TY - GEN
T1 - Wave-equation dispersion spectrum inversion for Rayleigh and guided P-waves
AU - Zhang, Z.
AU - Alkhalifah, Tariq Ali
N1 - KAUST Repository Item: Exported on 2020-10-01
Acknowledgements: We thank Jerry Schuster, Jing Li and Sherif Hanafy for providing the land data. We thank Equinor for providing the open-access Volve data. We thank KSL at KAUST for providing computation resources.
PY - 2019/8/26
Y1 - 2019/8/26
N2 - We present a wave-equation dispersion spectrum inversion algorithm for near-surface P- and S-wave velocity estimation. We utilize what we often considered in seismic processing as coherent noise, surface waves and guided P-waves, as our inversion data. The dispersion spectrum is calculated using a linear Radon transform. A local-similarity based measurement of the misfit is used as our objective function replacing the conventional L2 norm often used in full waveform inversion. The proposed method does not require picking explicit dispersion curves and is immune to errors in the initial models and source wavelets. One synthetic and two field data examples are used to verify the effectiveness of the proposed method and also reveal some of its limitations.
AB - We present a wave-equation dispersion spectrum inversion algorithm for near-surface P- and S-wave velocity estimation. We utilize what we often considered in seismic processing as coherent noise, surface waves and guided P-waves, as our inversion data. The dispersion spectrum is calculated using a linear Radon transform. A local-similarity based measurement of the misfit is used as our objective function replacing the conventional L2 norm often used in full waveform inversion. The proposed method does not require picking explicit dispersion curves and is immune to errors in the initial models and source wavelets. One synthetic and two field data examples are used to verify the effectiveness of the proposed method and also reveal some of its limitations.
UR - http://hdl.handle.net/10754/661867
UR - http://www.earthdoc.org/publication/publicationdetails/?publication=97206
UR - http://www.scopus.com/inward/record.url?scp=85084018482&partnerID=8YFLogxK
U2 - 10.3997/2214-4609.201901451
DO - 10.3997/2214-4609.201901451
M3 - Conference contribution
SN - 9789462822894
BT - 81st EAGE Conference and Exhibition 2019
PB - EAGE Publications BV
ER -