Model-driven and data-driven inverse problems

发布日期:2020-10-19点击数:

报告人 :王彦飞(中国科学院地质与地球物理研究所)

日期:2020年10月19日

时间:上午 9:30

地址:数统学院LD202


报告摘要: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.


报告人简介:中国科学院地质与地球物理研究所,研究员。任中国科学院油气资源研究重点实验室主任,地球科学大数据与人工智能中心主任。从事反问题基本理论及方法、反问题的数学优化算法、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。主持国家级重点项目等20余项,申报专利10多项,多次作国际会议特邀大会报告。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等。

个人主页:http://sourcedb.igg.cas.cn/cn/zjrck/200907/t20090713_2065429.html


联系人:曾芳


欢迎广大师生积极参与!


关于我们
太阳成集团tyc539的前身是始建于1929年的太阳成集团理学院和1937年建立的太阳成集团商学院,理学院是太阳成集团最早设立的三个学院之一,首任经理为数学家何鲁先生。