Full waveform inversion with combined misfit functions and application in land seismic data
文献类型：期刊论文
| 作者 | Song, Jianyong2; Yang, Zhifang2; Cao, Hong4; He, Weiguang3; Pan, Wenyong1; Li, Meng2; Tian, Na4 |
| 刊名 | FRONTIERS IN EARTH SCIENCE
 |
| 出版日期 | 2023-10-30 |
| 卷号 | 11页码:14 |
| 关键词 | full waveform inversion combined misfit function land seismic data wavelet inversion velocity inversion |
| DOI | 10.3389/feart.2023.1264009 |
| 英文摘要 | Full waveform inversion reconstructs subsurface structures by matching the synthetic waveform to the observed waveform. Inaccuracy of the source wavelets can, thus, easily lead to an inaccurate model. Simultaneously updating source wavelets and model parameters is a conventionally used strategy. However, when the initial model is very far from the true model, cycle skipping exists, and estimating a reliable source wavelet is very difficult. We propose a combinatory inversion workflow based on seismic events. We apply a Gaussian time window around the first break and gradually increase its width to include more seismic events. The influence of inaccurate source wavelets is alleviated by applying a Gaussian time window around the first break to evaluate the normalized cross-correlation-based objective function. There are inevitable small model artifacts caused by inter-event interactions when calculating cross-correlations. As a result, we switch to the optimal transport function to clean the model and update the source wavelets simultaneously. The combinatory strategy has been applied to models with different types of geological structures. Starting from a crude initial model, we recovered a high-resolution and high-fidelity model and the source wavelets in two synthetic experiments. Finally, we apply our inversion strategy to a real-land seismic dataset in Southeast China and obtain a higher-resolution velocity model. By comparing an inversion velocity profile with well log information and the recorded data with the simulated data, we conclude that our inversion results for the field data are accurate and this new strategy is effective. |
| WOS关键词 | OPTIMAL TRANSPORT ; SENSITIVITY KERNELS ; EQUATION TOMOGRAPHY ; FREQUENCY-DOMAIN ; REFLECTION DATA ; VELOCITY ; DENSITY |
| 资助项目 | The author(s) declare financial support was received for the research, authorship, and/or publication of this article. This study was funded by the CNPC Science and Technology Major Project (grant no. 2023ZZ05, 2023ZZ05-05), the National Natural Science Fo[2023ZZ05] ; The author(s) declare financial support was received for the research, authorship, and/or publication of this article. This study was funded by the CNPC Science and Technology Major Project (grant no. 2023ZZ05, 2023ZZ05-05), the National Natural Science Fo[2023ZZ05-05] ; CNPC Science and Technology Major Project[41504110] ; CNPC Science and Technology Major Project[42004116] ; National Natural Science Foundation of China[2021DJ3502] ; National Natural Science Foundation of China[2021DJ3503] ; National Natural Science Foundation of China[2021D3605] ; 14th 5-Year Basic Research Program of CNPC[2021DJ1803] ; Science and Technology Fund Projects of PetroChina Company Limited |
| WOS研究方向 | Geology |
| 语种 | 英语 |
| 出版者 | FRONTIERS MEDIA SA |
| WOS记录号 | WOS:001103252500001 |
| 资助机构 | The author(s) declare financial support was received for the research, authorship, and/or publication of this article. This study was funded by the CNPC Science and Technology Major Project (grant no. 2023ZZ05, 2023ZZ05-05), the National Natural Science Fo ; The author(s) declare financial support was received for the research, authorship, and/or publication of this article. This study was funded by the CNPC Science and Technology Major Project (grant no. 2023ZZ05, 2023ZZ05-05), the National Natural Science Fo ; CNPC Science and Technology Major Project ; CNPC Science and Technology Major Project ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; 14th 5-Year Basic Research Program of CNPC ; 14th 5-Year Basic Research Program of CNPC ; Science and Technology Fund Projects of PetroChina Company Limited ; Science and Technology Fund Projects of PetroChina Company Limited ; The author(s) declare financial support was received for the research, authorship, and/or publication of this article. This study was funded by the CNPC Science and Technology Major Project (grant no. 2023ZZ05, 2023ZZ05-05), the National Natural Science Fo ; The author(s) declare financial support was received for the research, authorship, and/or publication of this article. This study was funded by the CNPC Science and Technology Major Project (grant no. 2023ZZ05, 2023ZZ05-05), the National Natural Science Fo ; CNPC Science and Technology Major Project ; CNPC Science and Technology Major Project ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; 14th 5-Year Basic Research Program of CNPC ; 14th 5-Year Basic Research Program of CNPC ; Science and Technology Fund Projects of PetroChina Company Limited ; Science and Technology Fund Projects of PetroChina Company Limited ; The author(s) declare financial support was received for the research, authorship, and/or publication of this article. This study was funded by the CNPC Science and Technology Major Project (grant no. 2023ZZ05, 2023ZZ05-05), the National Natural Science Fo ; The author(s) declare financial support was received for the research, authorship, and/or publication of this article. This study was funded by the CNPC Science and Technology Major Project (grant no. 2023ZZ05, 2023ZZ05-05), the National Natural Science Fo ; CNPC Science and Technology Major Project ; CNPC Science and Technology Major Project ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; 14th 5-Year Basic Research Program of CNPC ; 14th 5-Year Basic Research Program of CNPC ; Science and Technology Fund Projects of PetroChina Company Limited ; Science and Technology Fund Projects of PetroChina Company Limited ; The author(s) declare financial support was received for the research, authorship, and/or publication of this article. This study was funded by the CNPC Science and Technology Major Project (grant no. 2023ZZ05, 2023ZZ05-05), the National Natural Science Fo ; The author(s) declare financial support was received for the research, authorship, and/or publication of this article. This study was funded by the CNPC Science and Technology Major Project (grant no. 2023ZZ05, 2023ZZ05-05), the National Natural Science Fo ; CNPC Science and Technology Major Project ; CNPC Science and Technology Major Project ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; 14th 5-Year Basic Research Program of CNPC ; 14th 5-Year Basic Research Program of CNPC ; Science and Technology Fund Projects of PetroChina Company Limited ; Science and Technology Fund Projects of PetroChina Company Limited |
| 源URL | [http://ir.iggcas.ac.cn/handle/132A11/110665]  |
| 专题 | 地质与地球物理研究所_中国科学院油气资源研究重点实验室 |
| 通讯作者 | Yang, Zhifang; Cao, Hong |
| 作者单位 | 1.Chinese Acad Sci, Inst Geol & Geophys, Key Lab Petr Resource Res, Beijing, Peoples R China 2.China Natl Petr Corp, Res Inst Petr Explorat & Dev, Beijing, Peoples R China 3.Saudi Aramco Beijing Res Ctr, Beijing, Peoples R China 4.China Natl Petr Corp, Bur Geophys Prospecting INC, Zhuozhou, Peoples R China |
| 推荐引用方式 GB/T 7714 | Song, Jianyong,Yang, Zhifang,Cao, Hong,et al. Full waveform inversion with combined misfit functions and application in land seismic data[J]. FRONTIERS IN EARTH SCIENCE,2023,11:14. |
| APA | Song, Jianyong.,Yang, Zhifang.,Cao, Hong.,He, Weiguang.,Pan, Wenyong.,...&Tian, Na.(2023).Full waveform inversion with combined misfit functions and application in land seismic data.FRONTIERS IN EARTH SCIENCE,11,14. |
| MLA | Song, Jianyong,et al."Full waveform inversion with combined misfit functions and application in land seismic data".FRONTIERS IN EARTH SCIENCE 11(2023):14. |
入库方式： OAI收割
来源：地质与地球物理研究所
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