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基于油井生产动态数据的出砂油井筛管冲蚀模型 被引量:10

Screen erosion model for sand-production oil well based on its production performance data
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摘要 筛管冲蚀损坏是油井常见的防砂失效形式,现有筛管冲蚀模型过于复杂,不能直接应用于在役油井筛管失效风险的量化分析。为了解决筛管冲蚀模型的现场应用问题,首先通过大量的室内实验数据拟合建立了冲蚀质量损失率的数学模型,并根据油田现场实际生产情况进一步简化模型,提出表征筛管冲蚀作用程度的参数C,建立了基于油井动态生产数据的筛管冲蚀失效分析的数学模型。以渤海Q油田为例,进行出砂油井筛管失效的计算分析,分析结果与现场测试结果完全一致,表明该模型可有效判断出砂油井井下筛管的工作状态。最后通过在役井C值与冲蚀临界值Ca的对比分析,形成了基于筛管冲蚀在役井的出砂风险预警方法,从而实现精准把控油田的出砂管理风险。 Screen erosion damage is one common form of sand control failure in oil wells.Existing screen erosion model is too complicated to directly apply to the quantitative analysis on the screen failure risk of in-service oil wells.A mathematical model for the erosion mass loss rate was firstly established based on the fitting of a great number of laboratory experiment data.Based on the actual production situations of the oil field,the model was simplified further,the parameter C for characterizing screen erosion degree was proposed,and a mathematical model for analyzing the screen failure based on the dynamic production data of oil well was established.Then,the screen failure of sand-production oil well was calculated and analyzed with Bohai Q Oilfield as an example.The analysis result is completely in accordance with the field test result,indicating that this model can provide effective judgment on the working states of downhole screens in sand-production oil wells.Finally,the sand production risk prewarning method for in-service wells based on screen erosion was developed by analyzing and comparing the C value of in-service well and the critical value of erosion Ca,so as to realize the precise control of sand production risk in the oilfield.
作者 邱浩 曹砚锋 文敏 范志利 QIU Hao;CAO Yanfeng;WEN Min;FAN Zhili(CNOOC Research Institute Company Limited,Beijing 100028,China)
出处 《石油钻采工艺》 CAS 北大核心 2019年第6期796-801,共6页 Oil Drilling & Production Technology
基金 国家“十三五”科技重大专项“海上稠油油田高效开发钻采技术”(编号:2016ZX05025-002) 中海石油(中国)有限公司“十三五”重大科技项目“生产井出砂管理及监测设备工程化技术研究”(编号:YXKY-2018-ZY-02)
关键词 防砂筛管 冲蚀实验 冲蚀模型 冲蚀临界值 出砂风险 sand control screen erosion experiment erosion model critical value of erosion sand production risk
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