A level-set structural approach for multi-physics joint inversion using full-waveform and gravity data
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| Main Authors: | , , , |
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| Format: | Preprint |
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2025
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| _version_ | 1866912576505380864 |
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| author | Deng, Xingyu Zhao, Jianfeng Li, Wenbin Ma, Jianwei |
| author_facet | Deng, Xingyu Zhao, Jianfeng Li, Wenbin Ma, Jianwei |
| contents | This paper presents a level-set based structural approach for the joint inversion of full-waveform and gravity data. The joint inversion aims to integrate the strengths of full-waveform inversion for high resolution imaging and gravity inversion for detecting density contrasts over extensive regions. Although common studies typically only observe full-waveform inversion assisting gravity inversion, we propose three key points that enable gravity data to complement full-waveform data in the joint inversion. (i) Based on the well-posedness theorem, we consider a volume mass distribution where the density-contrast value is imposed as a priori information, ensuring that the gravity data provide meaningful information. (ii) We utilize a level-set formulation to characterize the shared interface of wave velocity and density functions, connecting multi-physics datasets via the structural similarity of their inversion parameters. (iii) We develop a balanced and decaying weight to regulate the influence of multi-physics datasets during joint inversion. This weight comprises a balanced part that accounts for the differing scales of full-waveform and gravity data, and a decaying part designed to effectively utilize the features and advantages of each dataset. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2509_06689 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | A level-set structural approach for multi-physics joint inversion using full-waveform and gravity data Deng, Xingyu Zhao, Jianfeng Li, Wenbin Ma, Jianwei Geophysics This paper presents a level-set based structural approach for the joint inversion of full-waveform and gravity data. The joint inversion aims to integrate the strengths of full-waveform inversion for high resolution imaging and gravity inversion for detecting density contrasts over extensive regions. Although common studies typically only observe full-waveform inversion assisting gravity inversion, we propose three key points that enable gravity data to complement full-waveform data in the joint inversion. (i) Based on the well-posedness theorem, we consider a volume mass distribution where the density-contrast value is imposed as a priori information, ensuring that the gravity data provide meaningful information. (ii) We utilize a level-set formulation to characterize the shared interface of wave velocity and density functions, connecting multi-physics datasets via the structural similarity of their inversion parameters. (iii) We develop a balanced and decaying weight to regulate the influence of multi-physics datasets during joint inversion. This weight comprises a balanced part that accounts for the differing scales of full-waveform and gravity data, and a decaying part designed to effectively utilize the features and advantages of each dataset. |
| title | A level-set structural approach for multi-physics joint inversion using full-waveform and gravity data |
| topic | Geophysics |
| url | https://arxiv.org/abs/2509.06689 |