川南官渡构造下沙溪庙组储层孔隙度预测
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摘要
四川盆地南部官渡构造下沙溪庙组属致密砂岩储层,常规速度反演难以将有效储层从致密砂岩中分道辨出来,而孔隙度可以较好地将其区分。作者在测井曲线校正、测井孔隙度精细解释的基础上,结合扩展的地震体属性分析法和神经网络拟合法开展储层孔隙度预测,计算了下沙溪庙组孔隙度数据体,并以交互验证法作为质量控制手段,验证了结果的正确性。该数据体可以直观地反映出高孔隙砂岩的展布特征。在此基础上,根据下沙溪庙组储层地质特征,针对下沙溪庙组一砂组进行了孔隙度平面解释,描述了有效储层的平面展布特征,指出该地区下一步勘探的有利区域。
The Jurassic Xiashaximiao Formation(J2s1) reservoir of the Guandu structure in South Sichuan is a compacted clastic rock reservoir.Its porosity can better discriminate the effective reservoir than the conventional velocity inversion does.Based on the well logs correction and detailed well porosity interpretation,this paper combines the extended seismic attribute analysis and the artificial neural network fitting method to predict the porosity,compute porosity data volume of J2s1,and demonstrate validity of the results using the cross-validation method.This data volume can directly describe the high pore sand distribution.On this basis,the porosity plan character of No.1 sand group is interpreted according to the reservoir geological features of J2s1,the plane distribution of effective reservoir described,and the favorable exploration area pointed out.
The Jurassic Xiashaximiao Formation(J2s1) reservoir of the Guandu structure in South Sichuan is a compacted clastic rock reservoir.Its porosity can better discriminate the effective reservoir than the conventional velocity inversion does.Based on the well logs correction and detailed well porosity interpretation,this paper combines the extended seismic attribute analysis and the artificial neural network fitting method to predict the porosity,compute porosity data volume of J2s1,and demonstrate validity of the results using the cross-validation method.This data volume can directly describe the high pore sand distribution.On this basis,the porosity plan character of No.1 sand group is interpreted according to the reservoir geological features of J2s1,the plane distribution of effective reservoir described,and the favorable exploration area pointed out.
引文
[1]蔡勋育,朱扬明.川东南官渡构造中侏罗统原油地球化学特征及油源[J].石油实验地质,2006,28(4):380-385.
[2]李忠,贺振华,巫芙蓉,等.地震孔隙度反演技术在川西砂岩储层中的应用与比较[J].天然气工业,2006,26(3):50-52.
[3]慎国强,孟宪军,王玉梅,等.随机地震反演方法及其在埕北35井区的应用[J].石油地球物理勘探,2004,39(1):75-81.
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[7]马永生,郭旭升,凡睿.川东北普光气田飞仙关组鲕滩储集层预测[J].石油勘探与开发,2005,32(4):60-64.
[8]COOKE D,BALL V,MURYANTO T.What is thebest seismic attribute for quantitative seismic reser-voir characterization?[C]//Annual Meeting Ab-stracts,Society of Exploration Geophysicists.Tulsa:Society of Exploration Geophysicists,1999:1588-1591.
[9]BROWN A R.Seismic attributes and their classifica-tion[J].The Leading EAEG,1996,15(10):1090.
[10]谢雄举,季玉新.优选地震属性预测储层参数的方法及其应用[J].石油物探,2004,43(增刊):127-131.
[11]HAMPSON D P,SCHUELKE J S,QUIREIN J A.Use of multiattribute transforms to predict log prop-erties from seismic data[J].Geophysics,2001,66(1):220-236.
[2]李忠,贺振华,巫芙蓉,等.地震孔隙度反演技术在川西砂岩储层中的应用与比较[J].天然气工业,2006,26(3):50-52.
[3]慎国强,孟宪军,王玉梅,等.随机地震反演方法及其在埕北35井区的应用[J].石油地球物理勘探,2004,39(1):75-81.
[4]WYLLIE M R J,GEGORY A R,GARDNER L W.Elastic wave velocities in heterogeneous and porosmedia[J].Geophysice,1956,21(1):41-70.
[5]PICKETT G R.Acoustic character logs and their ap-plications in formation evaluation[J].Journal of Pe-troleum Technology,1963,15(6):659-667.
[6]DOLBERG D M,HELGESEN J.Porosity predictionfrom seismic inversion,Lavrans Field,Halten Ter-race,Norway[J].The Leading Edge,2000,19(4):392-399.
[7]马永生,郭旭升,凡睿.川东北普光气田飞仙关组鲕滩储集层预测[J].石油勘探与开发,2005,32(4):60-64.
[8]COOKE D,BALL V,MURYANTO T.What is thebest seismic attribute for quantitative seismic reser-voir characterization?[C]//Annual Meeting Ab-stracts,Society of Exploration Geophysicists.Tulsa:Society of Exploration Geophysicists,1999:1588-1591.
[9]BROWN A R.Seismic attributes and their classifica-tion[J].The Leading EAEG,1996,15(10):1090.
[10]谢雄举,季玉新.优选地震属性预测储层参数的方法及其应用[J].石油物探,2004,43(增刊):127-131.
[11]HAMPSON D P,SCHUELKE J S,QUIREIN J A.Use of multiattribute transforms to predict log prop-erties from seismic data[J].Geophysics,2001,66(1):220-236.
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