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春光探区地震资料相位差异消除方法及在储层预测中的应用 被引量:3

Phase difference elimination of seismic data in Chunguang area and its application in reservoir prediction
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摘要 春光探区位于准噶尔盆地西北缘,地表以沙漠、戈壁为主,导致采集到的地震资料,即使在精细处理之后,仍与钻测井资料揭示的储层分布之间,存在着一些固有的相位差异,且不同时期采集的地震资料之间,也互相存在着一定的相位差异。在这种情况下,当利用地震资料进行储层预测,或者利用不同时期地震资料进行对比分析时,其结果往往存在误差。为了消除这种误差,提出了基于地震子波相位差异的地震资料相位旋转方法,根据相位差与频率之间的拟合关系,旋转其中一套地震资料的相位,使其与另外一套地震资料相位一致,从而为后续的振幅分析提供依据。另外,为了得到准确的储层分布特征,通过地质模型约束下的约束稀疏脉冲反演技术,对相位旋转前后的多套地震资料进行储层预测,对比结果表明,相位校正后的地震资料的波阻抗属性可以更准确地反映储层展布特征及油藏动态特征。 Located in the northwest margin of Junggar Basin,the surface of Chunguang exploration area is mainly covered with desert and Gobi.As a result,even after fine processing,there are still some inherent phase differences between the collected seismic data and the reservoir distribution revealed by drilling and logging data,and there are also certain phase differences between the collected seismic data in different periods.In this case,the reservoir prediction results often have errors when using seismic data for reservoir prediction,or using seismic data in different periods for comparative analysis.According to the fitting relationship between phase difference and frequency,the phase of one set of seismic data is rotated to make it consistent with the phase of another set of seismic data,thus providing a basis for subsequent amplitude analysis.In addition,in order to obtain the accurate reservoir distribution characteristics,the constrained sparseness spike inversion technique under the constraints of geological model is used to predict the reservoir of several sets of seismic data before and after phase rotation.The results show that the reservoir distribution and reservoir dynamic characteristics can be more accurately analyzed by comparing the wave impedance properties of serval seismic data.
作者 宋桂桥 SONG Guiqiao(Oilfield Exploration&Development Division,SINOPEC,Beijing 100728)
出处 《石油地质与工程》 CAS 2019年第2期44-49,共6页 Petroleum Geology and Engineering
关键词 春光探区 地震子波 相位 波阻抗反演 储层预测 Chunguang area seismic wavelet phase,impedance inversion reservoir prediction
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