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碳酸盐岩缝洞储集层电成像测井产量预测 被引量:11

Production prediction for fracture-vug carbonate reservoirs using electric imaging logging data
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摘要 针对碳酸盐岩缝洞储集层中流体流动的非达西渗流特点,应用电成像测井资料图像分割技术,提出一种新的碳酸盐岩缝洞储集层电成像多尺度管流模型产量预测方法。该方法以描述细管中不可压缩流体流动的Hagen-Poiseuille定律为基础,根据碳酸盐岩缝洞储集层井筒内单个缝洞横截面积大小不同这一特征,建立碳酸盐岩缝洞储集层多尺度管流模型,给出碳酸盐岩缝洞储集层多尺度细管平面径向流流量计算公式;引入管流模型产量指数的概念,应用电成像测井资料图像分割结果提取的缝洞面积参数计算管流模型产量指数,最终实现碳酸盐岩缝洞储集层电成像测井资料产量预测。将此方法应用于塔里木盆地北部地区奥陶系碳酸盐岩缝洞储集层,预测结果与实际试油资料吻合较好。 Considering the fluid flow non-darcy characteristics in fracture-vug carbonate reservoirs,a new multi-scale conduit flow model production prediction method for fracture-vug carbonate reservoirs was presented using image segmentation technique of electric imaging logging data.Firstly,based on Hagen-Poiseuille's law of incompressible fluid flow and the different cross-sectional areas in single fractures and vugs in carbonate reservoirs,a multi-scale conduit flow model for fracture-vug carbonate reservoir was established,and a multi-scale conduit radial fluid flow equation was deduced.Then,conduit flow production index was introduced.The conduit flow production index was calculated using fracture-vug area extracted from the result of electrical image segmentation.Finally,production prediction of fracture-vug carbonate reservoir was realized by using electric imaging logging data.The method has been applied to Ordovician fracture-vug carbonate reservoirs in the Tabei area,and the predicted results are in good agreement with the oil testing data.
作者 谢芳 张承森 刘瑞林 肖承文 XIE Fang;ZHANG Chengsen;LIU Ruilin;XIAO Chengwen(Geophysics and Oil Institute, Yangtze University, Wuhan 430100, China;Research Institute of Exploration and Development,Tarim Oilfield Company,PetroChina, Korla 841000,China)
出处 《石油勘探与开发》 SCIE EI CAS CSCD 北大核心 2018年第2期349-356,共8页 Petroleum Exploration and Development
基金 国家科技重大专项"大型油气田及煤层气开发"(2011ZX05020-008)
关键词 塔里木盆地 奥陶系 碳酸盐岩 缝洞储集层 电成像测井 管流模型 产量指数 产量预测 Tarim Basin Ordovician carbonate fracture-vug carbonate reservoir electric imaging logging conduit flow model production index production prediction
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