Abstract
China’s continental deposition basins are characterized by complex geological structures and various reservoir lithologies. Therefore, high precision exploration methods are needed. High density spatial sampling is a new technology to increase the accuracy of seismic exploration. We briefly discuss point source and receiver technology, analyze the high density spatial sampling in situ method, introduce the symmetric sampling principles presented by Gijs J. O. Vermeer, and discuss high density spatial sampling technology from the point of view of wave field continuity. We emphasize the analysis of the high density spatial sampling characteristics, including the high density first break advantages for investigation of near surface structure, improving static correction precision, the use of dense receiver spacing at short offsets to increase the effective coverage at shallow depth, and the accuracy of reflection imaging. Coherent noise is not aliased and the noise analysis precision and suppression increases as a result. High density spatial sampling enhances wave field continuity and accuracy of various mathematical transforms, which benefits wave field separation. Finally, we point out that the difficult part of high density spatial sampling technology is the data processing. More research needs to be done on the methods of analyzing and processing huge amounts of seismic data.
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Cai Xiling: Senior engineer. Graduated from the department of Geophysical Prospecting of the Petroleum University with a Bachelor degree in 1990, from the department of Earth Prospecting and Information Technology of Chengdu Technical University with a Masters degree in 2000, and is currently studying for the Doctors degree at the China Geology University. She has done research in geophysical prospecting methods and seismic data processing for many years. She is currently working in the Research Institute of BGP.
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Cai, X., Liu, X., Deng, C. et al. Characteristics analysis on high density spatial sampling seismic data. Appl. Geophys. 3, 48–54 (2006). https://doi.org/10.1007/s11770-006-0007-2
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DOI: https://doi.org/10.1007/s11770-006-0007-2