Seismic depth imaging of sequence boundaries beneath the New Jersey shelf
Seismic depth imaging of sequence boundaries beneath the New Jersey shelf
复制标题
新泽西陆架下方层序边界的地震深度成像
DOI:
10.1007/s11001-018-9360-9
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发表时间:
2018
影响因子:
1.4
通讯作者:
Aßhoff
中科院分区:
文献类型:
--
作者:
Riedel;Reiche;Aßhoff
Numerical modelling of fluid flow and transport processes relies on a well-constrained geological model, which is usually provided by seismic reflection surveys. In the New Jersey shelf area a large number of 2D seismic profiles provide an extensive database for constructing a reliable geological model. However, for the purpose of modelling groundwater flow, the seismic data need to be depth-converted which is usually accomplished using complementary data from borehole logs. Due to the limited availability of such data in the New Jersey shelf, we propose a two-stage processing strategy with particular emphasis on reflection tomography and pre-stack depth imaging. We apply this workflow to a seismic section crossing the entire New Jersey shelf. Due to the tomography-based velocity modelling, the processing flow does not depend on the availability of borehole logging data. Nonetheless, we validate our results by comparing the migrated depths of selected geological horizons to borehole core data from the IODP expedition 313 drill sites, located at three positions along our seismic line. The comparison yields that in the top 450 m of the migrated section, most of the selected reflectors were positioned with an accuracy close to the seismic resolution limit (≈ 4 m) for that data. For deeper layers the accuracy still remains within one seismic wavelength for the majority of the tested horizons. These results demonstrate that the processed seismic data provide a reliable basis for constructing a hydrogeological model. Furthermore, the proposed workflow can be applied to other seismic profiles in the New Jersey shelf, which will lead to an even better constrained model.
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DOI:
10.1190/1.1885789
发表时间:
1997
期刊:
Seg Technical Program Expanded Abstracts
影响因子:
--
作者:
D. Kosloff;Uri I. Zackhem;Z. Koren
通讯作者:
Z. Koren
DOI:
10.1190/1.1820113
发表时间:
1998
期刊:
Seg Technical Program Expanded Abstracts
影响因子:
--
作者:
M. Woodward;P. Farmer;D. Nichols;S. Charles
通讯作者:
M. Woodward;P. Farmer;D. Nichols;S. Charles
影响因子:
2.8
作者:
D. Monteverde;K. Miller;G. Mountain
通讯作者:
G. Mountain
影响因子:
3.3
作者:
J. Bradford;L. Liberty;M. Lyle;W. P. Clement;S. Hess
通讯作者:
S. Hess
影响因子:
2.5
作者:
R. Geldern;Takeshi Hayashi;M. Böttcher;M. Mottl;J. Barth;S. Stadler
通讯作者:
S. Stadler