区域地震多属性沉积模式定量研究方法——以莺歌海盆地乐东区T23-T24层序为例
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摘要
综合钻井、测井和地震资料 ,用层序地层学方法进行沉积相研究是油气勘探的基础。用三维地震资料和可视化技术进行沉积相分布定量研究已经有了一些相对成熟的方法 ;但对于钻井资料少且仅有二维地震资料的大的研究区域 ,如何用地震信息进行沉积模式定量研究是一个值得探讨的问题 ,这对于区域风险勘探目标选取及有效储集层横向预测具有重要意义。文中以莺歌海盆地乐东区T2 3-T2 4地层层序为例 ,提出了一种用地震多属性模式聚类方法进行区域沉积特征研究的方法。根据地震资料定量分析得到的沉积相研究结果 ,对莺歌海盆地深水沉积环境的沉积特征进行了分析 ,特别是对水道与受其所控制的储层的关系进行了一些有益的探讨。
Sedimentary facies study integrating drilling, log and seismic data and using sequence stratigraphy is a base of petroleum exploration. There are some relatively mature methods for quantitative study of sedimentary facies distribution using 3D seismic data and visualization techniques. For some large regions with scarce drilling data and only 2D seismic data, however, it is questionable how to study sedimentary pattern quantitatively using seismic information. But this study is important to selecting regional risk exploration targets and predicting effective reservoir rocks laterally. By taking T23-T24 sequence in Ledong area of Yinggehai basin as a case, a multi- attribute clustering approach of 2D seismic has been used to study regional sedimentary pattern in this paper. Based on the sedimentary facies distribution from quantitative analyses of seismic data, the sedimentary pattern is analyzed for the deep*$-water environment in Yinggehai basin, and the relationships between channels and their associated reservoirs are particularly discussed.
Sedimentary facies study integrating drilling, log and seismic data and using sequence stratigraphy is a base of petroleum exploration. There are some relatively mature methods for quantitative study of sedimentary facies distribution using 3D seismic data and visualization techniques. For some large regions with scarce drilling data and only 2D seismic data, however, it is questionable how to study sedimentary pattern quantitatively using seismic information. But this study is important to selecting regional risk exploration targets and predicting effective reservoir rocks laterally. By taking T23-T24 sequence in Ledong area of Yinggehai basin as a case, a multi- attribute clustering approach of 2D seismic has been used to study regional sedimentary pattern in this paper. Based on the sedimentary facies distribution from quantitative analyses of seismic data, the sedimentary pattern is analyzed for the deep*$-water environment in Yinggehai basin, and the relationships between channels and their associated reservoirs are particularly discussed.
引文
1 何汉漪.海上地震资料高分辨率处理技术论文集.北京:地质出版社,2001
2 RedingHG .Sedinmentaryenvironmentsandfacies.London:Black wellScientificPublications,1986
3 FriedmannSJ.Recentadvancesindeep_watersedimentologyandstratigraphyusingconventionalandhigh_resolution3Dseismicdata.ExxonMobilUpstreamResearchCo.,P .,2000
4 WallsJD ,TanerM ,TaloGetal.Theintegrationofsurfaceseismicandboreholedatausingartificialneuralnetworkclusteringmethods.TheSEG 70 th annualmeeting,Aug6～10,2000,Calgary,Canada
5 PenningtonWD .Calibrationofseismicattributesforreservoirchar acterization.FinalTechnicalReport,2002
2 RedingHG .Sedinmentaryenvironmentsandfacies.London:Black wellScientificPublications,1986
3 FriedmannSJ.Recentadvancesindeep_watersedimentologyandstratigraphyusingconventionalandhigh_resolution3Dseismicdata.ExxonMobilUpstreamResearchCo.,P .,2000
4 WallsJD ,TanerM ,TaloGetal.Theintegrationofsurfaceseismicandboreholedatausingartificialneuralnetworkclusteringmethods.TheSEG 70 th annualmeeting,Aug6～10,2000,Calgary,Canada
5 PenningtonWD .Calibrationofseismicattributesforreservoirchar acterization.FinalTechnicalReport,2002
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