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Model-driven and data-driven inverse problems

讲座摘要

In the early stage of geophysical inversion, single physical property is the main feature. Due to the limitation of a single geophysical method, the inversion results are not enough in accuracy and resolution to meet the needs of actual exploration and development. In recent years, we have comprehensively used various geophysical methods to study the same geological body from different perspectives. On the basis of single geophysical field inversion, we take the correlation between multiple physical parameters as a prior information, introduce the spatial structure coupling algorithm, and study the appropriate optimization inversion algorithm to improve the accuracy of inversion interpretation. In addition, we can further introduce big data and artificial intelligence analysis to achieve the further improvement of the accuracy of geophysical inverse problem solution, so as to achieve the goal of fully approaching the reality.


嘉宾简介

王彦飞,中国科学院地质与地球物理研究所,研究员。主要从事反问题基本理论及计算方法、计算及勘探地球物理的研究工作。是国家杰出青年科学基金获得者,国家重点研发计划项目首席科学家;获中国青年科技奖,同时入选国家百千万人才工程。