Abstract
To describe the distribution of sandstone reservoirs between wells finely, this paper takes the sandstone reservoir of Layer NmII-4 in Qinhuangdao 32–6 Oilfield for example, and uses the seismic forward simulation and well loggings to study the channel sandstone reservoir. Under the guidance of the modern rivers and outcrops sandstone distribution pattern, the predicting limitations of the seismic forward simulation about channel sandstone boundaries such as mudstone interlayer between channel sandstone and elevation distance between adjacent channel sandstone are clear. The research shows that the mudstone interlayer can be described by seismic forward simulation seismic when the mudstone interlayer is thicker than 2 m and the channel sandstone is thicker than 10 m because of the appearance of the seismic peak when the main frequency of seismic data is nearly 60 Hz. And the elevation distance between adjacent channel sandstone can be described by the seismic forward simulation when elevation distance is longer than 6 m and the channel sandstone is thicker than 10 m because of the appearance of the seismic peak. And the seismic waveform features of single channel sandstone boundaries such as elevation distance between channels, overbank sandstone and abandoned channels. Under the study mentioned above, the single channel boundaries are described in Layer NmII-4 of Qinhuangdao 32–6 Oilfield, and the predicting boundaries are confirmed by the chemical tracers. The results show that the channel sandstone reservoir architecture characterization can be improved by the seismic forward simulation.
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Acknowledgment
This work was supported by the China National Petroleum Corporation Major Project (No. 2011E2506). We are grateful to the editors and two anonymous reviewers for their constructive comments and suggestions. The final publication is available at Springer via https://doi.org/10.1007/s12583-017-0971-x.
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Liang, H., Zhao, X., Mu, L. et al. Channel Sandstone Architecture Characterization by Seismic Simulation. J. Earth Sci. 30, 799–808 (2019). https://doi.org/10.1007/s12583-017-0971-x
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DOI: https://doi.org/10.1007/s12583-017-0971-x