子波分解技术在肇源南地区的应用——以FI1油层储层预测为例
|
摘要
肇源南地区位于二级构造单元朝阳沟阶地和长春岭背斜带之间。该地区扶余油层河道砂体以条带状、透镜状出现,横向上连通性极差、纵向多层错叠连片。由于FI1油层组河道砂体单砂体厚度相对较薄,平面展布规模相对较小,又由于其在地震剖面上处于T2强轴下部,很多砂体信息无法从地震上识别出来。因此选取子波分解技术,针对不同情况的目标地质体选择不同频率的地震子波,重构新的地震剖面和数据体,并依据重构后的数据体来进行目标地质体砂岩预测。以此方法将FI1油层组砂岩展布特征有效地预测出来。
Zhaoyuannan Area is between secondary tectonic unit Chaoyanggou Terrace and Changchunling Anticline Belt.In this area,the channel sand body of Fuyu oil layer has a banding and lenticular distribution.The connecitivity of the channel sand body is poor in horizontal direction,and the sand continuously staggered in vertical direction.The thickness of single sand body of FI1 oil layer is relatively thin,and the planar distribution is relatively small.It is lower than T2 strange axis of reflection in seismic profile.Some information of FI1 oil layer 's sand can not be identified from seismic.According to this condition,wavelet decomposition technology is selected.According to different target geologic body,wavelets of different frequency is we choosed,maken reconstruction of new seismic profile and seismic data volume,predicted sand distribution of target geologic body by new seismic data volume.This method can predict sand distribution of FI1 oil layer effectively.
Zhaoyuannan Area is between secondary tectonic unit Chaoyanggou Terrace and Changchunling Anticline Belt.In this area,the channel sand body of Fuyu oil layer has a banding and lenticular distribution.The connecitivity of the channel sand body is poor in horizontal direction,and the sand continuously staggered in vertical direction.The thickness of single sand body of FI1 oil layer is relatively thin,and the planar distribution is relatively small.It is lower than T2 strange axis of reflection in seismic profile.Some information of FI1 oil layer 's sand can not be identified from seismic.According to this condition,wavelet decomposition technology is selected.According to different target geologic body,wavelets of different frequency is we choosed,maken reconstruction of new seismic profile and seismic data volume,predicted sand distribution of target geologic body by new seismic data volume.This method can predict sand distribution of FI1 oil layer effectively.
引文
1 Geronimo J,Hardin D P,Massopust P.Fractal functions and wave-let expansions based on several scaling functions.J Approx Theory,1994,78(3):373—401
2 Bear L K,Pavlis G L.Multi-channel estimation of time residuals frombroadband seismic data using multi-wavelets.Bull Seism Am,1999,89(3):681—692
3 Lebrun J,Vetterli M.Balanced multiwavelets theory and design.IEEE Trans on SP,1998;46(4):1119—1125
4李曙光,徐天吉,唐建明,等.基于频率域小波的地震信号多子波分解及重构.石油地球物理勘探,2009;44(6):675—679
5邓宏文.肇源南地区扶余油层高分辨率层序格架与精细建模反演.大庆:大庆油田有限责任公司勘探开发研究院,2007
6邢成智,党玉芳.地震油气检测技术在准葛尔盆地拐19井区侏罗系油藏评价中的应用.天然气工业,2007;27(增刊):477—478
7何胡军,王秋语,程会明.基于匹配追踪算法子波分解技术在薄互层储层预测中的应用.物探化探计算技术,2010;32(6):641—644
2 Bear L K,Pavlis G L.Multi-channel estimation of time residuals frombroadband seismic data using multi-wavelets.Bull Seism Am,1999,89(3):681—692
3 Lebrun J,Vetterli M.Balanced multiwavelets theory and design.IEEE Trans on SP,1998;46(4):1119—1125
4李曙光,徐天吉,唐建明,等.基于频率域小波的地震信号多子波分解及重构.石油地球物理勘探,2009;44(6):675—679
5邓宏文.肇源南地区扶余油层高分辨率层序格架与精细建模反演.大庆:大庆油田有限责任公司勘探开发研究院,2007
6邢成智,党玉芳.地震油气检测技术在准葛尔盆地拐19井区侏罗系油藏评价中的应用.天然气工业,2007;27(增刊):477—478
7何胡军,王秋语,程会明.基于匹配追踪算法子波分解技术在薄互层储层预测中的应用.物探化探计算技术,2010;32(6):641—644
版权所有：© 2023 中国地质图书馆 中国地质调查局地学文献中心