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薄层特超稠油油藏双水平井SAGD开发指标预测模型
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  • 英文篇名:Predictive models of dual horizontal well SAGD for thin formation and super heavy oil reservoirs
  • 作者:王传飞 ; 吴光焕 ; 韦涛 ; 李伟忠
  • 英文作者:Wang Chuanfei;Wu Guanghuan;Wei Tao;Li Weizhong;Institute of Petroleum Exploration and Production,Shengli Oilfield Company Ltd.,SINOPEC;
  • 关键词:油气田开发工程 ; 薄层稠油 ; 蒸汽辅助重力泄油 ; 预测模型 ; 采收率 ; 内部收益率
  • 英文关键词:oil and gas field development engineering;;heavy oil with thin formation;;steam assisted gravity drainage;;predictive model;;oil recovery;;internal rate of return
  • 中文刊名:SZDL
  • 英文刊名:Journal of Shenzhen University Science and Engineering
  • 机构:中国石油化工股份有限公司胜利油田分公司勘探开发研究院;
  • 出版日期:2015-09-30
  • 出版单位:深圳大学学报(理工版)
  • 年:2015
  • 期:v.32;No.133
  • 基金:国家重大科技专项重点资助项目(2011ZX05011);; 中国石化股份公司科研资助项目(P13055)~~
  • 语种:中文;
  • 页:SZDL201505005
  • 页数:7
  • CN:05
  • ISSN:44-1401/N
  • 分类号:37-43
摘要
指出蒸汽辅助重力泄油(steam assisted gravity drainage,SAGD)开发技术具有采收率较高、投资多和风险大的特点,适用于油层较厚、原油黏度非常大及常规热采开发方式无法经济有效开发的稠油油藏.本研究采用数值模拟和经济评价方法,结合影响因素对SAGD开发效果的影响,建立各影响因素与开发效果的单因素定量关系;并利用多元非线性回归方法,建立SAGD采收率在不同油价下内部收益率与影响因素之间的多因素预测模型.研究结果表明,油层厚度、地层原油黏度、平面渗透率、垂向渗透率和初始含油饱和度是影响SAGD开发效果的主要因素;该预测模型能够适应国际油价变化,而且,通过国外SAGD典型区块实例验证具有较强的实用性和油藏适应性.
        Steam assisted gravity drainage( SAGD) technology,with the problems of large investment and high risks,despite higher recovery compared with other technologies,is more applicable to heavy oil reservoirs with thicker formation and larger oil viscosity,which common thermal methods are difficult to deal with. This paper investigates the effects of influential factors on SAGD development and introduces quantitative models between each influential factor and development index. The multiple factors regression predictive models are established to predict the SAGD oil efficiency and the internal rate of return under different oil prices. The results exhibit effects of different influencial factors including formation thickness, formation oil viscosity, plane permeability, vertical permeability and initial oil saturation,on the efficiency of SAGD. The proposed predictive models can be compatible with effects of international oil price variation. The models have been applied to a typical field of SAGD abroad to verify the applicability and accuracy of the models in engineering.
引文
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