پیوندهای مفید
اخبار و اعلانات
آمار
| تعداد نشریات | 161 |
| تعداد شماره‌ها | 6,532 |
| تعداد مقالات | 70,501 |
| تعداد مشاهده مقاله | 124,107,847 |
| تعداد دریافت فایل اصل مقاله | 97,212,558 |
Optimizing design of 3D seismic acquisition by CRS trace interpolation | ||
| فیزیک زمین و فضا | ||
| مقاله 1، دوره 42، شماره 4، دی 1395، صفحه 1-12 اصل مقاله (1.21 M) | ||
| شناسه دیجیتال (DOI): 10.22059/jesphys.2016.58886 | ||
| نویسندگان | ||
| Mehrdad ُSoleimani* ؛ Amin Roshandel Kahoo | ||
| Faculty membre | ||
| چکیده | ||
| Land seismic data acquisition in most of cases suffers from obstacles in fields which deviates geometry of the real acquired data from what was designed. These obstacles will cause gaps, narrow azimuth and offset limitation in the data. These shortcomings, not only prevents regular trace distribution in bins, but also distorts the subsurface image by reducing illumination of the target formation. However, there are some methods available that can compensate gaps in data due to field obstacles mainly by trace interpolation techniques. The common reflection surface (CRS) method which was previously introduced for seismic imaging in complex geological structures also could be used for trace interpolation to fill the gaps and increase fold of the data. In this study, we combined two different methods of trace interpolation and distribution in bins for solving the problem of gaps and low illumination of the target formation in a 3D seismic acquisition study area in SW Iran. After processing old 2D lines available from the same area, the CRS parameters were obtained for proper definition of the acquisition design. Then by combining the CRS trace interpolation scheme and trace distribution, possible gaps in the data was resolved and regular trace distribution in all bins and azimuths were achieved. Result showed increasing in redundancy in bins which will prevent occurring gaps in data in case of inevitable field obstacles. Result shows that this strategy could be used to construct lost traces and prevent further problem in seismic imaging. | ||
| کلیدواژه‌ها | ||
| Seismic acquisition؛ CRS؛ trace interpolation؛ seismic imaging؛ binning | ||
| عنوان مقاله [English] | ||
| Optimizing design of 3D seismic | ||
| مراجع | ||
|
Andrade, L., Höcht, G., Landa, E. and Spitz, S., 2005, QC of a marine seismic trace reconstruction technique, SEG annual meeting, Huston, USA.
Battaglia, E., 2013, Seismic refection imaging of near surface structures using the common refection surface (CRS) stack method, Ph.D. dissertation, University of Cagliari, Italy.
Cameron, M., Fomel, S. and Sethian, J., 2008, Time-to-depth conversion and seismic velocity estimation using time-migration velocity, Geophysics, 73, 205-210.
Chen, Y., Huang, W., Zhang, D. and Chen, W., 2016, An open-source Matlab code package for improved rank-reduction 3D seismic data denoising and reconstruction, Computers & Geosciences, published online, doi: 10.1016/j.cageo.2016.06.017.
Chira-Oliva1, P., Cruz, J. C. R., Garabito, G., Hubral, P. and Tygel, M., 2005, 2D ZO CRS stack by considering an acquisition line with smooth topography, Revista Brasileira de Geofisica, 23(1), 15-25.
Cardone, G., Cristini, A., Marchetti, P., Zambonini, R., Hubral, P. and Mann, J., 2003, 3D zero offset CRS stack for narrow azimuth data: formulation and examples, EAGE/SEG Research Workshop, Trieste, Italy.
Coman, R., Gierse, G., Trappe, H., Robinson, S., Owens, M. and Nielsen, E. M., 2005, CRS seismic processing, A new approach to obtain high-resolution images from sparse 3D-exploration surveys, International Petroleum Technology Conference, Doha, Qatar.
Eisenberg-Klein, G., Pruessmann, J., Gierse, G. and Trappe, H., 2008, Noise reduction in 2D and 3D seismic imaging by the CRS method, The Leading Edge, 27(2), 258-265.
Gierse, G., Pruessmann, J. and Coman, R., 2006, CRS strategies for solving severe static and imaging issues in seismic data from Saudi Arabia., Geophysical Prospecting, 54(6), 709-719.
Gierse, G., Trappe, H., Pruessmann, J., Eisenberg-Klein, G., Lynch, J. and Clark, D., 2009, Enhanced velocity analysis, binning, gap infill, and imaging of sparse 2D/3D seismic data by CRS techniques, SEG Annual Meeting, Houston, Texas.
Höcht, G., Ricarte, P., Bergler, S. and Landa, E., 2009, Operator oriented CRS interpolation, Geophysical Prospecting, 57, 957-979.
Hubral, P., 1999, Macro-model independent seismic reflection imaging, Journal of Applied Geophysics, 42, special issue.
Jäger, R., 1999, The common reflection surface stack: theory and application, Diploma thesis, University of Karlsruhe.
Kim, B., Jeong, S. and Byun, J., 2015, Trace interpolation for irregularly sampled seismic data using curvelet-transform-based projection onto convex sets algorithm in the frequency–wavenumber domain, Journal of Applied Geophysics, 118, 1-14, doi: 10.1016/j.jappgeo.2015.04.007.
Koglin, I., Mann, J. and Heilmann, Z., 2006, CRS-stack-based residual static correction, Geophysics, 54, 697-707.
Liu, W., Cao, S., Li, G. and He, Y., 2015, Reconstruction of seismic data with missing traces based on local random sampling and curvelet transform, Journal of Applied Geophysics, 115, 129-139, doi: 10.1016/j.jappgeo.2015.02.009.
Mann, J., 2002, Extensions and applications of the common-reflection-surface stack method, Ph.D. thesis, University of Karlsruhe.
Panea, I., Landa, E., Drijkoningen, G.G. and Baina, R., 2005, Improvement of seismic imaging in a low signal-to-noise area by the use of post-stack stereotomography, Journal of Balkan geophysical society, 18(4), 161-174.
Poole, G., 2010, 5D data reconstruction using the anti-leakage Fourier transform, 72nd EAGE Conference and Exhibition, Expanded abstracts, B046.
Pruessmann, J., Bergmann, P., Gierse, G., Lippmann, A. and Lüth, S., 2012, CRS workflow for improved seismic resolution and monitoring of the Ketzin storage site, 74th EAGE Conference and Exhibition, workshops. Spitz, S., 1991, Seismic trace interpolation in the F-X domain, Geophysics, 56(6), 785-794. doi: 10. 1190/1.1443096
Sui, F., Li, Z., Sun, X., Li, F. and Li, D., 2009, Successful application of optimized aperture based CRS stack in the Shengli exploration area, Applied geophysics, 6, 377-383.
Trad, D., 2009, Five-dimensional interpolation: recovering from acquisition constraints, Geophysics, 74, 123-135.
Vafidis, A., Andronikidis, N., Economou, N., Panagopoulos, G., Zelilidis, A. and MManoutsoglou, E., 2012, Reprocessing and interpretation of seismic reflection data at Messara Basin, Crete, Greece, Journal of the Balkan geophysical society, 15(2) 31-40.
Yang, P. and Gao, J., 2015, Enhanced irregular seismic interpolation using approximate shrinkage operator and Fourier redundancy, Journal of Applied Geophysics, 116, 43-50, doi: 10.1016/j.jappgeo.2015.02.007.
Yang, P., Gao, J. and Chen, W., 2013, On analysis-based two-step interpolation methods for randomly sampled seismic data, Computers & Geosciences, 51, 449-461, doi: 10.1016/j.cageo.2012.07.023.
Zhang, Y., Bergler, S. and Hubral, P., 2001, Common-reflection-surface (CRS) stack for common offset, Geophysical Prospecting, 49, 709-718. | ||
|
آمار تعداد مشاهده مقاله: 1,994 تعداد دریافت فایل اصل مقاله: 1,494 |
||