| 杨 聪.半航空瞬变电磁自适应正则化-阻尼最小二乘算法研究[J].地质与勘探,2020,56(1):137-146 |
| 半航空瞬变电磁自适应正则化-阻尼最小二乘算法研究 |
| Study on semi-aerospace transient electromagnetic adaptive regularization-damped least squares algorithm |
| 投稿时间：2018-09-28 修订日期：2019-04-08 |
| DOI：10.12134/j.dzykt.2020.01.013 |
| 中文关键词: 反演 自适应正则化算法 阻尼最小二乘算法 半航空瞬变电磁 |
| 英文关键词: inversion, adaptive regularization algorithm, damping least squares inversion algorithm, semi-aerospace transient electromagnetic |
| 基金项目:国土资源公益性行业科研专项（编号：201311037）和中国地质调查局项目（编号：
DD20160017-05）联合资助 |
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| 中文摘要: |
| 反演问题一直是地球物理的重点研究问题之一。本文以长导线源半航空瞬变电磁为例对时间域半航空数据进行一维反演研究。将自适应正则化(ARIA)反演方法和阻尼最小二乘(LM)反演方法相结合，提出一种改进的反演方法：自适应正则化-阻尼最小二乘(ARIA-LM)反演算法。本文选用三层理论模型对比阻尼最小二乘算法、自适应正则化反演算法与本文方法，并使用四层理论地层模型来验证算法的有效性和可靠性。结果表明：该算法在一定程度上对高阻分辨率增强，能有效提高反演的精度及稳定性。 |
| 英文摘要: |
| Inversion has always been one of focused research issues in geophysics. This paper studies one-dimensional inversion of time domain semi-aerospace data by taking the long-wire source semi-aerospace transient electromagnetic as an example. Combining the adaptive regularization inversion method and the damping least squares inversion method, an improved inversion method is proposed: adaptive regularization-damping least squares inversion algorithm. This work chooses a three-layer theoretical model to compare the damping least squares algorithm, adaptive regularization inversion algorithm and the method proposed in this paper, and employs a four-layer model to test the effectiveness and robustness of our algorithm. The results show that the adaptive regularization-damping least-squares algorithm can enhance the resolution of high resistance, which can effectively improve the accuracy and stability of the inversion to some extent. |
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