Research on Inversion of Gravity Tensor Based on PSO
详细信息
- 责任者：Sun Zhongke (Earth Science Information Physics and Engineering ; Central South University ; Changsha 410083 ; China) ; Zhu Ziqiang
- 刊名：Computing Techniques for Geophysical and Geochemical Exploration
- 出版年：2013
- 卷期：35(2)
- 关键词：重力勘探 ; gravity exploration
- 页码：p.128-133
- 图表：illus., 25 refs.
- 分类号：1600
- issnNo：ISSN1001-1749
- isbnNo：CN51-1242/P
摘要
Gravity gradient tensor is the second derivative of gravity position,compared with the conventional Bouguer gravity anomaly,which reflects the underground density anomalies for higher sensitivity and more accurately reflect the field directly to the source body boundaries.However,a single tensor inversion data is easy to lose useful information resulting in an incorrect interpretation of information.The full tensor inversion of gravity gradient tensor with five independent components of all joint inversion interpretation is proposed,a more comprehensive multi-component field source information.Compared to a single gravity tensor inversion and the traditional sense of the Bouguer gravity anomaly inversion,the inversion results by the proposed methods show the higher resolution,and better capability to identify the field source characteristics.PSO is an iterative optimization based on swarm intelligence algorithm,and this paper will use the particle swarm algorithm for single-component tensor gravity,Bouguer gravity anomaly and full tensor inversion respectively,and give a brief analysis of the results.