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多条件约束地质建模技术在青西油田裂缝性油藏中的应用

The application of multiple constraints geo-modeling technology in Qingxi fractured reservoir

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【作者】 郑应钊刘国利马彩琴李绪涛

【Author】 Zheng Yingzhao,School of Energy Resources, China University of Geosciences (Beijing), Beijing City, 100101, China Liu Guoli, Ma Caiqin et al.

【机构】 中国地质大学(北京)能源学院长城钻探工程公司录井国际项目部中国石油玉门油田分公司勘探开发研究院

【摘要】 青西油田储层岩性复杂,岩相多变,裂缝发育,不同岩性、不同储集空间具有不同的储层属性特征,采用常规建模技术所建立的地质模型与油藏实际特征差别较大。采用多条件相互约束建模方法,将确定性模拟和随机模拟相结合,可较好地解决这些问题。多条件约束地质建模的约束条件包括:地震资料、岩心分析资料、测井资料、动态数据以及油田勘探开发综合研究成果;裂缝性油藏多条件约束地质建模技术包括断层封挡技术、多边界技术、复杂岩性岩相建模技术、DFN离散裂缝网格建模技术、在裂缝和岩相约束下的双重介质储层属性建模技术;构造建模主要利用GOCAD建模软件,裂缝建模利用FRACA建模软件,岩相和储层属性利用PETREL建模软件完成。根据建模结果,将青西油田划分出一类裂缝发育区、二类裂缝发育区和裂缝欠发育区,查明了剩余油富集区域和油气富集规律,明确了下一步的勘探目标。

【Abstract】 Qingxi oilfield is a deep fractured reservoir, the oil-distribution is controlled by structures, sedimentary facies and fractures. By conventional geo-modeling methods, the results are not consistent with the reservoir characteristics. Multiple constraints geo-modeling technology can solve these problems. The technology considers both the attribute data interaction and other related data influences, including the seismic data, core analysis data, logging data, production data and all other research data. The key of this geo-modeling technology is processing of all kinds of faults, analyzing and processing of com-plicated boundaries, geo-modeling of complicated lithology, geomodeling of DFN discrete fracture grid, geomodeling of double porosity reservoir. By means of GOCAD for the structure geo-modeling, and FRACA for fracture geo-modeling,PETROL for lithology and reservoir geo-modeling, a reliable 3D geology model of Qingxi fractured reservoir has been made. The model indicates the area of different kind of fractures and the distribution of remaining oil. Therefore, multiple constraint geo-modeling method for fractured reservoir is proposed to guide geology modeling and development adjustment of similar reservoirs.

  • 【文献出处】 油气地质与采收率 ,Petroleum Geology and Recovery Efficiency , 编辑部邮箱 ,2011年03期
  • 【分类号】P618.13
  • 【被引频次】16
  • 【下载频次】524
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