摘要
我国大部分油田已进入产量递减阶段,准确进行产量评价对开发调整方案编制具有重要意义。目前的产量递减模型主要有指数递减、调和递减和双曲递减,但它们在产量递减后期的预测精度较差。针对该问题,运用反映渗流特征的油水相渗关系式,结合油藏工程方法和物质守恒定律,建立了水驱油藏理论产量递减公式,并在江苏油田高6断块进行了应用。研究结果表明,理论递减率受递减初期产量、油相指数及油藏可动油储量等因素的影响,应用文中公式对水驱油藏开发效果进行评价,可以解决传统递减后期预测不准确的问题。研究成果可为油田产量评价及产能预测提供理论指导,具有较高的应用价值。
After many years of development, most of the oilfields in China have reached a stage of production decline, and accurate production evaluation is of great significance to designing adjusting plan of revservoir. The current methods of production decline are mainly exponential decline, harmonic reduction and hyperbolic decline, but they all have poor prediction accuracy for the later stage of production decline. Based on this problem, combined the reservoir engineering method with the law of conservation of mass, the theoretical formula of the production decline law of the yield of water drive reservoirs was established. The actual block was used for the analysis. The results show that the production decline rate is influenced by factors such as production of initial decline stage, relative permeability index of oil phase, and available oil volume of the reservoir. Applying the formula to evaluating the development effect of water drive reservoirs can solve the problem of inaccurate prediction in the traditional decline method. The research results of this paper have high practical value on providing theoretical guidance for oilfield productivity evaluation.
作者
崔传智
尹帆
李立峰
冯绪波
CUI Chuanzhi;YIN Fan;LI Lifeng;FENG Xubo(MOE Key Laboratory of Unconventional Oil & Gas Development,China University of Petroleum,Qingdao 266580,China;School of Petroleum Engineering,China University of Petroleum,Qingdao 266580,China;No.1 Oil Production Plant,Jiangsu Oilfield Company,SINOPEC,Yangzhou 225265,China)
出处
《断块油气田》
CAS
CSCD
北大核心
2019年第5期605-608,共4页
Fault-Block Oil & Gas Field
基金
国家科技重大专项专题“平面分区均衡动用主控因素及优化调控方法研究”(2016ZX05011-002-003)
中国石化科技计划项目“整装油田特高含水期流场调控优化方法研究”(P16100)
关键词
水驱油藏
产量递减
产能评价
理论递减率
water drive reservoir
production decline
productivity evaluation
theoretical decline rate