摘要
目前多层油藏注水开发指标预测方法忽略了油藏的平面非均质性及注采井组开发的影响,指标预测结果与实际差别较大。基于油藏工程理论,推导并建立了考虑油藏平面、层间非均质性及注采井组开发的多层非均质油藏注水开发指标预测方法。该方法首先应用经验公式劈分各小层注采单元,然后对各注采单元非均质参数进行等效处理,将注采单元转化为均质单元,最后应用物质平衡原理和Buckley-Leveret水驱油理论,预测各注采单元的含水率、采出程度等开发指标,进而得到整个油藏的开发指标。将实例应用结果与数值模拟预测结果进行对比表明,该方法计算简单,效率高,结果准确,可用于实际油藏开发指标的预测。
Now the prediction methods of waterflooding development indexes neglect the property of plain heterogeneity and the development of the injection-production well group, resulting in a big difference between the predicted indexes and actual development indexes. Based on reservoir engineering theory, considering the interlayer and plain heterogeneity and injection- production well group, a prediction method of waterflooding development indexes for the multi-layer heterogeneous reservoir was proposed. First, the multi-layer heterogeneous reservoir is split by empirical formula. Then, each injection-production region is processed to be equivalent to a homogeneous unit. Finally, based on material balance theory and Buckley-Leveret waterflooding theory, the development indexes such as water cut and recovery of every unit are calculated. The indexes of the whole reservoir can be obtained. This method was applied to a reservoir model, and the development indexes were calculated by the established method and reservoir numerical simulator. Results show that the established method can obtain the development indexes simply, effectively and precisely, which can be used to predict development indexes for an actual reservoir.
作者
陈红伟
冯其红
张先敏
吴天琛
周文胜
刘晨
CHEN Hongwei;FENG Qihong;ZHANG Xianmin;WU Tianchen;ZHOU Wensheng;LIU Chen(School of Petroleum Engineering,China University of Petroleum,Qingdao 266580,China;CNOOC Research Institute,Beijing 100027,China)
出处
《断块油气田》
CAS
北大核心
2018年第4期473-476,共4页
Fault-Block Oil & Gas Field
基金
国家科技重大专项专题"海上高含水期油藏大井距井网加密矢量优化与注采结构调整技术"(2016ZX05025-001-006)
教育部长江学者和创新团队发展计划"复杂油藏开发及提高采收率"(IRT1294)
关键词
多层油藏
层间非均质性
平面非均质性
注采井组
开发指标预测
multi-layer reservoir
interlayer heterogeneity
plain heterogeneity
injection-production well group
development indexes prediction
