分频段地震属性优选及砂体预测方法——秦皇岛32-6油田北区实例
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摘要
以秦皇岛32-6油田新近系明化镇组下段为研究对象,综合测井与地震资料,针对薄层砂体与厚层砂体不同的地震属性响应特征,采用了"先优选地震资料频段,再提取并优选地震属性"的方法进行砂体预测。针对NmⅠ-1小层薄层砂体,提取了高频信号的地震属性,针对NmⅠ-3小层厚层砂体,提取了低频信号的地震属性;进而对提取的地震属性进行优选,并结合测井解释,在沉积模式的指导下预测了砂体及沉积相的展布。研究结果表明:该方法有效降低了调谐厚度以及地震数据中的低频信号对砂体预测的限制,明显提高了地震属性与砂体厚度的相关性,从而提高了砂体及沉积相的预测精度,对地震资料品质较好地区的储层预测具有一定的指导意义。
Based on well logging and seismic data,some research of Minghuazhen Formation in Qinhuangdao 32-6Oilfield is conducted.According to different seismic characteristics of thick sandbodies and thin sandbodies,we propose a new approach to sandbody prediction,which includes two steps:first choose a frequency segment,then optimize seismic attributes.For thin sandbody of Layer NmⅠ-1,we pick up attributes of high frequency seismic signals,and for thick sandbody of Layer NmⅠ-3 we pick up attributes of low frequency seismic signals.Then according to optimized seismic attributes and well interpretation,we predict sandbody distribution and sedimentary facies under the guidance of sedimentary facies model.The results indicate that the proposed approach can effectively reduce the impact of tuning thickness,and significantly improve the correlation between seismic attributes and sandbody thickness.
Based on well logging and seismic data,some research of Minghuazhen Formation in Qinhuangdao 32-6Oilfield is conducted.According to different seismic characteristics of thick sandbodies and thin sandbodies,we propose a new approach to sandbody prediction,which includes two steps:first choose a frequency segment,then optimize seismic attributes.For thin sandbody of Layer NmⅠ-1,we pick up attributes of high frequency seismic signals,and for thick sandbody of Layer NmⅠ-3 we pick up attributes of low frequency seismic signals.Then according to optimized seismic attributes and well interpretation,we predict sandbody distribution and sedimentary facies under the guidance of sedimentary facies model.The results indicate that the proposed approach can effectively reduce the impact of tuning thickness,and significantly improve the correlation between seismic attributes and sandbody thickness.
引文
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[13]张广智,李振振,赵阳等.AVF反演Q值方法研究.地球物理学进展,2015,30(5):2293-2300.Zhang Guangzhi,Li Zhenzhen,Zhao Yang et al.The study of AVF inversion for Q value extraction.Progress in Geophysics,2015,30(5):2293-2300.
[14]陶倩倩,李达,杨希冰等.利用分频反演技术预测烃源岩.石油地球物理勘探,2015,50(4):706-713.Tao Qianqian,Li Da,Yang Xibing et al.Hydrocarbon source rock prediction with frequency-divided inversion.OGP,2015,50(4):706-713.
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[16]梁宏伟,吴胜和,穆龙新等.应用相控正演模拟方法精细描述河流相储层——秦皇岛32-6油田北区实例.石油地球物理勘探,2013,48(6):978-984.Liang Hongwei,Wu Shenghe,Mu Longxin et al.Fluvial reservoir characterization with phase-controlled forward modeling in the North Block of the Qinhuangdao 32-6 Oilfield,a case study.OGP,2013,48(6):978-984.
[17]马朋善,王继强,刘来祥等.Morlet小波分频处理在提高地震资料分辨率中的应用.石油物探,2007,46(3):283-287.Ma Pengshan,Wang Jiqiang,Liu Laixiang et al.Application of Morlet frequency-division processing inenhancing the seismic data resolution.GPP,2007,46(3):283-287.
[18]黄捍东,张如伟,郭迎春.地震信号的小波分频处理.石油天然气学报,2008,30(3):87-91.Huang Handong,Zhang Ruwei,Guo Yingchun.Wavelet frequency-division process for seismic signals.Journal of Oil and Gas Technology,2008,30(3):87-91.
[19]王贵文,徐敬领,杨宁等.小波分频分析法在沉积层序划分及等时对比中的应用.高校地质学报,2013,19(1):70-77.Wang Guiwen,Xu Jingling,Yang Ning et al.Using wavelet frequency analysis to divide sedimentary sequence cycles and isochronous correlation.Geological Journal of China Universities,2013,19(1):70-77.
[20]赵继龙,熊冉,陈戈等.分频重构反演及在薄互层储层预测中的应用.西南石油大学学报(自然科学版),2014,36(4):47-54.Zhao Jilong,Xiong Ran,Chen Ge et al.Seismic inversion of frequency divisions reconstruction and its application thin interbedded sand reservoir prediction.Journal of Southwest Petroleum University(Science&Technology Edition),2014,36(4):47-54.
[2]印兴耀,周静毅.地震属性优化方法综述.石油地球物理勘探,2005,40(4):482-489.Yin Xingyao,Zhou Jingyi.Summary of optimum methods of seismic attributes.OGP,2005,40(4):482-489.
[3]何碧竹,周杰,汪功怀.利用多元地震属性预测储层信息.石油地球物理勘探,2003,38(3):258-262.He Bizhu,Zhou Jie,Wang Gonghuai.Using multivariate seismic attributions to predict reservoir information.OGP,2003,38(3):258-262.
[4]王彦仓,秦凤启,杜维良等.地震属性优选、融合探讨.中国石油勘探,2013,18(6):69-73.Wang Yancang,Qin Fengqi,Du Weiliang et al.Discussions on optimization and fusion of seismic attributes.China Petroleum Exploration,2013,18(6):69-73.
[5]Satinder Chopra.Emerging and future trends in seismic attributes.The Leading Edge,2008,27(3):298-318.
[6]黎祺,胡明毅.地震沉积学在河流—三角洲沉积相及有利砂体预测方面的应用.天然气地球科学,2014,25(9):1341-1349.Li Qi,Hu Mingyi.Application of seismic sedimentology in river-delta facies and sandstone body prediction.Natural Gas Geoscience,2014,25(9):1341-1349.
[7]Ahmad M N,Rowell P.Application of spectral decomposition and seismic attributes to understand the structure and distribution of sand reservoirs within Tertiary rift basins of the Gulf of Thailand.The Leading Edge,2012,31(6):630-634.
[8]Hart B S.Channel detection in 3-D seismic data using sweetness.AAPG,2008,92(6):733-742.
[9]Chopra S,Marfurt K J.Seismic attribute expression of differential compaction.The Leading Edge,2012,31(12):1418-1422.
[10]蔡涵鹏,龙浩,贺振华等.基于地震数据瞬时相位谱的地层厚度估算.天然气地球科学,2014,25(4):574-581.Cai Hanpeng,Long Hao,He Zhenhua et al.Thickness estimates from instantaneous phase spectrum of poststack seismic data.Natural Gas Geoscience,2014,25(4):574-581.
[11]王治国,尹成,雷小兰等.预测砂岩孔隙度的地震多属性优化模式对比.石油地球物理勘探,2011,46(3):442-448.Wang Zhiguo,Yin Cheng,Lei Xiaolan et al.Multi-attribute optimization analysis for sandstone porosity prediction.OGP,2011,46(3):442-448.
[12]于建国,韩文功,刘力辉.分频反演方法及应用.石油地球物理勘探,2006,41(2):193-197.Yu Jianguo,Han Wengong,Liu Lihui.Frequeney-divided inversion and application.OGP,2006,41(2):193-197.
[13]张广智,李振振,赵阳等.AVF反演Q值方法研究.地球物理学进展,2015,30(5):2293-2300.Zhang Guangzhi,Li Zhenzhen,Zhao Yang et al.The study of AVF inversion for Q value extraction.Progress in Geophysics,2015,30(5):2293-2300.
[14]陶倩倩,李达,杨希冰等.利用分频反演技术预测烃源岩.石油地球物理勘探,2015,50(4):706-713.Tao Qianqian,Li Da,Yang Xibing et al.Hydrocarbon source rock prediction with frequency-divided inversion.OGP,2015,50(4):706-713.
[15]冯斌,赵峰华,王淑华.地震分频解释技术在河道砂预测中的应用.地球科学进展,2012,27(5):510-514.Feng Bin,Zhao Fenghua,Wang Shuhua.Application of spectral decomposition technique in fluvial sand body prediction.Advances in Earth Science,2012,27(5):510-514.
[16]梁宏伟,吴胜和,穆龙新等.应用相控正演模拟方法精细描述河流相储层——秦皇岛32-6油田北区实例.石油地球物理勘探,2013,48(6):978-984.Liang Hongwei,Wu Shenghe,Mu Longxin et al.Fluvial reservoir characterization with phase-controlled forward modeling in the North Block of the Qinhuangdao 32-6 Oilfield,a case study.OGP,2013,48(6):978-984.
[17]马朋善,王继强,刘来祥等.Morlet小波分频处理在提高地震资料分辨率中的应用.石油物探,2007,46(3):283-287.Ma Pengshan,Wang Jiqiang,Liu Laixiang et al.Application of Morlet frequency-division processing inenhancing the seismic data resolution.GPP,2007,46(3):283-287.
[18]黄捍东,张如伟,郭迎春.地震信号的小波分频处理.石油天然气学报,2008,30(3):87-91.Huang Handong,Zhang Ruwei,Guo Yingchun.Wavelet frequency-division process for seismic signals.Journal of Oil and Gas Technology,2008,30(3):87-91.
[19]王贵文,徐敬领,杨宁等.小波分频分析法在沉积层序划分及等时对比中的应用.高校地质学报,2013,19(1):70-77.Wang Guiwen,Xu Jingling,Yang Ning et al.Using wavelet frequency analysis to divide sedimentary sequence cycles and isochronous correlation.Geological Journal of China Universities,2013,19(1):70-77.
[20]赵继龙,熊冉,陈戈等.分频重构反演及在薄互层储层预测中的应用.西南石油大学学报(自然科学版),2014,36(4):47-54.Zhao Jilong,Xiong Ran,Chen Ge et al.Seismic inversion of frequency divisions reconstruction and its application thin interbedded sand reservoir prediction.Journal of Southwest Petroleum University(Science&Technology Edition),2014,36(4):47-54.
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