张岚,唐何兵,崔龙涛,郭诚,张占华.地震相控非线性随机反演在海上薄互层储层预测中的应用——以K油田沙河街组为例[J].地质找矿论丛,2021,36(4):448-456
地震相控非线性随机反演在海上薄互层储层预测中的应用——以K油田沙河街组为例
Application of seismic facies controlled nonlinear stochastic inversion to offshore thin intercedes reservoir prediction—a case of Shahejie formation of K oil field
投稿时间:2021-03-16  
DOI:10.6053/j.issn.1001-1412.2021.04.006
中文关键词:  储层预测  地震非线性反演  相控  薄互层  渤海  天津
英文关键词:reservoir prediction  seismic non-linear inversion  facies control  thin interceded layer  Bohai  Tianjin
基金项目:国家科技重大专项"渤海海域大中型油气田地质特征"(编号:2011ZX05023-006-002)资助。
作者单位
张岚 中海石油(中国)有限公司天津分公司, 天津 塘沽 300459 
唐何兵 中海石油(中国)有限公司天津分公司, 天津 塘沽 300459 
崔龙涛 中海石油(中国)有限公司天津分公司, 天津 塘沽 300459 
郭诚 中海石油(中国)有限公司天津分公司, 天津 塘沽 300459 
张占华 中海石油(中国)有限公司天津分公司, 天津 塘沽 300459 
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中文摘要:
      针对渤海中深层薄互层储层普遍存在的埋藏深、地震资料品质差、储层厚度薄,薄互层沉积,储层横向变化快等特点,以及开发程度的加深对地震分辨率精度要求越来越高的情况,在分析储层组合和地震沉积学基础上,提出地震相控非线性反演方法,以期提高储层预测精度。该方法通过非线性最优化理论综合约束反演与模型反演的优点,根据实际地震资料建立反演目标层段的宏观相控模型,在测井资料约束下采用非线性随机算法逐道、逐次进行外推反演,有效提高地震资料的分辨率,充分考虑地质条件的随机特性,使反演结果更符合实际地质情况。在K油田应用表明,该技术提高了薄互层储层预测精度,为类似油田的储层预测、注采连通、井网部署提供可靠依据。
英文摘要:
      In view of deep bury, poor seismic data, small thickness of reservoir, thin interceded sedimentary layer and fast lateral change of reservoirs at medium-deep depth of Bahai bay area seismic resolution for further intensive exploitation gets higher and higher. In order to improve accuracy of the reservoir prediction a seismic facies controlled nonlinear inversion method is proposed based on analysis of the reservoir combination and seismic sedimentology. The method uses optimization theory of the nonlinear stochastic algorithm to combine advantages of the constrained inversion and model inversion. The actual seismic data-based macro-facies control model of inversion target interval is constrained by logging data and is used to extrapolate the inversion trace by trace and step by step thus effectively improve resolution of the seismic data and fully consideration of characteristics of geological condition makes the inversion results more consistent with the actual geological condition. The application shows improvement of prediction of the thin interbeded reservoir in K oil field and provides a reliable basis for reservoir prediction, integrated connection of injection and production and deployment of well pattern in similar oil field.
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