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应用露头知识库进行油田井间储层预测

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

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【作者】 贾爱林何东博何文祥张传禄郭建林

【Author】 JIA Ai-lin HE Dong-bo HE Wen-xiang ZHANG Chuan-lu GUO Jian-lin(Research Institute of Petroleum Exploration and Development, PetrdChina , Beijing 100083, China ; China University of Gensciences, Beijing 100083, China ; University of Petroleum , Beijing 102249, China)

【机构】 中国石油勘探开发研究院石油大学中国石油勘探开发研究院 北京 100083北京 100083 中国地质大学 北京 100083北京 102200北京 100083北京 100083

【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。

【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.

【基金】 国家重点基础研究发展规划(973)项目(GT1999022507);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
  • 【文献出处】 石油学报 ,Acta Petrolei Sinica , 编辑部邮箱 ,2003年06期
  • 【分类号】P618.13
  • 【被引频次】77
  • 【下载频次】1020
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