首页|高精度胶结指数模型的建立与应用

高精度胶结指数模型的建立与应用

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由于复杂孔隙结构和强非均质性,胶结指数(m)不再是一个固定常数,饱和度的定量计算成为一个难题。针对这一问题,探索了高精度m值模型的建立方法。基于疏松砂岩、中等砂岩、致密砂岩、砾岩、凝灰岩、角砾岩、玄武岩、安山岩、英安岩和流纹岩10种岩性,首先分析了m值、饱和指数(n)的变化给饱和度的计算带来的影响,得出m值的变化对饱和度的影响更大;其次,基于Max-well导电方程,发现了m值与有效孔隙度和导电孔隙度差值之间存在强线性正相关的关系,而导电孔隙度与有效孔隙度之间的关系并不是一成不变的,其关系表现为线性、指数、乘幂和多项式,并建立了m值与有效孔隙度之间的通用表达式。采用伊拉克米桑油田AG-3井高精度m值模型,分别处理AG-3井的白云岩和石灰岩储层,通过与岩心分析的结果进行对比,可知高精度m值模型改进了碳酸盐岩储层饱和度的计算精度,并为复杂孔隙型储层饱和度的定量评价奠定了一定的理论和实践基础。
Due to complex structures and strong heterogeneity of pores,the cementation exponent ( m )is no longer a constant,thus itis difficult to quantificationally evaluate the saturation of porous carbonate reservoirs.In order to solve this problem,a high-precision m model was build.Based on lithologies of loose,medium and tight sandstones,conglomerate,tuff,breccia,basalt,andesite,daciteand rhyolite,firstly,to analyse the impact on the saturation caused by changes in m and the saturation index (n),it can be foundthat the change of m affects the saturation largely.Secondly,on the basis of the Maxwell equation,a strong linear correlation be-tween m and the difference in the effective porosity and conductive porosity was discovered.This correlation was found changeableand behaving in a linear,exponential,power or polynomial format,so a general expression between m and the effective porosity wasdeduced.A high-precision m model of Well AG-3 in a certain oilfield of Iraq was applied to dealing with the dolomite and limestonereservoirs in Well AG-3,respectively.The results were compared with those of core analysis,indicating that the high-precision m model had improved the calculation accuracy of the saturation of porous carbonate reservoirs and laid a theoretical and practical foun-dation for the quantitative evaluation of the saturation of complex porous reservoirs.

high precision m modelMaxwell equationArchie formulacarbonatesaturation

李雄炎、秦瑞宝、毛志强、刘春成

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中海油研究总院 北京 100027

中国石油大学地球物理与信息工程学院 北京 102249

高精度犿值模型 Maxwell方程 Archie公式 碳酸盐岩 饱和度

国家重大科技专项

2011ZX05030

2014

石油学报
中国石油学会

石油学报

CSTPCDCSCD北大核心EI
影响因子:3.438
ISSN:0253-2697
年,卷(期):2014.(1)
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