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基于超低渗透储层分类的油层产能预测方法研究与应用 被引量:3

Method for Predicting Reservoir Productivity Based on Extra-low Permeability Reservoir Classification and Its Application
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摘要 鄂尔多斯盆地三叠系延长组长6~8油层组属典型的超低渗透储层,孔隙结构复杂、非均质性强导致测井有效储层识别与产能定量评价难度大。研究中注重超低渗储层的有效性,优选含油孔隙体积、可动流体饱和度、峰点喉道半径、油相对渗透率建立了超低渗透储层分类标准。在储层精细分类的基础上,创新引入加权储能系数,建立了超低渗透储层产能预测方法,应用效果良好,实现了超低渗透储层试油产能的测井快速预测。 Chang 6-8 reservoir of Triassic Yanchang Formation in Ordos Basin was a typical extra-low permeability reservoir.The reservoirs had complex pore structures and strong heterogeneity,which caused difficulty for identification and quantitative evaluation of reservoirs.The classification criterion of extra-low permeability reservoir was established by optimizing the characteristic parameters,such as oil-bearing pore volume,movable fluid saturation,peak point of throat radius and effective oil permeability.On the basis of fine reservoir identification,the method of predicating productivity for extra-low permeability reservoir is established by introducing the weighted potential energy coefficient.By using the method,good application effect is achieved for extra-low permeability reservoir,and the fast prediction of logging of the productivity is realized.
出处 《石油天然气学报》 CAS CSCD 2013年第1期89-93,175-176,共5页 Journal of Oil and Gas Technology
基金 国家科技重大专项(20011ZX05044)
关键词 超低渗透 储层分类 加权储能系数 试油产能预测 鄂尔多斯盆地 extra-low permeability reservoir classification effective weighting accumulation coefficient prediction of productivity Ordos Basin
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