准噶尔盆地稠油油藏产能预测新方法

对克拉玛依油田西北缘21个稠油层块的原油粘度、有效厚度、孔隙度、渗透率、含油饱和度、油藏埋深和注汽量等7 项参数与产能之间的灰色关联度进行了分析, 指出各参数与产能具有较好的关联度。它们之间存在着复杂的非线性关系。在此基础上, 应用柯布-道格拉斯方程成功拟合了二者关系, 建立了基于油藏地质参数直接预测稠油产能的产能方程, 应用该方程对克拉玛依油田3个稠油层块进行了产能预测, 取得效果良好。

New Method for Productivity Prediction of Heavy Oil Reservoir in Junggar Basin

The grey degree of relevance analysis between main reservoir geologic parameters such as crude viscosity, net pay thickness, porosity, permeability, oil saturation, reservoir depth and steam injection volume and productivities from twenty one blocks in northwestern margin of Xinjiang oilfield shows a good relationship between them by the fact that a closed relationship between these parameters and conductivity or deliverability. The regression analysis also shows that complex nonlinear relationships occur between them. With Cobd-Douglas equation, this paper presents the successful match of it and develops the deliverability equation based on reservoir geologic parameter for direct prediction of heavy oil productivity. Moreover, three heavy oil blocks in Karamay oil field are forecasted using this equation and the results indicate that this method is feasible.