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萨尔图油田X区砂泥岩薄互层地震属性分析

Seismic Attribute Analysis of Thin Interbedded Sand and Mudstone in X Area of Saertu Oilfield
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摘要 通过对各种不同的地震属性(如均方根、连续像素、Sweetness等)以及频谱分解技术等综合分析,并对其中频谱分解技术开展大尺度适应性分析、分频率属性段分析,寻找适合本区的属性研究方法并且进行各种方法适用性比对与分析,利用测井、录井、动态生产资料进行验证,最终优选出适用于研究区的地震属性技术。结果表明:本区适用性最高的方法为频谱分解属性技术,利用测井资料进行比对,符合率高达69%,优选结果准确。利用分频属性刻画了储层特征,应用效果较好。 Through comprehensive analysis of various seismic attributes(such as root mean square,continuous pixels,Sweetness,and so on)and spectral decomposition techniques,as well aslarge-scale adaptability analysis and frequency attribute segment analysis of the spectrum decomposition technology,attribute research methods suitable for this area were found,and the applicability of various methods was compared and analyzed.Logging,mud logging,and dynamic production data were used for the verification,and the seismic attribute technology suitable for the study area was finally selected.The results showed that the spectrum decomposition attribute technology had the highest applicability to the area,the coincidence rate was as high as 90%,and the preferred result was accurate.the reservoir characteristics were characterized by the frequency division attribute,and the application effect was very good.
作者 杨漫坪 张明学 李永春 YANG Man-ping;ZHANG Ming-xue;LI Yong-chun(School of Geosciences,Northeast Petroleum University,Daqing 163000,China)
出处 《当代化工》 CAS 2021年第4期901-904,共4页 Contemporary Chemical Industry
基金 国家科技重大专项,大型油气田及煤层气开发(项目编号:2016ZX05007-002)。
关键词 萨尔图油田 多地震属性 属性优选 分频属性 Saertu oilfield Multiple seismic attributes Attribute optimization Frequency division attributes
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