scholarly journals Elastic full-waveform inversion of vertical seismic profile data acquired with distributed acoustic sensors

Geophysics ◽  
2018 ◽  
Vol 83 (3) ◽  
pp. R273-R281 ◽  
Author(s):  
Anton Egorov ◽  
Julia Correa ◽  
Andrej Bóna ◽  
Roman Pevzner ◽  
Konstantin Tertyshnikov ◽  
...  
Keyword(s):  
Elastic Properties ◽  
Particle Velocity ◽  
Waveform Inversion ◽  
Vertical Component ◽  
Seismic Profile ◽  
Full Waveform Inversion ◽  
Vertical Seismic Profile ◽  
Data Set ◽  
Full Waveform ◽  
Vsp Data

Distributed acoustic sensing (DAS) is a rapidly developing technology particularly useful for the acquisition of vertical seismic profile (VSP) surveys. DAS data are increasingly used for seismic imaging, but not for estimating rock properties. We have developed a workflow for estimating elastic properties of the subsurface using full-waveform inversion (FWI) of DAS VSP data. Whereas conventional borehole geophones usually measure three components of particle velocity, DAS measures a single quantity, which is an approximation of the strain or strain rate along the fiber. Standard FWI algorithms are developed for particle velocity data, and hence their application to DAS data requires conversion of these data to particle velocity along the fiber. This conversion can be accomplished by a specially designed filter. Field measurements show that the conversion result is close to vertical particle velocity as measured by geophones. Elastic time-domain FWI of a synthetic multioffset VSP data set for a vertical well shows that the inversion of the vertical component alone is sufficient to recover elastic properties of the subsurface. Application of the proposed workflow to a multioffset DAS data set acquired at the CO2CRC Otway Project site in Victoria, Australia, reveals salient subhorizontal layering consistent with the known geology of the site. The inverted [Formula: see text] model at the well location matches the upscaled [Formula: see text] log with a correlation coefficient of 0.85.

scholarly journals Application of time-lapse full waveform inversion of vertical seismic profile data for the identification of changes introduced by CO2 sequestration

2018 ◽  
Vol 2018 (1) ◽  
pp. 1-5
Author(s):  
Anton Egorov ◽  
Andrej Bóna ◽  
Roman Pevzner ◽  
Stanislav Glubokovskikh ◽  
Konstantin Tertyshnikov
Keyword(s):  
Co2 Sequestration ◽  
Waveform Inversion ◽  
Time Lapse ◽  
Seismic Profile ◽  
Full Waveform Inversion ◽  
Profile Data ◽  
Vertical Seismic Profile ◽  
Full Waveform

Characterization of a carbonate reservoir using elastic full‐waveform inversion of vertical seismic profile data

2020 ◽  
Vol 68 (6) ◽  
pp. 1944-1957 ◽  
Author(s):  
Eric M. Takam Takougang ◽  
Mohammed Y. Ali ◽  
Youcef Bouzidi ◽  
Fateh Bouchaala ◽  
Akmal A. Sultan ◽  
...  
Keyword(s):  
Waveform Inversion ◽  
Seismic Profile ◽  
Carbonate Reservoir ◽  
Full Waveform Inversion ◽  
Profile Data ◽  
Vertical Seismic Profile ◽  
Full Waveform

Time-lapse full waveform inversion of vertical seismic profile data: Workflow and application to the CO2CRC Otway project

2017 ◽  
Vol 44 (14) ◽  
pp. 7211-7218 ◽  
Author(s):  
Anton Egorov ◽  
Roman Pevzner ◽  
Andrej Bóna ◽  
Stanislav Glubokovskikh ◽  
Vladimir Puzyrev ◽  
...  
Keyword(s):  
Waveform Inversion ◽  
Time Lapse ◽  
Seismic Profile ◽  
Full Waveform Inversion ◽  
Profile Data ◽  
Vertical Seismic Profile ◽  
Full Waveform

Parameterization analysis and field validation of VTI-elastic full-waveform inversion in a walk-away vertical seismic profile configuration

Geophysics ◽  
2020 ◽  
Vol 85 (3) ◽  
pp. B87-B107 ◽  
Author(s):  
Wenyong Pan ◽  
Kristopher A. Innanen ◽  
Yanfei Wang
Keyword(s):  
Wave Velocity ◽  
Waveform Inversion ◽  
Seismic Profile ◽  
P Wave ◽  
Full Waveform Inversion ◽  
Walk Away ◽  
S Wave ◽  
Full Waveform ◽  
Trade Offs ◽  
Vsp Data

Elastic full-waveform inversion (FWI) in transversely isotropic media with a vertical symmetry axis (VTI) is applied to field walk-away vertical seismic profile (W-VSP) data acquired in Western Canada. The performance of VTI-elastic FWI is significantly influenced by the model parameterization choice. Synthetic analysis based on specific field survey configuration is carried out to evaluate three different VTI-elastic model parameterizations. Interparameter trade-offs are quantified using the recently introduced interparameter contamination sensitivity kernel approach. Synthetic results suggest that neglecting anisotropy leads to inaccurate velocity estimations. For the conventional vertical velocity-Thomsen’s parameter parameterization (i.e., vertical P-wave velocity, vertical S-wave velocity, Thomsen’s parameters [Formula: see text] and [Formula: see text]), a sequential inversion strategy is designed to reduce strong natural interparameter trade-offs. The model parameterizations of elastic-constant ([Formula: see text], [Formula: see text], [Formula: see text], and [Formula: see text]) and velocity-based (vertical, horizontal, and normal move-out P-wave velocities and vertical S-wave velocity) models appear to suffer from fewer interparameter trade-offs, providing more reliable velocity and anisotropy models. Results derived from application of VTI-elastic FWI to the field W-VSP data set tend to support the synthetic conclusions. Multiparameter point spread functions are calculated to quantify the local interparameter trade-offs of the inverted models. The output inversion results are interpreted to provide valuable references regarding the target hydrocarbon reservoir.

A new parameter set for anisotropic multiparameter full-waveform inversion and application to a North Sea data set

Geophysics ◽  
2016 ◽  
Vol 81 (4) ◽  
pp. U25-U38 ◽  
Author(s):  
Nuno V. da Silva ◽  
Andrew Ratcliffe ◽  
Vetle Vinje ◽  
Graham Conroy
Keyword(s):  
North Sea ◽  
Waveform Inversion ◽  
Real Data ◽  
Model Parameters ◽  
Full Waveform Inversion ◽  
Radiation Patterns ◽  
Data Set ◽  
Full Waveform ◽  
Seismic Image ◽  
Central North Sea

Parameterization lies at the center of anisotropic full-waveform inversion (FWI) with multiparameter updates. This is because FWI aims to update the long and short wavelengths of the perturbations. Thus, it is important that the parameterization accommodates this. Recently, there has been an intensive effort to determine the optimal parameterization, centering the fundamental discussion mainly on the analysis of radiation patterns for each one of these parameterizations, and aiming to determine which is best suited for multiparameter inversion. We have developed a new parameterization in the scope of FWI, based on the concept of kinematically equivalent media, as originally proposed in other areas of seismic data analysis. Our analysis is also based on radiation patterns, as well as the relation between the perturbation of this set of parameters and perturbation in traveltime. The radiation pattern reveals that this parameterization combines some of the characteristics of parameterizations with one velocity and two Thomsen’s parameters and parameterizations using two velocities and one Thomsen’s parameter. The study of perturbation of traveltime with perturbation of model parameters shows that the new parameterization is less ambiguous when relating these quantities in comparison with other more commonly used parameterizations. We have concluded that our new parameterization is well-suited for inverting diving waves, which are of paramount importance to carry out practical FWI successfully. We have demonstrated that the new parameterization produces good inversion results with synthetic and real data examples. In the latter case of the real data example from the Central North Sea, the inverted models show good agreement with the geologic structures, leading to an improvement of the seismic image and flatness of the common image gathers.

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