Browse > Article
http://dx.doi.org/10.7582/GGE.2022.25.4.203

Comparison of the 2D/3D Acoustic Full-waveform Inversions of 3D Ocean-bottom Seismic Data  

Hee-Chan, Noh (Dept. of Environment and Energy, Jeonbuk National University)
Sea-Eun, Park (Dept. of Environment and Energy, Jeonbuk National University)
Hyeong-Geun, Ji (Dept. of Environment and Energy, Jeonbuk National University)
Seok-Han, Kim (Dept. of Environment and Energy, Jeonbuk National University)
Xiangyue, Li (University Education Innovation Center, Jungwon University)
Ju-Won, Oh (Dept. of Mineral Resources and Energy Engineering, Jeonbuk National University)
Publication Information
Geophysics and Geophysical Exploration / v.25, no.4, 2022 , pp. 203-213 More about this Journal
Abstract
To understand an underlying geological structure via seismic imaging, the velocity information of the subsurface medium is crucial. Although the full-waveform inversion (FWI) method is considered useful for estimating subsurface velocity models, 3D FWI needs a lot-of computing power and time. Herein, we compare the calculation efficiency and accuracy of frequency-domain 2D and 3D acoustic FWIs. Thereafter, we demonstrate that the artifacts from 2D approximation can be partially suppressed via frequency-domain 2D FWI by employing diffraction angle filtering (DAF). By applying DAF, which employs only big reflection angle components, the impact of noise and out-of-plane reflections can be reduced. Additionally, it is anticipated that the DAF can create long-wavelength velocity structures for 3D FWI and migration.
Keywords
Ocean bottom seismic; 3D acoustic full-waveform inversion; 2D approximation; Diffraction angle filtering;
Citations & Related Records
Times Cited By KSCI : 4  (Citation Analysis)
연도 인용수 순위
1 Plessix, R. E., 2006, A review of the adjoint-state method for computing the gradient of a functional with geophysical applications, Geophysical Journal International, 167(2), 495-503. doi:10.1111/j.1365-246X.2006.02978.x   DOI
2 Pratt, R. G., Shin, C., and Hick, G. J., 1998, Gauss-Newton and full Newton methods in frequency-space seismic waveform inversion, Geophysical journal international, 133(2), 341-362. doi:10.1046/j.1365-246X.1998.00498.x   DOI
3 Ravasi, M., Vasconcelos, I., Curtis, A., and Kritski, A., 2015, Vector-acoustic reverse time migration of Volve ocean-bottom cable data set without up/down decomposed wavefields, Geophysics, 80(4), S137-S150. doi:10.1190/geo2014-0554.1   DOI
4 Rocha, D., Tanushev, N., and Sava, P., 2016, Acoustic wavefield imaging using the energy norm, Geophysics, 81(4), S151-S163. doi:10.1190/geo2015-0486.1   DOI
5 Sen, S., and Ganguli, S. S., 2019, Estimation of pore pressure and fracture gradient in Volve field, Norwegian North Sea, In SPE oil and gas india conference and exhibition, OnePetro. doi:10.2118/194578-MS   DOI
6 Shin, C., and Min, D. J., 2006, Waveform inversion using a logarithmic wavefield. Geophysics, 71(3), R31-R42. https://sspace.snu.ac.kr/bitstream/10371/6107/1/Logarithm_inversion_2006_CSShin.pdf   DOI
7 Shin, C., Jang, S., and Min, D. J., 2001, Improved amplitude preservation for prestack depth migration by inverse scattering theory, Geophysical Prospecting, 49(5), 592-606. doi:10.1046/j.1365-2478.2001.00279.x   DOI
8 Shin, Y., Oh, J. W., Kim, S., and Min, D. J., 2019, Monocomponent multiparameter acoustic full waveform inversion in vertically transverse isotropic media using converted vector wavefields, Journal of Applied Geophysics, 170, 103816. doi:10.1016/j.jappgeo.2019.07.010   DOI
9 Shin, Y., Oh, J. W., and Min, D. J., 2021, An efficient multiparameter acoustic anisotropic full-waveform inversion depending on parameterization, Acta Geophysica, 69(4), 1257-1267. https://link.springer.com/article/10.1007/s11600-021-00609-2   DOI
10 Tarantola, A., 1984, Inversion of seismic reflection data in the acoustic approximation, Geophysics, 49(8), 1259-1266. https://www.ipgp.fr/~tarantola/Files/Professional/Papers_PDF/InversionOfSeismic.pdf   DOI
11 Virieux, J., and Operto, S., 2009, An overview of full-waveform inversion in exploration geophysics, Geophysics, 74(6), WCC1-WCC26. doi:10.1190/1.3238367   DOI
12 Wang, B., Sharma, J., Chen, J., and Persaud, P., 2021, Ensemble machine learning assisted reservoir characterization using field production data-an offshore field case study, Energies, 14(4), 1052. doi:10.3390/en14041052   DOI
13 Whitmore, N. D., and Crawley, S., 2012, Applications of RTM inverse scattering imaging conditions, In 2012 SEG Annual Meeting, OnePetro. https://onepetro.org/SEGAM/proceedings-abstract/SEG12/All-SEG12/SEG-2012-0779/98158
14 Zelt, C. A., and Zelt, B. C., 1998, Study of out-of-plane effects in the inversion of refraction/wide-angle reflection traveltimes, Tectonophysics, 286, 209-221. doi:10.1016/S0040-1951(97) 00266-7   DOI
15 Zhou, W., Brossier, R., Operto, S., Virieux, J., and Yang, P., 2018, Velocity model building by waveform inversion of early arrivals and reflections: A 2D case study with gas-cloud effects, Geophysics, 83(2), R141-R157. doi:10.1190/geo2017-0282.1 inversion using adam optimizer, Geophysics and Geophysical Exploration, 22(4), 202-209. doi:10.7582/GGE.2019.22.4.202   DOI
16 Hwang, J., Oh, J. W., and Min, D. J., 2022, Acoustic fullwaveform inversion to match far-offset reflections with pseudo-horizontal particle acceleration data, Exploration Geophysics, 53(2), 211-228. doi:10.1080/08123985.2021.1919016   DOI
17 Alguliyev, R., Aliguliyev, R., Imamverdiyev, Y., and Sukhostat, L., 2022, History matching of petroleum reservoirs using deep neural networks, Intelligent Systems with Applications, 16, 200128. doi:10.1016/j.iswa.2022.200128   DOI
18 Biondi, B. L., 2006, 3D seismic imaging, Society of Exploration Geophysicists, 17p. https://library.seg.org/doi/pdf/10.1190/1.9781560801689.fm
19 da Costa Filho, C. A., Meles, G. A., Curtis, A., Ravasi, M., and Kritski, A., 2018, Imaging strategies using focusing functions with applications to a North Sea field, Geophysical Journal International, 213(1), 561-573. doi:10.1093/gji/ggx562   DOI
20 Kim, D., Hwang, J., Min, D. J., Oh, J. W., and Alkhalifah, T., 2022, Two-step full waveform inversion of diving and reflected waves with the diffraction-angle-filtering-based scale-separation technique, Geophysical Journal International, 229(2), 880-897. doi: 10.1093/gji/ggab522   DOI
21 Kim, S., Chung, W., and Shin, S., 2019, Acoustic full-waveform inversion using adam optimizer, Geophysics and Geophysical Exploration, 22(4), 202-209. doi:10.7582/GGE.2019.22.4.202   DOI
22 Mulder, W. A., and Plessix, R. E., 2008, Exploring some issues in acoustic full waveform inversion, Geophysical Prospecting, 56(6), 827-841. doi:10.1111/j.1365-2478.2008.00708.x   DOI
23 Nguyen, B. D., and McMechan, G. A., 2013, Excitation amplitude imaging condition for prestack reverse-time migration, Geophysics, 78(1), 37-46. doi:10.1190/geo2012-0079.1   DOI
24 Oh, J. W., and Alkhalifah, T., 2018b, Optimal full-waveform inversion strategy for marine data in azimuthally rotated elastic orthorhombic media, Geophysics, 83(4), R307-R320. doi:10.1190/geo2017-0762.1   DOI
25 Oh, J. W., and Alkhalifah, T., 2016, The scattering potential of partial derivative wavefields in 3-D elastic orthorhombic media: an inversion prospective, Geophysical Journal International, 206(3), 1740-1760. doi:10.1093/gji/ggw238   DOI
26 Oh, J. W., Kalita, M., and Alkhalifah, T., 2018, 3D elastic fullwaveform inversion using P-wave excitation amplitude: Application to ocean bottom cable field data, Geophysics, 83(2), R129-R140. doi:10.1190/geo2017-0236.1   DOI
27 Oh, J. W., and Alkhalifah, T., 2018a, Full waveform inversion using envelope-based global correlation norm, Geophysical Journal International, 213(2), 815-823. doi:10.1093/gji/ggy031   DOI
28 Oh, J. W., and Alkhalifah, T., 2019, Study on the full?waveform inversion strategy for 3D elastic orthorhombic anisotropic media: Application to ocean bottom cable data, Geophysical Prospecting, 67(5), 1219-1242. doi:10.1111/1365-2478.12768   DOI
29 Oh, J. W., Cheng, J., and Min, D. J., 2021, Diffraction-angle filtering of gradient for acoustic full-waveform inversion Diffraction-angle filtering for AFWI, Geophysics, 86(2), R173-R185. doi:10.1190/geo2019-0801.1   DOI
30 Oh, J. W., 2022, Review of 3D Anisotropic seismic imaging technology, Journal of the Korean Society of Mineral and Energy Resources Engineers, 59(2), 240-258. https://www.jksmer.or.kr/articles/article/n24K/   DOI
31 Operto, S., Brossier, R., Combe, L., Metivier, L., Ribodetti, A., and Virieux, J., 2014, Computationally efficient three-dimensional acoustic finite-difference frequency-domain seismic modeling in vertical transversely isotropic media with sparse direct solver, Geophysics, 79(5), T257-T275. doi:10.1190/geo2013-0478.1   DOI