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作 者:赵洪涛 于喜 于伟强 房鑫磊 ZHAO Hongtao;YU Xi;YU Weiqiang;FANG Xinlei(China-France Bohai Geoservices Co.,Ltd.,Tianjin 300457,China)
出 处:《石油地质与工程》2022年第3期78-81,86,共5页Petroleum Geology and Engineering
摘 要:稠油储层探井产能测试中,由于出砂造成井筒附近渗流能力不断改善,经常使得产能方程异常,无法求取极限产量,比采油指数作为评价储层产能的重要指标,在稠油勘探、开发中具有重要意义。通过对渤海油田明化镇组、馆陶组稠油储层近期的试油成果总结,分析比采油指数与录井、测井相关解释结果的函数关系,建立了两种区域性比采油指数预测模型,达到优化测试层选取,提高测试成功率的目的。预测模型经最新的探井试油结果验证,相对误差率为5.68%~10.41%,对于渤海浅层稠油储层比采油指数预测具有较好的适用性,对其他地区测试前产能预测也具有一定借鉴意义。During exploratory well productivity testing in heavy oil reservoirs,the seepage capacity near wellbore is constantly improved due to sand production,which often leads to abnormal productivity equation and the ultimate limiting producing rate cannot be calculated.As an important index to evaluate reservoir productivity,specific oil recovery index(Hereinafter called J_(os))is of great significance in heavy oil exploration and development.By summarizing the recent oil productivity test results of Minghuazhen and Guantao group heavy oil reservoirs in Bohai oilfield,and analyzing the functional relationship between J_(os) and the interpretation results of mud logging and well logging,two regional J_(os) prediction models are established,which contribute to optimizing selection of testing layers and improving the success ratio of testing.The prediction model is verified by the latest oil production test results,and the error rate is between 5.68%and 10.41%.It has good applicability for the prediction of J_(os) of shallow heavy oil reservoir in Bohai oilfield.Meanwhile it also has a guiding significance for productivity prediction in other areas.
分 类 号:TE345[石油与天然气工程—油气田开发工程]
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