Least-squares migration in the image-domain and depth-domain inversion: A Gulf of Mexico case study

Leon, Leo; Inyang, Charles; Hegazy, Mohamed; Hydal, Saeeda; Hargrove, Ken; Pasch, K.; Hollins, John

doi:10.1190/segam2018-2996955.1

Cited by 5 publications

(2 citation statements)

References 3 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Moreover, deriving accurate results close to the salt boundaries (or close to any sharp velocity discontinuity) may require employing more sophisticated PSF interpolators as well as techniques to handle the multiscattering artifacts present in the PSFs close to the boundaries (Fletcher et al, 2018). These techniques were used in the following example from the Mississippi Canyon in the Gulf of Mexico (Leon et al, 2018). The target prospect in this area was characterized by several relatively thin sand intervals located just below the base of a large salt structure inducing variable illumination patterns.…”

Section: Figure 2 -Brazil Santos Basin Example Acoustic Impedance Volume Derived With Conventional Time-domain Inversion (Top) and Depth-mentioning

confidence: 99%

Experiences of image-domain least-squares migration for quantitative interpretation

Cavalca¹,

Fletcher²,

Bloor³

2019

Proceedings of the 16th International Congress of the Brazilian Geophysical Society&Expogef

View full text Add to dashboard Cite

Contents of this paper were reviewed by the Technical Committee of the 16 th International Congress of the Brazilian Geophysical Society and do not necessarily represent any position of the SBGf, its officers or members. Electronic reproduction or storage of any part of this paper for commercial purposes without the written consent of the Brazilian Geophysical Society is prohibited. ____________________________________________________________________ Least-squares migration can help reduce non-geological amplitude variations caused by uneven illumination. Herein, we apply least-squares migration in the image domain to recover acoustic or elastic properties. Dipdependent illumination and wavelet stretch effects are captured using point spread functions and mitigated through inversion in the image domain. We show how this approach, also referred to as depth-domain inversion, can efficiently account for illumination variations induced by different geological and acquisition settings, leading to higher-resolution and more reliable earth property estimates. We also show how the approach can be used to reconcile seismic vintages associated with different acquisition geometries for time-lapse analysis.

show abstract

Section: Figure 2 -Brazil Santos Basin Example Acoustic Impedance Volume Derived With Conventional Time-domain Inversion (Top) and Depth-mentioning

confidence: 99%

Experiences of image-domain least-squares migration for quantitative interpretation

Cavalca¹,

Fletcher²,

Bloor³

2019

Proceedings of the 16th International Congress of the Brazilian Geophysical Society&Expogef

View full text Add to dashboard Cite

show abstract

“…Fletcher et al (2012Fletcher et al ( , 2016 replaced the 1D wavelet in conventional time-depth inversion with the point spread functions of depth imaging processing, attaining direct seismic inversion in the depth domain [21,22]. Then this idea was applied to complex subsalt environments [25][26][27][28], depth-domain Q compensation [29], depth-domain deghosting [30], pre-stack depth-domain elastic inversion [31][32][33], 4D inversion in the depth domain [34], and enhanced quantitative interpretation [35]. However, solving the point spread function requires a long computation time and large storage space, and the accuracy of the solution is highly dependent on the accuracy of the built depth-domain velocity model.…”

Section: Introductionmentioning

confidence: 99%

A Wavelet Extraction Method of Attenuation Media for Direct Acoustic Impedance Inversion in Depth Domain

Sun,

Cai,

Yao

2024

Applied Sciences

View full text Add to dashboard Cite

The seismic image produced by pre-stack depth migration is more accurate and has clearer geological significance than the time image. However, the waveform of the depth-domain seismic image is affected not only by depth-dependent velocity variation but also by media attenuation, resulting in strong spectral variation of depth-domain seismic data. Therefore, depth-domain seismic inversion is still challenging. We propose a wavelet extraction method of attenuation media based on the generalized seismic wavelet, to address this issue. Then, the estimated depth-domain wavelets were applied to the direct acoustic impedance inversion. First, we investigated the effect of attenuation media on depth-domain source wavelets and derived an analytical formula for the depth-domain wavelets of attenuation media. Next, the time-domain generalized seismic wavelet was extended to the depth domain, which was utilized to study the feasibility of using the generalized seismic wavelet to characterize the seismic wavelet of the depth-domain attenuation media. Based on the orthogonal matching pursuit, we propose a method to extract the depth-domain generalized seismic wavelet directly from depth-domain seismic data. Finally, we applied this method to the depth-domain direct acoustic impedance inversion of a 3D field data example. Tests on the synthetic and 3D field datasets show that the proposed method can correctly extract the depth-domain seismic wavelet of attenuation media and attain direct inversion of the depth-domain acoustic impedance with high accuracy. Therefore, our method is effective and has robust potential in reservoir characterization, fluid prediction, and attribute extraction in the depth domain.

show abstract

A depth-variant seismic wavelet extraction method for basis pursuit inversion with an impedance trend constraint

Cai,

Sun,

Yao

et al. 2024

GEOPHYSICS

View full text Add to dashboard Cite

The seismic images produced by pre-stack depth migration show more accurate subsurface structures than time images, resulting in a growing need for depth-domain inversion. However, due to the strong non-stationarity exhibited by depth-domain seismic data, time-domain inversion methods based on the convolutional model cannot be directly applied in the depth domain. To address this issue, we have developed a method for extracting a depth-variant seismic wavelet, which is then combined with a non-stationary convolutional model to enable direct inversion of the depth-domain acoustic impedance. First, we extend the Morlet wavelet to the depth domain and propose an orthogonal matching pursuit spectral decomposition method using the depth-domain Morlet wavelet. We then investigate the waveforms and wavenumber spectra similarities between the depth-domain Morlet wavelet and depth-domain Ricker wavelet and extract depth-variant Ricker wavelets from the depth-wavenumber spectrum. We add a depth-domain impedance trend constraint to the conventional basis pursuit inversion to enhance the lateral continuity of the inversion results. Then, we attain direct inversion of the depth-domain acoustic impedance. Tests of synthetic and field data demonstrate that the proposed method achieves high-accuracy inversion results while maintaining high computational efficiency, highlighting our approach's effectiveness and strong reservoir characterization potential.

show abstract

Least-squares migration in the image-domain and depth-domain inversion: A Gulf of Mexico case study

Cited by 5 publications

References 3 publications

Experiences of image-domain least-squares migration for quantitative interpretation

Experiences of image-domain least-squares migration for quantitative interpretation

A Wavelet Extraction Method of Attenuation Media for Direct Acoustic Impedance Inversion in Depth Domain

A depth-variant seismic wavelet extraction method for basis pursuit inversion with an impedance trend constraint

Contact Info

Product

Resources

About