基于Tanimoto相似的重力异常相关成像方法研究

doi:10.11720/wtyht.2019.0163

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Abstract

The correlation imaging method is mainly used to solve the location of anomalous source space, but its imaging results are not ideal, and there is divergence in the longitudinal direction. Due to the confirmatory effect of forward modeling on imaging, this paper designs a simple model and multiple anomaly source overlay models. The traditional imaging methods based on Pearson similarity algorithm and cosine similarity algorithm are studied. It is pointed out that Pearson similarity is used to calculate gravity anomalies in traditional correlation imaging. The phenomenon of false anomalies occurs, the related imaging based on Tanimoto similarity is proposed, and the kernel function is improved for the algorithm. The research shows that the method proposed in this paper has an improved vertical and horizontal resolution of the source compared with the traditional correlation imaging method, and the abnormal source form outlines the accurate features, which provides powerful information for the interpretation of gravity data.

Key words： gravity anomaly Tanimoto similar kernel function false anomaly source windowing

Received: 25 March 2019 Published: 28 November 2019

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	Articles by authors
	Ying-Shun WANG
	Jun LI
	Xing-Xiang JIAN

Cite this article:

Ying-Shun WANG,Jun LI,Xing-Xiang JIAN. Research on gravity anomaly correlation imaging method based on Tanimoto similarity[J]. Geophysical and Geochemical Exploration, 2019, 43(6): 1350-1357.

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https://www.wutanyuhuatan.com/EN/10.11720/wtyht.2019.0163 OR https://www.wutanyuhuatan.com/EN/Y2019/V43/I6/1350

Abnormal source calculation in Cartesian coordinate system,

related grid computing

Model forward results

2D model and its imaging results

Imaging results and profiles

Multiple abnormal source parameters

Complex model imaging results

Extracting sub-domain Tanimoto related imaging algorithm flow
(Where k is the threshold probability, which is 0.8 in this example)

3D model parameters

3D model and forward profile

3D model forward and imaging results
a—model forward performance; b—Depth=2 m profile imaging result; c—Depth=20 m profile imaging result; d—x=-16 m imaging result; e—x=0 m profile imaging result; f—x=16 m profile imaging results; g—y=-5 m profile imaging results; h—y=0 m profile imaging results; i—y=5 m profile imaging results

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