基于交叉梯度函数的三维重震联合反演  

Three-dimensional Joint Inversion of Gravity and Seismic Data Based on Cross Gradient Function

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作  者:张济东 郑浩[1] 王鸣谦 李阳[1] Zhang Jidong;Zheng Hao;Wang Mingqian;Li Yang(Sinopec Geophysical Research Institute, Nanjing Jiangsu 211103, China)

机构地区:[1]中国石化石油物探技术研究院,江苏南京211103

出  处:《工程地球物理学报》2022年第2期258-267,共10页Chinese Journal of Engineering Geophysics

基  金:科技部国家重点研发计划(编号:2019YFC0604902)。

摘  要:单一类型地球物理数据的反演会存在多解性,联合反演方法能够有效克服多解性,其在过程的稳定性、模型的成像质量以及后续资料解释等方面都发挥出独特的优势。交叉梯度联合反演方法以其不依赖岩石物性关系的优点,成为研究的热点。本文以重震联合反演为例,详细研究了基于交叉梯度函数的联合反演方法以及反演中存在的相关问题。针对联合反演中不同数据灵敏度矩阵数值和反演系统差异较大的问题,利用更加灵活的反演策略,即分别交替进行数据拟合和交叉梯度结构约束。同时,还提出了正演网格和反演网格相分离的网格划分策略,平衡了计算效率和精度。采用合适的联合反演策略实现了重力数据和地震波初至数据之间的联合反演。通过模型试验表明,算法能够有效减小反演的多解性,提高反演的分辨率。The traditional monotype inversion of geophysical data tends to produce redundant solutions.The joint inversion method much triumphs because of unique advantages in terms of process stability,model imaging quality,and subsequent data interpretation,thus can effectively clarify its ambiguity.The cross-gradient joint inversion method has become a research hotspot because of its indepandence on the relationship of rock properties.This paper takes the joint inversion of gravity and seismic data as an example to illustrate the joint inversion method based on the cross-gradient function and the related problems in the inversion.In response to the large difference in the sensitivity matrix values and the inversion system of different data in the joint inversion,a more flexible inversion strategy is used,that is,alternate data fitting and cross-gradient structure constraints.At the same time,a meshing strategy is proposed to separate the forward mesh and the inversion mesh,which balances the computational efficiency and accuracy.The joint inversion strategies are adopted to make it between gravity data and initial seismic wave data.Model tests show that the algorithm can effectively reduce the inversion ambiguity and improve the inversion resolution.

关 键 词:联合反演 重震联合 初至层析 

分 类 号:P631[天文地球—地质矿产勘探]

 

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