波形分类分析技术在复杂岩性储层预测中的应用研究——以准噶尔盆地风南地区为例
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摘要
准噶尔盆地西北缘风南地区二叠系风城组风一段云质岩类储集层,是构造背景下的岩性油气藏的主力储层。风城组储集层基质孔隙、裂缝和孔洞三种类型储集空间共存,油气关系复杂。在井资料较少、储层较薄的情况下,利用常规地震反演预测储层岩性十分困难。利用波形分类地震相分析技术对风城组风一段的地震数据道进行对比分类,能很好地反应地震信号的横向变化,以此用于岩性油藏的预测。运用波形分类分析技术对该地区油藏分布进行了研究,得到的岩性分布与地层取芯资料十分吻合,说明利用波形分类分析技术进行岩性油藏分布预测行之有效。
The dolomitic reservoir in Feng1 formation is major reservoir of lithologic hydrocarbon reservoir with structural setting in Fengnan area of Permian system in Northwestern Margin of Junggar Basin.There are matrix porosity,fracture and holes in reservoir of Fengcheng formation,and relationship of hydrocarbon-bearing in the reservoirs is complex.In the forecast of reservoir lithology with the conventional seismic inversion,it is very difficult to predict the thin reservoirs variation laterally for lack of drilling wells.The seismic facies classification technology with waveform analysis adopt for classification of seismic data and response to lateral changes of seismic signals.This paper studied reservoir distribution with waveform classification technology in Fengnan area,and the predicted result coincide with the core data,hence this technique is effective to predict reservoir lithology.
The dolomitic reservoir in Feng1 formation is major reservoir of lithologic hydrocarbon reservoir with structural setting in Fengnan area of Permian system in Northwestern Margin of Junggar Basin.There are matrix porosity,fracture and holes in reservoir of Fengcheng formation,and relationship of hydrocarbon-bearing in the reservoirs is complex.In the forecast of reservoir lithology with the conventional seismic inversion,it is very difficult to predict the thin reservoirs variation laterally for lack of drilling wells.The seismic facies classification technology with waveform analysis adopt for classification of seismic data and response to lateral changes of seismic signals.This paper studied reservoir distribution with waveform classification technology in Fengnan area,and the predicted result coincide with the core data,hence this technique is effective to predict reservoir lithology.
引文
[1]于红枫,王英民,李雪.Stratimagic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.
[2]李方明,苏武,赵国良,等.地震相特征在阿曼Daleel油田碳酸盐岩储层预测研究中的应用[J].中国石油勘探,2007(2):66.
[3]帕拉代姆地球物理公司北京办事处.Stratimagic:地震相分析软件介绍及培训教材[M].北京:帕拉代姆地球物理公司北京办事处,2003.
[4]SLOSS L L.Stratigraphic models in exploration[J].AAPG Bulletin,1962,46(7):1050.
[5]仲伟军,关键,刘珂,等.地震相分析技术在沙门子鼻隆岩性预测中的应用[J].新疆地质,2006,24(3):331.
[6]赵力民,郎晓玲,金凤鸣,等.波形分类技术在隐蔽油藏预测中的应用[J].石油勘探与开发,2001,28(6):53.
[7]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.
[8]朱剑兵,赵培坤.国外地震相划分技术研究新进展[J].勘探地球物理进展,2009,32(3):167.
[9]赖生华,蒲秀刚,杜贵荣.沉积相地震波波形响应特征研究—以渤海湾盆地孤南注陷沙三中亚段中部为例[J].石油实验地质,2008,30(4):400.
[10]陆基孟,王永刚.地震勘探原理[M].东营:中国石油大学出版社,2009.
[11]邓传伟,李莉华,金银姬.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.
[2]李方明,苏武,赵国良,等.地震相特征在阿曼Daleel油田碳酸盐岩储层预测研究中的应用[J].中国石油勘探,2007(2):66.
[3]帕拉代姆地球物理公司北京办事处.Stratimagic:地震相分析软件介绍及培训教材[M].北京:帕拉代姆地球物理公司北京办事处,2003.
[4]SLOSS L L.Stratigraphic models in exploration[J].AAPG Bulletin,1962,46(7):1050.
[5]仲伟军,关键,刘珂,等.地震相分析技术在沙门子鼻隆岩性预测中的应用[J].新疆地质,2006,24(3):331.
[6]赵力民,郎晓玲,金凤鸣,等.波形分类技术在隐蔽油藏预测中的应用[J].石油勘探与开发,2001,28(6):53.
[7]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.
[8]朱剑兵,赵培坤.国外地震相划分技术研究新进展[J].勘探地球物理进展,2009,32(3):167.
[9]赖生华,蒲秀刚,杜贵荣.沉积相地震波波形响应特征研究—以渤海湾盆地孤南注陷沙三中亚段中部为例[J].石油实验地质,2008,30(4):400.
[10]陆基孟,王永刚.地震勘探原理[M].东营:中国石油大学出版社,2009.
[11]邓传伟,李莉华,金银姬.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.
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