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致密油储层水平井压后产能预测研究 被引量:9

Tight Oil Reservoir Productivity Prediction after Fracturing in Horizontal Wells
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摘要 对于致密油储层水平井压后产能预测,大多基于达西渗流建立产能预测模型,得到相应的产能解析公式,但利用测井资料来预测该类储层压后产能的方法还不甚成熟。本文利用压裂段内各小层长度、孔隙度、含水饱和度和层厚建立近井产能指数,同时基于每米加砂量表征储层的改造程度,综合近井产能指数和每米加砂量得到综合产能指数,综合产能指数相较近井产能指数与示踪剂跟踪监测的各段产能吻合更好。同时对比稳态条件下解析公式计算的产能与综合产能指数计算产能之间的差异,结果表明,综合产能指数考虑了近井储层因素和储层改造程度,更接近实际产能,对测井工作者进行该类储层压后产能评价具有一定的参考价值。 For the productivity prediction of horizontal wells in tight oil reservoirs after fracturing,which mainly based on Darcy flow to establish the productivity prediction models and get the relevant analysis equations subsequently.But it is not mature to use logging methods to predict the productivity of these reservoirs.Near-well productivity index is established by length,porosity,water saturation and layer thickness,and the volume of sands per meter is used to represent the fracturing results.Then near-well productivity index and volume of sands per meter were used to build the comprehensive productivity index,which is in better agreement with the actual productivity of every fracturing section getting by isotopic tracer.Meanwhile estimating the productivity by steady analysis equations,and compared with the productivity calculated by comprehensive productivity index.And the results show that the productivity calculated by comprehensive productivity index is closer to the actual productivity,which takes into account the near-well factors of reservoirs and the fracturing results.And it has a certain reference value on productivity prediction of these reservoirs after fracturing for logging interpreters.
作者 刘坤 孙建孟 王艳 LIU Kun;SUN Jian-meng;WANG Yan(School of Geosciences, China University of Petroleum, Qingdao 266580, P. R. China;Wireline Logging Company, Daqing Drilling Engineering Company, Daqing 163412, P. R. China)
出处 《科学技术与工程》 北大核心 2017年第29期88-95,共8页 Science Technology and Engineering
基金 国家自然科学基金(41374124) 青年科学基金(41704113)资助
关键词 致密油水平井储层 近井产能指数 综合产能指数 稳态解析公式 产能预测 tight oil reservoirs in horizontal wells near-well productivity index comprehensive productivity index steady analytical formula productivity prediction
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