ISSN 1673-8217 CN 41-1388/TE
主管:中国石油化工集团有限公司 主办:中国石油化工股份有限公司河南油田分公司
边立恩, 屈勇, 于茜, 王国强, 薛明星. 2016: 渤海BZ油田储层定量预测研究. 石油地质与工程, 30(03): 77-80+148-149.
引用本文: 边立恩, 屈勇, 于茜, 王国强, 薛明星. 2016: 渤海BZ油田储层定量预测研究. 石油地质与工程, 30(03): 77-80+148-149.
Bian Li'en, . 2016: Study on reservoir quantitative prediction of BZ oilfield in Bohai sea. Petroleum Geology and Engineering, 30(03): 77-80+148-149.
Citation: Bian Li'en, . 2016: Study on reservoir quantitative prediction of BZ oilfield in Bohai sea. Petroleum Geology and Engineering, 30(03): 77-80+148-149.

渤海BZ油田储层定量预测研究

Study on reservoir quantitative prediction of BZ oilfield in Bohai sea

  • 摘要: 渤海BZ油田位于石臼坨凸起南部的断阶带,成藏条件优越,在中深层的古近系东营组地层发育了大套优质储层。由于对目的层段的岩性组合特征认识不清及地震资料分辨率低,储层预测存在一定困难。通过联合地震属性和谱分解技术对BZ油田东营组储层进行了定量预测研究,从分析储层物性与地震属性的关联程度出发,通过属性优选、聚类、融合方式预测储层的平面展布。采用谱分解技术计算目标储层的第一峰值频率,引入构造约束下的速度场建模方法构建速度模型,利用地层厚度与调谐频率及地层速度之间的关系对储层厚度进行定量预测,最后利用实钻资料进行校正。该方法对BZ油田的储层预测取得了良好的效果。

     

    Abstract: BZ oilfield is located on the south fault-terrace belts of Shijiutuo rise,its accumulation condition is superior and Dongying formation of Paleogene has developed a large number of high quality reservoirs.But due to the sand-shale interbed structure and insufficient seismic data resolution,the reservoir identification is difficult to be realized.In combination with seismic attribute and spectral decomposition technique,the reservoir quantitative prediction has been realized.First,it starts to analyze the correlation of reservoir lithological parameters and attributes based on the effectiveness of seismic attributes to reservoir identification,and by using the method of attribute optimization and cluster fusion to predict the distribution of reservoir.Meanwhile,by using spectrum decomposition technology to compute the first peak frequency of reservoir and building the velocity model under the constraint of structure,then predicting the thickness of reservoir by the relationship between the thickness of the strata and the tuning frequency and the formation velocity,and finally correcting its thickness with the thickness from drilled wells.With this method,good results have been obtained in BZ oilfield reservoir prediction.

     

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