Elastic Full Waveform Inversion With a Permanent Seismic Source ACROSS: Towards Hydrocarbon Reservoir Monitoring

2014 ◽  
Author(s):  
Mamoru Takanashi ◽  
Ayato Kato ◽  
Junzo Kasahara ◽  
Stefan Luth ◽  
Christopher Juhlin
Author(s):  
Severine Pannetier Lescoffit ◽  
Marianne Houbiers ◽  
Cris Henstock ◽  
Erik Hicks ◽  
Karl-Magnus Nilsen ◽  
...  

Geophysics ◽  
1997 ◽  
Vol 62 (2) ◽  
pp. 540-553 ◽  
Author(s):  
Susan E. Minkoff ◽  
William W. Symes

Full waveform inversion of a p‐τ marine data set from the Gulf of Mexico provides estimates of the long‐wavelength P‐wave background velocity, anisotropic seismic source, and three high‐frequency elastic parameter reflectivities that explain 70% of the total seismic data and 90% of the data in an interval around the gas sand target. The forward simulator is based on a plane‐wave viscoelastic model for P‐wave propagation and primary reflections in a layered earth. Differential semblance optimization, a variant of output least‐squares inversion, successfully estimates the nonlinear P‐wave background velocity and linear reflectivities. Once an accurate velocity is estimated, output least‐squares inversion reestimates the reflectivities and an anisotropic seismic source simultaneously. The viscoelastic model predicts the amplitude‐versus‐angle trend in the data more accurately than does an elastic model. Simultaneous inversion for reflectivities and source explains substantially more of the actual data than does inversion for reflectivities with fixed source from an air‐gun modeler. The best reflectivity estimates conform to widely accepted lithologic relationships and closely match the filtered well logs.


2016 ◽  
Vol 35 (10) ◽  
pp. 850-858 ◽  
Author(s):  
Erik Hicks ◽  
Henning Hoeber ◽  
Marianne Houbiers ◽  
Séverine Pannetier Lescoffit ◽  
Andrew Ratcliffe ◽  
...  

2021 ◽  
Author(s):  
Zongbo Xu ◽  
T. Dylan Mikesell ◽  
Josefine Umlauft ◽  
Gabriel Gribler

<p>Estimation of ambient seismic source distributions (e.g. location and strength) is important for studies of seismic source mechanisms and subsurface structures. It is current state of the art to estimate the source distribution by applying full-waveform inversion (FWI) to seismic crosscorrelations. We previously theoretically demonstrated the advantage of Rayleigh-wave multicomponent crosscorrelations in the FWI estimation process. In this presentation, we utilize the crosscorrelations from real ambient seismic data acquired in Hartoušov, Czech Republic, where the seismic sources are CO2 degassing areas at Earth’s surface (i.e. fumaroles or mofettes).  We develop a complete workflow from the raw data to the FWI estimation. We demonstrate that the multicomponent crosscorrelations can better constrain the source distribution than vertical-component crosscorrelations in both elastic media and anelastic media, even when we use an elastic forward model in the inversion process. Our inversion results indicate a strong seismic source near strong CO2 gas flux areas.</p>


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