摘要
针对鄂尔多斯盆地延长组超低渗透储层孔隙结构复杂导致的有效储层产能定量评价难题,从原始测井参数出发,构建反映储层岩性、物性、含油性、有效厚度变化的5个产能敏感参数:厚度因子、岩性因子、物性因子、含油性因子、I TP(Three Porosity Index)指数。提出曲线特征归纳法、加权储能系数法、数据挖掘法等产能快速预测方法,并对这3种产能预测方法进行了对比分析,形成超低渗透油层产能测井快速评价技术。在鄂尔多斯盆地长6油藏推广应用该项技术,产能预测符合率达到85%以上,为超低渗透油藏产能建设和部署提供了依据。
Abstract： Generally it＇s hard to evaluate productivity of Ordos basin ultra-low permeability reservoir using traditional methods, so we derived new parameters sensitive to reservoir productivity from primitive logging parameters, which are thickness parameter, lithology parameter, physical property parameter, oiliness parameter and ITp （Three Porosity Index） index. We set up three fast prediction methods such as logging curve characteristics, weighted coefficient of energy storage and DM（Data Mining）, and analysis on their characteristics are conducted. Eventually formed is the technology to quickly evaluate capacity of the ultra-low permeability reservoir. Practical application of this method in Ordos basin Chang6 reservoir shows that the productivity evaluation coincidence rate reaches 850%. This technology provides a basis for developing ultra-low permeability reservoirs.
出处
《测井技术》
CAS
CSCD
北大核心
2013年第6期694-702,共9页
Well Logging Technology
基金
国家油气重大专项(2011ZX05044)
中国石油天然气股份有限公司重大科技专项(2011E-1303)
关键词
测井解释
产能评价
超低渗透储层
产能敏感参数
log interpretation, productivity evaluation, ultra-low permeability reservoir, sensi-tive parameters of reservoir productivity
