石油学报 ›› 2003, Vol. 24 ›› Issue (6): 51-53,58.DOI: 10.7623/syxb200306010

• 油田开发 • 上一篇    下一篇

应用露头知识库进行油田井间储层预测

贾爱林1, 何东博1,2, 何文祥3, 张传禄1, 郭建林1   

  1. 1. 中国石油勘探开发研究院, 北京, 100083;
    2. 中国地质大学, 北京, 100083;
    3. 石油大学, 北京, 102200
  • 收稿日期:2003-04-28 修回日期:2003-06-17 出版日期:2003-11-25 发布日期:2010-05-21
  • 作者简介:贾爱林,男,1966年9月生,1989年毕业于石油大学(华东)地质系,现为中国石油勘探开发研究院高级工程师,主要从事油气田开发地质综合研究.
  • 基金资助:
    国家重点基础研究发展规划(973)项目(GT1999022507)和CNPC油气储层重点实验室重点支持项目"复杂储层预测技术"部分成果.

Application of outcrop geological knowledge database to prediction of inter-well reservoir in oilfield

JIA Ai-lin1, HE Dong-bo1,2, HE Wen-xiang3, ZHANG Chuan-lu1, GUO Jian-lin1   

  1. 1. Research Institute of Petroleum Exploration and Development, PetrdChina, Beijing 100083, China;
    2. China University of Gensciences, Beijing 100083, China;
    3. University of Petroleum, Beijing 102249, China
  • Received:2003-04-28 Revised:2003-06-17 Online:2003-11-25 Published:2010-05-21

摘要: 井间储层预测是地质精细建模的主要难点之一,即使在密井网区井间预测也有很大的不确定性,而相同沉积类型的露头可以在一定程度上提供井间储层变化的地质信息。滦平扇三角洲露头和丘陵油田三间房下油组具有相同的沉积类型,通过精细地质研究,建立了露头和油田的储层地质知识库,确定了油田与露头储层类型和特征的对比关系。综合露头小尺度和油田密井网大尺度的砂体分布变异信息,合成变差函数反映不同规模尺度的砂体分布特征。在此基础上,将露头检验选定的序贯指示建模方法应用于油田储层建模,储层预测符合率较高。应用该种方法将露头知识库用于油田地质建模有助于提高井间储层预测的精度和准确性。

关键词: 露头, 扇三角洲, 地质知识库, 变差函数, 储层建模, 储层预测

Abstract: The inter-well reservoir prediction is one of the difficult problems in fine modeling of reservoir. The outcrop data can provide the information in small scale of reservoir variation being predicted accurately, even in the dense well areas. The sedimentary properties of the Luanping fan-delta outcrop and Qiuling Oilfield are analogous. The integrated geological analysis was carried out. The geological knowledge databases and their correlative relationship between the outcrop and the oil field were established, and the relations of features and types of oilfield in accordance to the outcrop were determined. By integrating the outcrop variable function in a short range with the oilfield variable function in a long range,the nested variable functions were used to reflect the sandstone distribution in different scales. The nested variable function and the sequential indicator simulation method proven in the outcrop simulation were applied to the reservoir modeling, the predicted result of reservoir in the oilfield was satisfactory. It is proved that the application of outcrop database to oil reservoir modeling is successful. This method can improve the prediction accuracy of inter-well reservoir.

Key words: outcrop, fan-delta, geological knowledge database, variable function, reservoir modeling, reservoir prediction

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