Constrained Full Waveform Inversion for Borehole Multicomponent Seismic Data
Full-waveform inversion for borehole seismic data is an ill-posed problem and constraining the problem is crucial. Constraints can be imposed on the data and model space through covariance matrices. Usually, they are set to a diagonal matrix. For the data space, signal polarization information can b...
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| Format: | Article |
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MDPI AG
2019-01-01
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| Series: | Geosciences |
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| Online Access: | http://www.mdpi.com/2076-3263/9/1/45 |
| _version_ | 1819262613525102592 |
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| author | Marwan Charara Christophe Barnes |
| author_facet | Marwan Charara Christophe Barnes |
| author_sort | Marwan Charara |
| collection | DOAJ |
| description | Full-waveform inversion for borehole seismic data is an ill-posed problem and constraining the problem is crucial. Constraints can be imposed on the data and model space through covariance matrices. Usually, they are set to a diagonal matrix. For the data space, signal polarization information can be used to evaluate the data uncertainties. The inversion forces the synthetic data to fit the polarization of observed data. A synthetic inversion for a 2D-2C data estimating a 1D elastic model shows a clear improvement, especially at the level of the receivers. For the model space, horizontal and vertical spatial correlations using a Laplace distribution can be used to fill the model space covariance matrix. This approach reduces the degree of freedom of the inverse problem, which can be quantitatively evaluated. Strong horizontal spatial correlation distances favor a tabular geological model whenever it does not contradict the data. The relaxation of the spatial correlation distances from large to small during the iterative inversion process allows the recovery of geological objects of the same size, which regularizes the inverse problem. Synthetic constrained and unconstrained inversions for 2D-2C crosswell data show the clear improvement of the inversion results when constraints are used. |
| first_indexed | 2024-12-23T20:00:29Z |
| format | Article |
| id | doaj.art-c2236a237d234664bcd073d7013d4aaf |
| institution | Directory Open Access Journal |
| issn | 2076-3263 |
| language | English |
| last_indexed | 2024-12-23T20:00:29Z |
| publishDate | 2019-01-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Geosciences |
| spelling | doaj.art-c2236a237d234664bcd073d7013d4aaf2022-12-21T17:33:05ZengMDPI AGGeosciences2076-32632019-01-01914510.3390/geosciences9010045geosciences9010045Constrained Full Waveform Inversion for Borehole Multicomponent Seismic DataMarwan Charara0Christophe Barnes1Skolkovo Institute of Science and Technology, Moscow 121205, RussiaDepartment of Geosciences and Environment, University of Cergy-Pontoise, 95000 Neuville-sur-Oise, FranceFull-waveform inversion for borehole seismic data is an ill-posed problem and constraining the problem is crucial. Constraints can be imposed on the data and model space through covariance matrices. Usually, they are set to a diagonal matrix. For the data space, signal polarization information can be used to evaluate the data uncertainties. The inversion forces the synthetic data to fit the polarization of observed data. A synthetic inversion for a 2D-2C data estimating a 1D elastic model shows a clear improvement, especially at the level of the receivers. For the model space, horizontal and vertical spatial correlations using a Laplace distribution can be used to fill the model space covariance matrix. This approach reduces the degree of freedom of the inverse problem, which can be quantitatively evaluated. Strong horizontal spatial correlation distances favor a tabular geological model whenever it does not contradict the data. The relaxation of the spatial correlation distances from large to small during the iterative inversion process allows the recovery of geological objects of the same size, which regularizes the inverse problem. Synthetic constrained and unconstrained inversions for 2D-2C crosswell data show the clear improvement of the inversion results when constraints are used.http://www.mdpi.com/2076-3263/9/1/45constrained inversionelastic full waveform inversionmulticomponent seismic databorehole seismic |
| spellingShingle | Marwan Charara Christophe Barnes Constrained Full Waveform Inversion for Borehole Multicomponent Seismic Data Geosciences constrained inversion elastic full waveform inversion multicomponent seismic data borehole seismic |
| title | Constrained Full Waveform Inversion for Borehole Multicomponent Seismic Data |
| title_full | Constrained Full Waveform Inversion for Borehole Multicomponent Seismic Data |
| title_fullStr | Constrained Full Waveform Inversion for Borehole Multicomponent Seismic Data |
| title_full_unstemmed | Constrained Full Waveform Inversion for Borehole Multicomponent Seismic Data |
| title_short | Constrained Full Waveform Inversion for Borehole Multicomponent Seismic Data |
| title_sort | constrained full waveform inversion for borehole multicomponent seismic data |
| topic | constrained inversion elastic full waveform inversion multicomponent seismic data borehole seismic |
| url | http://www.mdpi.com/2076-3263/9/1/45 |
| work_keys_str_mv | AT marwancharara constrainedfullwaveforminversionforboreholemulticomponentseismicdata AT christophebarnes constrainedfullwaveforminversionforboreholemulticomponentseismicdata |