journal article·2024-03-15Open access

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

Chengyu Sun, Ruiqian Cai, Zhen’an Yao

Applied Sciences· Volume 14· Issue 6

Abstract

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.
Source: crossref · Quality: baseline

Research context

OpenAlex topics: Seismic Imaging and Inversion Techniques · Underwater Acoustics Research · Geophysical Methods and Applications

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

School of Geosciences, China University of Petroleum (East China), Qingdao 266580, China

State Key Laboratory of Nuclear Resources and Environment, East China University of Technology, Nanchang 330013, China

Funding

National Natural Science Foundation of China

References (41)

Show source-provided references
1. Etgen, J.T., and Kumar, C. (2012, January 6–11). What really is the difference between Time and Depth Migration? A tutorial. Proceedings of the 82nd Annual International Meeting, SEG, Expanded Abstracts, Salt Lake City, UT, USA.10.1190/segam2012-0266.1 ↗
2. Cai, R., Sun, C., and Li, S. (September, January 28). A strategy for acoustic impedance direct inversion in depth domain. Proceedings of the Second International Meeting for Applied Geoscience & Energy, SEG, Expanded Abstracts, Houston, TA, USA.
3. Li, B., Sun, M., Xiang, C., and Bai, Y. (2022). Least-Squares Reverse Time Migration in Imaging Domain Based on Global Space-Varying Deconvolution. Appl. Sci., 12.10.3390/app12052361 ↗
4. Liang, H., Zhang, H., and Liu, H. (2023). Estimation of Relative Acoustic Impedance Perturbation from Reverse Time Migration Using a Modified Inverse Scattering Imaging Condition. Appl. Sci., 13.10.3390/app13095291 ↗
5. Li, S., Peng, G., Wang, J., and Tian, T. (2020, January 11–16). Advantages and applications of seismic data interpretation in depth domain. Proceedings of the 90nd Annual International Meeting, SEG, Expanded Abstracts, Houston, TX, USA.10.1190/segam2020-3427439.1 ↗
6. Lin, T., Zhang, B., Guo, S., Marfurt, K., Wan, Z., and Guo, Y. (2012, January 6–11). Spectral decomposition of time-versus depth-migrated data. Proceedings of the 82nd Annual International Meeting, SEG, Expanded Abstracts, Salt Lake City, UT, USA.10.1190/segam2013-1166.1 ↗
7. Depth-domain seismic reflectivity inversion with compressed sensing technique10.1190/INT-2016-0005.1 ↗
8. Joint Learning for Spatial Context-based Seismic Inversion of Multiple Datasets for Improved Generalizability and Robustness10.1190/geo2020-0432.1 ↗
9. Seismic impedance inversion in depth domain based on deep learning
10. Hao, J., Zhang, Y., Wang, Y., and Zhou, L.V. (2021, January 11–16). Application of Seismic Motion Inversion Method in Depth Domain at the Early Stage of Development. Proceedings of the International Field Exploration and Development Conference 2021, Qingdao, China.10.1007/978-981-19-2149-0_74 ↗
11. Hao, J., Wu, S., Yang, J., Zhang, Y., and Sha, X. (2023). Application of Seismic Waveform Indicator Inversion in the Depth Domain: A Case Study of Pre-Salt Thin Carbonate Reservoir Prediction. Energies, 16.10.3390/en16073073 ↗
12. Meza Ramses, G. (October, January 26). Colored inversion in depth domain. Proceedings of the First International Meeting for Applied Geoscience & Energy, SEG, Expanded Abstracts, Denver, CO, USA.
13. Waters, K., and Kemper, M. (2019, January 15–20). Improved seismic characterization through facies based inversion in the depth domain. Proceedings of the 89th Annual International Meeting, SEG, Expanded Abstracts, San Antonio, TA, USA.10.1190/segam2019-3216300.1 ↗
14. Hu, Z., Zhu, H., Lin, B., and Xu, S. (2007, January 23–28). Wavelet analysis and convolution in depth domain. Proceedings of the 77th Annual International Meeting, SEG, Expanded Abstracts, San Antonio, TA, USA.10.1190/1.2793034 ↗
15. Deterministic inversion of seismic data in the depth domain10.1190/tle31050538.1 ↗
16. Impedance inversion of pre-stack seismic data in the depth domain10.1007/s11770-019-0791-0 ↗
17. Sun, Q., Zong, Z., Yin, X., and Meng, X. (2018, January 11–16). Amplitude variation with incident angle inversion for fluid factor in the depth domain. Proceedings of the 88th Annual International Meeting, SEG, Expanded Abstracts, Anaheim, CA, USA.10.1190/segam2018-2997499.1 ↗
18. Zhang, J., Chen, X., Luo, X., and Li, J. (2018, January 24–27). Seismic wavelet estimation in depth domain using Gibbs sampling-based Bayesian method. Proceedings of the 2018 CPS/SEG International Geophysical Conference, Beijing, China.10.1190/IGC2018-288 ↗
19. Estimation of the depth-domain seismic wavelet based on velocity substitution and a generalized seismic wavelet model10.1190/geo2020-0745.1 ↗
20. Direct depth domain Bayesian amplitude-variation-with-offset inversion10.1190/geo2020-0219.1 ↗
21. Fletcher, R.P., Archer, S., Nichols, D., and Mao, W. (2012, January 6–11). Inversion after depth imaging. Proceedings of the 82nd Annual International Meeting, SEG, Expanded Abstracts, Salt Lake City, UT, USA.10.1190/segam2012-0427.1 ↗
22. Least-squares migration? Data domain versus image domain using point spread functions10.1190/tle35020157.1 ↗
23. A depth variant seismic wavelet extraction method for inversion of post-stack depth-domain seismic data10.1190/geo2017-0816.1 ↗
24. Depth-domain angle and depth variant seismic wavelets extraction for prestack seismic inversion10.1190/geo2021-0647.1 ↗
25. Letki, L., Tang, J., and Du, X. (2015, January 1–4). Depth domain inversion case study in complex subsalt area. Proceedings of the 77th EAGE Conference and Exhibition 2015, Madrid, Spain.10.3997/2214-4609.201412915 ↗
26. Depth domain inversion to improve the fidelity of subsalt imaging: A Gulf of Mexico case study10.3997/1365-2397.33.9.82617 ↗
27. Letki, L., Darke, K., and Borges, Y.A. (2015, January 18–23). A comparison between time domain and depth domain inversion to acoustic impedance. Proceedings of the 85th Annual International Meeting, SEG, Expanded Abstracts, New Orleans, LA, USA.10.1190/segam2015-5897069.1 ↗
28. Leon, L., Inyang, C., Hegazy, M., and Hydal, S. (2018, January 11–16). Least-squares migration in the image domain and depth-domain inversion: A Gulf of Mexico case study. Proceedings of the 88th Annual International Meeting, SEG, Expanded Abstracts, Anaheim, CA, USA.10.1190/segam2018-2996955.1 ↗
29. Cavalca, M., Fletcher, R.P., and Du, X. (2015, January 1–4). Q-compensation through depth domain inversion. Proceedings of the 77th EAGE Conference and Exhibition 2015, Madrid, Spain.10.3997/2214-4609.201413250 ↗
30. Caprioli, P., Du, X., and Fletcher, R.P. (2015, January 1–4). Deghosting through depth domain inversion. Proceedings of the 77th EAGE Conference and Exhibition 2015, Madrid, Spain.10.3997/2214-4609.201412902 ↗
31. Du, X., Fletcher, R.P., and Cavalca, M. (2015, January 1–4). Prestack depth-domain inversion after reverse time migration. Proceedings of the 78th EAGE Conference and Exhibition 2016, Vienna, Austria.10.3997/2214-4609.201601429 ↗
32. Sengupta, M., and Zhang, H. (2018, January 11–16). Direct depth domain elastic inversion. Proceedings of the 88th Annual International Meeting, SEG, Expanded Abstracts, Anaheim, CA, USA.10.1190/segam2018-2984074.1 ↗
33. Paxton, A., Kholiq, A., Zhang, L., Shadlow, J., and Shadrina, M. (2022, January 6–9). Large-scale pre-stack seismic depth-domain inversion: A case study from the Northern Carnarvon basin, Offshore Austria. Proceedings of the 83rd EAGE Conference and Exhibition 2022, Madrid, Spain.10.3997/2214-4609.202210228 ↗
34. Shadrina, M., Leone, C., Cavalca, M., Fletcher, R., and Gherasim, M. (2019, January 1–4). 4D Depth-domain inversion: Recovering time-lapse signal from non-repeatable surveys. Proceedings of the Second EAGE Workshop Practical Reservoir Monitoring 2019, Amsterdam, The Netherlands.10.3997/2214-4609.201900025 ↗
35. Cavalca, M., Fletcher, R.P., Shadrina, M., Leone, C., and Leon, L. (2020, January 11–16). Depth-domain inversion for enhanced quantitative interpretation. Proceedings of the First EAGE Conference on Seismic Inversion 2020, Online.10.3997/2214-4609.202037038 ↗
36. Generalized seismic wavelets10.1093/gji/ggv346 ↗
37. Pati, Y.C., Rezaiifar, R., and Krishnaprasad, P.S. (1993, January 1–3). Orthogonal matching pursuit: Recursive function approximation with applications to wavelet decomposition. Proceedings of the 27th Asilomar Conference on Signals, Systems and Computers, Expanded Abstracts, Pacific Grove, CA, USA.
38. Reducing computation cost by Lax-Wendroff methods with fourth-order temporal accuracy10.1190/geo2018-0196.1 ↗
39. An analytic signal-based accurate time-domain viscoacoustic wave equation from the constant-Q theory10.1190/geo2020-0154.1 ↗
40. The form and laws of propagation of seismic wavelets10.1190/1.1437843 ↗
41. Learning overcomplete dictionaries based on atom-by-atom updating10.1109/TSP.2013.2295062 ↗