频谱分解技术在岩相建模中的应用
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摘要
基于河流相储层的地质特征,通过频谱分解方法,提出利用井震(频谱分解结果)联合绘制的各地质小层砂泥岩平面分布图为约束,建立高精度储层岩相模型.实际区块应用表明,谱分解技术可以预测具有一定规模的河道砂体的分布,同时井震联合建模方法能够利用地震资料与井资料分别在平面和纵向上具有高密度采样的特点,对井间储层的分布做出准确、细致的描述和预测,可以降低建模过程砂岩骨架模型的不确定性.依据该方法在低井控条件下建立的高精度储层地质模型,其井上砂层预测符合率为80%.
Based on the geologic characteristic of fluvial facies reservoir and the research on the application of spectrum decomposition technique, this paper presents a method for high-precision lithofacies modeling constrained by sublayer sand and shale distribution map described by combining logging and spectrum decomposition result. Case study shows that spectrum decomposition technique can be used to effectively predict the distribution of a certain scale channel sands. Besides, logging and seismic data unit reservoir modeling can fully utilize the high density horizontal sampling of the seismic data and high vertical resolution of the logging data to accurately predict the interwell reservoir distribution and reduce the uncertainty of sand skeleton model. Based on this method, a high precision reservoir geological modeling is built in low well control area, and the prediction precision of sand bodies come up to 80%.
Based on the geologic characteristic of fluvial facies reservoir and the research on the application of spectrum decomposition technique, this paper presents a method for high-precision lithofacies modeling constrained by sublayer sand and shale distribution map described by combining logging and spectrum decomposition result. Case study shows that spectrum decomposition technique can be used to effectively predict the distribution of a certain scale channel sands. Besides, logging and seismic data unit reservoir modeling can fully utilize the high density horizontal sampling of the seismic data and high vertical resolution of the logging data to accurately predict the interwell reservoir distribution and reduce the uncertainty of sand skeleton model. Based on this method, a high precision reservoir geological modeling is built in low well control area, and the prediction precision of sand bodies come up to 80%.
引文
[1]许慧华,王志高.地震属性分析及其胜利探区的应用[J].石油仪器,2002,16(5):21-24.
[2]GREG P,JAMES G,JOHN L.Interpretational applications of spectral decomposition in reservoir characterization[J].The LeadingEdge,1999(3):353-360.
[3]袁志云,孔令洪,王成林.频谱分解技术在储层预测中的应用[J].石油地球物理勘探,2006,41(增刊):11-15.
[4]张进铎,杨平,王云雷.地震信息的谱分解及其应用[J].勘探地球物理进展,2006,29(4):235-238.
[5]张亚中,赵裕辉,鲁新便,等.频谱分解技术在塔里木盆地北部TH地区碳酸盐岩缝洞型储层预测中的应用[J].石油地球物理勘探,2006,41(增刊):16-21.
[6]徐丽英,徐鸣洁,陈振岩.利用谱分解技术进行薄储层预测[J].石油地球物理勘探,2006,41(3):299-302.
[7]张尔华,宋永忠,陈树民,等.松辽盆地扶杨油层河道砂体地震识别方法[J].大庆石油地质与开发,2004,23(5):113-117.
[8]吴胜和,金振奎,黄沧钿,等.储层建模[M].北京:石油工业出版社,1999:49-50.
[9]BEHRENS R,TRAN T.Incorporating seismic data of intermediate vertical resolutioninto three-di mensional reservoir models:Anewmethod[J].SPE Reservoir Evaluation&Engineering,1999,2(4):325-333.
[2]GREG P,JAMES G,JOHN L.Interpretational applications of spectral decomposition in reservoir characterization[J].The LeadingEdge,1999(3):353-360.
[3]袁志云,孔令洪,王成林.频谱分解技术在储层预测中的应用[J].石油地球物理勘探,2006,41(增刊):11-15.
[4]张进铎,杨平,王云雷.地震信息的谱分解及其应用[J].勘探地球物理进展,2006,29(4):235-238.
[5]张亚中,赵裕辉,鲁新便,等.频谱分解技术在塔里木盆地北部TH地区碳酸盐岩缝洞型储层预测中的应用[J].石油地球物理勘探,2006,41(增刊):16-21.
[6]徐丽英,徐鸣洁,陈振岩.利用谱分解技术进行薄储层预测[J].石油地球物理勘探,2006,41(3):299-302.
[7]张尔华,宋永忠,陈树民,等.松辽盆地扶杨油层河道砂体地震识别方法[J].大庆石油地质与开发,2004,23(5):113-117.
[8]吴胜和,金振奎,黄沧钿,等.储层建模[M].北京:石油工业出版社,1999:49-50.
[9]BEHRENS R,TRAN T.Incorporating seismic data of intermediate vertical resolutioninto three-di mensional reservoir models:Anewmethod[J].SPE Reservoir Evaluation&Engineering,1999,2(4):325-333.
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