地震波形分类技术应用条件及其在葡北地区沉积微相研究中的应用
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摘要
在应用地震相分析软件Stratimagic对葡北地区七克台(Qkt)组进行地震相分析的过程中,对地震波形分类技术的应用条件进行了对比。分析发现,频率大于40 Hz、信噪比大于25 DB的地震资料可以较好地满足地震波形分类的研究。构造形态平缓、断裂不发育的地区运用波形分析效果较好。此外合适的地震时窗大小的选取和适当的波形分类数的设定也影响波形分类分析的运用效果。一般5～8种分类数是比较合适的,与沉积微相类型的匹配效果较好。在此基础上,运用该技术编制了葡北地区七克台组的沉积微相,对比单井沉积微相分析结果发现,有86%以上的单井相分析结果与预测的沉积微相图吻合,证实了地震波形分类技术预测沉积微相的可靠性。最后,运用该技术预测了该地区的砂体展布,为该地区下步隐蔽油气藏的勘探指明了方向。
During analyzing the seismic facies of Qiketai(Qkt) Formation in Pubei(Pb) area with Stratimagic software,we compared the application conditions of waveform classification technique.Seismic data with a frequence greater than 40 Hz and a signal-to-noise ratio greater than 25 DB are suitable for seismic waveform classification.The effect of waveform analysis is good in area with gentle structural attitude and under-developed fractures.Furthermore,the selection of suitable seismic time window and the setting of proper waveform classification number also affect the application effect of waveform classification technique.Generally,a waveform classification number of five to eight is reasonable,which match well with the sedimentary microfacies types.This technique is used to map the sedimentary microfacies of Qkt Group.Comparison with single well sedimentary microfacies identification shows that the coincidence rate is more than 86%,verifying the reliability of sedimentary microfacies prediction by using seismic waveform classification technique.Finally,this paper presents the sandstone distribution predicted by using this technique which can be used to guide future exploration of subtle reservoirs in the area.
During analyzing the seismic facies of Qiketai(Qkt) Formation in Pubei(Pb) area with Stratimagic software,we compared the application conditions of waveform classification technique.Seismic data with a frequence greater than 40 Hz and a signal-to-noise ratio greater than 25 DB are suitable for seismic waveform classification.The effect of waveform analysis is good in area with gentle structural attitude and under-developed fractures.Furthermore,the selection of suitable seismic time window and the setting of proper waveform classification number also affect the application effect of waveform classification technique.Generally,a waveform classification number of five to eight is reasonable,which match well with the sedimentary microfacies types.This technique is used to map the sedimentary microfacies of Qkt Group.Comparison with single well sedimentary microfacies identification shows that the coincidence rate is more than 86%,verifying the reliability of sedimentary microfacies prediction by using seismic waveform classification technique.Finally,this paper presents the sandstone distribution predicted by using this technique which can be used to guide future exploration of subtle reservoirs in the area.
引文
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[13]邓传伟,李莉华,金银姬,等.波形分类技术在储层沉积微相预测中的应用[J].石油物探,2008,47(3):262-265.Deng Chuanwei,Li Lihua,Jin Yinji,et al.Application ofwaveform classification technique in reservoir sedimentary microfacies prediction[J].Geophysical Prospecting for Petroleum,2008,47(3):262-265.
[14]王鑫.地震属性技术在王73地区储层预测中的应用[J].石油物探,2007,46(3):272-277.Wang Xin.Application of seismic attribute technology to pre-dict reservoir of Wang 73 area[J].Geophysical Prospecting forPetroleum,2008,47(3):262-265.
[15]李东安,宁俊瑞,刘振峰.用神经网络和地质统计学综合多元信息进行储层预测[J].石油与天然气地质,2010,31(4):493-503.Li Dongan,Ning Junrui,Liu Zhenfeng.Reservoir predictionwith integrated information based on artificial neural networktechnology and geostatistics[J].Oil&Gas Geology,2010,31(4):493-503.
[2]Sibille G,Keskes N,Fontaine L,et al.Enhancement of theperception of seismic facies and sequences by image analysistechniques[Z].SEG Annual International Meeting,54th,1984(7).
[3]杨占龙,陈启林,沙雪梅,等.关于地震波形分类的再分类研究[J].天然气地球科学,2008,19(3):378-380.Yang Zhanlong,Chen Qilin,Sha Xuemei,et al.Reclassificationresearch of seismic waveform Classification[J].Natural GasGeoscience,2008,19(3):378-380.
[4]李强,戴鸿鸣.地震波形分类技术在红浅一井区的应用[J].断块油气田,2007,14(1):12-17.Li Qiang,Dai Hongming.Application of seismic waveformclassification technology in HQ area[J].Fault-Block Oil&Gas Field,2007,14(1):12-17.
[5]于红岚,王英民,李雪.Stratmagic波形地震相分析在层序地层岩性分析中的应用[J].煤田地质与勘探,2006,34(1):64-66.Yu Fenglan,Wang Yingmin,Li Xue.Application of Stratmagicwaveform seismic facies in the sequence stratigraphic lithologicanalyzing[J].Coal Geology and Exploration,2006,34(1):64-66.
[6]殷积峰,李军,谢芬,等.波形分类技术在川东生物礁气藏预测中的应用[J].石油物探,2007,46(1):53-57.Yin Jifeng,Li Jun,Xie Fen,et al.Application of waveformclassification technique in predicting Reef Gas Pool in East Si-chuan[J].Geophysical Prospecting For Petroleum,2007,46(1):53-57.
[7]王玉学,丛玉梅,黄见,等.地震波形分类技术在河道预测中的应用[J].资源与产业,2006,8(2):71-74.Wang Yuxue,Cong Yumei,Huang Jian,et al.Application ofseismic waveform classification technique in the prediction ofchannel[J].Resources&Industries,2006,8(2):71-74.
[8]唐华风,王璞珺,姜传金,等.波形分类方法在松辽盆地火山岩相识别中的应用[J].石油地球物理勘探,2007,42(4):440-444.Tang Huafeng,Wang Pujun,Jiang Chuanjin,et al.Applica-tion of waveform classification method to recognize volcanolithofacies in Songliao[J].Oil Geophysical Prospecting,2007,42(4):440-444.
[9]邓传伟.利用波形建立地震相[J].石油地球物理勘探,2004,39(5):539-543.Deng Chuanwei.Using waveform to create seismic facies[J]Oil Geophysical Prospecting,2004,39(5):539-543.
[10]谯述蓉,张虹,赵爽.川西DY地区须家河组致密砂岩储层预测技术及应用效果分析[J].石油与天然气地质,2008,29(6):774-781.Jiao Shurong,Zhang Hong,Zhao Shuang.Compaction sand-stone reservoir prediction technology and application effect a-nalysis of Xujiahe group at DY district in West Sichuan[J].Oil&Gas Geology,2008,29(6):774-781.
[11]程耀清,蔡冬梅.地震相技术应用实例[J].石油地球物理勘探,2007,42(增刊):79-82.Cheng Yaoqing,Cai Dongmei.Application case of seismicphase technique[J].Oil Geophysical Prospecting,2007,42(S0):79-82.
[12]于建国,姜秀青.地震属性优化在储层预测中的应用[J].石油与天然气地质,2003,24(3):291-294.Yu Jianguo,Jiang Xiuqing.Application of seismic attribute op-timization in reservoir prediction[J].Oil&Gas Geology,2003,24(3):291-294.
[13]邓传伟,李莉华,金银姬,等.波形分类技术在储层沉积微相预测中的应用[J].石油物探,2008,47(3):262-265.Deng Chuanwei,Li Lihua,Jin Yinji,et al.Application ofwaveform classification technique in reservoir sedimentary microfacies prediction[J].Geophysical Prospecting for Petroleum,2008,47(3):262-265.
[14]王鑫.地震属性技术在王73地区储层预测中的应用[J].石油物探,2007,46(3):272-277.Wang Xin.Application of seismic attribute technology to pre-dict reservoir of Wang 73 area[J].Geophysical Prospecting forPetroleum,2008,47(3):262-265.
[15]李东安,宁俊瑞,刘振峰.用神经网络和地质统计学综合多元信息进行储层预测[J].石油与天然气地质,2010,31(4):493-503.Li Dongan,Ning Junrui,Liu Zhenfeng.Reservoir predictionwith integrated information based on artificial neural networktechnology and geostatistics[J].Oil&Gas Geology,2010,31(4):493-503.
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