TY - GEN
T1 - Including converted waves in full wavefield migration
AU - Hoogerbrugge, L.
AU - Verschuur, E.
PY - 2021
Y1 - 2021
N2 - Full Wavefield Migration (FWM) is a full-wavefield inversion method based on the so-called WRW model in the context of seismic imaging. This WRW model describes seismic data in terms of convolutional propagation and reflection operators in the space-frequency domain. By recursively applying these operators, multi-scattering data can be described and the FWM algorithm can find the underlying reflection properties (i.e. the ‘image’). However, the current FWM algorithm only allows for acoustic imaging. This approach disregards elastic phenomena such as wave conversions. In this report, an extension to the FWM method is given to incorporate these effects. The resulting algorithm is then applied to a simple 1.5D model, to allow for proof-of-concept numerical simulations. The results of these simulations are given and show that the proposed model can model wave conversions and other elastic effects, yielding a good proof-of-concept for further research into this extended algorithm.
AB - Full Wavefield Migration (FWM) is a full-wavefield inversion method based on the so-called WRW model in the context of seismic imaging. This WRW model describes seismic data in terms of convolutional propagation and reflection operators in the space-frequency domain. By recursively applying these operators, multi-scattering data can be described and the FWM algorithm can find the underlying reflection properties (i.e. the ‘image’). However, the current FWM algorithm only allows for acoustic imaging. This approach disregards elastic phenomena such as wave conversions. In this report, an extension to the FWM method is given to incorporate these effects. The resulting algorithm is then applied to a simple 1.5D model, to allow for proof-of-concept numerical simulations. The results of these simulations are given and show that the proposed model can model wave conversions and other elastic effects, yielding a good proof-of-concept for further research into this extended algorithm.
UR - http://www.scopus.com/inward/record.url?scp=85127779854&partnerID=8YFLogxK
U2 - 10.3997/2214-4609.202011693
DO - 10.3997/2214-4609.202011693
M3 - Conference contribution
AN - SCOPUS:85127779854
T3 - 82nd EAGE Conference and Exhibition 2021
SP - 2145
EP - 2149
BT - 82nd EAGE Conference and Exhibition 2021
PB - EAGE
T2 - 82nd EAGE Conference and Exhibition 2021
Y2 - 18 October 2021 through 21 October 2021
ER -