Iterative migration of gravity and gravity gradiometry data at Bathurst Mining Camp
- DOI
- 10.2991/iceeg-16.2016.2How to use a DOI?
- Keywords
- migration, gravity gradiometry, imaging, inversion
- Abstract
Three-dimensional (3D) inversion of full tensor gradiometry (FTG) data continues to be an active area of research and development. We have recently developed a method of potential field migration, which extends to the case of the potential field the general principles of seismic and electromagnetic migration. This new approach provides a rapid method for direct transformation of observed gravity and gravity gradient data into spatial distributions of density. We demonstrate in this paper that migration can be applied iteratively to get more accurate subsurface distributions of the physical properties of rocks. We show that, the iterative migration is practically equivalent to the basic gradient-type inversion algorithms with one very important difference: the gradient directions on each iteration are determined by migration of the corresponding gravity, and gravity gradient data. This is significant because the last transformation is very well developed in the theory of potential field interpretation. In other words, the iterative migration makes it possible to use the powerful and stable technique of upward continuation for the solution of the inverse problem. We present a model study and a case study for the 3D iterative imaging of FTG data from New Brunswick, Canada
- Copyright
- © 2016, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Wan Le AU - Michael S. Zhdanov PY - 2016/06 DA - 2016/06 TI - Iterative migration of gravity and gravity gradiometry data at Bathurst Mining Camp BT - Proceedings of the 7th International Conference on Environment and Engineering Geophysics & Summit Forum of Chinese Academy of Engineering on Engineering Science and Technology PB - Atlantis Press SP - 4 EP - 7 SN - 2352-5401 UR - https://doi.org/10.2991/iceeg-16.2016.2 DO - 10.2991/iceeg-16.2016.2 ID - Le2016/06 ER -