Abstract A 3D stereotomography algorithm, which is derived from the 3D Cartesian coordinate, is applied for the first time to the deep-sea data acquired in the LH area, South China Sea, to invert a macro velocity model for pre-stack depth migration. The successful implementation of stereotomography is highly dependent on the correct extraction of slowness components and the proper application of regularization terms. With the help of the structure tensor algorithm, a high-quality 3D stereotomography data space is achieved in a very efficient manner. Then, considering that the horizontal slowness in cross-line direction is usually unavailable for 3D narrow-azimuth data, the regularization terms must be enhanced to guarantee a stable convergence of the presented algorithm. The inverted model serves as a good model for the 3D pre-stack depth migration. The synthetic and real data examples demonstrated the robustness and effectiveness of the presented algorithm and the related schemes.
This research is funded by China Natural Science Foundation (Nos. 41574098 and 41630964) and China key specialized project (No. 2016ZX05026-001-03).
Cite this article:
. Application of 3D stereotomography to the deep-sea data acquired in the South China Sea: a tomography inversion case[J]. APPLIED GEOPHYSICS, 2017, 14(1): 142-153.
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