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特低渗岩性油藏间连通性表征研究 ——以鄂尔多斯盆地马岭地区长8油藏为例
引用本文:徐永强,何永宏,仲向云,马静,陈霖,焦军,朱玉双.特低渗岩性油藏间连通性表征研究 ——以鄂尔多斯盆地马岭地区长8油藏为例[J].沉积学报,2019,37(3):623-632.
作者姓名:徐永强  何永宏  仲向云  马静  陈霖  焦军  朱玉双
作者单位:西北大学 大陆动力学国家重点实验室/地质学系,西安,710069;中国石油长庆油田分公司开发事业部,西安,710018;中国石油长庆油田分公司勘探开发研究院,西安,710018
基金项目:国家科技重大专项(2016ZX05046);国家自然科学基金项目(41390451)
摘    要:分析各岩性油藏之间的连通性,可为油藏之间区域寻找新的油气富集区提供依据。以鄂尔多斯盆地马岭地区长8油藏为研究对象,根据砂体发育规模及夹层发育状况分析储层砂体连通性,通过原油全烃色谱分析判断油藏间流体连通性。运用动静结合的方法探讨了马岭地区长8段各个小油藏间的连通性,结果表明:研究区长8段储层砂体叠置样式包括:孤立式、接触式、切叠式,其中切叠式储层砂体间连通性较好;建立了基于夹层的发育状况下砂体连通概率公式,并计算了研究区长8段储层砂体连通概率;通过原油全烃色谱分析可将研究区长8油藏分为三个流体连通系统,每个系统内的小油藏之间相互连通,不同系统内的小油藏间连通性差;根据马岭地区最新的勘探评价成果验证了该方法的有效性,该方法对特低渗岩性油藏间的连通性分析及油气勘探部署具有一定的指导意义。

关 键 词:岩性油藏  油藏连通性  砂体规模  连通概率
收稿时间:2018-05-10

Research on the Connectivity Characterization among the Ultra-low Permeability Lithologic Reservoirs: Case study of the Chang 8 reservoir in the Maling area of the Ordos Basin
XU YongQiang,HE YongHong,ZHONG XiangYun,MA Jing,CHEN Lin,JIAO Jun,ZHU YuShuang.Research on the Connectivity Characterization among the Ultra-low Permeability Lithologic Reservoirs: Case study of the Chang 8 reservoir in the Maling area of the Ordos Basin[J].Acta Sedimentologica Sinica,2019,37(3):623-632.
Authors:XU YongQiang  HE YongHong  ZHONG XiangYun  MA Jing  CHEN Lin  JIAO Jun  ZHU YuShuang
Institution:1.State Key Laboratory of Continental Dynamics/Department of Geology, Northwest University, Xi'an 710069, China;2.Development Department, Changqing Oilfield Company, PetroChina, Xi'an 710018, China;3.Research Institute of Exploration and Development, Changqing Oilfield Company, PetroChina, Xi'an 710018, China
Abstract:Analysis of connectivity among lithologic reservoirs could provide the basis for finding new oil and gas enrichment areas. Taking the Chang 8 reservoir in the Maling area of the Ordos Basin as an example, and according to sand body and the interlayer development, the fluid connectivity among reservoirs was determined by the total hydrocarbon chromatogram of its crude oil. This paper discusses the connectivity among Chang 8 reservoirs in the Maling area by combining dynamic and static data. Study results show that the sand body can be divided into three superposition models, which are the isolated, contacted, and tangency models. The tangency sand body model has good connectivity. A new formula for the connectivity probability of the sand body is proposed by taking the interlayer development into consideration and using this formula to calculate the connectivity probability of the sand body in the study area. Dynamic data analysis can be used to divide the Chang 8 reservoir into three fluid connected systems, each of which is connected to each other, and the interconnectivity among reservoirs in different systems is poor. The effectiveness of this method was verified according to the latest exploration and evaluation results, and this method has certain guiding significance for the analysis of the connectivity among the ultra-low permeability lithologic reservoirs and the next step for exploration and deployment.
Keywords:lithologic reservoir  connectivity between reservoirs  scale of sand body  connectivity probability
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