ABSTRACT Geological interpretation based on gravity gradiometry data constitutes a very challenging problem. Rigorous 3D inversion is the main technique used in quantitative interpretation of the gravity gradiometry data. An alternative approach to the quantitative analysis of the gravity gradiometry data is based on 3D smooth potential field migration. This rapid imaging approach, however, has the shortcomings of providing smooth images since it is based on direct integral transformation of the observed gravity tensor data. Another limitation of migration transformation is related to the fact that, in a general case, the gravity data generated by the migration image do not fit the observed data well. In this paper, we describe a new approach to rapid imaging that allows us to produce the density distribution which adequately describes the observed data and, at the same time, images the structures with anomalous densities having sharp boundaries. This approach is based on the basic theory of potential field migration with a focusing stabilizer in the framework of regularized scheme, which iteratively transfers the observed gravity tensor field into an image of the density distribution in the subsurface formations. The results of gravity migration can also be considered as an a priori model for conventional inversion subsequently. We demonstrate the practical application of migration imaging using both synthetic and real gravity gradiometry data sets acquired for the Nordkapp Basin in the Barents Sea.