期刊文献+
共找到2篇文章
< 1 >
每页显示 20 50 100
3D joint inversion of surface and borehole gravity data using zeroth-order minimum entropy regularization 被引量:2
1
作者 Peng Guo-Min Sun Zhong-Yu Liu Zhan 《Applied Geophysics》 SCIE CSCD 2021年第2期131-144,272,共15页
Surface and borehole gravity data contain complementary information.Thus,the joint inversion of these two data types can help retrieve the real spatial distributions of density bodies.When a sharp boundary exists betw... Surface and borehole gravity data contain complementary information.Thus,the joint inversion of these two data types can help retrieve the real spatial distributions of density bodies.When a sharp boundary exists between an anomalous density body and its surrounding rock,the interface recovered by smooth inversion with Tikhonov regularization is not clear,leading to difficulties in the subsequent geological interpretation.In this work,we develop a joint inversion of surface and borehole gravity data using zeroth-order minimum entropy regularization.The method takes advantage of the complementary information from surface and borehole gravity data to enhance the imaging resolution of density bodies.It also produces a focused imaging of bodies through the zeroth-order minimum entropy regularization without requiring a preselection of a proper focusing parameter.We apply the developed joint inversion approach to three diff erent synthetic data sets.Inversion results show that the focusing inversion with the zeroth-order minimum entropy regularization provides a good description of the true spatial extent of anomalous density bodies.Meanwhile,the joint focusing inversion reconstructs a more reliable density model with a relatively high resolution when a density body is passed through by one or more boreholes. 展开更多
关键词 gravity anomaly surface gravity borehole gravity joint inversion zeroth-order minimum entropy regularization
在线阅读 下载PDF
基于q-高斯分布和零阶最小熵正则化的三维重力聚焦反演 被引量:8
2
作者 彭国民 刘展 《地球物理学报》 SCIE EI CAS CSCD 北大核心 2022年第5期1866-1882,共17页
观测的重力数据通常含有误差,传统的三维重力反演方法假设数据残差服从高斯分布,数据误差的大小和可靠估计对于三维重力反演的精度和可靠性是非常重要的.在模型正则化方面,传统的三维重力反演主要是基于Tikhonov正则化理论来获得稳定解... 观测的重力数据通常含有误差,传统的三维重力反演方法假设数据残差服从高斯分布,数据误差的大小和可靠估计对于三维重力反演的精度和可靠性是非常重要的.在模型正则化方面,传统的三维重力反演主要是基于Tikhonov正则化理论来获得稳定解,但是当地下密度异常体存在尖锐边界时,基于L_(2)范数正则化的三维重力反演得到的密度异常体边界比较平滑,这给后续的地质解释带来一定的困难.为此,本文提出了一种基于q-高斯分布和零阶最小熵正则化的三维重力聚焦反演方法,该方法不需要估计数据误差,且对较大数据误差的敏感性较弱,同时能够获得聚焦反演结果,且不需要确定合理的聚焦参数.理论模型测试表明,本文提出的三维重力聚焦反演方法得到的反演模型具有聚焦效果,能够较好地刻画异常体边界和密度值,且对含有较强干扰的重力数据具有一定的适用性.将本文方法应用于墨西哥圣尼古拉斯矿区的实测重力数据,反演得到的硫化物矿体与已知资料具有较好的一致性.本文在理论模型和实际资料测试中还进行了反演模型不确定性分析,分析结果表明q取值为1.5能够得到令人满意的反演结果. 展开更多
关键词 重力 三维反演 q-高斯分布 零阶最小熵正则化
在线阅读 下载PDF
上一页 1 下一页 到第
使用帮助 返回顶部