中国石油勘探 ›› 2018, Vol. 23 ›› Issue (1): 71-80.DOI: 10.3969/j.issn.1672-7703.2018.01.008

• 石油地质 • 上一篇    下一篇

鄂尔多斯盆地姬塬地区长61低对比度油层识别方法与产水率分级评价

张少华1,2,3, 石玉江3, 陈刚1,2, 周金昱3, 郭浩鹏3, 王长胜3, 孙继峰3, 李卫兵3, 钟吉彬3, 高建英3, 屈亚龙3   

  1. 1 大陆动力学国家重点实验室;
    2 西北大学地质学系;
    3 中国石油长庆油田公司勘探开发研究院
  • 收稿日期:2017-01-17 修回日期:2017-09-30 出版日期:2018-01-15 发布日期:2018-01-04
  • 通讯作者: 陈刚(1965-),男,河南舞钢人,教授,博士生导师,主要从事含油气盆地地质学研究工作,地址:陕西省西安市太白北路229号,邮政编码:710069。E-mail:chengang@nwu.edu.cn
  • 基金资助:
    国家科技重大专项“鄂尔多斯盆地大型低渗透岩性地层油气藏开发示范工程”(2016ZX05050)。

Identification methods and water productivity classification evaluation of low contrast Chang 61 oil reservoirs in Jiyuan area, Ordos Basin

Zhang Shaohua1,2,3, Shi Yujiang3, Chen Gang1,2, Zhou Jinyu3, Guo Haopeng3, Wang Changsheng3, Sun Jifeng3, Li Weibing3, Zhong Jibin3, Gao Jianying3, Qu Yalong3   

  1. 1 State Key Laboratory of Continental Dynamics;
    2 Department of Geology, Northwest University;
    3 Research Institute of Petroleum Exploration & Development, PetroChina Changqing Oilfield Company
  • Received:2017-01-17 Revised:2017-09-30 Online:2018-01-15 Published:2018-01-04
  • Supported by:
     

摘要: 鄂尔多斯盆地姬塬地区长61储层为典型的低孔、低渗透储层,其孔隙结构复杂、束缚水饱和度高、地层水矿化度高导致低对比度油层发育,给测井识别造成很大困难。从储层岩性、物性、水性等方面分析了长61低对比度油层的成因机理:长61储层填隙物中较高的黏土矿物含量和分布形式,使得孔隙结构复杂,束缚水含量增加,束缚水产生附加导电作用,以及存在的高地层水矿化度,这两个主要成因共同作用导致测井对比度降低,形成低对比度油层。在确定长61低对比度油层成因机理的基础上,利用视地层水电阻率正态分布法和Fisher判别分析法进行流体性质识别,解决了测井识别的问题。根据流体识别的结果,应用神经元非线性Sigmoid函数的突变性质构建产水率预测模型,进行产水率计算和分级定量评价,并给出细分流体性质的分级评价标准。通过对研究区内H57井区64口开发井产水率的计算,应用建立的标准进行产水率分级评价,并与投产初期产水率进行对比分析,相关系数达到了0.917,模型精度与分级评价结果满足研究区低渗透储层的勘探开发生产需求。

 

关键词: 鄂尔多斯盆地, 姬塬地区, 低对比度油层, 成因机理, 识别方法, 产水率, 分级评价

Abstract: The Chang 61 reservoir in the Jiyuan area, the Ordos Basin, is of typically low porosity and low permeability. Its complex pore structure, high irreducible saturation and formation water salinity make the oil reservoir with low contrast and bring great difficulties to logging identification. The genetic mechanism of the low contrast Chang 61 oil reservoir was analyzed in terms of rock lithology, reservoir properties and formation water properties, and two types of genetic mechanisms are:First, the high content and complex distribution of the clay in the interstitial material in the Chang 61 reservoir resulting in complex pore structure and high irreducible saturation which leads to additional conductivity; second, high water salinity in the Chang 61 reservoir. These two factors contributed to the low contrast on logging data, and resulting in the low contrast oil reservoir. Then based on the identified genetic mechanisms, the normal resistivity distribution of apparent formation water and the Fisher discrimination and analysis method were used to identify fluid properties and solve the problem in logging identification. And finally a water productivity prediction model is established based on the abrupt change in the linear neuron Sigmoid function to calculate water productivity and conduct quantitative classification and evaluation of the Chang 61 reservoir, and the detailed classification and evaluation standards are proposed for fluid properties. Application to 64 wells in the H57 well area in the study area indicates that the calculated and evaluated water productivity results from using the standards proposed in this paper are correlated to the initial water productivity by a factor of 0.917. This proves that the model precision and classified results meet the need of practical exploration and production.

Key words: Ordos Basin, Jiyuan area, low contrast oil reservoir, genetic mechanism, identification method, classification and evaluation

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