【摘要】 胜利油田K71井区的主力产层Ng85~10为河流相薄互层沉积,非均质性严重,应用传统的油气预测方法很难准确进行油气预测。本文以测井多井解释结果为约束,对Ng58~10地层利用多波二维时频分析法进行了油气预测,具体流程为:①对多井测井数据进行解释得到目的层(Ng58~10)的解释结果;②对纵波剖面和转换横波剖面进行二维时频分析获得时、空、频域数据体,利用二维S变换将二维地震剖面变成三维数据体,分析不同频段上的油气和水的特征;③将测井解释为水层的时频数据与油气层的时频数据进行差值计算,优选出差异最大的频段作为优势频段,并对优势频段内的纵波和转换横波地震数据进行二维时频分析得到二维瞬时振幅数据。实际应用表明,优势频段内所提取的地震属性放大了油气和水的差异性,突出了油气异常,能够更好地描述横向变化快的河流相储层,油气存在部位在纵波数据体上表现为亮点,在转换横波数据体上表现为暗点。更多还原

【Abstract】 The main pay zone Ng8~105 in K71 well Block in Shengli Oilfield is characterized by fluvial facies,thin and interbeded deposition with severe heterogeneity.The traditional prediction method cannot make the precise prediction for oil & gas.Based on multi-well interpretation results which were used as constraint,the multi-wave 2D time-frequency analysis method was used for the prediction of oil & gas in the main pay zone.The exact flowchart is as below:(1) Interpreting the data of the multi-wells to obtain the interpretation results of the main pay zone Ng8~105,(2) conducting 2D time-frequency analysis for P-and converted wave sections to obtain the data volumes in time,frequency and space domain,then converting the 2D seismic sections to 3D data volumes by using 2D S-transform to analyze the characteristics of the oil and water in different frequency bands,and(3)applying difference calculation for the time-frequency data of the water zone from the well logging interpretation,taking the frequency band with the maximum difference as ideal frequency band and conducting the 2D time-frequency analysis for the P-and wave converted seismic data in the ideal frequency band to obtain the 2D instantaneous amplitude data.The field application results show that the seismic attributes extracted in ideal frequency band can amplify the difference between oil & gas and water and highlight the oil & gas anomaly,so the fluvial facies reservoir with rapid lateral variation could be better characterized.The location of the oil & gas can be seen as bright spot on the P-wave seismic section,and as dark spot on the converted seismic section.更多还原