随机模拟反演技术在泌阳凹陷中南部储层预测中的应用
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摘要
泌阳凹陷中南部储层横向非均质性强,地震分辨低,储层波阻抗与围岩波阻抗差异小,针对此现状,采用地质统计随机模拟技术,通过井点得到的地质、测井和地震反演数据的统计特征及其关系,模拟出既受地质框架模型、井点三维空间统计结果等先验资料控制,又最大限度地符合地震反射资料特征,与钻井相符好,储层分辨能力强的储层参数模型。通过储层参数模型的统计分析,获得储层空间的分布特征及分布规律,从而达到储层预测的目的,可为下步勘探提供可靠依据。
In view of the reservoir characteristics of strong lateral heterogeneity,low seismic resolution,as well as low difference of wave impedance between reservoir and surrounding rock in Biyang Depression,by using the hole constrained sparse pulse inversion and lithology stochastic simulation,abundant drilling data,an efficient way was established to enhance the resolution of reservoir prediction.A reservoir parameter model is established,which is controlled by geologic framework model and 3D space statistic result,and it is also matched with seismic reflection data and is consistent with that of drilling with high resolution.The parameter model is used for a statistical analysis,by which the characteristics of space distribution and low of reservoir distribution are obtained for reservoir prediction,and it provides a basis for next exploration.
In view of the reservoir characteristics of strong lateral heterogeneity,low seismic resolution,as well as low difference of wave impedance between reservoir and surrounding rock in Biyang Depression,by using the hole constrained sparse pulse inversion and lithology stochastic simulation,abundant drilling data,an efficient way was established to enhance the resolution of reservoir prediction.A reservoir parameter model is established,which is controlled by geologic framework model and 3D space statistic result,and it is also matched with seismic reflection data and is consistent with that of drilling with high resolution.The parameter model is used for a statistical analysis,by which the characteristics of space distribution and low of reservoir distribution are obtained for reservoir prediction,and it provides a basis for next exploration.
引文
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[5]卢占武,韩立国.波阻抗反演技术研究进展[J].世界地质,2002,21(4):372～377.
[6]Si mon Haykin.Neural networks:a comprehensive foundation[M].Second Edition.Upper Saddle River,NJ:Prentice-Hall,1999.
[2]Hongliu Zeng,Charies Kerans.Amplitude versus frequency-applications to seismic stratigraphy and reservoir characterization[J].SEG2000.
[3]白彦彬,杨长春.地质规律约束下的波阻抗反演[J].石油物探,2002,41(1):61～64.
[4]张永刚.地震波阻抗反演技术的现状和发展[J].石油物探,2002,41(4):385～390.
[5]卢占武,韩立国.波阻抗反演技术研究进展[J].世界地质,2002,21(4):372～377.
[6]Si mon Haykin.Neural networks:a comprehensive foundation[M].Second Edition.Upper Saddle River,NJ:Prentice-Hall,1999.
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