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Application of seismic anisotropy fluid detection technology in the Ken 71 well block of Shengli Oilfield

Applied Geophysics 2011年第2期8卷 117-124,176,177页

作者：毕丽飞钱忠平张峰陈晓燕韩世春 Mark Chapman 中国地质大学(武汉) 湖北武汉430074 胜利油田物探院山东东营257001 东方地球物理公司物探技术研究中心河北涿州072751 UK Imperial College LondonSW72AZUK 胜利油田钻井工程技术公司山东东营257064 The University of Edinburgh EdinburghEH9 3LAUK

On the basis of Chapman＇s（2003） model,as the seismic wave incidences angles vary from 0° to 45° while propagating in anisotropic media（HTI）,the slow S-wave will sufferred by serious attenuation and dispersion and is sensitive to fluid viscosity but the P-and fast S-waves don＇*** slow S waves propagating normal to fractures,the amplitudes are strongly affected by pore ***,the slow S-wave can be used to detect fractured reservoir fluid information when the P-wave response is insensitive to the *** this paper,3D3C seismic data from the Ken 71 area of Shengli Oilfield are processed and *** travel time and amplitude anomalies of slow S-waves are detected and correlated with well log *** S-wave splitting in a water-bearing zone is higher than in an oil-bearing ***,the slow S-wave amplitude change is more significant in water-bearing zones than in oil-bearing zones.

关键词： anisotropy slow S-wave fluid detection

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The analysis of frequency-dependent characteristics for fluid detection: a physical model experiment

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Applied Geophysics 2012年第2期9卷 195-206,235,236页

作者：陈双全李向阳王尚旭中国石油大学(北京)油气资源与探测国家重点实验室北京102249 中国石油大学(北京)物探重点实验室北京102249 英国地质调查局 Murchison HouseWest Mains RoadEdinburgh EH93LAU.K

According to the Chapman multi-scale rock physical model, the seismic response characteristics vary for different fluid-saturated reservoirs. For class I AVO reservoirs and gas-saturation, the seismic response is a high-frequency bright spot as the amplitude energy shifts. However, it is a low-frequency shadow for the Class III AVO reservoirs saturated with hydrocarbons. In this paper, we verified the high-frequency bright spot results of Chapman for the Class I AVO response using the frequency-dependent analysis of a physical model dataset. The physical model is designed as inter-bedded thin sand and shale based on real field geology parameters. We observed two datasets using fixed offset and 2D geometry with different fluid- saturated conditions. Spectral and time-frequency analyses methods are applied to the seismic datasets to describe the response characteristics for gas-, water-, and oil-saturation. The results of physical model dataset processing and analysis indicate that reflection wave tuning and fluid-related dispersion are the main seismic response characteristic mechanisms. Additionally, the gas saturation model can be distinguished from water and oil saturation for Class I AVO utilizing the frequency-dependent abnormal characteristic. The frequency-dependent characteristic analysis of the physical model dataset verified the different spectral response characteristics corresponding to the different fluid-saturated models. Therefore, by careful analysis of real field seismic data, we can obtain the abnormal spectral characteristics induced by the fluid variation and implement fluid detection using seismic data directly.

关键词： Frequency-dependent characteristic fluid detection time-frequency analysis attenuation and dispersion physical model

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