基于高分辨率层序地层分析的古近系储层精细预测技术

发布时间：2018-04-22 02:38

本文选题：层序地层分析 + 储层预测　；参考：《断块油气田》2017年03期

【摘要】：受埋藏深度以及复杂构造的影响,渤海湾盆地辽东湾坳陷旅大构造区东营组储层在横向和纵向上变化均较快,单一的地球物理方法存在较强的多解性。在实际工作基础上,建立了一套基于高分辨率层序地层分析的古近系储层精细预测技术。首先,通过层序地层分析和等时地层格架的建立,在宏观上识别出不同期次的沉积体,并确定各自的优势沉积中心;其次,结合地震相分析及正演模拟,总结出不同沉积微相对应的地震响应特征,分析表明,强振幅、低频、较连续反射为优质储层的典型特征;最后,根据不同相带的地震反射特征,优选能够反映富砂区反射规律的地震属性进行储层精细研究,实现储层边界由定性到半定量的刻画。研究结果表明,该方法在旅大构造区东三段储层预测中取得了较好的效果,且预测结果得到已钻井的证实,为该区后续的勘探开发工作提供了有力支撑。
[Abstract]:Under the influence of burial depth and complex structure, the reservoir of Dongying formation in Lida structural area of Liaodong Bay depression in Bohai Bay basin changes rapidly in both horizontal and longitudinal directions, and the single geophysical method has strong multi-resolution. On the basis of practical work, a set of fine prediction techniques for Paleogene reservoirs based on high resolution sequence stratigraphy analysis are established. Firstly, through sequence stratigraphic analysis and the establishment of isochronous stratigraphic framework, the sedimentary bodies of different periods are identified macroscopically, and their respective dominant sedimentary centers are determined; secondly, combined with seismic facies analysis and forward modeling, The seismic response characteristics of different sedimentary microfacies are summarized. The analysis shows that strong amplitude, low frequency and continuous reflection are typical characteristics of high quality reservoir. Finally, according to the seismic reflection characteristics of different facies zones, The seismic attributes, which can reflect the reflection law of sand rich areas, can be studied in detail, and the boundary of reservoir can be characterized from qualitative to semi-quantitative. The results show that the method has achieved good results in reservoir prediction of the third member of the eastern part of Lida structural area, and the prediction results have been confirmed by drilling, which provides a strong support for the subsequent exploration and development work in this area.
【作者单位】：中海石油(中国)有限公司天津分公司;
【基金】：国家科技重大专项课题“近海大中型油气田形成条件与分布”(2011ZX05023-006)
【分类号】：P618.13

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