Application of Seismic Motion Inversion Method in Depth Domain at the Early Stage of Development

Hao, Ji‐Long; Zhang, Yajun; Wang, Youjing; Zhou, L. V.

doi:10.1007/978-981-19-2149-0_74

Cited by 2 publications

(2 citation statements)

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“…It can be found from Equation (10) that the effect of the wavenumber spectrum of the source wavelet by the wavenumber-domain 3D Green function can be divided into three parts: spherical divergence caused by 1/(4π|x − x 0 |), attenuation of different wavenumber components caused by [k − i tan(πγ/2)|k|], and dispersion caused by |k 0 | γ / v 0 |k| γ . This results in the attenuation of amplitude and the waveform change for the depth-domain source wavelet.…”

Section: Influence Of Attenuation Media On Depth-domain Source Waveletsmentioning

confidence: 99%

“…The first category of methods does not consider non-stationarity and treats depth-domain seismic data like time-domain seismic data. Typical approaches for this category include deep learning [7][8][9] and seismic waveform indicator inversion [10,11]. Deep learning trains a nonlinear mapping between well logs and well bypass seismic traces.…”

Section: Introductionmentioning

confidence: 99%

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

Sun,

Cai,

Yao

2024

Applied Sciences

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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

Section: Influence Of Attenuation Media On Depth-domain Source Waveletsmentioning

confidence: 99%

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

show abstract

A depth-variant wavelet extraction method based on the orthogonal matching pursuit for direct inversion

Cai,

Sun,

Yao

2024

Geoenergy Science and Engineering

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Application of Seismic Motion Inversion Method in Depth Domain at the Early Stage of Development

Cited by 2 publications

References 1 publication

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

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

A depth-variant wavelet extraction method based on the orthogonal matching pursuit for direct inversion

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