Sensitivity evaluation of a seismic interpolation algorithm
Doan Huy Hien 1 3 Seonghuyng Jang 2 Ta Quang Minh 1 Bui Viet Dung 1 Nguyen Thanh Tung 11 Vietnam Petroleum Institute, 167 Trung Kinh Street, Hanoi, Vietnam.
2 Korea Institute of Geosciences and Mineral Resources, 167 Gwangha-no Youseong-gu, Daejeon 3402, Korea.
3 Corresponding author. Email: hiendh.epc@vpi.pvn.vn
Exploration Geophysics 49(6) 833-843 https://doi.org/10.1071/EG17058
Submitted: 21 March 2017 Accepted: 19 November 2017 Published: 12 February 2018
Abstract
Sparse seismic acquisition is a new trend in seismic exploration, as it costs much less than conventional methods. To maintain the initial resolution of the seismic image, we propose several ways to sample data irregularly but periodically. These were tested by decimating the synthetic data, then interpolating, imaging and inversion. At every processing step, we quantified the effect of interpolation by comparing the results with those from the fully sampled data. Once the numerical test suggested the best decimation scheme, we were able to proceed to test the real dataset. This test confirmed that sparse acquisition using 60% of the available data is feasible.
Key words: FWI, imaging, interpolation, seismic processing, sparse acquisition.
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