Abstract：The sensitivity relations among seismic attributes, sand thickness and sand velocity have always been key topics for geophysicists. In this article we analyze some seismic attributes sensitive to interbed sandbodies. For sedimentary geological features of fan-delta front in the Dainan Formation, Gaoyou Sag, Subei Basin, five models of overlapped thin interbed sandbodies are designed: four models with local sand velocity change, and one model with cumulative thickness change. Convolution forward modeling is utilized, and 50 kinds of different seismic attributes are extracted from seismic data, then four different sensitive seismic attributes are optimized from the amplitude class and sequence class. Finally, the sensitivity relations are analysised among four sensitive seismic attributes and local sands with velocity and cumulative thickness changes. The results show that amplitude attributes are relatively more sensitive to cumulative thickness change than velocity change. Sequence attributes are quite sensitive to sand velocity and cumulative thickness changes, and its longitudinal distribution.
Li Guofa, Yue Ying, Guo Chunxiang et al. Seismic attributes analysis based on model in thin interbedded layers and its application. GPP, 2011, 50(2): 144-149.
[4]
黄真萍,王晓华,王云专. 地震信息的属性参数提取和砂体预测方法. 石油地球物理勘探,1997,32(5):669-682] Huang Zhenping, Wang Xiaohua, Wang Yunzhuan. Method for making both seismic attributive parameter extraction and sand body prediction. OGP, 1997,32(5): 669-682.
[5]
Sun Luping,Zheng Xiaodong,Shou Hao et al. Quantitative prediction of channel sand bodies based on seismic peak attributes in the frequency domain and its application. Applied Geophysics,2010,7(1):10-17.
[6]
关达,张秀容. 利用地震属性预测河道砂体. 石油物探,2004,43(1):56-58
Guan Da, Zhang Xiurong. Prediction of channel sand using seismic attribute. GPP, 2004, 43(1): 56-58.
[7]
Gao Feng. Prediction of sand thickness using seismic attributes based on BP-neural network. Advanced Materials Research, 2012, 524(2): 180-183.
Bao Xiangsheng, Zhang Jinmiao, Yincheng et al. Relationship between the difference in average energy of time-lapse and the change of reservoir velocity. GPP, 2008, 47(1): 24-29.
[9]
Carmen M,Biondo B. Seismic attribute sensitivity to velocity uncertainty. Stanford Exploration Project, 102(2): 143-177.
[10]
李存磊,刘婷,夏连军. 高邮凹陷黄珏地区戴二段扇三角洲沉积特征. 中国海洋大学学报,2010,40(4):65-72] Li Cunlei, Liu Ting, Xia Lianjun. Sedimentary characteristics of dereliction fan delta in the second member of Huangjue area of Gaoyou depression. Periodical of Ocean University of China, 2010, 40(4): 65-72.
Zhou Jian, Lin Chunming, Zhang Xia et al. Provenance system and sedimentary facies of the Member of Paleogene Dainan Formation in Gaoyou Sag of Jiangsu Province. Journal of Palaeogeography, 2011,13(2): 161-174.
Qiu Yongfeng, Ma Yingjun, Cui Xiaoxiao et al. Distribution characteristics of E2d1 sand body in Huangjue and Lianmengzhuang area in Gaoyou sag. complex Hydrocarbon Reservoirs,2010,3(1):15-19.
[13]
Gassmann F. Elastic waves through a packing of spheres. Geophysics, 1951, 16(4): 673-682.
[14]
Wang Zhijing. Fundamentals of seismic rock physics. Geophysics, 2001, 66(2): 398-412.
