流体识别因子试验分析及应用
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摘要
利用地震资料对储层中的流体进行识别是储层预测的重要内容之一。基于流体识别因子实现对流体的识别是对储层中流体进行识别的重要方法之一。为了对储层中的流体进行更好的识别,首先从Gassmann公式出发,分析了填充不同流体时岩石对速度和波阻抗的影响,在此基础上进一步提出了一个新的流体识别因子。利用Hilterman统计出的3种砂岩的参数资料分析了几种流体识别因子,结果表明,新的流体识别因子比其它流体识别因子对流体更为敏感,对砂岩的识别能力更强。将流体识别因子应用于QL地区实际地震资料的反演,结果表明,新的流体识别因子的识别能力好于其它因子,能够在一定程度上识别流体。
Fluid identification by seismic data is one of the important content of reservoir prediction.The fluid identification method which is based on fluid identification factor is one of the important methods. In order to better identify the fluid in reservoir,starting from Gassmann formula,the impact of different fluid fillings on velocity and wave impedance was analyzed,then a new fluid identification factor was proposed.Several fluid identification factors were analyzed by using the parameters of three types of sandstone obtained from Hilterman statistics.The result indicates that new factor is more sensitive to fluid than the others,and has better identification effect on sandstone.We applied the new fluid identification factor to the seismic data inversion in QL area,which shows that the new factor has better identification ability than others and can identify fluid to some degree.
Fluid identification by seismic data is one of the important content of reservoir prediction.The fluid identification method which is based on fluid identification factor is one of the important methods. In order to better identify the fluid in reservoir,starting from Gassmann formula,the impact of different fluid fillings on velocity and wave impedance was analyzed,then a new fluid identification factor was proposed.Several fluid identification factors were analyzed by using the parameters of three types of sandstone obtained from Hilterman statistics.The result indicates that new factor is more sensitive to fluid than the others,and has better identification effect on sandstone.We applied the new fluid identification factor to the seismic data inversion in QL area,which shows that the new factor has better identification ability than others and can identify fluid to some degree.
引文
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[15]王栋,贺振华,黄德济.新流体识别因子的构建与应用分析[J].石油物探,2009,48(2):141-145
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[2]Russell B H,Hedlin K,Hilterman F J,et al.Fluidproperty discrimination with AVO:a Biot-Gassmann perspective[J].Geophysics,2003,68(1):29-39
[3]Dillon L,Schwedersky G,Guilherme V,et al.A multi-scale DHI elastic attributes evaluation[J]. The Leading Edge,2003,22(10):1024-1029
[4]陈遵德,朱广生.地震储层预测方法研究进展[J].地球物理学进展,1997,12(4):76-84
[5]刘文岭,牛彦良,李刚,等.多信息储层预测地震属性提取与有效性分析方法[J].石油物探,2002,41(1): 100-106
[6]于建国,姜秀清.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):291-295
[7]王西文,刘全新,周嘉玺,等.精细储层预测技术在板南5-3井区的应用[J].石油物探,2003,42(3): 389-394
[8]王西文.岩性油气藏的储层预测及评价技术研究[J].石油物探,2004,43(6):511-517
[9]张洪波,王纬,顾汉明.高精度地震属性储层预测技术研究[J].天然气工业,2005,25(7):35-37
[10]杨午阳,杨文采,王西文,等.综合储层预测技术在包1庙4井区的应用[J].石油物探,2004,43(6): 578-583
[11]黄绪德.油气预测与油气藏描述:地震勘探直接找油气[M].南京:江苏科学技术出版社,2003:35-37
[12]宁忠华,贺振华,黄德济.基于地震资料的高灵敏度流体识别因子[J].石油物探,2006,45(3):239-241
[13]Biot M A.General theory of three-dimensional consolidation [J].Journal of Applied Physics,1941, 12(2):155-164
[14]Gassmann F.Uber die elastizitat poroser medien[J]. Vierteljahrss-chrift der Naturforschenden Gesellschaft in Zurich,1951,96:1-23
[15]王栋,贺振华,黄德济.新流体识别因子的构建与应用分析[J].石油物探,2009,48(2):141-145
[16]Zhang S X,Yin X Y,Zhang F C.Fluid discrimination study from Fluid Elastic Impedance(FEI)[J]. Expanded Abstracts of 79~(th) Annual Internat SEG Mtg,2009,2437-2441
[17]王栋,贺振华,黄德济.含气含水砂岩的高灵敏度流体识别因子的研究[J].长江大学学报(自然科学版),2008,5(3):45-47
[18]唐建伟.地震岩石物理学研究有关问题的探讨[J].石油物探,2008,47(4):398-404
[19]贺振华,王栋.扩展流体识别因子及应用[J].矿物岩石,2009,29(4):100-103
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