研究领域

[1] 全波形反演

[2] 地震波偏移成像

[3] 地震波波场数值模

[4] 大规模并行计算和最优化算法

[5] 人工智能及其在地球物理中的应用

Research Group Introduction

个人简介

姚 刚 博士现为中国石油大学（北京）非常规油气科学技术研究院研究员，入选国家级人才青年项目，担任《Petroleum Science》副主编、《地球物理学报》编委，本科及硕士毕业于中国地质大学（北京）勘探地球物理专业，2013年在英国帝国理工大学获得博士学位，主要研究最小二乘逆时偏移，毕业后加入全球知名地球物理学家、帝国理工大学Mike Warner教授领导的Fullwave Consortium从事博士后工作，主要研究全波形反演理论及其工业化应用，已发表国际SCI论文20余篇，已授权国家发明专利6项。

科研项目

[1] Study on the theory and key algorithms of full-waveform seismic imaging and simultaneous multi-elastic parameter inversion, National Natural Science Foundation of China (grant no. U23B20159), 2024 – 2027, budget ¥2,590k, Principal Investigator

[2] Study on full-waveform inversion for anisotropic media with full-component elastic seismic data, National Natural Science Foundation of China (grant no. 41974142), 2020 – 2023, budget ¥640k, Principal Investigator

[3] Study on full-waveform inversion for deep oil reservoirs, Science Foundation of China University of Petroleum (Beijing) (grant no. 5552462019YJRC005), 2019 – 2021, budget ¥600k, Principal Investigator

[4] Research on mode separation-based reflection waveform inversion in elastic media, National Natural Science Foundation of China (grant no. 42074129), 2021 – 2025, budget ¥590k, Key Participant.

[5] Study on full-waveform inversion with multi-constraints, National Key R&D Program of China (grant no. 2018YFA0702502), 2020 – 2024, budget ¥500k of total ¥600M, Key Participant.

科研团队介绍及招生个性化需求

勘查技术与工程（勘探地球物理）、地球物理学、物理学、数学、计算机科学与技术、数据科学与大数据

欢迎有志青年加入wavetomo团队，同心协力探索地震波成像反演的前沿技术

专利

[1] 全波形反演梯度计算中分离偏移和层析成像模式的方法，专利号：ZL201711462842.9 授权公告日: 2019年

[2] 一种全波形反演中原始梯度的层析分量提取方法. 专利号： 201810596430.2. 授权公告日: 2019年

[3] 一种克服全波形反演中周期跳跃的方法. 专利号： 201810875786.x. 授权公告日: 2019年

[4] 一种最小二乘逆时偏移梯度更新方法. 专利号： 201710969635.6. 授权日期: 2019年

[5] 一种沿构造走向光滑约束的反射波波形反演算法.专利号：201910237792.7. 授权公告日: 2020年

[6] 一种浸入边界起伏地表地震波场正演模拟方法. 专利号：201910991754.0. 授权公告日：2021年

Publications

期刊论文

[1] Zheng, Q., and G. Yao*. 2023, An improved elastic wavefield separation method based on the Helmholtz decomposition. Geophysics, 88, no. 4,1-35.

[2] Fang, X, G. Yao*, F. Niu, and D. Wu. 2023, Estimating optimal parameters of finite-difference scheme for wavefield modelling. Chinese Journal of Geophysics (in Chinese), 66, no. 5.

[3] Ma, X., G. Yao*, F. Zhang, and D. Wu. 2023, Fault detection method based on pixel difference network. Chinese Journal of Geophysics (in Chinese), 66, no. 4,1649-1663.

[4] Yao, G., B. Wu, N.V. da Silva, H.A. Debens, D. Wu, J. Cao*. 2022, Least-squares reverse-time migration with a multiplicative Cauchy constraint. Geophysics, 87, no. 3, 1-75.

[5] Liu, N., G. Yao*, Z. Zou, S. Wang, D. Wu, X. Li, and J. Zhou. 2022, Two Improved Acquisition Systems for Deep Subsurface Exploration. Frontiers in Earth Science, 11, 407.

[6] Yao, G., B. Wu, N.V. da Silva, H.A. Debens, D. Wu, J. Cao*. 2022, Least-squares reverse-time migration with a multiplicative Cauchy constraint. Geophysics, 87, no. 3, 1MJ-V246.

[7] Li, X., G. Yao*, F. Niu, D. Wu, N. Liu. 2022, Waveform inversion of seismic first arrivals acquired on irregular surface. Geophysics, 87, no. 3, 1MJ-V246.

[8] Cao*, J.J., G. Yao, N.V. da Silva. 2022, Interpolation of Irregularly Sampled Noisy Seismic Data with the Nonconvex Regularization and Proximal Method. Pure and Applied Geophysics, 179, 663–678

部分会议论文

[1] Fang, XZ., FN. Niu, G. Yao. 2021, Estimate optimal parameters of finite-difference scheme for wavefield modelling. In 82nd EAGE Conference and Exhibition 2018.

[2] Wu*, B., G. Yao, J. Cao, et al., 2021, Huber inversion-based reverse-time migration with de-primary imaging condition and sparse constraint in curvelet domain. In 82th EAGE Conference and Exhibition 2021.

[3] Yao*, G., N. V. da Silva, M. Warner, D. Wu, and C. Yang. 2019, Tackling cycle-skipping in full-waveform inversion with intermediate data, SEG Technical Program Expanded Abstracts 2019: 1560-1564.

[4] Yao*, G., N. V. da Silva, and D. Wu. 2019, Reflection-waveform inversion constrained with structure-oriented smoothing, SEG Technical Program Expanded Abstracts 2019: 1615-1619.

[5] Yao*, G., N. da Silva, M. Warner, and T. Kalinicheva. 2018, Separation of migration and tomography modes of full-waveform inversion in the plane-wave domain. In 80th EAGE Conference and Exhibition 2018.

[6] Yao*, G., N. da Silva, M. Warner, and D. Wu. 2018, Extraction of tomography mode for full-waveform inversion with nonstationary smoothing, SEG Technical Program Expanded Abstracts 2018: 1364-1368.

[7] Yao*, G., N. V. da Silva, M. Warner, A. Umpleby, and D. Wu. 2017, Improved FWI convergence using efficient receiver-side spatial preconditioning employing ray theory. In 79th EAGE Conference and Exhibition 2017.