Full waveform inversion in time and frequency domain of velocity modeling in seismic imaging: FWISIMAT a Matlab code
This paper investigates the capability of acoustic Full Waveform Inversion (FWI) in building Marmousi velocity model, in time and frequency domain. FWI is an iterative minimization of misfit between observed and calculated data which is generally solved in three segments: forward modeling, which num...
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| Language: | English |
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Universidad Nacional de Colombia
2018-10-01
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| Series: | Earth Sciences Research Journal |
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| Online Access: | https://revistas.unal.edu.co/index.php/esrj/article/view/59640 |
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| author | Sagar Singh Ali Ismet Kanli Sagarika Mukhopadhyay |
| author_facet | Sagar Singh Ali Ismet Kanli Sagarika Mukhopadhyay |
| author_sort | Sagar Singh |
| collection | DOAJ |
| description | This paper investigates the capability of acoustic Full Waveform Inversion (FWI) in building Marmousi velocity model, in time and frequency domain. FWI is an iterative minimization of misfit between observed and calculated data which is generally solved in three segments: forward modeling, which numerically solves the wave equation with an initial model, gradient computation of the objective function, and updating the model parameters, with a valid optimization method. FWI codes developed in MATLAB herein FWISIMAT (Full Waveform Inversion in Seismic Imaging using MATLAB) are successfully implemented using the Marmousi velocity model as the true model. An initial model is obtained by smoothing the true model to initiate FWI procedure. Smoothing ensures an adequate starting model for FWI, as the FWI procedure is known to be sensitive on the starting model. The final model is compared with the true model to review the number of recovered velocities. FWI codes developed in MATLAB herein FWISIMAT (Full Waveform Inversion in Seismic Imaging using MATLAB) are successfully implemented usingMarmousi velocity model astrue model. An initial model is derived from smoothing the true model to initiate FWI procedure. Smoothing ensures an adequate starting model for FWI, as the FWI procedure is known to be sensitive onstarting model. The final model is compared with the true model to review theamount of recovered velocities. |
| format | Article |
| id | doaj-art-2f849ba8b10c4cbd8b4d832f5c78f470 |
| institution | Kabale University |
| issn | 1794-6190 2339-3459 |
| language | English |
| publishDate | 2018-10-01 |
| publisher | Universidad Nacional de Colombia |
| record_format | Article |
| series | Earth Sciences Research Journal |
| spelling | doaj-art-2f849ba8b10c4cbd8b4d832f5c78f4702025-08-20T03:53:38ZengUniversidad Nacional de ColombiaEarth Sciences Research Journal1794-61902339-34592018-10-0122429130010.15446/esrj.v22n4.5964050242Full waveform inversion in time and frequency domain of velocity modeling in seismic imaging: FWISIMAT a Matlab codeSagar Singh0Ali Ismet Kanli1Sagarika Mukhopadhyay2Department of Earth Sciences, Indian Institute of Technology Roorkee, 247667, Roorkee, India.Geophysical EngineerDepartment of Earth Sciences, Indian Institute of Technology Roorkee, 247667, Roorkee, IndiaThis paper investigates the capability of acoustic Full Waveform Inversion (FWI) in building Marmousi velocity model, in time and frequency domain. FWI is an iterative minimization of misfit between observed and calculated data which is generally solved in three segments: forward modeling, which numerically solves the wave equation with an initial model, gradient computation of the objective function, and updating the model parameters, with a valid optimization method. FWI codes developed in MATLAB herein FWISIMAT (Full Waveform Inversion in Seismic Imaging using MATLAB) are successfully implemented using the Marmousi velocity model as the true model. An initial model is obtained by smoothing the true model to initiate FWI procedure. Smoothing ensures an adequate starting model for FWI, as the FWI procedure is known to be sensitive on the starting model. The final model is compared with the true model to review the number of recovered velocities. FWI codes developed in MATLAB herein FWISIMAT (Full Waveform Inversion in Seismic Imaging using MATLAB) are successfully implemented usingMarmousi velocity model astrue model. An initial model is derived from smoothing the true model to initiate FWI procedure. Smoothing ensures an adequate starting model for FWI, as the FWI procedure is known to be sensitive onstarting model. The final model is compared with the true model to review theamount of recovered velocities.https://revistas.unal.edu.co/index.php/esrj/article/view/59640Seismic ImagingFull-Waveform InversionAcoustic Wave EquationGaussian SmootherMarmousi Velocity Model. |
| spellingShingle | Sagar Singh Ali Ismet Kanli Sagarika Mukhopadhyay Full waveform inversion in time and frequency domain of velocity modeling in seismic imaging: FWISIMAT a Matlab code Earth Sciences Research Journal Seismic Imaging Full-Waveform Inversion Acoustic Wave Equation Gaussian Smoother Marmousi Velocity Model. |
| title | Full waveform inversion in time and frequency domain of velocity modeling in seismic imaging: FWISIMAT a Matlab code |
| title_full | Full waveform inversion in time and frequency domain of velocity modeling in seismic imaging: FWISIMAT a Matlab code |
| title_fullStr | Full waveform inversion in time and frequency domain of velocity modeling in seismic imaging: FWISIMAT a Matlab code |
| title_full_unstemmed | Full waveform inversion in time and frequency domain of velocity modeling in seismic imaging: FWISIMAT a Matlab code |
| title_short | Full waveform inversion in time and frequency domain of velocity modeling in seismic imaging: FWISIMAT a Matlab code |
| title_sort | full waveform inversion in time and frequency domain of velocity modeling in seismic imaging fwisimat a matlab code |
| topic | Seismic Imaging Full-Waveform Inversion Acoustic Wave Equation Gaussian Smoother Marmousi Velocity Model. |
| url | https://revistas.unal.edu.co/index.php/esrj/article/view/59640 |
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