基于幂律方程的致密油藏产能预测模型  

Productivity Prediction Model Based on Power Law Equation for Tight Oil Reservoir

作　　者：刘广峰[1] 高星星[1] 顾岱鸿[1] 王文举[1] 白耀星 姜宁[1] 潘少杰[1] 

机构地区：[1]中国石油大学(北京)石油工程教育部重点实验室,北京102249

出　　处：《科学技术与工程》2017年第22期68-72,共5页Science Technology and Engineering

基　　金：国家自然科学基金(51404282);中国石油科技创新基金(2014D-5006-0215);中国石油大学(北京)科研基金(2462015YQ0217)资助

摘　　要：选取鄂尔多斯盆地长7致密储层岩心,通过实验测定了致密岩心的渗流曲线,提出采用幂律方程及拟线性模型的复合渗流模型描述致密油藏渗流特征,建立了符合致密油藏的产能预测新模型,并进行了参数敏感性分析。结果表明,新模型预测的产能比拟启动压力梯度模型预测的产能偏高,井底流压越大越明显;达西线性流模型预测的产能比新模型预测的产能偏高,井底流压越小越明显。在同一井底流压下,产能随平衡系数的增大而增大,随幂律指数的增大而减小。This study selects the cores of Ordos basin chang 7 reservoir,uses experimental methods to determine seepage curve of tight core,and adopts model based on power-law equation and quasi linear model to describe the characteristics of tight reservoir,establishes a new productivity prediction model for tight reservoir,and research the sensitivity of parameters.Research shows that the productivity predicted by the new model is higher than the startup pressure gradient model,and at the bigger bottom-hole pressure is more obvious;the productivity predicted by the Darcy linear flow model is higher than the new model,and at the smaller bottom-hole pressure is more obviously.Under the same bottom-hole flow pressure,the productivity increases with the increase of the equilibrium coefficient,and decreases with the increase of the power law exponent.

关 键 词：致密油藏 非线性渗流 幂律方程 产能预测 参数敏感性 

分 类 号：TE348[石油与天然气工程—油气田开发工程]