Improved seismic characterization through facies based inversion in the depth domain

Waters, K.; Kemper, M.; Gunning, James

doi:10.1190/segam2019-3216300.1

Cited by 5 publications

(2 citation statements)

References 7 publications

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“…And the matured methods in other domains have been used to carry out inversion before returning the inversion results to the depth domain. Examples of this include depthtime-depth conversion [13] and pseudo-depth conversion [14]. The depth-time-depth conversion converts seismic data between the depth and time domains using the time-depth relation [13], and the pseudo-depth conversion converts seismic data between the depth and pseudo-depth domains using both constant velocity substitution and pseudo-depthdepth relations [14].…”

Section: Introductionmentioning

confidence: 99%

“…Examples of this include depthtime-depth conversion [13] and pseudo-depth conversion [14]. The depth-time-depth conversion converts seismic data between the depth and time domains using the time-depth relation [13], and the pseudo-depth conversion converts seismic data between the depth and pseudo-depth domains using both constant velocity substitution and pseudo-depthdepth relations [14]. Building on the pseudo-depth conversion, Singh (2012) and Jiang et al (2019) developed deterministic seismic inversion workflows for rock properties [15,16].…”

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.

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