报告题目：Model-driven and data-driven Inverse Problems

主 讲 人：王 彦 飞

单 位：中科院地质与地球物理研究所

时 间：9月9日14:30

腾 讯 ID：668 317 377

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.

简 介：

王彦飞，中科院地质与地球物理研究所，研究员。从事反问题基本理论及方法、地学大数据与人工智能分析、计算及勘探地球物理研究工作。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，入选国家百千万人才工程国家级人选，授予有突出贡献中青年专家。