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流线模型的深部调剖影响因素分析及矿场应用
引用本文:樊兆琪,程林松,黎晓茸,贾玉琴,戴夫.流线模型的深部调剖影响因素分析及矿场应用[J].西南石油大学学报(社会科学版),2015,35(2):121-126.
作者姓名:樊兆琪  程林松  黎晓茸  贾玉琴  戴夫
作者单位:1. 中国石油大学(北京)石油工程学院,北京昌平1022492. 中国石油长庆油田公司油气工艺研究院,陕西西安710021
摘    要:流线模型作为一种新兴的工具被广泛应用于油田开发方案编制、效果评价与指标预测等方面。通过建立深部调剖流线模型,对比分析了注入调剖剂前后流线变化规律,提出了相应的渗流场变化模式。在流线模型的基础上,分析了调剖位置、调剖时机、封堵率、注入浓度对调剖效果的影响,进而引申出深部调剖矿场试验中的关键指标。结合某试验区实际井组评价了影响矿场试验效果的决定性因素,对同类区块开展深部调剖有一定的借鉴意义。

关 键 词:流线模型    深部调剖    影响因素    矿场试验    效果评价

Influence Factor Analysis and Field Application of Deep Profile-controllingBased on the Streamline Model
Fan Zhaoqi,Cheng Linsong,Li Xiaorong,Jia Yuqin,Dai Fu.Influence Factor Analysis and Field Application of Deep Profile-controllingBased on the Streamline Model[J].Journal of Southwest Petroleum University(Social Sciences Edition),2015,35(2):121-126.
Authors:Fan Zhaoqi  Cheng Linsong  Li Xiaorong  Jia Yuqin  Dai Fu
Institution:1. China Univefsity of Petroleum(Beijing),Changping,Beijing 102249,China2. Oil & Gas Technology Research Institute Changqing Oilfield Company,PetroChina,Xi′an,Shaanxi 710021,China
Abstract:The streamline model has been used to make oil field development program,to evaluate the effectiveness of adjustmentand to forecast the indices of production as a burgeoning tool. We analyze the changing regularity of streamline beforeand after in-depth profile control agent injection,reveal the corresponding seepage field changing mode by building the deepprofile-controlling streamline model. Based on the streamline model,the influence of position,timing,stemming ratio andthe injection concentration on the effect of profile-controlling have been analyzed,and then the key indices of deep profilecontrollingpilot site are proposed. The conclusive influence factors of the effectiveness of the test have been found from twowell groups in WLW pilot site,which can be definitely used as reference for the application of deep profile control agent insimilar oil fields.
Keywords:treamline model                                                                                                                        deep profile-controlling                                                                                                                        influence factors                                                                                                                        field test                                                                                                                        effectiveness evaluation
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