Marine wide-azimuth high efficient acquisition experiment: modelling and de-blending

ZHANG Qinghuai; WANG Mingxing; WU Anchu; ZHU Libin; CHEN Wujin

doi:10.16028/j.1009-2722.2022.091

2023 Vol. 39, No. 6

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Article navigation > Marine Geology Frontiers > 2023 > 39(6): 93-100

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ZHANG Qinghuai, WANG Mingxing, WU Anchu, ZHU Libin, CHEN Wujin. Marine wide-azimuth high efficient acquisition experiment: modelling and de-blending[J]. Marine Geology Frontiers, 2023, 39(6): 93-100. doi: 10.16028/j.1009-2722.2022.091

Citation:

ZHANG Qinghuai, WANG Mingxing, WU Anchu, ZHU Libin, CHEN Wujin. Marine wide-azimuth high efficient acquisition experiment: modelling and de-blending[J]. Marine Geology Frontiers, 2023, 39(6): 93-100. doi: 10.16028/j.1009-2722.2022.091

Marine wide-azimuth high efficient acquisition experiment: modelling and de-blending

1.
International Department, Sinopec Geophysical Corporation, Beijing 100020, China
2.
College of Marine Geosciences, Ocean University of China, Qingdao 266100, China
3.
Research and Development Center, Sinopec Geophysical Corporation, Nanjing 211000, China

More Information

Corresponding author: WANG Mingxing, wangmx.sips@sinopec.com

Received Date: 01 April 2022

Publish Date: 28 June 2023

Abstract

Abstract

Marine wide-azimuth high-efficient acquisition using multi-vessel and multi-cable network is increasingly noticed by petroleum companies to reduce costs through higher productivity and to improve seismic data quality through denser source sampling. One major drawback of this method is the crosstalk noise generated by the simultaneous source. It is essential to understand the characteristics of interference from this type of noise and identify proper acquisition techniques and processing workflows to reduce its impact on image quality. First, 3D finite difference modelling was performed at a complex subsurface and then data were blended by combining the synthetic shots to simulate a four-boat wide-azimuth marine seismic survey. At last, a series of processing techniques were applied to optimally de-blend the data. These techniques were tested in several different domains and also in a cascaded manner.
- wide azimuth /
- high efficient acquisition /
- forward modelling /
- de-blending /
- vector median filter

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References

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