一种裂缝性油藏产能预测新方法  

New prediction method for fracture reservoir productivity

作　　者：郑学锐 李贤兵[1] 李香玲[1] 

机构地区：[1]中国石油勘探开发研究院,北京100083

出　　处：《断块油气田》2015年第6期744-746,751,共4页Fault-Block Oil & Gas Field

基　　金：中国石油集团重大科技专项"中国石油海外油气上产2亿吨开发关键技术研究"课题"海外油气田开发潜力评价及开发策略和决策支持系统研究"(2011E-2510)

摘　　要：裂缝性油藏裂缝发育,非均质性强,渗流规律复杂,单井产能预测难度大,而产能预测是油田开发评价的重要环节。常规有效的产能预测方法只能通过试油、试采和试井来确定,耗时较长。为此,文中基于裂缝性油藏渗流模型和数学模型,通过Laplace变换得出Laplace空间上的无因次产量解,然后编程,使用Stehfest数值反演方法得到真实空间上的无因次产量解,根据真实时间和产量与无因次时间和产量的换算关系,对裂缝性油藏任一时间的产量进行了预测。运用该方法对乍得某盆地裂缝性油藏进行产能预测,预测产量与实际产量相对误差在5%左右,说明该方法能快速预测裂缝性油藏产能。Fracture reservoir is highly heterogeneous and the mechanics of fluid in porous media is complicated, so the prediction of single well productivity is very difficult. Well productivity prediction is the key part of oil field development evaluation but it is based on the result of formation testing, well testing and production test, which usually takes a long time. Based on physical and mathematical model of fracture reservoir, the dimensionless oil production in Laplace space by Laplace transforming is obtained. Stehfest numerical inverse transform is used to get the dimensionless oil production in real space. According to the reduction formula between actual production and dimensionless one, the production of any moment can be obtained. The method is used for oil production prediction in a fracture reservoir in Chad and the relative error is about 5%, which means this method meets the need for well production prediction in fracture reservoir.

关 键 词：裂缝性油藏 产能预测 无因次产量 

分 类 号：TE122.322[石油与天然气工程—油气勘探]